From 595ae20a1df72c279ed227a7ccb7b6d4dce0ca7b Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Mon, 3 Jun 2024 18:01:15 +0200 Subject: [PATCH 01/93] add to dos --- orthority/__init__.py | 2 ++ orthority/ortho.py | 2 ++ orthority/utils.py | 3 +++ 3 files changed, 7 insertions(+) diff --git a/orthority/__init__.py b/orthority/__init__.py index aa672fa..bef01a2 100644 --- a/orthority/__init__.py +++ b/orthority/__init__.py @@ -18,6 +18,8 @@ # enable on-demand download and caching of proj transformation grids (NB must be done before # importing rasterio) +# TODO: can this be called in CLI, then document and leave it up to the API user to call themselves? +# it needs to be done before importing rasterio though... os.environ.update(PROJ_NETWORK='ON') import logging diff --git a/orthority/ortho.py b/orthority/ortho.py index 85b1bbc..f445a39 100644 --- a/orthority/ortho.py +++ b/orthority/ortho.py @@ -543,6 +543,8 @@ def _remap( tile_wins = [tile_win for _, tile_win in ortho_im.block_windows(1)] progress.total = len(tile_wins) * len(index_list) + # TODO: Memory increases ~linearly with number of threads, but does processing speed? + # Make number of threads configurable and place a limit on the default value with ThreadPoolExecutor(max_workers=os.cpu_count()) as executor: # read, process and write bands, one row of indexes at a time for indexes in index_list: diff --git a/orthority/utils.py b/orthority/utils.py index 829db03..3a2599d 100644 --- a/orthority/utils.py +++ b/orthority/utils.py @@ -54,6 +54,9 @@ @contextmanager def suppress_no_georef(): """Context manager to suppress rasterio's NotGeoreferencedWarning.""" + # TODO: warnings.catch_warnings is not thread-safe and warnings.simplefilter should rather be + # called once in cli. consider what this does to API doc examples though - perhaps it can + # go in __init__.py. with warnings.catch_warnings(): warnings.simplefilter('ignore', category=NotGeoreferencedWarning) yield From cf20b2b6d86dad021afd0138e196cc9a319b1d61 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 12 Jun 2024 12:32:29 +0200 Subject: [PATCH 02/93] update paths --- tests/data/create_test_data.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/tests/data/create_test_data.py b/tests/data/create_test_data.py index 1ec454c..119c430 100644 --- a/tests/data/create_test_data.py +++ b/tests/data/create_test_data.py @@ -18,19 +18,19 @@ from orthority.utils import expand_window_to_grid ngi_src_root = Path('V:/Data/SimpleOrthoEgs/NGI_3324C_2015_Baviaans/') -ngi_test_root = Path('C:/Data/Development/Projects/simple-ortho/tests/data/ngi') +ngi_test_root = Path('C:/Data/Development/Projects/orthority/tests/data/ngi') odm_src_root = Path('V:/Data/SimpleOrthoEgs/20190411_Miaoli_Toufeng_Tuniu-River') -odm_test_root = Path('C:/Data/Development/Projects/simple-ortho/tests/data/odm') +odm_test_root = Path('C:/Data/Development/Projects/orthority/tests/data/odm') -io_root = Path('C:/Data/Development/Projects/simple-ortho/tests/data/io') +io_root = Path('C:/Data/Development/Projects/orthority/tests/data/io') rpc_src_root = Path( 'D:/Data/Development/Projects/PhD GeoInformatics/Data/Digital Globe/056844553010_01' '/056844553010_01_P001_PAN/' ) -rpc_test_root = Path('C:/Data/Development/Projects/simple-ortho/tests/data/rpc') +rpc_test_root = Path('C:/Data/Development/Projects/orthority/tests/data/rpc') # TODO: save images as COGs to optimise URL tests and doc egs @@ -291,7 +291,7 @@ def create_rpc_test_data(): gcps = src_im.gcps # find window corresponding to dem bounds (inner buffer of 1000) - bounds = transform_bounds(dem_crs, src_im.gcps[1], *dem_bounds) + bounds = transform_bounds(dem_crs, gcps[1], *dem_bounds) with GCPTransformer(gcps[0]) as tform: ul = np.round(tform.rowcol(bounds[0], bounds[3])[::-1], -2) + 1000 br = np.round(tform.rowcol(bounds[2], bounds[1])[::-1], -2) - 1000 @@ -411,7 +411,7 @@ def create_io_test_data(): if __name__ == '__main__': - create_odm_test_data() - create_ngi_test_data() + # create_odm_test_data() + # create_ngi_test_data() create_rpc_test_data() - create_io_test_data() + # create_io_test_data() From 6de8c90abd8cb98113368134e39eea32920d49bd Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 12 Jun 2024 12:49:50 +0200 Subject: [PATCH 03/93] typing fixes (tuple->list) --- orthority/exif.py | 6 +++--- tests/conftest.py | 22 ++++++++++++++-------- tests/test_cli.py | 4 ++-- tests/test_factory.py | 6 +++--- tests/test_ortho.py | 8 ++++---- tests/test_param_io.py | 26 +++++++++----------------- 6 files changed, 35 insertions(+), 37 deletions(-) diff --git a/orthority/exif.py b/orthority/exif.py index 44c2dcc..7bca8a8 100644 --- a/orthority/exif.py +++ b/orthority/exif.py @@ -216,7 +216,7 @@ def rpy(self) -> tuple[float, float, float] | None: return self._rpy @property - def dewarp(self) -> Sequence[float] | None: + def dewarp(self) -> list[float] | None: """Dewarp parameters.""" return self._dewarp @@ -350,12 +350,12 @@ def _get_xmp_rpy(xmp_dict: dict[str, str]) -> tuple[float, float, float] | None: return None @staticmethod - def _get_xmp_dewarp(xmp_dict: dict[str, str]) -> Sequence[float] | None: + def _get_xmp_dewarp(xmp_dict: dict[str, str]) -> list[float] | None: """Return the camera dewarp parameters if they exist.""" for schema_name, xmp_schema in _xmp_schemas.items(): dewarp_str = xmp_dict.get(xmp_schema['dewarp_key'], None) if dewarp_str: - return tuple([float(ps) for ps in dewarp_str.split(';')[-1].split(',')]) + return [float(ps) for ps in dewarp_str.split(';')[-1].split(',')] return None def to_dict(self) -> dict[str, object]: diff --git a/tests/conftest.py b/tests/conftest.py index de8265e..2242305 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -30,7 +30,13 @@ from rasterio.warp import array_bounds, transform, transform_bounds from orthority.camera import ( - BrownCamera, Camera, FisheyeCamera, FrameCamera, OpenCVCamera, PinholeCamera, RpcCamera, + BrownCamera, + Camera, + FisheyeCamera, + FrameCamera, + OpenCVCamera, + PinholeCamera, + RpcCamera, ) from orthority.enums import CameraType from orthority.ortho import Ortho @@ -70,7 +76,7 @@ def sinusoid(shape: tuple[int, int]) -> np.ndarray: return array -def ortho_bounds(camera: Camera, z: float = Ortho._egm_minmax[0]) -> tuple: +def ortho_bounds(camera: Camera, z: float = Ortho._egm_minmax[0]) -> list[float]: """Return (left, bottom, right, top) ortho bounds for the given ``camera`` at ``z``.""" w, h = np.array(camera.im_size) - 1 ji = np.array( @@ -79,11 +85,11 @@ def ortho_bounds(camera: Camera, z: float = Ortho._egm_minmax[0]) -> tuple: xyz = camera.pixel_to_world_z(ji, z) if isinstance(camera, FrameCamera) and camera.pos: xyz = np.column_stack((xyz, camera.pos)) - return *xyz[:2].min(axis=1), *xyz[:2].max(axis=1) + return [*xyz[:2].min(axis=1), *xyz[:2].max(axis=1)] def create_zsurf( - bounds: tuple[float], + bounds: list[float], z_off: float = _dem_offset, z_gain: float = _dem_gain, resolution: tuple[float, float] = _dem_resolution, @@ -661,9 +667,9 @@ def odm_dataset_dir() -> Path: @pytest.fixture(scope='session') -def odm_image_files(odm_dataset_dir: Path) -> tuple[Path, ...]: +def odm_image_files(odm_dataset_dir: Path) -> list[Path]: """ODM drone image files.""" - return tuple([fn for fn in odm_dataset_dir.joinpath('images').glob('*.tif')]) + return [fn for fn in odm_dataset_dir.joinpath('images').glob('*.tif')] @pytest.fixture(scope='session') @@ -705,9 +711,9 @@ def odm_crs(odm_dem_file) -> str: @pytest.fixture(scope='session') -def ngi_image_files() -> tuple[Path, ...]: +def ngi_image_files() -> list[Path]: """NGI image files.""" - return tuple([fn for fn in root_path.joinpath('tests/data/ngi').glob('*RGB.tif')]) + return [fn for fn in root_path.joinpath('tests/data/ngi').glob('*RGB.tif')] @pytest.fixture(scope='session') diff --git a/tests/test_cli.py b/tests/test_cli.py index c23aec4..c53116a 100644 --- a/tests/test_cli.py +++ b/tests/test_cli.py @@ -1056,7 +1056,7 @@ def test_exif_lla_crs( def test_odm_dataset_dir( - odm_dataset_dir: Path, odm_image_files: tuple[Path, ...], tmp_path: Path, runner: CliRunner + odm_dataset_dir: Path, odm_image_files: list[Path], tmp_path: Path, runner: CliRunner ): """Test ``oty odm`` creates orthos in ``<--dataset-dir>/orthority`` sub-folder.""" shutil.copytree(odm_dataset_dir, tmp_path, dirs_exist_ok=True) # copy test data to tmp_path @@ -1069,7 +1069,7 @@ def test_odm_dataset_dir( def test_odm_out_dir( - odm_dataset_dir: Path, odm_image_files: tuple[Path, ...], tmp_path: Path, runner: CliRunner + odm_dataset_dir: Path, odm_image_files: list[Path], tmp_path: Path, runner: CliRunner ): """Test ``oty odm --out-dir`` creates orthos in the ``--out-dir`` folder.""" cli_str = f'odm --dataset-dir {odm_dataset_dir} --res 5 --out-dir {tmp_path}' diff --git a/tests/test_factory.py b/tests/test_factory.py index f701f2e..db807d9 100644 --- a/tests/test_factory.py +++ b/tests/test_factory.py @@ -90,7 +90,7 @@ def test_frame_cameras_init_error(ngi_oty_int_param_file: Path, ngi_oty_ext_para assert 'not supported' in str(ex.value) -def test_frame_cameras_from_images(odm_image_files: tuple[Path, ...]): +def test_frame_cameras_from_images(odm_image_files: list[Path]): """Test creating a frame camera factory from images.""" cameras = FrameCameras.from_images(odm_image_files) assert cameras.crs is not None @@ -99,7 +99,7 @@ def test_frame_cameras_from_images(odm_image_files: tuple[Path, ...]): assert len(cameras._ext_param_dict) > 0 -def test_frame_cameras_from_images_kwargs(odm_image_files: tuple[Path, ...], ngi_crs: str): +def test_frame_cameras_from_images_kwargs(odm_image_files: list[Path], ngi_crs: str): """Test creating a frame camera factory from images passes ``io_kwargs`` and ``cam_kwargs`` through. """ @@ -113,7 +113,7 @@ def test_frame_cameras_from_images_kwargs(odm_image_files: tuple[Path, ...], ngi assert camera.alpha == cam_kwargs['alpha'] -def test_frame_cameras_get(odm_reconstruction_file: Path, odm_image_files: tuple[Path, ...]): +def test_frame_cameras_get(odm_reconstruction_file: Path, odm_image_files: list[Path]): """Test ``FrameCameras.get()`` for known filenames.""" cameras = FrameCameras(odm_reconstruction_file, odm_reconstruction_file) assert cameras.filenames == {Path(fn).stem for fn in odm_image_files} diff --git a/tests/test_ortho.py b/tests/test_ortho.py index ea9e82d..8f55f1a 100644 --- a/tests/test_ortho.py +++ b/tests/test_ortho.py @@ -1168,7 +1168,7 @@ def test_process_progress( def test_process_ngi( - ngi_image_files: tuple[Path, ...], + ngi_image_files: list[Path], ngi_dem_file: Path, ngi_legacy_config_file: Path, ngi_legacy_csv_file: Path, @@ -1191,11 +1191,11 @@ def test_process_ngi( assert ortho_file.exists() ortho_files.append(ortho_file) - _validate_ortho_files(tuple(ortho_files)) + _validate_ortho_files(ortho_files) def test_process_odm( - odm_image_files: tuple[Path, ...], + odm_image_files: list[Path], odm_dem_file: Path, odm_reconstruction_file: Path, odm_crs: str, @@ -1218,4 +1218,4 @@ def test_process_odm( assert ortho_file.exists() ortho_files.append(ortho_file) - _validate_ortho_files(tuple(ortho_files), num_ovl_thresh=5) + _validate_ortho_files(ortho_files, num_ovl_thresh=5) diff --git a/tests/test_param_io.py b/tests/test_param_io.py index d992fc7..f4461fa 100644 --- a/tests/test_param_io.py +++ b/tests/test_param_io.py @@ -340,9 +340,7 @@ def test_rpy_to_opk(C_bB: np.ndarray): assert C_En.T.dot(R_opk).dot(C_bB.T) == pytest.approx(C_nb, abs=1e-6) -def test_csv_reader_legacy( - ngi_legacy_csv_file: Path, ngi_crs: str, ngi_image_files: tuple[Path, ...] -): +def test_csv_reader_legacy(ngi_legacy_csv_file: Path, ngi_crs: str, ngi_image_files: list[Path]): """Test reading exterior parameters from a legacy format CSV file.""" reader = param_io.CsvReader(ngi_legacy_csv_file, crs=ngi_crs) assert reader._fieldnames == param_io.CsvReader._legacy_fieldnames @@ -355,9 +353,7 @@ def test_csv_reader_legacy( _validate_ext_param_dict(ext_param_dict, cameras=[None]) -def test_csv_reader_xyz_opk( - ngi_xyz_opk_csv_file: Path, ngi_crs: str, ngi_image_files: tuple[Path, ...] -): +def test_csv_reader_xyz_opk(ngi_xyz_opk_csv_file: Path, ngi_crs: str, ngi_image_files: list[Path]): """Test reading exterior parameters from an XYZ-OPK format CSV file with a header.""" reader = param_io.CsvReader(ngi_xyz_opk_csv_file, crs=ngi_crs) assert reader._fieldnames == param_io.CsvReader._legacy_fieldnames @@ -402,7 +398,7 @@ def test_csv_reader_xyz_opk_radians( def test_csv_reader_lla_rpy( odm_lla_rpy_csv_file: Path, odm_crs: str, - odm_image_files: tuple[Path, ...], + odm_image_files: list[Path], odm_reconstruction_file: Path, ): """Test reading exterior parameters from an LLA-RPY format CSV file with a header.""" @@ -619,7 +615,7 @@ def test_csv_reader_format( def test_csv_reader_dialect( odm_lla_rpy_csv_file: Path, odm_crs: str, - odm_image_files: tuple[Path, ...], + odm_image_files: list[Path], odm_reconstruction_file: Path, dialect: dict, tmp_path: Path, @@ -677,7 +673,7 @@ def test_osfm_reader_validity_error(ngi_oty_ext_param_file: Path): assert 'valid' in str(ex.value) -def test_exif_reader(odm_image_files: tuple[Path, ...], odm_crs: str): +def test_exif_reader(odm_image_files: list[Path], odm_crs: str): """Test ExifReader reads interior and exterior parameters successfully.""" reader = param_io.ExifReader(odm_image_files, crs=odm_crs) assert reader.crs == rio.CRS.from_string(odm_crs) @@ -692,9 +688,7 @@ def test_exif_reader(odm_image_files: tuple[Path, ...], odm_crs: str): assert ext_cam_ids.issubset(int_cam_ids) -def test_exif_reader_ext_values( - odm_image_files: tuple[Path, ...], odm_crs: str, odm_reconstruction_file -): +def test_exif_reader_ext_values(odm_image_files: list[Path], odm_crs: str, odm_reconstruction_file): """Test exterior parameter values from ExifReader against those from OsfmReader.""" ref_reader = param_io.OsfmReader(odm_reconstruction_file, crs=odm_crs) ref_ext_param_dict = ref_reader.read_ext_param() @@ -707,15 +701,13 @@ def test_exif_reader_ext_values( assert test_ext_param['opk'] == pytest.approx(ref_ext_param['opk'], abs=0.1) -def test_exif_reader_auto_crs(odm_image_files: tuple[Path, ...], odm_crs: str): +def test_exif_reader_auto_crs(odm_image_files: list[Path], odm_crs: str): """Test ExifReader auto determines a UTM CRS correctly.""" reader = param_io.ExifReader(odm_image_files, crs=None) assert reader.crs == rio.CRS.from_string(odm_crs) -def test_exif_reader_lla_crs( - odm_image_files: tuple[Path, ...], odm_crs: str, wgs84_egm2008_crs: str -): +def test_exif_reader_lla_crs(odm_image_files: list[Path], odm_crs: str, wgs84_egm2008_crs: str): """Test ExifReader exterior parameters are affected by lla_crs as expected.""" ref_reader = param_io.ExifReader(odm_image_files, crs=odm_crs) test_reader = param_io.ExifReader( @@ -741,7 +733,7 @@ def test_exif_reader_empty(): assert reader.read_ext_param() == {} -def test_exif_reader_progress(odm_image_files: tuple[Path, ...], capsys: pytest.CaptureFixture): +def test_exif_reader_progress(odm_image_files: list[Path], capsys: pytest.CaptureFixture): """Test ExifReader progress bar display.""" # default bar param_io.ExifReader(odm_image_files, progress=True) From 085734e5f832fb982a27dc93b9d50095c81646f3 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 12 Jun 2024 12:51:26 +0200 Subject: [PATCH 04/93] add rpc refinement backend --- orthority/fit.py | 116 +++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 116 insertions(+) create mode 100644 orthority/fit.py diff --git a/orthority/fit.py b/orthority/fit.py new file mode 100644 index 0000000..aa93397 --- /dev/null +++ b/orthority/fit.py @@ -0,0 +1,116 @@ +# Copyright The Orthority Contributors. +# +# This file is part of Orthority. +# +# Orthority is free software: you can redistribute it and/or modify it under the terms of the GNU +# Affero General Public License as published by the Free Software Foundation, either version 3 of +# the License, or (at your option) any later version. +# +# Orthority is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without +# even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Affero General Public License for more details. +# +# You should have received a copy of the GNU Affero General Public License along with Orthority. +# If not, see . +"""Camera model fitting and refinement.""" +from __future__ import annotations + +import logging +from copy import deepcopy +from typing import Sequence + +import numpy as np +from rasterio.rpc import RPC + +from orthority.camera import RpcCamera +from orthority.enums import RpcRefine + +logger = logging.getLogger(__name__) + +_default_rpc_refine_method = RpcRefine.shift + + +def refine_rpc( + rpc: RPC | dict, gcps: Sequence[dict], method: RpcRefine = _default_rpc_refine_method +) -> dict: + """ + Refine an RPC model with GCPs. + + Finds the least squares solution to the "shift" and "shift-and-drift" bias compensation + refinements described in https://doi.org/10.1016/j.isprsjprs.2005.11.001, for a single image, + and incorporates this into the provided RPC model. The approach is suited to narrow field + of view satellite imagery. + + :param rpc: + RPC parameters as a :class:`~rasterio.rpc.RPC` object or dictionary. + :param gcps: + List of GCP dictionaries, e.g. an item value in a dictionary returned by + :meth:`~orthority.param_io.read_im_gpcs` or :meth:`~orthority.param_io.read_oty_gpcs`. + :param method: + Refinement method. + + :return: + Refined RPC parameters as a dictionary. + """ + # TODO: robustness to outliers, maybe with optional inclusion of scipy + # TODO: full affine model, or the method described in https://doi.org/10.14358/PERS.75.9.1083 + method = RpcRefine(method) + camera = RpcCamera(None, rpc) + rpc = rpc.to_dict() if isinstance(rpc, RPC) else rpc + min_gcps = 1 if method is RpcRefine.shift else 2 + if len(gcps) < min_gcps: + raise ValueError(f"At least {min_gcps} are required for the '{method}' method.") + + def _norm_ji(rpc: dict, ji: np.ndarray) -> np.ndarray: + """Normalise pixel coordinates with the given RPC scale / offset parameters.""" + norm_ji = ji.T - (rpc['samp_off'], rpc['line_off']) + norm_ji /= (rpc['samp_scale'], rpc['line_scale']) + return norm_ji.T + + # normalised GCP pixel coordinates + ji_gcp = np.array([gcp['ji'] for gcp in gcps]).T + ji_gcp = _norm_ji(rpc, ji_gcp) + + # normalised RPC pixel coordinates of GCP geographic coordinates + xyz = np.array([(gcp['xyz']) for gcp in gcps]).T + ji_rpc = camera.world_to_pixel(xyz) + ji_rpc = _norm_ji(rpc, ji_rpc) + + # find the (partial) affine transform to "refine" RPC pixel coordinates + refine_tform = np.eye(2, 3) + if method == RpcRefine.shift: + off = ji_gcp - ji_rpc + refine_tform[:, -1] = off.mean(axis=1) + else: + if len(gcps) < 2: + raise ValueError("At least 2 GCPs are required for the 'shift and drift' method.") + for axis in range(2): + ji_rpc_ = np.row_stack((ji_rpc[axis], np.ones((ji_rpc.shape[1])))) + (m, c), res, rank, s = np.linalg.lstsq(ji_rpc_.T, ji_gcp[axis], rcond=None) + refine_tform[axis, axis] = m + refine_tform[axis, 2] = c + + if logger.getEffectiveLevel() <= logging.DEBUG: + # log the refinement transform and accuracy + ji_rpc_ = np.row_stack((ji_rpc, np.ones(ji_rpc.shape[1]))) + ji_refine = refine_tform.dot(ji_rpc_) + err = ((ji_gcp - ji_refine).T * (rpc['samp_scale'], rpc['line_scale'])).T # pixels + err_dist = np.sum(err**2, axis=0) + logger.debug(f"Refinement transform: \n{refine_tform}") + logger.debug(f"Refinement RMSE (pixels): {np.sqrt(np.mean(err_dist)):.5f}") + logger.debug( + f"Refinement min - max error (pixels): " + f"{np.sqrt(np.min(err_dist)):.5f} - {np.sqrt(np.max(err_dist)):.5f}" + ) + + # incorporate the refinement transform into the original RPC coefficients + refined_rpc = deepcopy(rpc) + for axis, num_key, den_key in zip( + range(2), ['samp_num_coeff', 'line_num_coeff'], ['samp_den_coeff', 'line_den_coeff'] + ): + refined_rpc[num_key] = np.array(refined_rpc[num_key]) * refine_tform[axis, axis] + refined_rpc[den_key] = np.array(refined_rpc[den_key]) * refine_tform[axis, axis] + refined_rpc[num_key] += refined_rpc[den_key] * refine_tform[axis, 2] + refined_rpc[num_key] = refined_rpc[num_key].tolist() + refined_rpc[den_key] = refined_rpc[den_key].tolist() + return refined_rpc From 4d0c4b6ebcf8561143f687b402b9f0a8055d47cb Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 12 Jun 2024 12:58:12 +0200 Subject: [PATCH 05/93] add functions for reading GCPs --- orthority/param_io.py | 145 +++++++++++++++++++++++++++++++++++++++++- 1 file changed, 143 insertions(+), 2 deletions(-) diff --git a/orthority/param_io.py b/orthority/param_io.py index 8efcb96..7e70ab4 100644 --- a/orthority/param_io.py +++ b/orthority/param_io.py @@ -312,7 +312,7 @@ def read_im_rpc_param( <../file_formats/image_rpc>`. :param files: - File(s) to read as a tuple of paths or URI strings, :class:`~fsspec.core.OpenFile` + File(s) to read as a list of paths or URI strings, :class:`~fsspec.core.OpenFile` objects in binary mode (``'rb'``), or dataset readers. :param progress: Whether to display a progress bar monitoring the portion of files read. Can be set to a @@ -407,6 +407,117 @@ def read_oty_rpc_param(file: str | PathLike | OpenFile | IO[str]) -> dict[str, d return rpc_param_dict +def read_im_gcps( + files: Sequence[str | PathLike | OpenFile | rio.DatasetReader], + progress: bool | dict = False, +) -> dict[str, list[dict]]: + """ + Read GCPs from :doc:`tags in image file(s) <../file_formats/image_gcp>`. + + :param files: + File(s) to read as a list of paths or URI strings, :class:`~fsspec.core.OpenFile` + objects in binary mode (``'rb'``), or dataset readers. + :param progress: + Whether to display a progress bar monitoring the portion of files read. Can be set to a + dictionary of arguments for a custom `tqdm `_ bar. + """ + + def _read_im_gcps( + file: str | PathLike | OpenFile | rio.DatasetReader, + ) -> dict[str, dict[str, Any]]: + """Read GCPs from an image file.""" + filename = utils.get_filename(file) + with utils.suppress_no_georef(), rio.Env(GDAL_NUM_THREADS='ALL_CPUS'), utils.OpenRaster( + file, 'r' + ) as im: + gcps, crs = im.gcps + + if gcps is None or len(gcps) == 0: + raise ParamError(f"No GCPs found in '{filename}'.") + + # standardise GCP world coordinates in EPSG:4979 + xyz = np.array([(gcp.x, gcp.y, gcp.z) for gcp in gcps]).T + if crs != _default_lla_crs: + xyz = np.array(transform(crs, _default_lla_crs, *xyz)) + + # convert to standard format dicts + oty_gcps = [] + for gcp, xyz in zip(gcps, xyz.T): + # offset from UL (GDAL / rasterio) to center (Orthority) pixel coordinates - see e.g. + # https://gis.stackexchange.com/questions/122670/is-there-a-standard-for-the-coordinates-of-pixels-in-georeferenced-rasters + # TODO: GDAL / rasterio apparently uses the UL pixel coordinate convention but as anyone + # can populate the GeoTIFF GCP metadata, we don't actually know what convention they + # are in + gcp = dict(ji=(gcp.col - 0.5, gcp.row - 0.5), xyz=tuple(xyz), id=gcp.id, info=gcp.info) + oty_gcps.append(gcp) + + return {filename: oty_gcps} + + # read GCPs in a thread pool, populating gcp_dict in same order as files + gcp_dict = {} + with ThreadPoolExecutor() as executor: + futures = [executor.submit(_read_im_gcps, file) for file in files] + + # create / set up progress bar + if progress is True: + progress = tqdm(futures, **_default_tqdm_kwargs) + elif progress is False: + progress = tqdm(futures, disable=True, leave=False) + else: + progress = tqdm(futures, **progress) + + for future in progress: + gcp_dict.update(**future.result()) + + return gcp_dict + + +def read_oty_gcps(file: str | PathLike | OpenFile | IO[str]) -> dict[str, list[dict]]: + """ + Read GCPs for one or more images from an :doc:`Orthority GCP file <../file_formats/oty_gcp>`. + + :param file: + File to read. Can be a path or URI string, an :class:`~fsspec.core.OpenFile` object or a + file object, opened in text mode (``'rt'``). + """ + with utils.Open(file, 'rt') as f: + json_dict = json.load(f) + + # validate file format + schema = dict( + type='FeatureCollection', + features=[ + # TODO: combine row and col into ji tuple / list? + dict( + type='Feature', + properties=dict(ji=list, filename=str, id=None, info=None), + geometry=dict(type='Point', coordinates=list), + ) + ], + ) + + filename = utils.get_filename(file) + try: + utils.validate_collection(schema, json_dict) + except (ValueError, TypeError, KeyError) as ex: + raise ParamError(f"'{filename}' is not a valid Orthority GCP file: {str(ex)}.") + + # convert file to GCP dictionary + gcp_dict = {} + for feat_dict in json_dict['features']: + prop_dict = feat_dict['properties'] + filename = prop_dict['filename'] + xyz = tuple(feat_dict['geometry']['coordinates']) + gcp = dict(ji=tuple(prop_dict['ji']), xyz=xyz, id=prop_dict['id'], info=prop_dict['info']) + + if filename not in gcp_dict: + gcp_dict[filename] = [gcp] + else: + gcp_dict[filename].append(gcp) + + return gcp_dict + + def write_int_param( file: str | PathLike | OpenFile | IO[str], int_param_dict: dict[str, dict[str, Any]], @@ -510,6 +621,36 @@ def write_rpc_param( yaml.safe_dump(yaml_dict, f, sort_keys=False, indent=4, default_flow_style=None) +def write_gcps( + file: str | PathLike | OpenFile | IO[str], + gcp_dict: dict[str, list[dict]], + overwrite: bool = False, +) -> None: + """ + Write GCPs to an :doc:`Orthority GCP file <../file_formats/oty_gcp>`. + + :param file: + File to write. Can be a path or URI string, an :class:`~fsspec.core.OpenFile` object or + a file object, opened in text mode (``'wt'``). + :param gcp_dict: + GCPs to write. + :param overwrite: + Whether to overwrite the file if it exists. + """ + feat_list = [] + for filename, gcps in gcp_dict.items(): + for gcp in gcps: + props_dict = dict(ji=list(gcp['ji']), filename=filename, id=gcp['id'], info=gcp['info']) + geom_dict = dict(type='Point', coordinates=list(gcp['xyz'])) + feat_dict = dict(type='Feature', properties=props_dict, geometry=geom_dict) + feat_list.append(feat_dict) + + json_dict = dict(type='FeatureCollection', features=feat_list) + + with utils.Open(file, 'wt', overwrite=overwrite) as f: + json.dump(json_dict, f, indent=4) + + def _rpy_to_rotation(rpy: tuple[float, float, float]) -> np.ndarray: """Convert the given (roll, pitch, yaw) angles in radians to a rotation matrix.""" # see https://s3.amazonaws.com/mics.pix4d.com/KB/documents/Pix4D_Yaw_Pitch_Roll_Omega_to_Phi_Kappa_angles_and_conversion.pdf @@ -1050,7 +1191,7 @@ class ExifReader(FrameReader): See the :doc:`format documentation <../file_formats/exif_xmp>` for required tags. :param files: - File(s) to read as a tuple of paths or URI strings, :class:`~fsspec.core.OpenFile` + File(s) to read as a list of paths or URI strings, :class:`~fsspec.core.OpenFile` objects in binary mode (``'rb'``), or dataset readers. :param crs: CRS of the world coordinate system as an EPSG, WKT or proj4 string; or From c04bf125a850b24770bcf316bbd45de8fbe8fc34 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 12 Jun 2024 13:28:34 +0200 Subject: [PATCH 06/93] changes and additions for GCP refinement of RPC models --- orthority/factory.py | 82 ++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 79 insertions(+), 3 deletions(-) diff --git a/orthority/factory.py b/orthority/factory.py index 9287450..f12c53b 100644 --- a/orthority/factory.py +++ b/orthority/factory.py @@ -16,6 +16,7 @@ """Factories for creating camera models from parameter files and dictionaries.""" from __future__ import annotations +import warnings from abc import ABC, abstractmethod from os import PathLike from pathlib import Path @@ -25,7 +26,8 @@ from orthority import param_io from orthority.camera import Camera, create_camera, FrameCamera, RpcCamera -from orthority.errors import CrsMissingError, ParamError +from orthority.errors import CrsMissingError, OrthorityWarning, ParamError +from orthority.fit import refine_rpc from orthority.utils import get_filename, join_ofile, OpenFile @@ -118,7 +120,7 @@ def from_images( <../file_formats/exif_xmp>`. :param files: - Image file(s) to read as a tuple of paths or URI strings, :class:`~fsspec.core.OpenFile` + Image file(s) to read as a list of paths or URI strings, :class:`~fsspec.core.OpenFile` objects in binary mode (``'rb'``), or dataset readers. :param io_kwargs: Optional dictionary of keyword arguments for the @@ -268,8 +270,10 @@ def __init__( self._rpc_param_dict = param_io.read_oty_rpc_param(rpc_param) else: self._rpc_param_dict = rpc_param + self._cam_kwargs = cam_kwargs or {} self._cameras = {} + self._gcp_dict = None @classmethod def from_images( @@ -283,7 +287,7 @@ def from_images( <../file_formats/image_rpc>`. :param files: - Image file(s) to read as a tuple of paths or URI strings, :class:`~fsspec.core.OpenFile` + Image file(s) to read as a list of paths or URI strings, :class:`~fsspec.core.OpenFile` objects in binary mode (``'rb'``), or dataset readers. :param io_kwargs: Optional dictionary of additional arguments for @@ -301,6 +305,63 @@ def from_images( def filenames(self) -> set[str]: return set(self._rpc_param_dict.keys()) + def refine( + self, + gcps: ( + str + | PathLike + | OpenFile + | IO[str] + | Sequence[str | PathLike | OpenFile | rio.DatasetReader] + | dict[str, list[dict]] + ), + io_kwargs: dict = None, + ref_kwargs: dict = None, + ): + """ + Refine RPC models with GCPs. + + :param gcps: + GCPs as one of: + + - :doc:`Orthority GCP file <../file_formats/oty_gcp>` as a path or URI string, + an :class:`~fsspec.core.OpenFile` object or a file object, opened in text mode + (``'rt'``). + - :doc:`Image file(s) with GCP tags <../file_formats/im_gcp>` as a list of paths or + URI strings, :class:`~fsspec.core.OpenFile` objects in binary mode (``'rb'``), + or dataset readers. + - GCP dictionary. + :param io_kwargs: + Optional dictionary of keyword arguments for + :class:`~orthority.param_io.read_im_gcps` if ``gcps`` is a list of image file(s). + Should exclude ``files`` which is passed internally. + :param ref_kwargs: + Optional dictionary of keyword arguments for :meth:`~orthority.fit.refine_rpc`. + Should exclude ``rpc`` and ``gcps``, which are passed internally. + """ + self._cameras = {} + + if gcps and not isinstance(gcps, dict): + # read GCPs + if isinstance(gcps, Sequence): + self._gcp_dict = param_io.read_im_gcps(gcps, **(io_kwargs or {})) + else: + self._gcp_dict = param_io.read_oty_gcps(gcps) + else: + self._gcp_dict = gcps + + if self._gcp_dict: + # refine RPC parameters with GCPs + for filename, rpc_param in self._rpc_param_dict.items(): + if filename in self._gcp_dict: + rpc_param['rpc'] = refine_rpc( + rpc_param['rpc'], self._gcp_dict[filename], **(ref_kwargs or {}) + ) + else: + warnings.warn( + f"Could not find any GCPs for '{filename}'.", category=OrthorityWarning + ) + def get(self, filename: str | PathLike | OpenFile | rio.DatasetReader) -> RpcCamera: # get rpc params for filename filename = Path(get_filename(filename)) @@ -316,5 +377,20 @@ def get(self, filename: str | PathLike | OpenFile | rio.DatasetReader) -> RpcCam return self._cameras[filename.name] def write_param(self, out_dir: str | PathLike | OpenFile, overwrite: bool = False): + """ + Write camera parameters to Orthority format file(s). + + If RPC models have been refined with GCPs, the refined models are written, as well as the + GCPs, in a separate file. + + :param out_dir: + Directory to write into. Can be a path, URI string, or an + :class:`~fsspec.core.OpenFile` object. + :param overwrite: + Whether to overwrite file(s) if they exist. + """ rpc_file = join_ofile(out_dir, 'rpc_param.yaml', mode='wt') param_io.write_rpc_param(rpc_file, self._rpc_param_dict, overwrite=overwrite) + if self._gcp_dict: + gcp_file = join_ofile(out_dir, 'gcps.geojson', mode='wt') + param_io.write_gcps(gcp_file, self._gcp_dict, overwrite=overwrite) From 6192c1862d092dd9410f6eb04e5bbda7a7d57931 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 12 Jun 2024 13:29:12 +0200 Subject: [PATCH 07/93] add RPC refinement method --- orthority/enums.py | 15 +++++++++++++++ 1 file changed, 15 insertions(+) diff --git a/orthority/enums.py b/orthority/enums.py index 941e1d6..cecea12 100644 --- a/orthority/enums.py +++ b/orthority/enums.py @@ -142,3 +142,18 @@ def is_xyz(self) -> bool: def is_opk(self) -> bool: """Whether the format has (omega, phi, kappa) orientation.""" return self is CsvFormat.xyz_opk or self is CsvFormat.lla_opk + + +class RpcRefine(str, Enum): + """RPC refinement method.""" + + shift = 'shift' + """Pixel coordinate translation.""" + shift_drift = 'shift-drift' + """Pixel coordinate scale and translation.""" + + def __repr__(self): + return self._name_ + + def __str__(self): + return self._name_ From e5208f43b930a593ec8f68298debd20242a5b1b2 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 12 Jun 2024 13:29:52 +0200 Subject: [PATCH 08/93] note on RPC dict workaround --- orthority/camera.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/orthority/camera.py b/orthority/camera.py index 886d6aa..672a6ac 100644 --- a/orthority/camera.py +++ b/orthority/camera.py @@ -428,6 +428,8 @@ def __init__( super().__init__() self._im_size = im_size self._rpc_crs = CRS.from_epsg(4979) + # convert dict rpc to RPC object to avoid issue where RPCTransformer.__init__() raises no + # error with rpc as a dict, but generates invalid results self._rpc = rpc if isinstance(rpc, RPC) else RPC(**rpc) self._rpc_options = rpc_options or {} self._crs = self._validate_crs(crs) if crs else None From 854cf43085a606b83f066d200b4f9c031e4583f7 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 12 Jun 2024 13:36:00 +0200 Subject: [PATCH 09/93] add --grp-refine and --refine-method to oty rpc --- orthority/cli.py | 88 +++++++++++++++++++++++++++++++++++++----------- 1 file changed, 68 insertions(+), 20 deletions(-) diff --git a/orthority/cli.py b/orthority/cli.py index 9aaf10f..a017bbe 100644 --- a/orthority/cli.py +++ b/orthority/cli.py @@ -21,7 +21,6 @@ import shutil import warnings from pathlib import Path -from typing import Sequence from urllib.parse import urlparse import click @@ -35,9 +34,10 @@ from orthority import root_path, utils from orthority.camera import create_camera, FrameCamera -from orthority.enums import CameraType, Compress, Interp +from orthority.enums import CameraType, Compress, Interp, RpcRefine from orthority.errors import CrsError, CrsMissingError, ParamError from orthority.factory import Cameras, FrameCameras, RpcCameras +from orthority.fit import _default_rpc_refine_method from orthority.ortho import Ortho from orthority.version import __version__ @@ -164,15 +164,15 @@ def _crs_cb(ctx: click.Context, param: click.Parameter, crs: str): def _src_files_cb( - ctx: click.Context, param: click.Parameter, src_files: Sequence[str] -) -> Sequence[OpenFile]: + ctx: click.Context, param: click.Parameter, src_files: list[str] +) -> list[OpenFile]: """Click callback to form a list of source image OpenFile instances. ``src_files`` can be a list of file paths / URIs, or a list of path / URI glob patterns. """ if not src_files or len(src_files) == 0: return () try: - src_files = fsspec.open_files(list(src_files), 'rb') + src_files = fsspec.open_files(src_files, 'rb') except Exception as ex: raise click.BadParameter(str(ex), param=param) if len(src_files) == 0: @@ -256,6 +256,13 @@ def _odm_out_dir_cb(ctx: click.Context, param: click.Parameter, out_dir: str) -> return ofile +def _gcp_refine_cb( + ctx: click.Context, param: click.Parameter, path_uri: str | bool +) -> OpenFile | bool: + """Click callback to parse the ``--gcp-refine`` option.""" + return _text_file_cb(ctx, param, path_uri) if path_uri != 'tags' else path_uri + + def _get_bar_format(units: str = 'files', desc_width: int = 0, units_width: int = None) -> str: """Return a ``tqdm`` ``bar_format`` for the given arguments.""" # pad or truncate desc to desc_width @@ -271,7 +278,7 @@ def _get_bar_format(units: str = 'files', desc_width: int = 0, units_width: int def _ortho( - src_files: Sequence[OpenFile], + src_files: list[OpenFile], dem_file: OpenFile, cameras: Cameras, crs: rio.CRS, @@ -628,12 +635,12 @@ def frame( oty frame --dem dem.tif --int-param int_param.yaml --ext-param ext_param.csv --crs EPSG:32651 source*.tif - Camera parameters can be converted into Orthority format files with :option:`--export-params + Camera parameters can be exported to Orthority format files with :option:`--export-params `:: oty frame --int-param reconstruction.json --ext-param reconstruction.json --export-params - Ortho images and parameter files are placed in the current working directory by default. This + Ortho images and exported files are placed in the current working directory by default. This can be changed with :option:`--out-dir `. """ # create camera factory @@ -682,7 +689,7 @@ def frame( @out_dir_option @overwrite_option def exif( - src_files: Sequence[OpenFile], + src_files: list[OpenFile], crs: rio.CRS, full_remap: bool, alpha: float, @@ -706,13 +713,13 @@ def exif( oty exif --dem dem.tif source*.tif - Camera parameters can be converted into Orthority format files with :option:`--export-params + Camera parameters can be exported to Orthority format files with :option:`--export-params `:: oty exif ---export-params source*.tif - Ortho images and parameter files are placed in the current working directory by default. - This can be changed with :option:`--out-dir `. + Ortho images and exported files are placed in the current working directory by default. This + can be changed with :option:`--out-dir `. """ # set up progress bar args desc = 'Reading parameters' @@ -792,12 +799,12 @@ def odm( oty odm --dataset-dir dataset - Camera parameters can be converted into Orthority format files with :option:`--export-params + Camera parameters can be exported to Orthority format files with :option:`--export-params `:: oty odm --dataset-dir dataset --export-params - Ortho images and parameter files are placed in the :file:`{dataset}/orthority` subdirectory + Ortho images and exported files are placed in the :file:`{dataset}/orthority` subdirectory by default. This can be changed with :option:`--out-dir `. """ # find source images @@ -842,7 +849,7 @@ def odm( # orthorectify _ortho( - src_files=tuple(src_files), + src_files=src_files, dem_file=dem_ofile, cameras=cameras, crs=crs, @@ -870,6 +877,24 @@ def odm( callback=_text_file_cb, help='Path / URI of an Orthority RPC parameter file.', ) +@click.option( + '-gr', + '--gcp-refine', + is_flag=False, + flag_value='tags', + default=None, + callback=_gcp_refine_cb, + help='Refine camera model(s) with GCP(s). Can be supplied without a value to read GCPs from ' + 'source image tags, or with the path / URI value of an Orthority format GCP file.', +) +@click.option( + '-rm', + '--refine-method', + type=click.Choice(RpcRefine, case_sensitive=False), + default=_default_rpc_refine_method, + show_default=True, + help='Refinement method to use with ``--gcp-refine``.', +) @crs_option @resolution_option @dem_band_option @@ -884,8 +909,10 @@ def odm( @out_dir_option @overwrite_option def rpc( - src_files: Sequence[OpenFile], + src_files: list[OpenFile], rpc_param_file: OpenFile, + gcp_refine: OpenFile | bool, + refine_method: RpcRefine, crs: rio.CRS, **kwargs, ) -> None: @@ -903,13 +930,21 @@ def rpc( oty rpc --dem dem.tif source*.tif - Camera parameters can be converted to an Orthority format file with :option:`--export-params + Camera parameters can be refined with GCPs using :option:`--gcp-refine `:: + + oty rpc --dem dem.tif --gcp-refine source*.tif + + Camera parameters can be exported to an Orthority format file with :option:`--export-params `:: - oty rpc ---export-params source*.tif + oty rpc ---export-params --gcp-refine source*.tif + + If :option:`--gcp-refine ` is supplied with :option:`--export-params + `, it is the refined parameters are exported, as well as the GCPs. - Ortho images and parameter files are placed in the current working directory by default. - This can be changed with :option:`--out-dir `. + Ortho images and exported files are placed in the current working directory by default. This + can be changed with :option:`--out-dir `. """ # set CRS to the RPC camera default (WGS84) if no CRS supplied, otherwise pass user CRS in # cam_kwargs @@ -939,6 +974,19 @@ def rpc( except (FileNotFoundError, ParamError) as ex: raise click.BadParameter(str(ex), param_hint="'SOURCE...'") + if gcp_refine is not None: + # refine model(s) with GCPs + ref_kwargs = dict(method=refine_method) + if gcp_refine == 'tags': + # set up progress bar args + desc = 'Reading GCPs' + bar_format = _get_bar_format(units='files', desc_width=len(desc)) + tqdm_kwargs = dict(desc=desc, bar_format=bar_format, leave=False) + + cameras.refine(src_files, io_kwargs=dict(progress=tqdm_kwargs), ref_kwargs=ref_kwargs) + else: + cameras.refine(gcp_refine, ref_kwargs=ref_kwargs) + # orthorectify _ortho( src_files=src_files, From 41990640a96d24b4827468b1705fb8142e81c783 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Mon, 17 Jun 2024 10:51:18 +0200 Subject: [PATCH 10/93] remove redundant check on num gcps --- orthority/fit.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/orthority/fit.py b/orthority/fit.py index aa93397..25edc4b 100644 --- a/orthority/fit.py +++ b/orthority/fit.py @@ -82,8 +82,6 @@ def _norm_ji(rpc: dict, ji: np.ndarray) -> np.ndarray: off = ji_gcp - ji_rpc refine_tform[:, -1] = off.mean(axis=1) else: - if len(gcps) < 2: - raise ValueError("At least 2 GCPs are required for the 'shift and drift' method.") for axis in range(2): ji_rpc_ = np.row_stack((ji_rpc[axis], np.ones((ji_rpc.shape[1])))) (m, c), res, rank, s = np.linalg.lstsq(ji_rpc_.T, ji_gcp[axis], rcond=None) From 99705cdb3ff15640755eeb7a817bfd71e5ecfe69 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Mon, 24 Jun 2024 10:13:59 +0200 Subject: [PATCH 11/93] differentiate between fsspec and orthority OpenFile --- orthority/factory.py | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/orthority/factory.py b/orthority/factory.py index f12c53b..a798c76 100644 --- a/orthority/factory.py +++ b/orthority/factory.py @@ -23,12 +23,12 @@ from typing import IO, Sequence import rasterio as rio +from fsspec.core import OpenFile -from orthority import param_io +from orthority import param_io, utils from orthority.camera import Camera, create_camera, FrameCamera, RpcCamera from orthority.errors import CrsMissingError, OrthorityWarning, ParamError from orthority.fit import refine_rpc -from orthority.utils import get_filename, join_ofile, OpenFile class Cameras(ABC): @@ -157,7 +157,7 @@ def _read_param( crs = None if not isinstance(int_param, dict): # read interior params - int_param_suffix = Path(get_filename(int_param)).suffix.lower() + int_param_suffix = Path(utils.get_filename(int_param)).suffix.lower() int_param_dict = None if int_param_suffix in ['.yaml', '.yml']: int_param_dict = param_io.read_oty_int_param(int_param) @@ -177,7 +177,7 @@ def _read_param( if not isinstance(ext_param, dict): # read exterior params and CRS - ext_param_suffix = Path(get_filename(ext_param)).suffix.lower() + ext_param_suffix = Path(utils.get_filename(ext_param)).suffix.lower() if ext_param_suffix in ['.csv', '.txt']: reader = param_io.CsvReader(ext_param, **kwargs) elif ext_param_suffix == '.json': @@ -204,7 +204,7 @@ def _read_param( def get(self, filename: str | PathLike | OpenFile | rio.DatasetReader) -> FrameCamera: # get exterior params for filename - filename = Path(get_filename(filename)) + filename = Path(utils.get_filename(filename)) ext_param = self._ext_param_dict.get( filename.name, self._ext_param_dict.get(filename.stem, None) ) @@ -235,14 +235,14 @@ def get(self, filename: str | PathLike | OpenFile | rio.DatasetReader) -> FrameC def write_param(self, out_dir: str | PathLike | OpenFile, overwrite: bool = False): # write interior params - int_param_file = join_ofile(out_dir, 'int_param.yaml', mode='wt') + int_param_file = utils.join_ofile(out_dir, 'int_param.yaml', mode='wt') param_io.write_int_param(int_param_file, self._int_param_dict, overwrite=overwrite) if not self.crs: raise CrsMissingError("A world 'crs' is required to write exterior parameters.") # write exterior params - ext_param_file = join_ofile(out_dir, 'ext_param.geojson', mode='wt') + ext_param_file = utils.join_ofile(out_dir, 'ext_param.geojson', mode='wt') param_io.write_ext_param( ext_param_file, self._ext_param_dict, overwrite=overwrite, crs=self.crs ) @@ -364,7 +364,7 @@ def refine( def get(self, filename: str | PathLike | OpenFile | rio.DatasetReader) -> RpcCamera: # get rpc params for filename - filename = Path(get_filename(filename)) + filename = Path(utils.get_filename(filename)) rpc_param = self._rpc_param_dict.get( filename.name, self._rpc_param_dict.get(filename.stem, None) ) @@ -389,8 +389,8 @@ def write_param(self, out_dir: str | PathLike | OpenFile, overwrite: bool = Fals :param overwrite: Whether to overwrite file(s) if they exist. """ - rpc_file = join_ofile(out_dir, 'rpc_param.yaml', mode='wt') + rpc_file = utils.join_ofile(out_dir, 'rpc_param.yaml', mode='wt') param_io.write_rpc_param(rpc_file, self._rpc_param_dict, overwrite=overwrite) if self._gcp_dict: - gcp_file = join_ofile(out_dir, 'gcps.geojson', mode='wt') + gcp_file = utils.join_ofile(out_dir, 'gcps.geojson', mode='wt') param_io.write_gcps(gcp_file, self._gcp_dict, overwrite=overwrite) From 89bc838f7f090151c8dbc58fa2e857ae47cae6a4 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Sun, 21 Jul 2024 22:23:39 +0200 Subject: [PATCH 12/93] add pan sharpening module --- orthority/pan_sharp.py | 568 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 568 insertions(+) create mode 100644 orthority/pan_sharp.py diff --git a/orthority/pan_sharp.py b/orthority/pan_sharp.py new file mode 100644 index 0000000..db83aeb --- /dev/null +++ b/orthority/pan_sharp.py @@ -0,0 +1,568 @@ +# Copyright The Orthority Contributors. +# +# This file is part of Orthority. +# +# Orthority is free software: you can redistribute it and/or modify it under the terms of the GNU +# Affero General Public License as published by the Free Software Foundation, either version 3 of +# the License, or (at your option) any later version. +# +# Orthority is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without +# even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Affero General Public License for more details. +# +# You should have received a copy of the GNU Affero General Public License along with Orthority. +# If not, see . +"""Pan sharpening.""" +from __future__ import annotations + +import logging +import os +import warnings +from concurrent.futures import ThreadPoolExecutor +from contextlib import ExitStack +from itertools import product +from os import cpu_count, PathLike +from threading import Lock +from typing import Generator, Sequence + +import numpy as np +import rasterio as rio +from fsspec.core import OpenFile +from rasterio.enums import Resampling +from rasterio.vrt import WarpedVRT +from rasterio.warp import transform_bounds +from rasterio.windows import intersect, Window +from tqdm.std import tqdm + +from orthority import utils +from orthority.enums import Compress, Interp +from orthority.errors import OrthorityWarning +from orthority.ortho import Ortho + +logger = logging.getLogger(__name__) + + +class PanSharpen: + _working_dtype = 'float32' + _working_nodata = float('nan') + + def __init__( + self, + pan_file: str | PathLike | OpenFile | rio.DatasetReader, + ms_file: str | PathLike | OpenFile | rio.DatasetReader, + ): + self._pan_file = pan_file + self._ms_file = ms_file + self._pan_profile, self._ms_profile = self._get_vrt_profiles(pan_file, ms_file) + self._pan_lock = Lock() + self._ms_lock = Lock() + self._out_lock = Lock() + + @staticmethod + def _block_windows( + im_shape: tuple[int, int], block_shape: tuple[int, int] = (1024, 1024) + ) -> Generator[Window]: + """Block window generator for the given image and optional block shapes.""" + xrange = range(0, im_shape[1], block_shape[1]) + yrange = range(0, im_shape[0], block_shape[0]) + for xstart, ystart in product(xrange, yrange): + xstop = min(xstart + block_shape[1], im_shape[1]) + ystop = min(ystart + block_shape[0], im_shape[0]) + yield Window(xstart, ystart, xstop - xstart, ystop - ystart) + + def _get_vrt_profiles(self, pan_file, ms_file) -> tuple[dict, dict]: + """Return pan and MS WarpedVRT profiles for cropping and warping both to a shared pixel + grid and bounds. Pan is left on its source grid, and cropped if necessary. MS is warped + and cropped (as necessary) to lie on the pan grid. + """ + # TODO: what if the images have GCPs but not transforms? + with utils.OpenRaster(pan_file) as pan_ds, utils.OpenRaster(ms_file) as ms_ds: + if np.any(np.array(pan_ds.res) > ms_ds.res): + raise ValueError( + f'Pan resolution: {pan_ds.res} exceeds multispectral resolution: {ms_ds.res}.' + ) + + # MS bounds, bounding window and resolution in pan coordinates + ms_bounds_ = np.array(transform_bounds(ms_ds.crs, pan_ds.crs, *ms_ds.bounds)) + ms_win_ = pan_ds.window(*ms_bounds_) + if not intersect((pan_ds.window(*pan_ds.bounds), ms_win_)): + raise ValueError('Pan and multispectral extents do not overlap.') + ms_win_off_ = np.array((ms_win_.col_off, ms_win_.row_off)) + ms_res_ = (ms_bounds_[2:] - ms_bounds_[:2]) / (ms_ds.width, ms_ds.height) + + # ratio between ms and pan resolution in pan coordinates + res_fact = ms_res_ / pan_ds.res + + if ( + (pan_ds.crs == ms_ds.crs) + and np.all(ms_win_off_ == ms_win_off_.round()) + and np.all(res_fact == res_fact.round()) + ): + # The pan and MS pixel grids coincide. Find common pan and MS bounds that lie on + # the MS pixel grid. + pan_win_ = ms_ds.window(*pan_ds.bounds) + common_win = pan_win_.intersection(ms_ds.window(*ms_ds.bounds)) + assert common_win.round_offsets() == common_win + common_win = Window(*np.array(common_win.flatten(), dtype='int')) + common_bounds = ms_ds.window_bounds(common_win) + else: + # The pan and MS pixel grids do not coincide. Find common pan and MS bounds, + # that lie on the pan and reprojected MS pixel grids. + logger.debug( + 'Multispectral image will be reprojected to coincide with the pan pixel grid.' + ) + res_fact = res_fact.round() + common_win = pan_ds.window(*pan_ds.bounds).intersection(ms_win_) + common_win = np.array(common_win.flatten()) + common_win = np.array( + (*np.ceil(common_win[:2]), *np.floor(common_win[-2:] / res_fact) * res_fact), + dtype='int', + ) + common_win = Window(*common_win) + common_bounds = pan_ds.window_bounds(common_win) + + pan_win = pan_ds.window(*common_bounds) + pan_win = Window(*np.array(pan_win.flatten(), dtype='int')) + pan_transform = pan_ds.window_transform(pan_win) + ms_size = (np.array((pan_win.width, pan_win.height)) / res_fact).astype('int') + ms_transform = pan_transform * rio.Affine.scale(*res_fact) + + # create the pan & MS WarpedVRT profiles + pan_profile = dict( + crs=pan_ds.crs, transform=pan_transform, width=pan_win.width, height=pan_win.height + ) + ms_profile = dict( + crs=pan_ds.crs, transform=ms_transform, width=ms_size[0], height=ms_size[1] + ) + return pan_profile, ms_profile + + def _create_out_profile( + self, + pan_im: rio.DatasetReader, + ms_im: rio.DatasetReader, + dtype: str, + compress: str | Compress | None, + write_mask: bool | None, + ) -> tuple[dict, bool]: + """Return a rasterio profile for the pan sharpened image.""" + # TODO: make common fn for use here and in Ortho + # Determine dtype, check dtype support + # (OpenCV remap doesn't support int8 or uint32, and only supports int32, uint64, int64 with + # nearest interp so these dtypes are excluded). + out_profile = dict(**self._pan_profile) + dtype = dtype or np.promote_types(pan_im.dtypes[0], ms_im.dtypes[0]) + + # setup compression, data interleaving and photometric interpretation + if compress is None: + compress = Compress.jpeg if dtype == 'uint8' else Compress.deflate + else: + compress = Compress(compress) + if compress == Compress.jpeg: + if dtype == 'uint16': + warnings.warn( + 'Attempting a 12 bit JPEG output configuration. Support is rasterio build ' + 'dependent.', + category=OrthorityWarning, + ) + out_profile.update(nbits=12) + elif dtype != 'uint8': + raise ValueError( + f"JPEG compression is supported for 'uint8' and 'uint16' data types only." + ) + + if compress == Compress.jpeg: + interleave, photometric = ( + ('pixel', 'ycbcr') if ms_im.count == 3 else ('band', 'minisblack') + ) + else: + interleave, photometric = ('band', 'minisblack') + + # resolve auto write_mask (=None) to write masks for jpeg compression + if write_mask is None: + write_mask = True if compress == Compress.jpeg else False + + # set nodata to None when writing internal masks to force external tools to use mask, + # otherwise set by dtype + if write_mask: + nodata = None + else: + nodata = float('nan') if np.issubdtype(dtype, np.floating) else np.iinfo(dtype).min + + # create ortho profile + out_profile.update( + driver='GTiff', + dtype=dtype, + count=ms_im.count, # TODO: should be len of indexes + tiled=True, + blockxsize=Ortho._default_blocksize[0], + blockysize=Ortho._default_blocksize[1], + nodata=nodata, + compress=compress.value, + interleave=interleave, + photometric=photometric, + bigtiff='if_safer', + ) + + return out_profile, write_mask + + def _get_stats( + self, + pan_im: rio.DatasetReader, + ms_im: rio.DatasetReader, + indexes: Sequence[int] | np.ndarray, + interp: Resampling, + progress: dict, + ) -> tuple[np.ndarray, np.ndarray]: + """Return pan / MS means and covariances for the given datasets. Uses the "Numerically + Stable Parallel Computation of (Co-)Variance" method described in + https://doi.org/10.1145/3221269.3223036 to aggregate stats over image tiles. + """ + # working dtype of float64 for aggregating over large images / tiles or large image dtypes + working_dtype = 'float64' + + def get_tile_stats( + pan_im: rio.DatasetReader, + ms_im: rio.DatasetReader, + indexes: Sequence[int], + tile_win: Window, + ) -> tuple[int, np.ndarray, np.ndarray]: + """Return pan / MS pixel count, mean & sum of deviation products for the given + ``tile_win``. Fully masked tiles produce zeros for count, means & products. + """ + # read pan and MS tiles & tile masks (without masked arrays which don't release GIL) + with self._pan_lock: + pan_array = pan_im.read(window=tile_win) + pan_mask = pan_im.read_masks(window=tile_win).astype('bool', copy=False) + with self._ms_lock: + ms_array = ms_im.read(indexes=indexes, window=tile_win) + ms_mask = ms_im.read_masks(indexes=indexes, window=tile_win).astype( + 'bool', copy=False + ) + + # mask and combine pan & MS + mask = pan_mask[0] & ms_mask.all(axis=0) + pan_ms_array = np.concat( + (pan_array[0][mask].reshape(1, -1), ms_array[:, mask].reshape(len(indexes), -1)), + axis=0, + ) + + # find tile mean & sum of deviation products as in eq 12-13 in the paper + tile_n = mask.sum() + tile_mean = pan_ms_array.mean(axis=1) if tile_n > 0 else np.zeros(pan_ms_array.shape[0]) + pan_ms_array -= tile_mean.reshape(-1, 1) + tile_prod = pan_ms_array.dot(pan_ms_array.T) + return tile_n, tile_mean, tile_prod + + # accumulate pan / MS values over tiles + with ExitStack() as ex_stack: + # open MS & downsampled pan WarpedVRTs that lie on a MS resolution grid, and have + # common bounds + pan_im = ex_stack.enter_context( + WarpedVRT( + pan_im, **self._ms_profile, resampling=Resampling.average, dtype=working_dtype + ) + ) + # reproject MS to pan_im grid if necessary + ms_im = ex_stack.enter_context( + WarpedVRT(ms_im, **self._ms_profile, resampling=interp, dtype=working_dtype) + ) + + # reference full band mean & cov for testing + # pan_array = pan_im.read(masked=True) + # ms_array = ms_im.read(indexes=indexes, masked=True) + # mask = pan_array.mask[0] | ms_array.mask.any(axis=0) + # pan_array.mask = ms_array.mask = mask + # pan_ms_array = np.ma.concatenate( + # (pan_array[0].reshape(1, -1), ms_array.reshape(len(indexes), -1)), axis=0 + # ) + # ref_cov = np.ma.cov(pan_ms_array) + # ref_means = pan_ms_array.mean(axis=1) + # del pan_array, ms_array, pan_ms_array + + # find tile stats in a thread pool and aggregate + n = 0 + means = np.zeros(len(indexes) + 1, dtype=working_dtype) + prod = np.zeros((len(indexes) + 1,) * 2, dtype=working_dtype) + with ThreadPoolExecutor(max_workers=os.cpu_count()) as ex: + # TODO: are custom size block windows helpful here & does WarpedVRT dtype affect + # threading? + futures = [ + ex.submit(get_tile_stats, pan_im, ms_im, indexes, tile_win) + for _, tile_win in ms_im.block_windows(indexes[0]) + ] + + for future in tqdm(futures, **progress): + tile_n, tile_mean, tile_prod = future.result() + + if tile_n > 0: + # eq 21 from the paper + mean_diffs = tile_mean - means + mean_diffs_ = mean_diffs.reshape(-1, 1).dot(mean_diffs.reshape(1, -1)) + prod += tile_prod + mean_diffs_ * (n * tile_n) / (n + tile_n) + # eq 17 from the paper + n += tile_n + means += mean_diffs * tile_n / n + + # convert prod to unbiased covariance (as with numpy.cov default) + cov = prod / (n - 1) + return means, cov + + def _get_params(self, means: np.ndarray, cov: np.ndarray, weights: np.ndarray | None) -> dict: + """Return the Gram-Schmidt pan-sharpening parameters for the given pan / MS means & + covariances, and optional MS to pan weights. If MS to pan weights are not provided, + they are estimated from the data. Uses the "How to Pan-sharpen Images Using the + Gram-Schmidt Pan-sharpen Method – A Recipe" method described in + https://doi.org/10.5194/isprsarchives-XL-1-W1-239-2013. + """ + + def get_weights(cov: np.ndarray, weights: np.ndarray = None) -> np.ndarray: + """Return normalised MS to pan weights. If ``weights`` is not provided, weights are + estimated from the given pan / MS covariance matrix. + """ + if weights is None: + # find the LS solution for the weights as described in section 2.2 & eq 6 + weights = np.linalg.lstsq(cov[1:, 1:], cov[0, 1:].reshape(-1, 1), rcond=None)[0] + else: + weights = np.array(weights) + + if np.any(weights < 0): + # TODO: instead of zeroing and normalising, redo the least squares with -ve bands + # excluded & set -ve weights to zero. + warnings.warn( + f'Weights contain negative value(s), setting to zero and normalising: ' + f'{tuple(weights.round(4).tolist())}.', + category=OrthorityWarning, + ) + + # set any -ve weights to 0, normalise & return + weights = weights.flatten().clip(0, None) + return weights / weights.sum() + + def get_gs_coeffs(cov: np.ndarray, weights: np.ndarray) -> list[np.ndarray]: + """Return the Gram-Schmidt coefficients for the given MS covariance and MS to pan + weights. + """ + a = np.zeros((cov.shape[0], cov.shape[0])) + coeffs = [np.zeros(k + 1) for k in range(cov.shape[0])] + e = np.eye(cov.shape[0]) + for k in range(cov.shape[0]): + # eq 4 from paper + if k == 0: + a[k] = weights + else: + a[k] = e[k - 1] - np.dot(coeffs[k - 1], a[:k]) + + # eq 3 from paper + for l in range(k + 1): + num = a[l].dot(cov[k]) + den = (a[l].reshape(-1, 1).dot(a[l].reshape(1, -1)) * cov).sum() + coeffs[k][l] = num / den + + return coeffs + + def get_pan_norm( + means: np.ndarray, cov: np.ndarray, weights: np.ndarray + ) -> tuple[float, float]: + """Return the gain and bias to convert the actual pan to the mean and standard + deviation of the simulated pan, given the pan / MS means & covariance, and MS to pan + weights. Note this uses downsampled actual pan stats while the paper + uses full resolution actual pan stats. As the simulated pan stats are at MS + (downsampled) resolution, it seems the correct to use both at same resolution. + """ + pan_mean, pan_std = means[0], np.sqrt(cov[0, 0]) + + # find simulated pan mean and std deviation from weights & MS covariances (no + # corresponding equation in paper, derived from properties of covariance: + # https://dlsun.github.io/probability/cov-properties.html) + # TODO: validate this + pan_sim_mean = weights.dot(means[1:]) + pan_sim_std = np.sqrt( + (weights.reshape(-1, 1).dot(weights.reshape(1, -1)) * cov[1:, 1:]).sum() + ) + + # equations 2 & 3 from https://patents.google.com/patent/US6011875A/en + gain = pan_sim_std / pan_std + bias = pan_sim_mean - (gain * pan_mean) + return gain, bias + + weights = get_weights(cov, weights=weights) + coeffs = get_gs_coeffs(cov[1:, 1:], weights) + gain, bias = get_pan_norm(means, cov, weights) + return dict(means=means, coeffs=coeffs, weights=weights, gain=gain, bias=bias) + + def _process_tile_array( + self, + pan_array: np.ndarray, + ms_array: np.ndarray, + means: np.ndarray, + coeffs: list[np.ndarray], + weights: np.ndarray, + gain: float, + bias: float, + ) -> np.ndarray: + """Return the pan-sharpened tile for the given pan tile, MS tile and Gram-Schmidt + parameters. Uses the "Process for Enhancing the Spatial Resolution of Multispectral + Imagery Using Pan-sharpening" method in https://patents.google.com/patent/US6011875A/en. + """ + # TODO: document that this finds GS transform of already upsampled MS data, while the paper + # finds GS transform then upsamples + + def gs_foward( + ms_array: np.ndarray, + means: np.ndarray, + coeffs: list[np.ndarray], + weights: np.ndarray, + ) -> np.ndarray: + """Forward Gram-Schmidt transform of the given MS array with given parameters.""" + # equations 10-12 of the patent + gs_array = np.zeros((ms_array.shape[0] + 1, ms_array.shape[1]), dtype=ms_array.dtype) + gs_array[0] = weights.dot(ms_array) + for bi in range(0, ms_array.shape[0]): + phi = coeffs[bi] + gs_array[bi + 1] = ms_array[bi] - means[bi] - phi.dot(gs_array[: bi + 1]) + + return gs_array + + def gs_reverse( + gs_array: np.ndarray, + means: np.ndarray, + coeffs: list[np.ndarray], + ms_array: np.ndarray | None = None, + ) -> np.ndarray: + """Reverse Gram-Schmidt transform of the given Gram-Schmidt array (with substituted + pan band) with given parameters. Optionally writes into ``ms_array`` if provided. + """ + if ms_array is None: + ms_array = np.zeros( + (gs_array.shape[0] - 1, gs_array.shape[1]), dtype=gs_array.dtype + ) + + # equation 14 of the patent + for bi in range(0, ms_array.shape[0]): + phi = coeffs[bi] + ms_array[bi] = gs_array[bi + 1] + means[bi] + phi.dot(gs_array[: bi + 1]) + + return ms_array + + gs_array = gs_foward(ms_array, means[1:], coeffs, weights) + gs_array[0] = (gain * pan_array) + bias # substitute normalised pan + ms_array = gs_reverse(gs_array, means[1:], coeffs, ms_array=ms_array) + return ms_array + + def _process_tile( + self, + pan_im: rio.DatasetReader, + ms_im: rio.DatasetReader, + tile_win: Window, + indexes: Sequence[int], + dtype: str | np.dtype, + out_im: rio.io.DatasetWriter, + write_mask: bool, + **params, + ) -> None: + """Thread-safe function to pan-sharpen a MS tile and write it to a dataset.""" + # TODO: working dtype precision checks + # read pan and MS tiles & tile masks (without masked arrays which don't release GIL) + with self._pan_lock: + pan_array = pan_im.read(window=tile_win) + pan_mask = pan_im.read_masks(window=tile_win).astype('bool', copy=False) + with self._ms_lock: + ms_array = ms_im.read(indexes=indexes, window=tile_win) + ms_mask = ms_im.read_masks(indexes=indexes, window=tile_win).astype('bool', copy=False) + + # mask and reshape pan & MS + mask = pan_mask[0] & ms_mask.all(axis=0) + pan_array_ = pan_array[0][mask].reshape(1, -1) + ms_array_ = ms_array[:, mask].reshape(len(indexes), -1) + + # pan sharpen masked data and write into output mask area + out_array = np.full(ms_array.shape, fill_value=out_im.nodata or 0, dtype=dtype) + out_array[:, mask] = self._process_tile_array(pan_array_, ms_array_, **params) + + # write pan sharpened tile + with self._out_lock: + # TODO: dtype rounding & clipping, and write mask if it has one + out_im.write(out_array, window=tile_win, masked=write_mask) + + def process( + self, + out_file: str | PathLike | OpenFile, + indexes: Sequence[int] = None, + weights: bool | Sequence[float] = None, + interp: str | Interp = Ortho._default_config['interp'], + write_mask: bool | None = Ortho._default_config['write_mask'], + dtype: str = Ortho._default_config['dtype'], + compress: str | Compress | None = Ortho._default_config['compress'], + build_ovw: bool = Ortho._default_config['build_ovw'], + overwrite: bool = Ortho._default_config['overwrite'], + progress: bool | dict = False, + ): + # TODO: allow pan index e.g. Landsat can have all bands incl pan at different resolutions + # in a single file + + exit_stack = ExitStack() + interp = Interp(interp).to_rio() + with exit_stack: + # TODO: progress bar labels for reading stats and transforming with internal and user + # provided progress params + if progress is True: + progress = Ortho._default_tqdm_kwargs + elif progress is False: + progress = dict(disable=True, leave=False) + # else: + # progress = tqdm(**progress) + # progress = exit_stack.enter_context(progress) + + # open pan & MS images + exit_stack.enter_context(rio.Env(GDAL_NUM_THREADS='ALL_CPUS', GTIFF_FORCE_RGBA=False)) + pan_im = exit_stack.enter_context(utils.OpenRaster(self._pan_file, 'r')) + ms_im = exit_stack.enter_context(utils.OpenRaster(self._ms_file, 'r')) + indexes = indexes or ms_im.indexes + + # open output image + out_profile, write_mask = self._create_out_profile( + pan_im, ms_im, dtype, compress, write_mask + ) + out_profile.update(count=len(indexes)) + out_im = exit_stack.enter_context( + utils.OpenRaster(out_file, 'w', overwrite=overwrite, **out_profile) + ) + + # find pan sharpening parameters from image stats + means, cov = self._get_stats(pan_im, ms_im, indexes, interp, progress) + params = self._get_params(means, cov, weights) + + # open pan & upsampled MS WarpedVRTs that lie on the pan resolution grid, and have + # common bounds + working_dtype = str(np.promote_types(self._working_dtype, out_profile['dtype'])) + pan_im = exit_stack.enter_context( + WarpedVRT(pan_im, **self._pan_profile, dtype=working_dtype) + ) + ms_im = exit_stack.enter_context( + WarpedVRT(ms_im, **self._pan_profile, resampling=interp, dtype=working_dtype) + ) + + # pan sharpen tiles in a thread pool + # TODO: use output or custom block windows? + with ThreadPoolExecutor(max_workers=cpu_count()) as executor: + futures = [ + executor.submit( + self._process_tile, + pan_im, + ms_im, + tile_win, + indexes, + working_dtype, + out_im, + write_mask, + **params, + ) + # for tile_win in self._block_windows(pan_im.shape) + for _, tile_win in out_im.block_windows(1) + ] + for future in tqdm(futures, **progress): + future.result() + + if build_ovw: + # TODO: make utils function + Ortho._build_overviews(out_im) From fb2958588d11a3ab17c71fbe2c416fcb5fd36dce Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Sun, 21 Jul 2024 22:26:55 +0200 Subject: [PATCH 13/93] fix short form option duplicates --- orthority/cli.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/orthority/cli.py b/orthority/cli.py index a017bbe..60a029c 100644 --- a/orthority/cli.py +++ b/orthority/cli.py @@ -516,7 +516,7 @@ def _ortho( help=f'Ortho image data type.', ) compress_option = click.option( - '-c', + '-cm', '--compress', type=click.Choice(Compress, case_sensitive=False), default=Ortho._default_config['compress'], @@ -532,7 +532,7 @@ def _ortho( help='Build overviews for the ortho image(s).', ) export_params_option = click.option( - '-ep', + '-e', '--export-params', is_flag=True, type=click.BOOL, From 4296391f83fc6dbcc2701a87c876700efbaaaad3 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Mon, 22 Jul 2024 20:22:23 +0200 Subject: [PATCH 14/93] add tests for create_profile --- tests/test_utils.py | 111 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 111 insertions(+) diff --git a/tests/test_utils.py b/tests/test_utils.py index 9d8541c..bdc00dd 100644 --- a/tests/test_utils.py +++ b/tests/test_utils.py @@ -23,8 +23,10 @@ import numpy as np import pytest import rasterio as rio +from rasterio.enums import ColorInterp from orthority import utils +from orthority.enums import Compress @pytest.mark.parametrize('file', ['odm_image_file', 'odm_image_url']) @@ -260,3 +262,112 @@ def test_open_not_found_error(file: str): with pytest.raises(FileNotFoundError): with utils.Open(ofile, 'rt'): pass + + +def test_create_profile_non_config_items(): + """Test create_profile() non-configurable items.""" + profile, write_mask = utils.create_profile(dtype='uint8') + + exp_profile = { + 'driver': 'GTiff', + 'tiled': True, + 'blockxsize': 512, + 'blockysize': 512, + 'bigtiff': 'if_safer', + } + for k, v in exp_profile.items(): + assert profile[k] == v + + +@pytest.mark.parametrize( + 'dtype, compress, exp_value', + [ + # compress defaults to 'jpeg' if dtype is uint8, and to 'deflate' otherwise + ('uint8', None, 'jpeg'), + ('uint16', None, 'deflate'), + # compress is copied through as is when provided + ('uint8', 'deflate', 'deflate'), + ('uint16', 'jpeg', 'jpeg'), + ], +) +def test_create_profile_compress(dtype: str, compress: str, exp_value: str): + """Test create_profile() ``compress`` configuration.""" + profile, write_mask = utils.create_profile(dtype=dtype, compress=compress) + + assert profile['dtype'] == dtype + assert profile['compress'] == exp_value + + +@pytest.mark.parametrize( + 'compress, colorinterp, exp_values', + [ + # jpeg compression with any 3 band colorinterp should give 'pixel' / 'ycbcr' + ('jpeg', [ColorInterp.red, ColorInterp.green, ColorInterp.blue], ('pixel', 'ycbcr')), + ('jpeg', [ColorInterp.undefined] * 3, ('pixel', 'ycbcr')), + # other jpeg compression should give 'band' / None + ('jpeg', [ColorInterp.undefined] * 4, ('band', None)), + # deflate compression with rgb or rgb* colorinterp should give 'band' / 'rgb' + ('deflate', [ColorInterp.red, ColorInterp.green, ColorInterp.blue], ('band', 'rgb')), + ( + 'deflate', + [ColorInterp.red, ColorInterp.green, ColorInterp.blue, ColorInterp.alpha], + ('band', 'rgb'), + ), + # other deflate compression should give 'band' / None + ('deflate', [ColorInterp.undefined] * 3, ('band', None)), + ], +) +def test_create_profile_interleave_photometric( + compress: str, colorinterp: list[ColorInterp], exp_values: tuple +): + """Test create_profile() ``interleave`` / ``photometric`` configuration.""" + profile, write_mask = utils.create_profile( + dtype='uint8', compress=compress, colorinterp=colorinterp + ) + + assert profile['dtype'] == 'uint8' + assert profile['compress'] == compress + assert profile['interleave'] == exp_values[0] + assert profile['photometric'] == exp_values[1] + + +def test_create_profile_12bit_jpeg(): + """Test create_profile() correctly configures a 12bit jpeg profile.""" + # Note: depending on how rasterio is built, it may or may not support reading/writing 12 bit + # jpeg compression. This test just checks the profile is correct. + profile, write_mask = utils.create_profile(dtype='uint16', compress=Compress.jpeg) + + assert write_mask + assert profile['dtype'] == 'uint16' + assert profile['compress'] == 'jpeg' + assert 'nbits' in profile and profile['nbits'] == 12 + + +@pytest.mark.parametrize( + 'dtype, write_mask, exp_values', + [ + # with a uint8 dtype (i.e. jpeg compression) write_mask should default to True and nodata + # to None + ('uint8', None, (True, None)), + # with other dtypes write_mask should default to False and nodata to the dtype min value / + # nan + ('uint16', None, (False, 0)), + ('int16', None, (False, np.iinfo('int16').min)), + # when write_mask is False, it should be copied through as is, and nodata set to the + # dtype min value / nan + ('uint8', False, (False, 0)), + ('float32', False, (False, float('nan'))), + ('float64', False, (False, float('nan'))), + # when write_mask is True, it should be copied through as is, and nodata set to None + ('uint8', True, (True, None)), + ], +) +def test_create_profile_write_mask_nodata(dtype: str, write_mask: bool | None, exp_values: tuple): + """Test create_profile() correctly sets ``write_mask`` and ``nodata``.""" + profile, write_mask = utils.create_profile(dtype=dtype, write_mask=write_mask) + + assert write_mask is exp_values[0] + if profile['nodata'] is None or exp_values[1] is None: + assert profile['nodata'] is None and exp_values[1] is None + else: + assert utils.nan_equals(profile['nodata'], exp_values[1]) From b89b8931e656e1978215d03f920d974bee9add44 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Mon, 22 Jul 2024 20:24:43 +0200 Subject: [PATCH 15/93] add create_profile --- orthority/utils.py | 81 ++++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 79 insertions(+), 2 deletions(-) diff --git a/orthority/utils.py b/orthority/utils.py index 3a2599d..a6bc24e 100644 --- a/orthority/utils.py +++ b/orthority/utils.py @@ -27,7 +27,7 @@ from io import IOBase from os import PathLike from pathlib import Path -from typing import IO, Iterable +from typing import IO, Iterable, Sequence import cv2 import fsspec @@ -45,8 +45,10 @@ from rasterio.errors import NotGeoreferencedWarning, RasterioIOError from rasterio.io import DatasetReaderBase, DatasetWriter from rasterio.windows import Window +from rasterio.enums import ColorInterp -from orthority.enums import Interp +from orthority.enums import Interp, Compress +from orthority.errors import OrthorityWarning logger = logging.getLogger(__name__) @@ -359,3 +361,78 @@ def __exit__(self, exc_type, exc_val, exc_tb): def close(self): self._exit_stack.close() + + +def create_profile( + dtype: str | np.dtype, + compress: str | Compress | None = None, + write_mask: bool | None = None, + colorinterp: Sequence[ColorInterp] | None = None, +) -> tuple[dict, bool]: + """Return a partial rasterio profile and ``write_mask`` value for an output image given its + configuration. If ``write_mask`` is None, a value is determined automatically. Spatial and + dimension profile items are not set i.e. ``crs``, ``transform``, ``width``, ``height`` & + ``count``. + """ + # nodata values for supported data types (OpenCV remap doesn't support int8 or uint32, + # and only supports int32, uint64, int64 with nearest interp so these dtypes are + # excluded). + nodata_vals = dict( + uint8=0, uint16=0, int16=np.iinfo('int16').min, float32=float('nan'), float64=float('nan') + ) + colorinterp = colorinterp or [] + profile = {} + + # check dtype support + dtype = str(dtype) + if dtype not in nodata_vals: + raise ValueError(f"Data type '{dtype}' is not supported.") + + # configure compression + if compress is None: + compress = Compress.jpeg if dtype == 'uint8' else Compress.deflate + else: + compress = Compress(compress) + if compress == Compress.jpeg: + if dtype == 'uint16': + warnings.warn( + 'Attempting a 12 bit JPEG ortho configuration. Support is rasterio build ' + 'dependent.', + category=OrthorityWarning, + ) + profile.update(nbits=12) + elif dtype != 'uint8': + raise ValueError( + f"JPEG compression is supported for 'uint8' and 'uint16' data types only." + ) + + # configure interleaving and color interpretation + if compress == Compress.jpeg: + interleave, photometric = ('pixel', 'ycbcr') if len(colorinterp) == 3 else ('band', None) + elif colorinterp[:3] == [ColorInterp.red, ColorInterp.green, ColorInterp.blue]: + interleave, photometric = ('band', 'rgb') + else: + interleave, photometric = ('band', None) + + # resolve auto write_mask (=None) to write masks for jpeg compression + if write_mask is None: + write_mask = True if compress == Compress.jpeg else False + + # set nodata to None when writing internal masks to force external tools to use mask, + # otherwise set by dtype + nodata = None if write_mask else nodata_vals[dtype] + + # create profile + profile.update( + driver='GTiff', + dtype=dtype, + tiled=True, + blockxsize=512, + blockysize=512, + nodata=nodata, + compress=compress.value, + interleave=interleave, + photometric=photometric, + bigtiff='if_safer', + ) + return profile, write_mask From 9439670612581adec34cd5a6883c53657a92d282 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Mon, 22 Jul 2024 20:33:09 +0200 Subject: [PATCH 16/93] change to use utils.create_profile --- orthority/ortho.py | 91 ++++++------------------------------------ orthority/pan_sharp.py | 84 ++++++-------------------------------- 2 files changed, 24 insertions(+), 151 deletions(-) diff --git a/orthority/ortho.py b/orthority/ortho.py index f445a39..a80a6e1 100644 --- a/orthority/ortho.py +++ b/orthority/ortho.py @@ -170,7 +170,7 @@ def _get_init_dem( """Return an initial DEM array in its own CRS and resolution. Includes the corresponding DEM transform, CRS, and flag indicating ortho and DEM CRS equality in return values. """ - with rio.Env(GDAL_NUM_THREADS='ALL_CPUs'), utils.OpenRaster(dem_file, 'r') as dem_im: + with rio.Env(GDAL_NUM_THREADS='ALL_CPUS'), utils.OpenRaster(dem_file, 'r') as dem_im: if dem_band <= 0 or dem_band > dem_im.count: dem_name = utils.get_filename(dem_file) raise ValueError( @@ -304,6 +304,7 @@ def _reproject_dem( # TODO: rasterio/GDAL sometimes finds bounds for the reprojected dem that lie just inside # the source dem bounds. This seems suspect, although is unlikely to affect ortho # bounds so am leaving as is for now. + # TODO: option to align the reprojected transform to whole number of pixels from 0 offset # reproject dem_array to world / ortho crs and ortho resolution dem_array, dem_transform = reproject( @@ -378,77 +379,6 @@ def _mask_dem( return dem_array, dem_transform - def _create_ortho_profile( - self, - src_im: rio.DatasetReader, - shape: Sequence[int], - transform: rio.Affine, - dtype: str, - compress: str | Compress | None, - write_mask: bool | None, - ) -> tuple[dict, bool]: - """Return a rasterio profile for the ortho image.""" - # Determine dtype, check dtype support - # (OpenCV remap doesn't support int8 or uint32, and only supports int32, uint64, int64 with - # nearest interp so these dtypes are excluded). - ortho_profile = {} - dtype = dtype or src_im.profile.get('dtype', None) - if dtype not in Ortho._nodata_vals: - raise ValueError(f"Data type '{dtype}' is not supported.") - - # setup compression, data interleaving and photometric interpretation - if compress is None: - compress = Compress.jpeg if dtype == 'uint8' else Compress.deflate - else: - compress = Compress(compress) - if compress == Compress.jpeg: - if dtype == 'uint16': - warnings.warn( - 'Attempting a 12 bit JPEG ortho configuration. Support is rasterio build ' - 'dependent.', - category=OrthorityWarning, - ) - ortho_profile.update(nbits=12) - elif dtype != 'uint8': - raise ValueError( - f"JPEG compression is supported for 'uint8' and 'uint16' data types only." - ) - - if compress == Compress.jpeg: - interleave, photometric = ( - ('pixel', 'ycbcr') if src_im.count == 3 else ('band', 'minisblack') - ) - else: - interleave, photometric = ('band', 'minisblack') - - # resolve auto write_mask (=None) to write masks for jpeg compression - if write_mask is None: - write_mask = True if compress == Compress.jpeg else False - - # set nodata to None when writing internal masks to force external tools to use mask, - # otherwise set by dtype - nodata = None if write_mask else Ortho._nodata_vals[dtype] - - # create ortho profile - ortho_profile.update( - driver='GTiff', - dtype=dtype, - crs=self._crs, - transform=transform, - width=shape[1], - height=shape[0], - count=src_im.count, - tiled=True, - blockxsize=Ortho._default_blocksize[0], - blockysize=Ortho._default_blocksize[1], - nodata=nodata, - compress=compress.value, - interleave=interleave, - photometric=photometric, - ) - - return ortho_profile, write_mask - def _remap_tile( self, ortho_im: DatasetWriter, @@ -688,13 +618,16 @@ def process( dem_array, dem_transform = self._mask_dem(dem_array, dem_transform, dem_interp) # open the ortho image & set write_mask - ortho_profile, write_mask = self._create_ortho_profile( - src_im, - dem_array.shape, - dem_transform, - dtype=dtype, - compress=compress, - write_mask=write_mask, + dtype = dtype or src_im.dtypes[0] + ortho_profile, write_mask = utils.create_profile( + dtype, compress=compress, write_mask=write_mask, colorinterp=src_im.colorinterp + ) + ortho_profile.update( + crs=self._crs, + transform=dem_transform, + width=dem_array.shape[1], + height=dem_array.shape[0], + count=src_im.count, ) ortho_im = exit_stack.enter_context( utils.OpenRaster(ortho_file, 'w', overwrite=overwrite, **ortho_profile) diff --git a/orthority/pan_sharp.py b/orthority/pan_sharp.py index db83aeb..6124b3d 100644 --- a/orthority/pan_sharp.py +++ b/orthority/pan_sharp.py @@ -136,75 +136,6 @@ def _get_vrt_profiles(self, pan_file, ms_file) -> tuple[dict, dict]: ) return pan_profile, ms_profile - def _create_out_profile( - self, - pan_im: rio.DatasetReader, - ms_im: rio.DatasetReader, - dtype: str, - compress: str | Compress | None, - write_mask: bool | None, - ) -> tuple[dict, bool]: - """Return a rasterio profile for the pan sharpened image.""" - # TODO: make common fn for use here and in Ortho - # Determine dtype, check dtype support - # (OpenCV remap doesn't support int8 or uint32, and only supports int32, uint64, int64 with - # nearest interp so these dtypes are excluded). - out_profile = dict(**self._pan_profile) - dtype = dtype or np.promote_types(pan_im.dtypes[0], ms_im.dtypes[0]) - - # setup compression, data interleaving and photometric interpretation - if compress is None: - compress = Compress.jpeg if dtype == 'uint8' else Compress.deflate - else: - compress = Compress(compress) - if compress == Compress.jpeg: - if dtype == 'uint16': - warnings.warn( - 'Attempting a 12 bit JPEG output configuration. Support is rasterio build ' - 'dependent.', - category=OrthorityWarning, - ) - out_profile.update(nbits=12) - elif dtype != 'uint8': - raise ValueError( - f"JPEG compression is supported for 'uint8' and 'uint16' data types only." - ) - - if compress == Compress.jpeg: - interleave, photometric = ( - ('pixel', 'ycbcr') if ms_im.count == 3 else ('band', 'minisblack') - ) - else: - interleave, photometric = ('band', 'minisblack') - - # resolve auto write_mask (=None) to write masks for jpeg compression - if write_mask is None: - write_mask = True if compress == Compress.jpeg else False - - # set nodata to None when writing internal masks to force external tools to use mask, - # otherwise set by dtype - if write_mask: - nodata = None - else: - nodata = float('nan') if np.issubdtype(dtype, np.floating) else np.iinfo(dtype).min - - # create ortho profile - out_profile.update( - driver='GTiff', - dtype=dtype, - count=ms_im.count, # TODO: should be len of indexes - tiled=True, - blockxsize=Ortho._default_blocksize[0], - blockysize=Ortho._default_blocksize[1], - nodata=nodata, - compress=compress.value, - interleave=interleave, - photometric=photometric, - bigtiff='if_safer', - ) - - return out_profile, write_mask - def _get_stats( self, pan_im: rio.DatasetReader, @@ -520,15 +451,24 @@ def process( indexes = indexes or ms_im.indexes # open output image - out_profile, write_mask = self._create_out_profile( - pan_im, ms_im, dtype, compress, write_mask + dtype = dtype or np.promote_types(pan_im.dtypes[0], ms_im.dtypes[0]) + out_profile, write_mask = utils.create_profile( + dtype, compress=compress, write_mask=write_mask, colorinterp=ms_im.colorinterp + ) + out_profile.update( + crs=self._pan_profile['crs'], + transform=self._pan_profile['transform'], + width=self._pan_profile['width'], + height=self._pan_profile['height'], + count=len(indexes), ) - out_profile.update(count=len(indexes)) out_im = exit_stack.enter_context( utils.OpenRaster(out_file, 'w', overwrite=overwrite, **out_profile) ) # find pan sharpening parameters from image stats + # TODO: Keep stats & params as state (depends on interp & indexes)? Or find stats + # with fixed interp and all indexes, then select specified indexes here? means, cov = self._get_stats(pan_im, ms_im, indexes, interp, progress) params = self._get_params(means, cov, weights) From 9d086a496061de356538adde967f93ed23b7b1c7 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Tue, 23 Jul 2024 20:48:58 +0200 Subject: [PATCH 17/93] round & clip before writing --- orthority/pan_sharp.py | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/orthority/pan_sharp.py b/orthority/pan_sharp.py index 6124b3d..ba290ce 100644 --- a/orthority/pan_sharp.py +++ b/orthority/pan_sharp.py @@ -44,7 +44,6 @@ class PanSharpen: _working_dtype = 'float32' - _working_nodata = float('nan') def __init__( self, @@ -386,7 +385,6 @@ def _process_tile( ms_im: rio.DatasetReader, tile_win: Window, indexes: Sequence[int], - dtype: str | np.dtype, out_im: rio.io.DatasetWriter, write_mask: bool, **params, @@ -407,8 +405,10 @@ def _process_tile( ms_array_ = ms_array[:, mask].reshape(len(indexes), -1) # pan sharpen masked data and write into output mask area - out_array = np.full(ms_array.shape, fill_value=out_im.nodata or 0, dtype=dtype) - out_array[:, mask] = self._process_tile_array(pan_array_, ms_array_, **params) + out_array_ = self._process_tile_array(pan_array_, ms_array_, **params) + out_array_ = utils.convert_array_dtype(out_array_, out_im.dtypes[0]) + out_array = np.full(ms_array.shape, fill_value=out_im.nodata or 0, dtype=out_im.dtypes[0]) + out_array[:, mask] = out_array_ # write pan sharpened tile with self._out_lock: @@ -492,7 +492,6 @@ def process( ms_im, tile_win, indexes, - working_dtype, out_im, write_mask, **params, From 44dd5024ec2e2e2e2eb26ea6db1bfbbae0daa38e Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Tue, 23 Jul 2024 20:50:59 +0200 Subject: [PATCH 18/93] add convert_array_dtype() --- orthority/utils.py | 32 ++++++++++++++++++++++++++++++ tests/test_utils.py | 47 +++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 79 insertions(+) diff --git a/orthority/utils.py b/orthority/utils.py index a6bc24e..4c42017 100644 --- a/orthority/utils.py +++ b/orthority/utils.py @@ -436,3 +436,35 @@ def create_profile( bigtiff='if_safer', ) return profile, write_mask + + +def convert_array_dtype(array: np.ndarray, dtype: str) -> np.array: + """Return the ``array`` converted to ``dtype``, rounding and clipping in-place when ``dtype`` + is integer. Adapted from :meth:`homonim.raster_array.RasterArray._convert_array_dtype`. + """ + unsafe_cast = not np.can_cast(array.dtype, dtype, casting='safe') + + # round if converting from float to integer dtype + if unsafe_cast and np.issubdtype(array.dtype, np.floating) and np.issubdtype(dtype, np.integer): + np.round(array, out=array) + + # clip if converting to integer dtype with smaller range than array dtype + if unsafe_cast and np.issubdtype(dtype, np.integer): + src_info = ( + np.iinfo(array.dtype) + if np.issubdtype(array.dtype, np.integer) + else np.finfo(array.dtype) + ) + dst_info = np.iinfo(dtype) + if src_info.min < dst_info.min or src_info.max > dst_info.max: + if np.issubdtype(array.dtype, np.floating): + # promote array dtype to be able to represent destination dtype exactly (if + # possible) to clip correctly + array = array.astype(np.promote_types(array.dtype, dtype)) + np.clip(array, dst_info.min, dst_info.max, out=array) + + # convert dtype (ignoring numpy warnings for float overflow or cast of nan to integer) + with np.errstate(invalid='ignore', over='ignore'): + array = array.astype(dtype, copy=False, casting='unsafe') + + return array diff --git a/tests/test_utils.py b/tests/test_utils.py index bdc00dd..598cbd1 100644 --- a/tests/test_utils.py +++ b/tests/test_utils.py @@ -371,3 +371,50 @@ def test_create_profile_write_mask_nodata(dtype: str, write_mask: bool | None, e assert profile['nodata'] is None and exp_values[1] is None else: assert utils.nan_equals(profile['nodata'], exp_values[1]) + + +@pytest.mark.parametrize( + 'src_dtype, dst_dtype', + [ + ('float32', 'uint8'), + ('float32', 'uint16'), + ('float32', 'int16'), + ('float32', 'int32'), + ('float32', 'float32'), + ('float32', 'float64'), + ('float64', 'float32'), + ('float64', 'float64'), + ], +) +def test_convert_array_dtype(src_dtype: str, dst_dtype: str): + """Test convert_array_dtype() conversion with combinations covering rounding and clipping + (with and w/o type promotion). + """ + src_info = np.iinfo(src_dtype) if np.issubdtype(src_dtype, np.integer) else np.finfo(src_dtype) + dst_info = np.iinfo(dst_dtype) if np.issubdtype(dst_dtype, np.integer) else np.finfo(dst_dtype) + + # create array that spans the src_dtype range & includes decimals + array = np.geomspace(1, src_info.max, 50, dtype=src_dtype).reshape(5, 10) + if src_info.min != 0: + array = np.concatenate( + (array, np.geomspace(-1, src_info.min, 50, dtype=src_dtype).reshape(5, 10)) + ) + + # convert to dtype + test_array = utils.convert_array_dtype(array, dst_dtype) + + # create rounded & clipped array to test against + ref_array = array + if np.issubdtype(dst_dtype, np.integer): + # promote dtype to clip correctly + ref_array = ref_array.astype(np.promote_types(array.dtype, dst_dtype)) + ref_array = np.clip(np.round(ref_array), dst_info.min, dst_info.max) + elif np.issubdtype(src_dtype, np.floating): + # don't clip float but set out of range vals to +-inf (as np.astype does) + ref_array[ref_array < dst_info.min] = float('-inf') + ref_array[ref_array > dst_info.max] = float('inf') + assert np.any(ref_array % 1 != 0) # check contains decimals + + assert test_array.dtype == dst_dtype + # use approx test for case of (expected) precision loss e.g. float64->float32 + assert test_array == pytest.approx(ref_array, rel=1e-6) From a6f4ec9ab52fd3baecaaad3d979927d6ae64a35e Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Tue, 23 Jul 2024 20:51:55 +0200 Subject: [PATCH 19/93] move profile test to test_utils --- tests/test_ortho.py | 20 -------------------- 1 file changed, 20 deletions(-) diff --git a/tests/test_ortho.py b/tests/test_ortho.py index 8f55f1a..83d8616 100644 --- a/tests/test_ortho.py +++ b/tests/test_ortho.py @@ -638,26 +638,6 @@ def test_mask_dem_coverage_error( assert 'boundary' in str(ex.value) -def test_create_ortho_profile_12bit_jpeg(rgb_pinhole_utm34n_ortho: Ortho): - """Test _create_ortho_profile correctly configures a 12bit jpeg ortho profile.""" - # Note: depending on how rasterio is built, it may or may not support reading/writing 12 bit - # jpeg compression. This test just checks the ortho profile is correct. - with rio.open(rgb_pinhole_utm34n_ortho._src_file, 'r') as src_im: - ortho_profile, write_mask = rgb_pinhole_utm34n_ortho._create_ortho_profile( - src_im, - (1, 1), - rio.Affine.identity(), - dtype='uint16', - compress=Compress.jpeg, - write_mask=None, - ) - - assert write_mask - assert ortho_profile['dtype'] == 'uint16' - assert ortho_profile['compress'] == 'jpeg' - assert 'nbits' in ortho_profile and ortho_profile['nbits'] == 12 - - @pytest.mark.parametrize('resolution', [(30.0, 30.0), (60.0, 60.0), (60.0, 30.0)]) def test_process_resolution(rgb_pinhole_utm34n_ortho: Ortho, resolution: tuple, tmp_path: Path): """Test ortho ``resolution`` is set correctly.""" From 6373a0bcf43164151a7581fc8504d9f924e93c6c Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 24 Jul 2024 13:21:53 +0200 Subject: [PATCH 20/93] write mask band and use utils.build_overviews() --- orthority/pan_sharp.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/orthority/pan_sharp.py b/orthority/pan_sharp.py index ba290ce..cc5ebed 100644 --- a/orthority/pan_sharp.py +++ b/orthority/pan_sharp.py @@ -412,8 +412,9 @@ def _process_tile( # write pan sharpened tile with self._out_lock: - # TODO: dtype rounding & clipping, and write mask if it has one - out_im.write(out_array, window=tile_win, masked=write_mask) + out_im.write(out_array, window=tile_win) + if write_mask: + out_im.write_mask(mask, window=tile_win) def process( self, @@ -503,5 +504,4 @@ def process( future.result() if build_ovw: - # TODO: make utils function - Ortho._build_overviews(out_im) + utils.build_overviews(out_im) From 667a8c20ea048c68d99d01e81de392fcf52073b0 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 24 Jul 2024 13:23:32 +0200 Subject: [PATCH 21/93] move Ortho._build_overviews() to utils.build_overviews() --- orthority/ortho.py | 17 ++--------------- orthority/utils.py | 25 +++++++++++++++++++++++++ tests/test_utils.py | 19 ++++++++++++++++++- 3 files changed, 45 insertions(+), 16 deletions(-) diff --git a/orthority/ortho.py b/orthority/ortho.py index a80a6e1..be78e0f 100644 --- a/orthority/ortho.py +++ b/orthority/ortho.py @@ -32,7 +32,7 @@ from rasterio.crs import CRS from rasterio.io import DatasetWriter from rasterio.transform import array_bounds -from rasterio.warp import reproject, Resampling, transform, transform_bounds +from rasterio.warp import reproject, transform, transform_bounds from rasterio.windows import Window from tqdm.std import tqdm, tqdm as std_tqdm @@ -136,19 +136,6 @@ def camera(self) -> Camera | FrameCamera: """Source image camera model.""" return self._camera - @staticmethod - def _build_overviews( - im: DatasetWriter, - max_num_levels: int = 8, - min_level_pixels: int = 256, - ) -> None: - """Build internal overviews for a given rasterio dataset.""" - max_ovw_levels = int(np.min(np.log2(im.shape))) - min_level_shape_pow2 = int(np.log2(min_level_pixels)) - num_ovw_levels = np.min([max_num_levels, max_ovw_levels - min_level_shape_pow2]) - ovw_levels = [2**m for m in range(1, num_ovw_levels + 1)] - im.build_overviews(ovw_levels, Resampling.average) - def _parse_crs(self, crs: str | CRS) -> CRS: """Derive a world / ortho CRS from the ``crs`` parameter and source image.""" if crs: @@ -646,7 +633,7 @@ def process( if build_ovw: # TODO: is it possible to convert to COG here? - self._build_overviews(ortho_im) + utils.build_overviews(ortho_im) ## diff --git a/orthority/utils.py b/orthority/utils.py index 4c42017..9ef28d6 100644 --- a/orthority/utils.py +++ b/orthority/utils.py @@ -34,6 +34,7 @@ import numpy as np import rasterio as rio from fsspec.core import OpenFile +from rasterio.enums import Resampling try: from fsspec.implementations.http import HTTPFileSystem @@ -468,3 +469,27 @@ def convert_array_dtype(array: np.ndarray, dtype: str) -> np.array: array = array.astype(dtype, copy=False, casting='unsafe') return array + + +def build_overviews( + im: DatasetWriter, + max_num_levels: int = 8, + min_level_pixels: int = 256, +) -> None: + """ + Build internal overviews for an open rasterio dataset. Each overview level is decimated by a + factor of 2. The number of overview levels is determined by whichever of the + ``max_num_levels`` or ``min_level_pixels`` limits is reached first. + + :param im: + Rasterio dataset opened in 'r+' or 'w' mode. + :param max_num_levels: + Maximum number of overview levels. + :param min_level_pixels: + Minimum overview width / height in pixels. + """ + max_ovw_levels = int(np.min(np.log2(im.shape))) + min_level_shape_pow2 = int(np.log2(min_level_pixels)) + num_ovw_levels = np.min([max_num_levels, max_ovw_levels - min_level_shape_pow2]) + ovw_levels = [2**m for m in range(1, num_ovw_levels + 1)] + im.build_overviews(ovw_levels, Resampling.average) diff --git a/tests/test_utils.py b/tests/test_utils.py index 598cbd1..6e0c31b 100644 --- a/tests/test_utils.py +++ b/tests/test_utils.py @@ -16,7 +16,7 @@ from __future__ import annotations from contextlib import contextmanager -from io import TextIOWrapper +from io import BytesIO, TextIOWrapper from pathlib import Path import fsspec @@ -27,6 +27,7 @@ from orthority import utils from orthority.enums import Compress +from tests.conftest import checkerboard, create_profile @pytest.mark.parametrize('file', ['odm_image_file', 'odm_image_url']) @@ -418,3 +419,19 @@ def test_convert_array_dtype(src_dtype: str, dst_dtype: str): assert test_array.dtype == dst_dtype # use approx test for case of (expected) precision loss e.g. float64->float32 assert test_array == pytest.approx(ref_array, rel=1e-6) + + +def test_build_overviews(): + """Test build_overviews() builds overviews for an open in-memory dataset.""" + # create in-memory dataset + array = checkerboard((768, 1024)).astype('uint8') + array = np.stack((array,) * 3, axis=0) + profile = create_profile(array) + buf = BytesIO() + with rio.open(buf, 'w', driver='GTiff', **profile) as im: + im.write(array) + # build overviews + utils.build_overviews(im) + + with rio.open(buf, 'r') as im: + assert len(im.overviews(1)) > 0 From 587222d2d1cf3497e003e57ebb71cccae7595bdc Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 24 Jul 2024 16:37:30 +0200 Subject: [PATCH 22/93] logging updates --- orthority/fit.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/orthority/fit.py b/orthority/fit.py index 25edc4b..0828aa1 100644 --- a/orthority/fit.py +++ b/orthority/fit.py @@ -95,10 +95,10 @@ def _norm_ji(rpc: dict, ji: np.ndarray) -> np.ndarray: err = ((ji_gcp - ji_refine).T * (rpc['samp_scale'], rpc['line_scale'])).T # pixels err_dist = np.sum(err**2, axis=0) logger.debug(f"Refinement transform: \n{refine_tform}") - logger.debug(f"Refinement RMSE (pixels): {np.sqrt(np.mean(err_dist)):.5f}") + logger.debug(f"Refinement RMSE (pixels): {np.sqrt(np.mean(err_dist)):.4f}") logger.debug( f"Refinement min - max error (pixels): " - f"{np.sqrt(np.min(err_dist)):.5f} - {np.sqrt(np.max(err_dist)):.5f}" + f"{np.sqrt(np.min(err_dist)):.5f} - {np.sqrt(np.max(err_dist)):.4f}" ) # incorporate the refinement transform into the original RPC coefficients From 4658ff751b4455082750f87b3af518ef5b9f4bf9 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 24 Jul 2024 17:12:35 +0200 Subject: [PATCH 23/93] add ruff --- pyproject.toml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/pyproject.toml b/pyproject.toml index e04c842..5c166a4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -53,3 +53,7 @@ version = {attr = 'orthority.version.__version__'} [tool.black] line-length = 100 skip-string-normalization = true + +[tool.ruff] +line-length = 120 +format = { quote-style = 'preserve' } From cb5cb79a15e00ded63de9016f847e812064dfa29 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 24 Jul 2024 19:08:35 +0200 Subject: [PATCH 24/93] utils.py -> common.py --- orthority/camera.py | 6 +-- orthority/cli.py | 30 ++++++------- orthority/{utils.py => common.py} | 0 orthority/exif.py | 6 +-- orthority/factory.py | 18 ++++---- orthority/ortho.py | 24 +++++----- orthority/pan_sharp.py | 16 +++---- orthority/param_io.py | 56 +++++++++++------------ pyproject.toml | 2 +- tests/data/create_test_data.py | 2 +- tests/test_camera.py | 20 ++++++--- tests/{test_utils.py => test_common.py} | 60 ++++++++++++------------- tests/test_ortho.py | 2 +- 13 files changed, 124 insertions(+), 118 deletions(-) rename orthority/{utils.py => common.py} (100%) rename tests/{test_utils.py => test_common.py} (90%) diff --git a/orthority/camera.py b/orthority/camera.py index 672a6ac..a4278e5 100644 --- a/orthority/camera.py +++ b/orthority/camera.py @@ -31,7 +31,7 @@ from rasterio.transform import GCPTransformer, GroundControlPoint, RPCTransformer from rasterio.warp import transform as warp -from orthority import utils +from orthority import common from orthority.enums import CameraType, Interp from orthority.errors import CameraInitError, OrthorityWarning from orthority.param_io import _opk_to_rotation @@ -315,7 +315,7 @@ def read( indexes = np.expand_dims(indexes, 0) if np.isscalar(indexes) else indexes env = rio.Env(GDAL_NUM_THREADS='ALL_CPUS', GTIFF_FORCE_RGBA=False) - with utils.suppress_no_georef(), env, utils.OpenRaster(im_file) as im: + with common.suppress_no_georef(), env, common.OpenRaster(im_file) as im: dtype = dtype or im.dtypes[0] return im.read(indexes, out_dtype=dtype) @@ -398,7 +398,7 @@ def remap( ) # find nodata mask - remap_mask = np.all(utils.nan_equals(remap_array, nodata), axis=0) + remap_mask = np.all(common.nan_equals(remap_array, nodata), axis=0) return remap_array, remap_mask diff --git a/orthority/cli.py b/orthority/cli.py index 60a029c..840e492 100644 --- a/orthority/cli.py +++ b/orthority/cli.py @@ -32,7 +32,7 @@ from tqdm.contrib.logging import logging_redirect_tqdm from tqdm.std import tqdm -from orthority import root_path, utils +from orthority import root_path, common from orthority.camera import create_camera, FrameCamera from orthority.enums import CameraType, Compress, Interp, RpcRefine from orthority.errors import CrsError, CrsMissingError, ParamError @@ -44,7 +44,7 @@ logger = logging.getLogger(__name__) # TODO: use universal_pathlib if/when it matures for all filename options instead of OpenFile, -# and the utils.get_filename and utils.join_ofile work arounds. +# and the common.get_filename and common.join_ofile work arounds. class RstCommand(click.Command): @@ -141,12 +141,12 @@ def _read_crs(crs: str): crs_path = Path(crs) if crs_path.suffix.lower() in ['.tif', '.tiff']: # read CRS from geotiff path / URL - with utils.suppress_no_georef(), utils.OpenRaster(crs, 'r') as im: + with common.suppress_no_georef(), common.OpenRaster(crs, 'r') as im: crs = im.crs else: if crs_path.exists() or urlparse(crs).scheme in fsspec.available_protocols(): # read string from text file path / valid URI - with utils.Open(crs, 'rt') as f: + with common.Open(crs, 'rt') as f: crs = f.read() # read CRS from string crs = rio.CRS.from_string(crs) @@ -243,7 +243,7 @@ def _dir_cb(ctx: click.Context, param: click.Parameter, uri_path: str) -> OpenFi def _odm_out_dir_cb(ctx: click.Context, param: click.Parameter, out_dir: str) -> OpenFile: """Click callback to create the default, or validate a user-supplied, ODM output directory.""" if not out_dir: - ofile = utils.join_ofile(ctx.params['dataset_dir'], 'orthority') + ofile = common.join_ofile(ctx.params['dataset_dir'], 'orthority') try: # Note this does not raise an exception for (read-only) html protocol. Not ideal, but # this code won't be reached for html as _dir_cb does raise an exception for @@ -318,14 +318,14 @@ def _ortho( # open & validate dem_file (open it once here so it is not opened repeatedly in # orthorectification below) try: - dem_ctx = utils.OpenRaster(dem_file, 'r') + dem_ctx = common.OpenRaster(dem_file, 'r') except FileNotFoundError as ex: raise click.BadParameter(str(ex), param_hint="'-d' / '--dem'") with dem_ctx as dem_im: # validate dem_band if dem_band <= 0 or dem_band > dem_im.count: - dem_name = utils.get_filename(dem_im) + dem_name = common.get_filename(dem_im) raise click.BadParameter( f"DEM band {dem_band} is invalid for '{dem_name}' with {dem_im.count} band(s).", param_hint="'-db' / '--dem-band'", @@ -344,7 +344,7 @@ def _ortho( # open & validate src_file (open it once here so it is not opened repeatedly) try: - src_ctx = utils.OpenRaster(src_file, 'r') + src_ctx = common.OpenRaster(src_file, 'r') except FileNotFoundError as ex: raise click.BadParameter(str(ex), param_hint="'SOURCE...'") @@ -356,7 +356,7 @@ def _ortho( # orthorectify ortho = Ortho(src_im, dem_im, camera, crs, dem_band=dem_band) - ortho_ofile = utils.join_ofile( + ortho_ofile = common.join_ofile( out_dir, f'{src_file_path.stem}_ORTHO.tif', mode='wb' ) try: @@ -573,7 +573,7 @@ def cli(ctx: click.Context, verbose, quiet) -> None: # enter context managers for sub-command raster operations env = rio.Env(GDAL_NUM_THREADS='ALL_CPUS', GTIFF_FORCE_RGBA=False, GDAL_TIFF_INTERNAL_MASK=True) - ctx.with_resource(utils.suppress_no_georef()) + ctx.with_resource(common.suppress_no_georef()) ctx.with_resource(env) # redirect logs through tqdm.write, so they do not interfere with progress bars @@ -809,7 +809,7 @@ def odm( """ # find source images src_exts = ['.jpg', '.jpeg', '.tif', '.tiff'] - images_ofile = utils.join_ofile(dataset_dir, 'images/') + images_ofile = common.join_ofile(dataset_dir, 'images/') src_files = images_ofile.fs.find(images_ofile.path) # use existing fs rather than open_files src_files = [sf for sf in src_files if sf[sf.rfind('.') :].lower() in src_exts] src_files = [OpenFile(images_ofile.fs, sf, 'rb') for sf in src_files] @@ -819,9 +819,9 @@ def odm( ) # read CRS from DSM - dem_ofile = utils.join_ofile(dataset_dir, 'odm_dem/dsm.tif', mode='rb') + dem_ofile = common.join_ofile(dataset_dir, 'odm_dem/dsm.tif', mode='rb') try: - dem_ctx = utils.OpenRaster(dem_ofile, 'r') + dem_ctx = common.OpenRaster(dem_ofile, 'r') except FileNotFoundError as ex: raise click.BadParameter( f"No DSM found in '/odm_dem/'. {str(ex)}", @@ -831,7 +831,7 @@ def odm( crs = crs or dem_im.crs # create camera factory - rec_ofile = utils.join_ofile(dataset_dir, 'opensfm/reconstruction.json', mode='rt') + rec_ofile = common.join_ofile(dataset_dir, 'opensfm/reconstruction.json', mode='rt') try: cameras = FrameCameras( int_param=rec_ofile, @@ -1129,7 +1129,7 @@ def check_args(src_im_file, dem_file, pos_ori_file, ortho_dir=None): ortho_filename = Path(ortho_dir).joinpath(src_filename.stem + '_ORTHO.tif') # Get src size - with utils.suppress_no_georef(), rio.open(src_filename) as src_im: + with common.suppress_no_georef(), rio.open(src_filename) as src_im: im_size = np.float64([src_im.width, src_im.height]) if not camera: diff --git a/orthority/utils.py b/orthority/common.py similarity index 100% rename from orthority/utils.py rename to orthority/common.py diff --git a/orthority/exif.py b/orthority/exif.py index 7bca8a8..6792875 100644 --- a/orthority/exif.py +++ b/orthority/exif.py @@ -26,7 +26,7 @@ import rasterio as rio from fsspec.core import OpenFile -from orthority import utils +from orthority import common from orthority.errors import OrthorityWarning logger = logging.getLogger(__name__) @@ -109,8 +109,8 @@ class Exif: """ def __init__(self, file: str | PathLike | OpenFile | rio.DatasetReader): - self._filename = utils.get_filename(file) - with utils.suppress_no_georef(), rio.Env(GDAL_NUM_THREADS='ALL_CPUS'), utils.OpenRaster( + self._filename = common.get_filename(file) + with common.suppress_no_georef(), rio.Env(GDAL_NUM_THREADS='ALL_CPUS'), common.OpenRaster( file, 'r' ) as ds: # NB: avoid calling ds.tag_namespaces() which reads more (all?) of the dataset diff --git a/orthority/factory.py b/orthority/factory.py index a798c76..bd8de75 100644 --- a/orthority/factory.py +++ b/orthority/factory.py @@ -25,7 +25,7 @@ import rasterio as rio from fsspec.core import OpenFile -from orthority import param_io, utils +from orthority import param_io, common from orthority.camera import Camera, create_camera, FrameCamera, RpcCamera from orthority.errors import CrsMissingError, OrthorityWarning, ParamError from orthority.fit import refine_rpc @@ -157,7 +157,7 @@ def _read_param( crs = None if not isinstance(int_param, dict): # read interior params - int_param_suffix = Path(utils.get_filename(int_param)).suffix.lower() + int_param_suffix = Path(common.get_filename(int_param)).suffix.lower() int_param_dict = None if int_param_suffix in ['.yaml', '.yml']: int_param_dict = param_io.read_oty_int_param(int_param) @@ -177,7 +177,7 @@ def _read_param( if not isinstance(ext_param, dict): # read exterior params and CRS - ext_param_suffix = Path(utils.get_filename(ext_param)).suffix.lower() + ext_param_suffix = Path(common.get_filename(ext_param)).suffix.lower() if ext_param_suffix in ['.csv', '.txt']: reader = param_io.CsvReader(ext_param, **kwargs) elif ext_param_suffix == '.json': @@ -204,7 +204,7 @@ def _read_param( def get(self, filename: str | PathLike | OpenFile | rio.DatasetReader) -> FrameCamera: # get exterior params for filename - filename = Path(utils.get_filename(filename)) + filename = Path(common.get_filename(filename)) ext_param = self._ext_param_dict.get( filename.name, self._ext_param_dict.get(filename.stem, None) ) @@ -235,14 +235,14 @@ def get(self, filename: str | PathLike | OpenFile | rio.DatasetReader) -> FrameC def write_param(self, out_dir: str | PathLike | OpenFile, overwrite: bool = False): # write interior params - int_param_file = utils.join_ofile(out_dir, 'int_param.yaml', mode='wt') + int_param_file = common.join_ofile(out_dir, 'int_param.yaml', mode='wt') param_io.write_int_param(int_param_file, self._int_param_dict, overwrite=overwrite) if not self.crs: raise CrsMissingError("A world 'crs' is required to write exterior parameters.") # write exterior params - ext_param_file = utils.join_ofile(out_dir, 'ext_param.geojson', mode='wt') + ext_param_file = common.join_ofile(out_dir, 'ext_param.geojson', mode='wt') param_io.write_ext_param( ext_param_file, self._ext_param_dict, overwrite=overwrite, crs=self.crs ) @@ -364,7 +364,7 @@ def refine( def get(self, filename: str | PathLike | OpenFile | rio.DatasetReader) -> RpcCamera: # get rpc params for filename - filename = Path(utils.get_filename(filename)) + filename = Path(common.get_filename(filename)) rpc_param = self._rpc_param_dict.get( filename.name, self._rpc_param_dict.get(filename.stem, None) ) @@ -389,8 +389,8 @@ def write_param(self, out_dir: str | PathLike | OpenFile, overwrite: bool = Fals :param overwrite: Whether to overwrite file(s) if they exist. """ - rpc_file = utils.join_ofile(out_dir, 'rpc_param.yaml', mode='wt') + rpc_file = common.join_ofile(out_dir, 'rpc_param.yaml', mode='wt') param_io.write_rpc_param(rpc_file, self._rpc_param_dict, overwrite=overwrite) if self._gcp_dict: - gcp_file = utils.join_ofile(out_dir, 'gcps.geojson', mode='wt') + gcp_file = common.join_ofile(out_dir, 'gcps.geojson', mode='wt') param_io.write_gcps(gcp_file, self._gcp_dict, overwrite=overwrite) diff --git a/orthority/ortho.py b/orthority/ortho.py index be78e0f..dd49d02 100644 --- a/orthority/ortho.py +++ b/orthority/ortho.py @@ -36,7 +36,7 @@ from rasterio.windows import Window from tqdm.std import tqdm, tqdm as std_tqdm -from orthority import utils +from orthority import common from orthority.camera import Camera, FrameCamera from orthority.enums import Compress, Interp from orthority.errors import CrsMissingError, OrthorityWarning @@ -123,7 +123,7 @@ def __init__( raise TypeError("'camera' is not a Camera instance.") self._src_file = src_file - self._src_name = utils.get_filename(src_file) + self._src_name = common.get_filename(src_file) self._camera = camera self._write_lock = threading.Lock() @@ -141,7 +141,7 @@ def _parse_crs(self, crs: str | CRS) -> CRS: if crs: crs = CRS.from_string(crs) if isinstance(crs, str) else crs else: - with utils.suppress_no_georef(), utils.OpenRaster(self._src_file, 'r') as src_im: + with common.suppress_no_georef(), common.OpenRaster(self._src_file, 'r') as src_im: if src_im.crs: crs = src_im.crs else: @@ -157,9 +157,9 @@ def _get_init_dem( """Return an initial DEM array in its own CRS and resolution. Includes the corresponding DEM transform, CRS, and flag indicating ortho and DEM CRS equality in return values. """ - with rio.Env(GDAL_NUM_THREADS='ALL_CPUS'), utils.OpenRaster(dem_file, 'r') as dem_im: + with rio.Env(GDAL_NUM_THREADS='ALL_CPUS'), common.OpenRaster(dem_file, 'r') as dem_im: if dem_band <= 0 or dem_band > dem_im.count: - dem_name = utils.get_filename(dem_file) + dem_name = common.get_filename(dem_file) raise ValueError( f"DEM band {dem_band} is invalid for '{dem_name}' with {dem_im.count} band(s)" ) @@ -194,7 +194,7 @@ def get_win_at_zs(zs: Sequence[float]) -> Window: raise ValueError( f"Ortho for '{self._src_name}' lies outside, or underneath the DEM." ) - return utils.expand_window_to_grid(dem_win) + return common.expand_window_to_grid(dem_win) # get a dem window containing the ortho bounds at min & max possible altitude, read the # window from the dem @@ -572,7 +572,7 @@ def process( else: progress = tqdm(**progress) progress = exit_stack.enter_context(progress) - # exit_stack.enter_context(utils.profiler()) # run utils.profiler in DEBUG log level + # exit_stack.enter_context(common.profiler()) # run common.profiler in DEBUG log level # use the GSD for auto resolution if resolution not provided if not resolution: @@ -585,8 +585,8 @@ def process( GDAL_NUM_THREADS='ALL_CPUS', GTIFF_FORCE_RGBA=False, GDAL_TIFF_INTERNAL_MASK=True ) exit_stack.enter_context(env) - exit_stack.enter_context(utils.suppress_no_georef()) - src_im = exit_stack.enter_context(utils.OpenRaster(self._src_file, 'r')) + exit_stack.enter_context(common.suppress_no_georef()) + src_im = exit_stack.enter_context(common.OpenRaster(self._src_file, 'r')) # warn if source dimensions don't match camera if src_im.shape[::-1] != self._camera.im_size: @@ -606,7 +606,7 @@ def process( # open the ortho image & set write_mask dtype = dtype or src_im.dtypes[0] - ortho_profile, write_mask = utils.create_profile( + ortho_profile, write_mask = common.create_profile( dtype, compress=compress, write_mask=write_mask, colorinterp=src_im.colorinterp ) ortho_profile.update( @@ -617,7 +617,7 @@ def process( count=src_im.count, ) ortho_im = exit_stack.enter_context( - utils.OpenRaster(ortho_file, 'w', overwrite=overwrite, **ortho_profile) + common.OpenRaster(ortho_file, 'w', overwrite=overwrite, **ortho_profile) ) # orthorectify @@ -633,7 +633,7 @@ def process( if build_ovw: # TODO: is it possible to convert to COG here? - utils.build_overviews(ortho_im) + common.build_overviews(ortho_im) ## diff --git a/orthority/pan_sharp.py b/orthority/pan_sharp.py index cc5ebed..74d56e6 100644 --- a/orthority/pan_sharp.py +++ b/orthority/pan_sharp.py @@ -34,7 +34,7 @@ from rasterio.windows import intersect, Window from tqdm.std import tqdm -from orthority import utils +from orthority import common from orthority.enums import Compress, Interp from orthority.errors import OrthorityWarning from orthority.ortho import Ortho @@ -75,7 +75,7 @@ def _get_vrt_profiles(self, pan_file, ms_file) -> tuple[dict, dict]: and cropped (as necessary) to lie on the pan grid. """ # TODO: what if the images have GCPs but not transforms? - with utils.OpenRaster(pan_file) as pan_ds, utils.OpenRaster(ms_file) as ms_ds: + with common.OpenRaster(pan_file) as pan_ds, common.OpenRaster(ms_file) as ms_ds: if np.any(np.array(pan_ds.res) > ms_ds.res): raise ValueError( f'Pan resolution: {pan_ds.res} exceeds multispectral resolution: {ms_ds.res}.' @@ -406,7 +406,7 @@ def _process_tile( # pan sharpen masked data and write into output mask area out_array_ = self._process_tile_array(pan_array_, ms_array_, **params) - out_array_ = utils.convert_array_dtype(out_array_, out_im.dtypes[0]) + out_array_ = common.convert_array_dtype(out_array_, out_im.dtypes[0]) out_array = np.full(ms_array.shape, fill_value=out_im.nodata or 0, dtype=out_im.dtypes[0]) out_array[:, mask] = out_array_ @@ -447,13 +447,13 @@ def process( # open pan & MS images exit_stack.enter_context(rio.Env(GDAL_NUM_THREADS='ALL_CPUS', GTIFF_FORCE_RGBA=False)) - pan_im = exit_stack.enter_context(utils.OpenRaster(self._pan_file, 'r')) - ms_im = exit_stack.enter_context(utils.OpenRaster(self._ms_file, 'r')) + pan_im = exit_stack.enter_context(common.OpenRaster(self._pan_file, 'r')) + ms_im = exit_stack.enter_context(common.OpenRaster(self._ms_file, 'r')) indexes = indexes or ms_im.indexes # open output image dtype = dtype or np.promote_types(pan_im.dtypes[0], ms_im.dtypes[0]) - out_profile, write_mask = utils.create_profile( + out_profile, write_mask = common.create_profile( dtype, compress=compress, write_mask=write_mask, colorinterp=ms_im.colorinterp ) out_profile.update( @@ -464,7 +464,7 @@ def process( count=len(indexes), ) out_im = exit_stack.enter_context( - utils.OpenRaster(out_file, 'w', overwrite=overwrite, **out_profile) + common.OpenRaster(out_file, 'w', overwrite=overwrite, **out_profile) ) # find pan sharpening parameters from image stats @@ -504,4 +504,4 @@ def process( future.result() if build_ovw: - utils.build_overviews(out_im) + common.build_overviews(out_im) diff --git a/orthority/param_io.py b/orthority/param_io.py index 7e70ab4..cc5770c 100644 --- a/orthority/param_io.py +++ b/orthority/param_io.py @@ -42,7 +42,7 @@ from rasterio.warp import transform from tqdm.std import tqdm -from orthority import utils +from orthority import common from orthority.enums import CameraType, CsvFormat from orthority.errors import CrsError, CrsMissingError, ParamError from orthority.exif import Exif @@ -215,7 +215,7 @@ def read_oty_int_param(file: str | PathLike | OpenFile | IO[str]) -> dict[str, d File to read. Can be a path or URI string, an :class:`~fsspec.core.OpenFile` object or a file object, opened in text mode (``'rt'``). """ - with utils.Open(file, 'rt') as f: + with common.Open(file, 'rt') as f: yaml_dict = yaml.safe_load(f) def parse_yaml_param(yaml_param: dict, cam_id: str = None) -> dict[str, Any]: @@ -282,7 +282,7 @@ def read_osfm_int_param(file: str | PathLike | OpenFile | IO[str]) -> dict[str, File to read. Can be a path or URI string, an :class:`~fsspec.core.OpenFile` object or a file object, opened in text mode (``'rt'``). """ - with utils.Open(file, 'rt') as f: + with common.Open(file, 'rt') as f: json_dict = json.load(f) return _read_osfm_int_param(json_dict) @@ -323,8 +323,8 @@ def _read_im_rpc_param( file: str | PathLike | OpenFile | rio.DatasetReader, ) -> dict[str, dict[str, Any]]: """Read RPC camera parameters from an image file.""" - filename = utils.get_filename(file) - with utils.suppress_no_georef(), rio.Env(GDAL_NUM_THREADS='ALL_CPUS'), utils.OpenRaster( + filename = common.get_filename(file) + with common.suppress_no_georef(), rio.Env(GDAL_NUM_THREADS='ALL_CPUS'), common.OpenRaster( file, 'r' ) as im: # TODO: what is the speed of this for a large remote image? does it just read the @@ -365,7 +365,7 @@ def read_oty_rpc_param(file: str | PathLike | OpenFile | IO[str]) -> dict[str, d File to read. Can be a path or URI string, an :class:`~fsspec.core.OpenFile` object or a file object, opened in text mode (``'rt'``). """ - with utils.Open(file, 'rt') as f: + with common.Open(file, 'rt') as f: yaml_dict = yaml.safe_load(f) # template to test yaml_dict items against @@ -395,10 +395,10 @@ def read_oty_rpc_param(file: str | PathLike | OpenFile | IO[str]) -> dict[str, d try: if not isinstance(filename, str): raise TypeError(f"'{filename}' key is not an an instance of 'str'.") - utils.validate_collection(schema, rpc_param) + common.validate_collection(schema, rpc_param) except (ValueError, TypeError, KeyError) as ex: raise ParamError( - f"'{utils.get_filename(file)}' is not a valid Orthority RPC file: {str(ex)}." + f"'{common.get_filename(file)}' is not a valid Orthority RPC file: {str(ex)}." ) rpc_param_dict[filename] = dict( cam_type=CameraType.rpc, im_size=tuple(rpc_param['im_size']), rpc=rpc_param['rpc'] @@ -426,8 +426,8 @@ def _read_im_gcps( file: str | PathLike | OpenFile | rio.DatasetReader, ) -> dict[str, dict[str, Any]]: """Read GCPs from an image file.""" - filename = utils.get_filename(file) - with utils.suppress_no_georef(), rio.Env(GDAL_NUM_THREADS='ALL_CPUS'), utils.OpenRaster( + filename = common.get_filename(file) + with common.suppress_no_georef(), rio.Env(GDAL_NUM_THREADS='ALL_CPUS'), common.OpenRaster( file, 'r' ) as im: gcps, crs = im.gcps @@ -480,7 +480,7 @@ def read_oty_gcps(file: str | PathLike | OpenFile | IO[str]) -> dict[str, list[d File to read. Can be a path or URI string, an :class:`~fsspec.core.OpenFile` object or a file object, opened in text mode (``'rt'``). """ - with utils.Open(file, 'rt') as f: + with common.Open(file, 'rt') as f: json_dict = json.load(f) # validate file format @@ -496,9 +496,9 @@ def read_oty_gcps(file: str | PathLike | OpenFile | IO[str]) -> dict[str, list[d ], ) - filename = utils.get_filename(file) + filename = common.get_filename(file) try: - utils.validate_collection(schema, json_dict) + common.validate_collection(schema, json_dict) except (ValueError, TypeError, KeyError) as ex: raise ParamError(f"'{filename}' is not a valid Orthority GCP file: {str(ex)}.") @@ -544,7 +544,7 @@ def write_int_param( yaml_param.update(**{k: v for k, v in int_param.items() if k != 'cam_type'}) yaml_dict[cam_id] = yaml_param - with utils.Open(file, 'wt', overwrite=overwrite) as f: + with common.Open(file, 'wt', overwrite=overwrite) as f: yaml.safe_dump(yaml_dict, f, sort_keys=False, indent=4, default_flow_style=None) @@ -592,7 +592,7 @@ def write_ext_param( json_dict = dict(type='FeatureCollection', world_crs=crs.to_string(), features=feat_list) - with utils.Open(file, 'wt', overwrite=overwrite) as f: + with common.Open(file, 'wt', overwrite=overwrite) as f: json.dump(json_dict, f, indent=4) @@ -617,7 +617,7 @@ def write_rpc_param( for filename, rpm_param in rpc_param_dict.items(): yaml_dict[filename] = {k: v for k, v in rpm_param.items() if k != 'cam_type'} - with utils.Open(file, 'wt', overwrite=overwrite) as f: + with common.Open(file, 'wt', overwrite=overwrite) as f: yaml.safe_dump(yaml_dict, f, sort_keys=False, indent=4, default_flow_style=None) @@ -647,7 +647,7 @@ def write_gcps( json_dict = dict(type='FeatureCollection', features=feat_list) - with utils.Open(file, 'wt', overwrite=overwrite) as f: + with common.Open(file, 'wt', overwrite=overwrite) as f: json.dump(json_dict, f, indent=4) @@ -912,7 +912,7 @@ def __init__( # read file once into a buffer (newline=None works around some delimiter detection problems # with newline='') - with utils.Open(self._ofile or file, 'rt', newline=None) as f: + with common.Open(self._ofile or file, 'rt', newline=None) as f: self._buffer = StringIO(f.read()) self._fieldnames, self._dialect, self._has_header, self._format = self._parse_file( @@ -998,12 +998,12 @@ def _find_lla_rpy_crs(self) -> CRS: latlons.append(latlon) mean_latlon = np.array(latlons).mean(axis=0) - return utils.utm_crs_from_latlon(*mean_latlon) + return common.utm_crs_from_latlon(*mean_latlon) def _get_crs(self) -> CRS: """Read / auto-determine and validate a CRS when no user CRS was supplied.""" crs = None - filename = utils.get_filename(self._file) + filename = common.get_filename(self._file) if self._format is CsvFormat.xyz_opk or self._format is CsvFormat.xyz_rpy: if self._ofile: # read CRS of xyz positions / opk orientations from .prj file, if it exists @@ -1121,7 +1121,7 @@ def __init__( @staticmethod def _read_json_dict(file: str | PathLike | OpenFile | IO[str]) -> dict[str, dict]: """Read and validate the reconstruction JSON file.""" - with utils.Open(file, 'rt') as f: + with common.Open(file, 'rt') as f: json_data = json.load(f) schema = [ @@ -1132,10 +1132,10 @@ def _read_json_dict(file: str | PathLike | OpenFile | IO[str]) -> dict[str, dict ) ] try: - utils.validate_collection(schema, json_data) + common.validate_collection(schema, json_data) except (ValueError, TypeError, KeyError) as ex: raise ParamError( - f"'{utils.get_filename(file)}' is not a valid OpenSfM reconstruction file: " + f"'{common.get_filename(file)}' is not a valid OpenSfM reconstruction file: " f"{str(ex)}." ) @@ -1148,7 +1148,7 @@ def _find_utm_crs(self) -> CRS: """Return a UTM CRS that covers the reconstruction reference point.""" ref_lla = self._json_dict['reference_lla'] ref_lla = (ref_lla['latitude'], ref_lla['longitude'], ref_lla['altitude']) - return utils.utm_crs_from_latlon(*ref_lla[:2]) + return common.utm_crs_from_latlon(*ref_lla[:2]) def read_int_param(self) -> dict[str, dict[str, Any]]: """Read interior camera parameters.""" @@ -1256,7 +1256,7 @@ def _find_utm_crs(self) -> CRS: llas.append(e.lla) mean_latlon = np.array(llas)[:, :2].mean(axis=0) - return utils.utm_crs_from_latlon(*mean_latlon) + return common.utm_crs_from_latlon(*mean_latlon) # return CRS.from_proj4(f'+proj=ortho +lat_0={mean_latlon[0]} +lon_0={mean_latlon[1]}' def read_int_param(self) -> dict[str, dict[str, Any]]: @@ -1293,7 +1293,7 @@ def __init__(self, file: str | PathLike | OpenFile | IO[str], **kwargs) -> None: @staticmethod def _read_json_dict(file: str | PathLike | OpenFile | IO[str], crs: CRS) -> tuple[CRS, dict]: """Read and validate the GeoJSON file.""" - with utils.Open(file, 'rt') as f: + with common.Open(file, 'rt') as f: json_dict = json.load(f) schema = dict( @@ -1308,9 +1308,9 @@ def _read_json_dict(file: str | PathLike | OpenFile | IO[str], crs: CRS) -> tupl ], ) - filename = utils.get_filename(file) + filename = common.get_filename(file) try: - utils.validate_collection(schema, json_dict) + common.validate_collection(schema, json_dict) except (ValueError, TypeError, KeyError) as ex: raise ParamError( f"'{filename}' is not a valid GeoJSON exterior parameter file: {str(ex)}." diff --git a/pyproject.toml b/pyproject.toml index 5c166a4..add8379 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -55,5 +55,5 @@ line-length = 100 skip-string-normalization = true [tool.ruff] -line-length = 120 +line-length = 100 format = { quote-style = 'preserve' } diff --git a/tests/data/create_test_data.py b/tests/data/create_test_data.py index 119c430..4632a2d 100644 --- a/tests/data/create_test_data.py +++ b/tests/data/create_test_data.py @@ -14,8 +14,8 @@ from rasterio.warp import reproject, transform_bounds from orthority import param_io +from orthority.common import expand_window_to_grid from orthority.exif import Exif -from orthority.utils import expand_window_to_grid ngi_src_root = Path('V:/Data/SimpleOrthoEgs/NGI_3324C_2015_Baviaans/') ngi_test_root = Path('C:/Data/Development/Projects/orthority/tests/data/ngi') diff --git a/tests/test_camera.py b/tests/test_camera.py index 6364b74..4f1c8e5 100644 --- a/tests/test_camera.py +++ b/tests/test_camera.py @@ -24,9 +24,15 @@ import rasterio as rio from rasterio.transform import from_bounds -from orthority import utils +from orthority import common from orthority.camera import ( - BrownCamera, Camera, create_camera, FisheyeCamera, FrameCamera, OpenCVCamera, PinholeCamera, + BrownCamera, + Camera, + create_camera, + FisheyeCamera, + FrameCamera, + OpenCVCamera, + PinholeCamera, RpcCamera, ) from orthority.enums import CameraType, Interp @@ -925,7 +931,7 @@ def test_frame_undistort(camera: str, request: pytest.FixtureRequest): im_array = np.expand_dims(checkerboard(camera.im_size[::-1]), axis=0) # distort then undistort - dist_array = utils.distort_image(camera, im_array, nodata=nodata, interp=interp) + dist_array = common.distort_image(camera, im_array, nodata=nodata, interp=interp) undist_array = camera._undistort_im(dist_array, nodata=nodata, interp=interp) # test similarity of source and distorted-undistorted images @@ -1001,9 +1007,9 @@ def test_frame_read_undistort( assert test_array.dtype == ref_array.dtype == dtype # compare to reference - test_mask = utils.nan_equals(test_array, nodata) + test_mask = common.nan_equals(test_array, nodata) assert np.any(test_mask) - assert np.all(utils.nan_equals(test_array, ref_array)) + assert np.all(common.nan_equals(test_array, ref_array)) @pytest.mark.parametrize( @@ -1037,7 +1043,7 @@ def test_remap( # mask, dtype and shape tests assert np.any(remap_mask) - assert np.all(remap_mask == np.all(utils.nan_equals(remap_array, nodata), axis=0)) + assert np.all(remap_mask == np.all(common.nan_equals(remap_array, nodata), axis=0)) assert remap_array.dtype == dtype assert remap_array.ndim == 3 assert remap_array.shape[0] == im_array.shape[0] @@ -1093,7 +1099,7 @@ def test_frame_remap_mask_dilation( # test_mask, dtype and shape tests assert np.any(test_mask) - assert np.all(test_mask == np.all(utils.nan_equals(test_array, nodata), axis=0)) + assert np.all(test_mask == np.all(common.nan_equals(test_array, nodata), axis=0)) assert test_array.dtype == dtype assert test_array.ndim == 3 assert test_array.shape[0] == im_array.shape[0] diff --git a/tests/test_utils.py b/tests/test_common.py similarity index 90% rename from tests/test_utils.py rename to tests/test_common.py index 6e0c31b..c9dd76c 100644 --- a/tests/test_utils.py +++ b/tests/test_common.py @@ -25,7 +25,7 @@ import rasterio as rio from rasterio.enums import ColorInterp -from orthority import utils +from orthority import common from orthority.enums import Compress from tests.conftest import checkerboard, create_profile @@ -35,13 +35,13 @@ def test_get_filename(file: str, request: pytest.FixtureRequest): """Test get_filename() returns with different ``file`` objects.""" file = request.getfixturevalue(file) exp_val = Path(file).name - assert utils.get_filename(file) == exp_val + assert common.get_filename(file) == exp_val ofile = fsspec.open(file, 'rb') - assert utils.get_filename(ofile) == exp_val - with utils.Open(file, 'rb') as f: - assert utils.get_filename(f) == exp_val - with utils.OpenRaster(file, 'r') as f: - assert utils.get_filename(f) == exp_val + assert common.get_filename(ofile) == exp_val + with common.Open(file, 'rb') as f: + assert common.get_filename(f) == exp_val + with common.OpenRaster(file, 'r') as f: + assert common.get_filename(f) == exp_val @pytest.mark.parametrize('file', ['odm_image_file', 'odm_image_url']) @@ -61,7 +61,7 @@ def test_join_ofile(file: str, request: pytest.FixtureRequest): rel_path = '/'.join(parts[-pidx:]) for base_path in map(path_type, [_base_path, _base_path + '/']): - join_ofile = utils.join_ofile(base_path, rel_path) + join_ofile = common.join_ofile(base_path, rel_path) assert isinstance(join_ofile, fsspec.core.OpenFile) assert join_ofile.path == ofile.path assert join_ofile.fs.exists(join_ofile.path) @@ -74,7 +74,7 @@ def test_open_raster_read(raster_file: str, request: pytest.FixtureRequest): def _test_open_raster_read(_raster_file, test_closed: bool = True): """Test OpenRaster for the given ``_raster_file`` object.""" - with utils.OpenRaster(_raster_file, 'r') as _ds: + with common.OpenRaster(_raster_file, 'r') as _ds: assert isinstance(_ds, rio.DatasetReader) assert not _ds.closed assert _ds.filename == Path(raster_file).name @@ -84,7 +84,7 @@ def _test_open_raster_read(_raster_file, test_closed: bool = True): _test_open_raster_read(raster_file) _test_open_raster_read(fsspec.open(raster_file, 'rb')) - with utils.OpenRaster(raster_file, 'r') as ds: + with common.OpenRaster(raster_file, 'r') as ds: _test_open_raster_read(ds, test_closed=False) assert ds.closed @@ -107,7 +107,7 @@ def _test_temp_file(filename: Path): def _test_open_raster_write(_raster_file, test_closed: bool = True): """Test OpenRaster for the given ``_raster_file`` object.""" - with utils.OpenRaster(_raster_file, 'w', **profile) as _ds: + with common.OpenRaster(_raster_file, 'w', **profile) as _ds: assert isinstance(_ds, rio.io.DatasetWriter) assert not _ds.closed assert _ds.filename == Path(raster_file).name @@ -120,7 +120,7 @@ def _test_open_raster_write(_raster_file, test_closed: bool = True): with _test_temp_file(raster_file): _test_open_raster_write(fsspec.open(str(raster_file), 'wb')) with _test_temp_file(raster_file): - with utils.OpenRaster(raster_file, 'w', **profile) as ds: + with common.OpenRaster(raster_file, 'w', **profile) as ds: _test_open_raster_write(ds, test_closed=False) assert ds.closed @@ -134,7 +134,7 @@ def test_open_raster_overwrite(tmp_path: Path): raster_file.touch() def _test_open_raster_overwrite(_raster_file, overwrite: bool): - with utils.OpenRaster(_raster_file, 'w', overwrite=overwrite, **profile) as _ds: + with common.OpenRaster(_raster_file, 'w', overwrite=overwrite, **profile) as _ds: _ds.write(array, indexes=1) # test overwriting an existing file with overwrite=True @@ -157,11 +157,11 @@ def _test_open_raster_overwrite(_raster_file, overwrite: bool): def test_open_raster_not_found_error(raster_file: str): """Test OpenRaster raises a FileNotFoundError error with non-existing file path / URIs.""" with pytest.raises(FileNotFoundError): - with utils.OpenRaster(raster_file, 'r'): + with common.OpenRaster(raster_file, 'r'): pass ofile = fsspec.open(raster_file, 'rb') with pytest.raises(FileNotFoundError): - with utils.OpenRaster(ofile, 'r'): + with common.OpenRaster(ofile, 'r'): pass @@ -178,7 +178,7 @@ def test_open_read(file: str, kwargs: dict, request: pytest.FixtureRequest): def _test_open_read(_file, test_closed: bool = True, **kwargs): """Test Open for the given ``_file`` object.""" - with utils.Open(_file, 'rt', **kwargs) as _f: + with common.Open(_file, 'rt', **kwargs) as _f: assert isinstance(_f, TextIOWrapper) assert not _f.closed assert _f.filename == Path(file).name @@ -188,7 +188,7 @@ def _test_open_read(_file, test_closed: bool = True, **kwargs): _test_open_read(file) _test_open_read(fsspec.open(file, 'rt')) - with utils.Open(file, 'rt', **kwargs) as f: + with common.Open(file, 'rt', **kwargs) as f: _test_open_read(f, test_closed=False, **kwargs) assert f.closed @@ -209,7 +209,7 @@ def _test_temp_file(filename: Path): def _test_open_write(_file, test_closed: bool = True, **kwargs): """Test Open for the given ``_file`` object.""" - with utils.Open(_file, 'wt', **kwargs) as _f: + with common.Open(_file, 'wt', **kwargs) as _f: assert isinstance(_f, TextIOWrapper) assert not _f.closed assert _f.filename == Path(file).name @@ -223,7 +223,7 @@ def _test_open_write(_file, test_closed: bool = True, **kwargs): with _test_temp_file(file): _test_open_write(fsspec.open(str(file), 'wt'), **kwargs) with _test_temp_file(file): - with utils.Open(file, 'wt', **kwargs) as f: + with common.Open(file, 'wt', **kwargs) as f: _test_open_write(f, test_closed=False, **kwargs) assert f.closed @@ -234,7 +234,7 @@ def test_open_overwrite(tmp_path: Path): file.touch() def _test_open_overwrite(_file, overwrite: bool): - with utils.Open(_file, 'wt', overwrite=overwrite) as _f: + with common.Open(_file, 'wt', overwrite=overwrite) as _f: _f.write('test') # test overwriting an existing file with overwrite=True @@ -257,17 +257,17 @@ def _test_open_overwrite(_file, overwrite: bool): def test_open_not_found_error(file: str): """Test Open raises a FileNotFoundError error with non-existing file path / URIs.""" with pytest.raises(FileNotFoundError): - with utils.Open(file, 'rt'): + with common.Open(file, 'rt'): pass ofile = fsspec.open(file, 'rt') with pytest.raises(FileNotFoundError): - with utils.Open(ofile, 'rt'): + with common.Open(ofile, 'rt'): pass def test_create_profile_non_config_items(): """Test create_profile() non-configurable items.""" - profile, write_mask = utils.create_profile(dtype='uint8') + profile, write_mask = common.create_profile(dtype='uint8') exp_profile = { 'driver': 'GTiff', @@ -293,7 +293,7 @@ def test_create_profile_non_config_items(): ) def test_create_profile_compress(dtype: str, compress: str, exp_value: str): """Test create_profile() ``compress`` configuration.""" - profile, write_mask = utils.create_profile(dtype=dtype, compress=compress) + profile, write_mask = common.create_profile(dtype=dtype, compress=compress) assert profile['dtype'] == dtype assert profile['compress'] == exp_value @@ -322,7 +322,7 @@ def test_create_profile_interleave_photometric( compress: str, colorinterp: list[ColorInterp], exp_values: tuple ): """Test create_profile() ``interleave`` / ``photometric`` configuration.""" - profile, write_mask = utils.create_profile( + profile, write_mask = common.create_profile( dtype='uint8', compress=compress, colorinterp=colorinterp ) @@ -336,7 +336,7 @@ def test_create_profile_12bit_jpeg(): """Test create_profile() correctly configures a 12bit jpeg profile.""" # Note: depending on how rasterio is built, it may or may not support reading/writing 12 bit # jpeg compression. This test just checks the profile is correct. - profile, write_mask = utils.create_profile(dtype='uint16', compress=Compress.jpeg) + profile, write_mask = common.create_profile(dtype='uint16', compress=Compress.jpeg) assert write_mask assert profile['dtype'] == 'uint16' @@ -365,13 +365,13 @@ def test_create_profile_12bit_jpeg(): ) def test_create_profile_write_mask_nodata(dtype: str, write_mask: bool | None, exp_values: tuple): """Test create_profile() correctly sets ``write_mask`` and ``nodata``.""" - profile, write_mask = utils.create_profile(dtype=dtype, write_mask=write_mask) + profile, write_mask = common.create_profile(dtype=dtype, write_mask=write_mask) assert write_mask is exp_values[0] if profile['nodata'] is None or exp_values[1] is None: assert profile['nodata'] is None and exp_values[1] is None else: - assert utils.nan_equals(profile['nodata'], exp_values[1]) + assert common.nan_equals(profile['nodata'], exp_values[1]) @pytest.mark.parametrize( @@ -402,7 +402,7 @@ def test_convert_array_dtype(src_dtype: str, dst_dtype: str): ) # convert to dtype - test_array = utils.convert_array_dtype(array, dst_dtype) + test_array = common.convert_array_dtype(array, dst_dtype) # create rounded & clipped array to test against ref_array = array @@ -431,7 +431,7 @@ def test_build_overviews(): with rio.open(buf, 'w', driver='GTiff', **profile) as im: im.write(array) # build overviews - utils.build_overviews(im) + common.build_overviews(im) with rio.open(buf, 'r') as im: assert len(im.overviews(1)) > 0 diff --git a/tests/test_ortho.py b/tests/test_ortho.py index 83d8616..9889627 100644 --- a/tests/test_ortho.py +++ b/tests/test_ortho.py @@ -32,9 +32,9 @@ from orthority import errors, param_io from orthority.camera import Camera, create_camera, PinholeCamera +from orthority.common import nan_equals from orthority.enums import CameraType, Compress, Interp from orthority.ortho import Ortho -from orthority.utils import nan_equals from tests.conftest import _dem_resolution logger = logging.getLogger(__name__) From e0860c1d7d4955c45109661c5da81a015b21326e Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Fri, 26 Jul 2024 12:17:07 +0200 Subject: [PATCH 25/93] refactor utils.py -> common.py - simplify progress bars - share common configuration --- orthority/camera.py | 13 +++----- orthority/cli.py | 69 +++++++++++------------------------------- orthority/common.py | 30 +++++++++++++----- orthority/ortho.py | 68 ++++++++++++----------------------------- orthority/pan_sharp.py | 39 ++++++++++++------------ orthority/param_io.py | 37 ++++++++-------------- tests/test_ortho.py | 12 +++++--- 7 files changed, 101 insertions(+), 167 deletions(-) diff --git a/orthority/camera.py b/orthority/camera.py index a4278e5..0d2d5ad 100644 --- a/orthority/camera.py +++ b/orthority/camera.py @@ -83,11 +83,6 @@ def _validate_z(z: np.ndarray, ji: np.ndarray) -> None: f"'z' should be a single value or 1-by-N array where 'ji' is 2-by-N or 2-by-1." ) - @staticmethod - def _get_dtype_nodata(dtype: str) -> float | int: - """Return a sensible nodata value for the given ``dtype``.""" - return np.nan if np.issubdtype(dtype, np.floating) else np.iinfo(dtype).min - def _validate_image(self, im_array: np.ndarray) -> None: """Utility function to validate an image dtype and dimensions for remapping.""" if str(im_array.dtype) not in Camera._valid_dtypes: @@ -366,7 +361,7 @@ def remap( if not np.issubdtype(z.dtype, np.floating): raise ValueError("'z' should have 'float64' or 'float32' data type.") if nodata is None: - nodata = self._get_dtype_nodata(im_array.dtype) + nodata = common._nodata_vals[im_array.dtype] # find (j, i) image pixel coords corresponding to (x, y, z) world coords ji = self.world_to_pixel(np.array((x.reshape(-1), y.reshape(-1), z.reshape(-1)))) @@ -923,7 +918,7 @@ def _undistort_im( # does not support 3D images with >4 bands, and is slower on a re-ordered 3D image than # in a loop over bands) if nodata is None: - nodata = self._get_dtype_nodata(im_array.dtype) + nodata = common._nodata_vals[im_array.dtype] und_array = np.full(im_array.shape, dtype=im_array.dtype, fill_value=nodata) for bi in range(im_array.shape[0]): @@ -1050,7 +1045,7 @@ def read( if not self._distort: if nodata is None: - nodata = self._get_dtype_nodata(image.dtype) + nodata = common._nodata_vals[image.dtype] image = self._undistort_im(image, nodata=nodata, interp=interp) return image @@ -1108,7 +1103,7 @@ def remap( mask = cv2.dilate(mask.view(np.uint8), kernel).view(bool) if nodata is None: - nodata = self._get_dtype_nodata(image.dtype) + nodata = common._nodata_vals[image.dtype] remap[:, mask] = nodata return remap, mask diff --git a/orthority/cli.py b/orthority/cli.py index 840e492..6b514dd 100644 --- a/orthority/cli.py +++ b/orthority/cli.py @@ -18,7 +18,6 @@ import csv import logging import re -import shutil import warnings from pathlib import Path from urllib.parse import urlparse @@ -263,20 +262,6 @@ def _gcp_refine_cb( return _text_file_cb(ctx, param, path_uri) if path_uri != 'tags' else path_uri -def _get_bar_format(units: str = 'files', desc_width: int = 0, units_width: int = None) -> str: - """Return a ``tqdm`` ``bar_format`` for the given arguments.""" - # pad or truncate desc to desc_width - lbar = f"{{desc:<{desc_width}.{desc_width}}}:" + "{percentage:3.0f}%|" - rbar = '|{n_fmt}/{total_fmt} ' + units + ' [{elapsed}<{remaining}]' - # find a bar width that gives enough space for rhs stats with 3 digit n_fmt / total_fmt and - # elapsed / remaining as hh:mm:ss - if not units_width: - units_width = len(units) - bar_width = max(shutil.get_terminal_size()[0] - (desc_width + 6 + (10 + units_width + 20)), 10) - bar = f"{{bar:{bar_width}}}" - return lbar + bar + rbar - - def _ortho( src_files: list[OpenFile], dem_file: OpenFile, @@ -308,13 +293,6 @@ def _ortho( elif not dem_file: raise click.MissingParameter(param_hint="'-d' / '--dem'", param_type='option') - # set up progress bar formats - src_name_lens = [len(Path(src_file.path).name) for src_file in src_files] - desc_width = min(max(src_name_lens), 40) - # units_width = max(len('files'), len('blocks')) - outer_bar_format = _get_bar_format(units='files', desc_width=desc_width, units_width=6) - inner_bar_format = _get_bar_format(units='blocks', desc_width=desc_width, units_width=6) - # open & validate dem_file (open it once here so it is not opened repeatedly in # orthorectification below) try: @@ -331,11 +309,7 @@ def _ortho( param_hint="'-db' / '--dem-band'", ) - for src_file in tqdm(src_files, desc='Total', bar_format=outer_bar_format): - # set up progress bar args for the current src_file - src_file_path = Path(src_file.path) - tqdm_kwargs = dict(desc=src_file_path.name, leave=False, bar_format=inner_bar_format) - + for src_file in tqdm(src_files, **common.get_tqdm_kwargs(desc='Total', unit='files')): # create camera for src_file try: camera = cameras.get(src_file) @@ -356,6 +330,10 @@ def _ortho( # orthorectify ortho = Ortho(src_im, dem_im, camera, crs, dem_band=dem_band) + src_file_path = Path(src_file.path) + tqdm_kwargs = common.get_tqdm_kwargs( + desc=src_file_path.name, unit='blocks', leave=False + ) ortho_ofile = common.join_ofile( out_dir, f'{src_file_path.stem}_ORTHO.tif', mode='wb' ) @@ -447,7 +425,7 @@ def _ortho( '--dem-band', type=click.INT, nargs=1, - default=Ortho._default_config['dem_band'], + default=Ortho._default_alg_config['dem_band'], show_default=True, help='Index of the DEM band to use (1 based).', ) @@ -455,7 +433,7 @@ def _ortho( '-i', '--interp', type=click.Choice(Interp, case_sensitive=False), - default=Ortho._default_config['interp'], + default=Ortho._default_alg_config['interp'], show_default=True, help=f'Interpolation method for remapping source to ortho image.', ) @@ -463,7 +441,7 @@ def _ortho( '-di', '--dem-interp', type=click.Choice(Interp, case_sensitive=False), - default=Ortho._default_config['dem_interp'], + default=Ortho._default_alg_config['dem_interp'], show_default=True, help=f'Interpolation method for DEM reprojection.', ) @@ -471,7 +449,7 @@ def _ortho( '-pb/-npb', '--per-band/--no-per-band', type=click.BOOL, - default=Ortho._default_config['per_band'], + default=Ortho._default_alg_config['per_band'], show_default=True, help='Orthorectify band-by-band (``--per-band``) or all bands at once (``--no-per-band``). ' '``--no-per-band`` is faster but uses more memory.', @@ -501,7 +479,7 @@ def _ortho( '-wm/-nwm', '--write-mask/--no-write-mask', type=click.BOOL, - default=Ortho._default_config['write_mask'], + default=common._default_out_config['write_mask'], show_default='true for jpeg compression.', help='Mask valid pixels with an internal mask (``--write-mask``), or with a nodata value ' 'based on ``--dtype`` (``--no-write-mask``). An internal mask helps remove nodata noise ' @@ -510,8 +488,8 @@ def _ortho( dtype_option = click.option( '-dt', '--dtype', - type=click.Choice(list(Ortho._nodata_vals.keys()), case_sensitive=False), - default=Ortho._default_config['dtype'], + type=click.Choice(list(common._nodata_vals.keys()), case_sensitive=False), + default=common._default_out_config['dtype'], show_default='source image data type.', help=f'Ortho image data type.', ) @@ -519,7 +497,7 @@ def _ortho( '-cm', '--compress', type=click.Choice(Compress, case_sensitive=False), - default=Ortho._default_config['compress'], + default=common._default_out_config['compress'], show_default="jpeg for uint8 --dtype, deflate otherwise", help=f'Ortho image compression.', ) @@ -722,9 +700,7 @@ def exif( can be changed with :option:`--out-dir `. """ # set up progress bar args - desc = 'Reading parameters' - bar_format = _get_bar_format(units='files', desc_width=len(desc)) - tqdm_kwargs = dict(desc=desc, bar_format=bar_format, leave=False) + tqdm_kwargs = common.get_tqdm_kwargs(desc='Reading parameters', unit='files', leave=False) # create camera factory try: @@ -962,9 +938,7 @@ def rpc( raise click.BadParameter(str(ex), param_hint="'-rp' / '--rpc-param'") else: # set up progress bar args - desc = 'Reading parameters' - bar_format = _get_bar_format(units='files', desc_width=len(desc)) - tqdm_kwargs = dict(desc=desc, bar_format=bar_format, leave=False) + tqdm_kwargs = common.get_tqdm_kwargs(desc='Reading parameters', unit='files', leave=False) # create camera factory from image tags / sidecar file(s) try: @@ -979,21 +953,14 @@ def rpc( ref_kwargs = dict(method=refine_method) if gcp_refine == 'tags': # set up progress bar args - desc = 'Reading GCPs' - bar_format = _get_bar_format(units='files', desc_width=len(desc)) - tqdm_kwargs = dict(desc=desc, bar_format=bar_format, leave=False) + tqdm_kwargs = common.get_tqdm_kwargs(desc='Reading GCPs', unit='files', leave=False) cameras.refine(src_files, io_kwargs=dict(progress=tqdm_kwargs), ref_kwargs=ref_kwargs) else: cameras.refine(gcp_refine, ref_kwargs=ref_kwargs) # orthorectify - _ortho( - src_files=src_files, - cameras=cameras, - crs=crs, - **kwargs, - ) + _ortho(src_files=src_files, cameras=cameras, crs=crs, **kwargs) def _simple_ortho( @@ -1080,7 +1047,7 @@ def check_args(src_im_file, dem_file, pos_ori_file, ortho_dir=None): # prepare ortho config ortho_config = config.get('ortho', {}) crs = ortho_config.pop('crs', None) - dem_band = ortho_config.pop('dem_band', Ortho._default_config['dem_band']) + dem_band = ortho_config.pop('dem_band', Ortho._default_alg_config['dem_band']) for key in ['driver', 'tile_size', 'nodata', 'interleave', 'photometric']: if key in ortho_config: ortho_config.pop(key) diff --git a/orthority/common.py b/orthority/common.py index 9ef28d6..ec28c39 100644 --- a/orthority/common.py +++ b/orthority/common.py @@ -53,6 +53,18 @@ logger = logging.getLogger(__name__) +_nodata_vals = dict( + uint8=0, uint16=0, int16=np.iinfo('int16').min, float32=float('nan'), float64=float('nan') +) +"""Nodata values for supported dtypes. OpenCV remap doesn't support int8 or uint32, +and only supports int32, uint64, int64 with nearest interpolation, so these dtypes are excluded. +""" + +_default_out_config = dict( + write_mask=None, dtype=None, compress=None, build_ovw=True, overwrite=False +) +"""Default configuration values for output images.""" + @contextmanager def suppress_no_georef(): @@ -375,18 +387,12 @@ def create_profile( dimension profile items are not set i.e. ``crs``, ``transform``, ``width``, ``height`` & ``count``. """ - # nodata values for supported data types (OpenCV remap doesn't support int8 or uint32, - # and only supports int32, uint64, int64 with nearest interp so these dtypes are - # excluded). - nodata_vals = dict( - uint8=0, uint16=0, int16=np.iinfo('int16').min, float32=float('nan'), float64=float('nan') - ) colorinterp = colorinterp or [] profile = {} # check dtype support dtype = str(dtype) - if dtype not in nodata_vals: + if dtype not in _nodata_vals: raise ValueError(f"Data type '{dtype}' is not supported.") # configure compression @@ -421,7 +427,7 @@ def create_profile( # set nodata to None when writing internal masks to force external tools to use mask, # otherwise set by dtype - nodata = None if write_mask else nodata_vals[dtype] + nodata = None if write_mask else _nodata_vals[dtype] # create profile profile.update( @@ -493,3 +499,11 @@ def build_overviews( num_ovw_levels = np.min([max_num_levels, max_ovw_levels - min_level_shape_pow2]) ovw_levels = [2**m for m in range(1, num_ovw_levels + 1)] im.build_overviews(ovw_levels, Resampling.average) + + +def get_tqdm_kwargs(**kwargs) -> dict: + """Return a dictionary of ``tqdm`` progress bar kwargs with a standard ``bar_format``.""" + return dict( + bar_format='{l_bar}{bar}|{n_fmt}/{total_fmt} {unit} [{elapsed}<{remaining}]', + **kwargs, + ) diff --git a/orthority/ortho.py b/orthority/ortho.py index dd49d02..8b26c98 100644 --- a/orthority/ortho.py +++ b/orthority/ortho.py @@ -69,23 +69,11 @@ class Ortho: Index of the DEM band to use (1-based). """ - # default configuration values for Ortho.process() - _default_config = dict( - dem_band=1, - resolution=None, - interp=Interp.cubic, - dem_interp=Interp.cubic, - per_band=False, - write_mask=None, - dtype=None, - compress=None, - build_ovw=True, - overwrite=False, + # default algorithm configuration values for Ortho.process() + _default_alg_config = dict( + dem_band=1, resolution=None, interp=Interp.cubic, dem_interp=Interp.cubic, per_band=False ) - # default ortho (x, y) block size - _default_blocksize = (512, 512) - # EGM96/EGM2008 geoid altitude range i.e. minimum and maximum possible vertical difference with # the WGS84 ellipsoid (meters) _egm_minmax = [-106.71, 82.28] @@ -93,22 +81,6 @@ class Ortho: # Maximum possible ellipsoidal height i.e. approx. that of Everest (meters) _z_max = 8850.0 - # nodata values for supported ortho data types - _nodata_vals = dict( - uint8=0, - uint16=0, - int16=np.iinfo('int16').min, - float32=float('nan'), - float64=float('nan'), - ) - - # default progress bar kwargs - _default_tqdm_kwargs = dict( - bar_format='{l_bar}{bar}|{n_fmt}/{total_fmt} blocks [{elapsed}<{remaining}]', - dynamic_ncols=True, - leave=True, - ) - def __init__( self, src_file: str | PathLike | OpenFile | rio.DatasetReader, @@ -381,7 +353,7 @@ def _remap_tile( """Thread safe method to map the source image to an ortho tile. Returns the tile array and mask. """ - dtype_nodata = self._nodata_vals[ortho_im.profile['dtype']] + dtype_nodata = common._nodata_vals[ortho_im.profile['dtype']] # offset init grids to tile_win tile_transform = rio.windows.transform(tile_win, ortho_im.profile['transform']) @@ -443,8 +415,8 @@ def _remap( # integer pixel coords refer to pixel centers, so the (x, y) coords are offset by half a # pixel to account for this. - j_range = np.arange(0, Ortho._default_blocksize[0]) - i_range = np.arange(0, Ortho._default_blocksize[1]) + j_range = np.arange(0, ortho_im.profile.get('blockysize', 512)) + i_range = np.arange(0, ortho_im.profile.get('blockxsize', 512)) init_jgrid, init_igrid = np.meshgrid(j_range, i_range, indexing='xy') center_transform = ortho_im.profile['transform'] * rio.Affine.translation(0.5, 0.5) init_xgrid, init_ygrid = center_transform * [init_jgrid, init_igrid] @@ -467,7 +439,7 @@ def _remap( for indexes in index_list: # read source, and optionally undistort, image band(s) (ortho dtype is # required for cv2.remap() to set invalid ortho areas to ortho nodata value) - dtype_nodata = self._nodata_vals[ortho_im.profile['dtype']] + dtype_nodata = common._nodata_vals[ortho_im.profile['dtype']] src_array = self._camera.read( src_im, indexes=indexes, @@ -502,15 +474,15 @@ def _remap( def process( self, ortho_file: str | PathLike | OpenFile, - resolution: tuple[float, float] = _default_config['resolution'], - interp: str | Interp = _default_config['interp'], - dem_interp: str | Interp = _default_config['dem_interp'], - per_band: bool = _default_config['per_band'], - write_mask: bool | None = _default_config['write_mask'], - dtype: str = _default_config['dtype'], - compress: str | Compress | None = _default_config['compress'], - build_ovw: bool = _default_config['build_ovw'], - overwrite: bool = _default_config['overwrite'], + resolution: tuple[float, float] = _default_alg_config['resolution'], + interp: str | Interp = _default_alg_config['interp'], + dem_interp: str | Interp = _default_alg_config['dem_interp'], + per_band: bool = _default_alg_config['per_band'], + write_mask: bool | None = common._default_out_config['write_mask'], + dtype: str = common._default_out_config['dtype'], + compress: str | Compress | None = common._default_out_config['compress'], + build_ovw: bool = common._default_out_config['build_ovw'], + overwrite: bool = common._default_out_config['overwrite'], progress: bool | dict = False, ) -> None: """ @@ -566,12 +538,10 @@ def process( with exit_stack: # create the progress bar if progress is True: - progress = tqdm(**Ortho._default_tqdm_kwargs) + progress = common.get_tqdm_kwargs(unit='blocks') elif progress is False: - progress = tqdm(disable=True, leave=False) - else: - progress = tqdm(**progress) - progress = exit_stack.enter_context(progress) + progress = dict(disable=True, leave=False) + progress = exit_stack.enter_context(tqdm(**progress)) # exit_stack.enter_context(common.profiler()) # run common.profiler in DEBUG log level # use the GSD for auto resolution if resolution not provided diff --git a/orthority/pan_sharp.py b/orthority/pan_sharp.py index 74d56e6..5f92a20 100644 --- a/orthority/pan_sharp.py +++ b/orthority/pan_sharp.py @@ -37,13 +37,14 @@ from orthority import common from orthority.enums import Compress, Interp from orthority.errors import OrthorityWarning -from orthority.ortho import Ortho logger = logging.getLogger(__name__) class PanSharpen: _working_dtype = 'float32' + # default algorithm configuration values for PanSharpen.process() + _default_alg_config = dict(interp=Interp.cubic) def __init__( self, @@ -421,30 +422,28 @@ def process( out_file: str | PathLike | OpenFile, indexes: Sequence[int] = None, weights: bool | Sequence[float] = None, - interp: str | Interp = Ortho._default_config['interp'], - write_mask: bool | None = Ortho._default_config['write_mask'], - dtype: str = Ortho._default_config['dtype'], - compress: str | Compress | None = Ortho._default_config['compress'], - build_ovw: bool = Ortho._default_config['build_ovw'], - overwrite: bool = Ortho._default_config['overwrite'], - progress: bool | dict = False, + interp: str | Interp = _default_alg_config['interp'], + write_mask: bool | None = common._default_out_config['write_mask'], + dtype: str = common._default_out_config['dtype'], + compress: str | Compress | None = common._default_out_config['compress'], + build_ovw: bool = common._default_out_config['build_ovw'], + overwrite: bool = common._default_out_config['overwrite'], + progress: bool | Sequence[dict] = False, ): # TODO: allow pan index e.g. Landsat can have all bands incl pan at different resolutions # in a single file + # set up progress bars + if progress is True: + progress = [ + common.get_tqdm_kwargs(desc=desc, unit='blocks') + for desc in ['Statistics', 'Sharpening'] + ] + elif progress is False: + progress = [dict(disable=True, leave=False)] * 2 exit_stack = ExitStack() interp = Interp(interp).to_rio() with exit_stack: - # TODO: progress bar labels for reading stats and transforming with internal and user - # provided progress params - if progress is True: - progress = Ortho._default_tqdm_kwargs - elif progress is False: - progress = dict(disable=True, leave=False) - # else: - # progress = tqdm(**progress) - # progress = exit_stack.enter_context(progress) - # open pan & MS images exit_stack.enter_context(rio.Env(GDAL_NUM_THREADS='ALL_CPUS', GTIFF_FORCE_RGBA=False)) pan_im = exit_stack.enter_context(common.OpenRaster(self._pan_file, 'r')) @@ -470,7 +469,7 @@ def process( # find pan sharpening parameters from image stats # TODO: Keep stats & params as state (depends on interp & indexes)? Or find stats # with fixed interp and all indexes, then select specified indexes here? - means, cov = self._get_stats(pan_im, ms_im, indexes, interp, progress) + means, cov = self._get_stats(pan_im, ms_im, indexes, interp, progress[0]) params = self._get_params(means, cov, weights) # open pan & upsampled MS WarpedVRTs that lie on the pan resolution grid, and have @@ -500,7 +499,7 @@ def process( # for tile_win in self._block_windows(pan_im.shape) for _, tile_win in out_im.block_windows(1) ] - for future in tqdm(futures, **progress): + for future in tqdm(futures, **progress[1]): future.result() if build_ovw: diff --git a/orthority/param_io.py b/orthority/param_io.py index cc5770c..2f4ad23 100644 --- a/orthority/param_io.py +++ b/orthority/param_io.py @@ -68,13 +68,6 @@ _default_lla_crs = CRS.from_epsg(4979) """Default CRS for geographic camera coordinates.""" -_default_tqdm_kwargs = dict( - bar_format='{l_bar}{bar}|{n_fmt}/{total_fmt} files [{elapsed}<{remaining}]', - dynamic_ncols=True, - leave=True, -) -"""Default progress bar kwargs.""" - def _read_osfm_int_param(json_dict: dict) -> dict[str, dict[str, Any]]: """Read interior parameters from an OpenDroneMap / OpenSfM JSON dictionary.""" @@ -342,15 +335,13 @@ def _read_im_rpc_param( with ThreadPoolExecutor() as executor: futures = [executor.submit(_read_im_rpc_param, file) for file in files] - # create / set up progress bar + # set up progress bar if progress is True: - progress = tqdm(futures, **_default_tqdm_kwargs) + progress = common.get_tqdm_kwargs(unit='files') elif progress is False: - progress = tqdm(futures, disable=True, leave=False) - else: - progress = tqdm(futures, **progress) + progress = dict(disable=True, leave=False) - for future in progress: + for future in tqdm(futures, **progress): rpc_param_dict.update(**future.result()) return rpc_param_dict @@ -458,15 +449,13 @@ def _read_im_gcps( with ThreadPoolExecutor() as executor: futures = [executor.submit(_read_im_gcps, file) for file in files] - # create / set up progress bar + # set up progress bar if progress is True: - progress = tqdm(futures, **_default_tqdm_kwargs) + progress = common.get_tqdm_kwargs(unit='files') elif progress is False: - progress = tqdm(futures, disable=True, leave=False) - else: - progress = tqdm(futures, **progress) + progress = dict(disable=True, leave=False) - for future in progress: + for future in tqdm(futures, **progress): gcp_dict.update(**future.result()) return gcp_dict @@ -1231,15 +1220,13 @@ def _read_exif( with ThreadPoolExecutor() as executor: futures = [executor.submit(Exif, file) for file in files] - # create / set up progress bar + # set up progress bar if progress is True: - progress = tqdm(futures, **_default_tqdm_kwargs) + progress = common.get_tqdm_kwargs(unit='files') elif progress is False: - progress = tqdm(futures, disable=True, leave=False) - else: - progress = tqdm(futures, **progress) + progress = dict(disable=True, leave=False) - for future in progress: + for future in tqdm(futures, **progress): exif_obj = future.result() exif_dict[exif_obj.filename] = exif_obj diff --git a/tests/test_ortho.py b/tests/test_ortho.py index 9889627..86b4456 100644 --- a/tests/test_ortho.py +++ b/tests/test_ortho.py @@ -30,9 +30,9 @@ from rasterio.warp import transform_bounds from rasterio.windows import from_bounds +from orthority import common from orthority import errors, param_io from orthority.camera import Camera, create_camera, PinholeCamera -from orthority.common import nan_equals from orthority.enums import CameraType, Compress, Interp from orthority.ortho import Ortho from tests.conftest import _dem_resolution @@ -338,7 +338,7 @@ def test_reproject_dem_crs_equal( array, transform = ortho._reproject_dem(Interp.cubic, resolution) assert transform == ortho._dem_transform - assert np.all(nan_equals(array, ortho._dem_array)) + assert np.all(common.nan_equals(array, ortho._dem_array)) @pytest.mark.parametrize( @@ -757,7 +757,7 @@ def test_process_per_band( test_array = test_im.read() assert test_array.shape == ref_array.shape - assert np.all(nan_equals(test_array, ref_array)) + assert np.all(common.nan_equals(test_array, ref_array)) @pytest.mark.parametrize( @@ -1009,8 +1009,10 @@ def test_process_nodata(rgb_pinhole_utm34n_ortho: Ortho, dtype: str, tmp_path: P assert ortho_file.exists() with rio.open(ortho_file, 'r') as ortho_im: - assert ortho_im.profile['dtype'] in Ortho._nodata_vals - assert nan_equals(ortho_im.profile['nodata'], Ortho._nodata_vals[ortho_im.profile['dtype']]) + assert ortho_im.profile['dtype'] in common._nodata_vals + assert common.nan_equals( + ortho_im.profile['nodata'], common._nodata_vals[ortho_im.profile['dtype']] + ) @pytest.mark.parametrize( From 4d8236d49d36d01378f85e7e203519ea26c3c018 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Sun, 28 Jul 2024 19:19:23 +0200 Subject: [PATCH 26/93] add pan index and re-solve weights w/o -ve bands - allow pan & MS index arguments - validate indexes with weights - redo auto weights without -ve bands --- orthority/pan_sharp.py | 160 ++++++++++++++++++++++++++++------------- 1 file changed, 109 insertions(+), 51 deletions(-) diff --git a/orthority/pan_sharp.py b/orthority/pan_sharp.py index 5f92a20..83373c0 100644 --- a/orthority/pan_sharp.py +++ b/orthority/pan_sharp.py @@ -44,7 +44,7 @@ class PanSharpen: _working_dtype = 'float32' # default algorithm configuration values for PanSharpen.process() - _default_alg_config = dict(interp=Interp.cubic) + _default_alg_config = dict(ms_indexes=None, pan_index=1, weights=None, interp=Interp.cubic) def __init__( self, @@ -59,23 +59,14 @@ def __init__( self._out_lock = Lock() @staticmethod - def _block_windows( - im_shape: tuple[int, int], block_shape: tuple[int, int] = (1024, 1024) - ) -> Generator[Window]: - """Block window generator for the given image and optional block shapes.""" - xrange = range(0, im_shape[1], block_shape[1]) - yrange = range(0, im_shape[0], block_shape[0]) - for xstart, ystart in product(xrange, yrange): - xstop = min(xstart + block_shape[1], im_shape[1]) - ystop = min(ystart + block_shape[0], im_shape[0]) - yield Window(xstart, ystart, xstop - xstart, ystop - ystart) - - def _get_vrt_profiles(self, pan_file, ms_file) -> tuple[dict, dict]: + def _get_vrt_profiles(pan_file, ms_file) -> tuple[dict, dict]: """Return pan and MS WarpedVRT profiles for cropping and warping both to a shared pixel grid and bounds. Pan is left on its source grid, and cropped if necessary. MS is warped and cropped (as necessary) to lie on the pan grid. """ - # TODO: what if the images have GCPs but not transforms? + # TODO: error checking: what if the images have GCPs but no transforms, or if they are not + # geo-referenced at all (assume they are co-located and derive transforms from relative + # shapes)? with common.OpenRaster(pan_file) as pan_ds, common.OpenRaster(ms_file) as ms_ds: if np.any(np.array(pan_ds.res) > ms_ds.res): raise ValueError( @@ -136,11 +127,56 @@ def _get_vrt_profiles(self, pan_file, ms_file) -> tuple[dict, dict]: ) return pan_profile, ms_profile + @staticmethod + def _block_windows( + im_shape: tuple[int, int], block_shape: tuple[int, int] = (1024, 1024) + ) -> Generator[Window]: + """Block window generator for the given image and optional block shapes.""" + xrange = range(0, im_shape[1], block_shape[1]) + yrange = range(0, im_shape[0], block_shape[0]) + for xstart, ystart in product(xrange, yrange): + xstop = min(xstart + block_shape[1], im_shape[1]) + ystop = min(ystart + block_shape[0], im_shape[0]) + yield Window(xstart, ystart, xstop - xstart, ystop - ystart) + + def _validate_pan_ms_params( + self, + pan_im: rio.DatasetReader, + ms_im: rio.DatasetReader, + pan_index: int, + ms_indexes: Sequence[int], + weights: Sequence[float] | None, + ) -> tuple[Sequence[int], Sequence[float] | None]: + """Validate pan / MS indexes and weights.""" + if pan_index <= 0 or pan_index > pan_im.count: + pan_name = common.get_filename(pan_im) + raise ValueError( + f"Pan index {pan_index} is invalid for '{pan_name}' with {pan_im.count} band(s)" + ) + + ms_indexes = ms_im.indexes if ms_indexes is None or len(ms_indexes) == 0 else ms_indexes + if np.any(ms_indexes_ := np.array(ms_indexes) <= 0) or np.any(ms_indexes_ > ms_im.count): + ms_name = common.get_filename(ms_im) + raise ValueError( + f"Multispectral indexes {tuple(ms_indexes.tolist())} contain invalid values for " + f"'{ms_name}' with {ms_im.count} band(s)" + ) + + weights = None if weights is None or len(weights) == 0 else weights + if (weights is not None) and (len(weights) != len(ms_indexes)): + raise ValueError( + f"There should be the same number of multispectral to pan weights ({len(weights)}) " + f"as multispectral indexes ({len(ms_indexes)})." + ) + + return ms_indexes, weights + def _get_stats( self, pan_im: rio.DatasetReader, ms_im: rio.DatasetReader, - indexes: Sequence[int] | np.ndarray, + pan_index: int, + ms_indexes: Sequence[int] | np.ndarray, interp: Resampling, progress: dict, ) -> tuple[np.ndarray, np.ndarray]: @@ -162,18 +198,20 @@ def get_tile_stats( """ # read pan and MS tiles & tile masks (without masked arrays which don't release GIL) with self._pan_lock: - pan_array = pan_im.read(window=tile_win) - pan_mask = pan_im.read_masks(window=tile_win).astype('bool', copy=False) + pan_array = pan_im.read(indexes=pan_index, window=tile_win) + pan_mask = pan_im.read_masks(indexes=pan_index, window=tile_win).astype( + 'bool', copy=False + ) with self._ms_lock: - ms_array = ms_im.read(indexes=indexes, window=tile_win) - ms_mask = ms_im.read_masks(indexes=indexes, window=tile_win).astype( + ms_array = ms_im.read(indexes=ms_indexes, window=tile_win) + ms_mask = ms_im.read_masks(indexes=ms_indexes, window=tile_win).astype( 'bool', copy=False ) # mask and combine pan & MS - mask = pan_mask[0] & ms_mask.all(axis=0) + mask = pan_mask & ms_mask.all(axis=0) pan_ms_array = np.concat( - (pan_array[0][mask].reshape(1, -1), ms_array[:, mask].reshape(len(indexes), -1)), + (pan_array[mask].reshape(1, -1), ms_array[:, mask].reshape(len(indexes), -1)), axis=0, ) @@ -212,14 +250,14 @@ def get_tile_stats( # find tile stats in a thread pool and aggregate n = 0 - means = np.zeros(len(indexes) + 1, dtype=working_dtype) - prod = np.zeros((len(indexes) + 1,) * 2, dtype=working_dtype) + means = np.zeros(len(ms_indexes) + 1, dtype=working_dtype) + prod = np.zeros((len(ms_indexes) + 1,) * 2, dtype=working_dtype) with ThreadPoolExecutor(max_workers=os.cpu_count()) as ex: # TODO: are custom size block windows helpful here & does WarpedVRT dtype affect # threading? futures = [ - ex.submit(get_tile_stats, pan_im, ms_im, indexes, tile_win) - for _, tile_win in ms_im.block_windows(indexes[0]) + ex.submit(get_tile_stats, pan_im, ms_im, ms_indexes, tile_win) + for _, tile_win in ms_im.block_windows(ms_indexes[0]) ] for future in tqdm(futures, **progress): @@ -251,22 +289,31 @@ def get_weights(cov: np.ndarray, weights: np.ndarray = None) -> np.ndarray: estimated from the given pan / MS covariance matrix. """ if weights is None: - # find the LS solution for the weights as described in section 2.2 & eq 6 - weights = np.linalg.lstsq(cov[1:, 1:], cov[0, 1:].reshape(-1, 1), rcond=None)[0] + # find the LS solution for the weights as described in section 2.2 & eq 6, + # except, if there are negative weights, set those to zero, and redo the LS + # without the zero weighted MS bands + weights = np.zeros(cov.shape[0] - 1) + ms_indexes_ = np.arange(1, cov.shape[0]) + for _ in range(2): + ms_cov = cov[ms_indexes_, :][:, ms_indexes_] + pan_ms_cov = cov[0, ms_indexes_].reshape(-1, 1) + weights[ms_indexes_ - 1] = np.linalg.lstsq(ms_cov, pan_ms_cov, rcond=None)[0].T + if np.all(weights >= 0): + break + else: + ms_indexes_ = np.where(weights > 0)[0] + 1 else: weights = np.array(weights) + # set any remaining -ve weights to 0, normalise & return + weights = weights.flatten() if np.any(weights < 0): - # TODO: instead of zeroing and normalising, redo the least squares with -ve bands - # excluded & set -ve weights to zero. warnings.warn( f'Weights contain negative value(s), setting to zero and normalising: ' f'{tuple(weights.round(4).tolist())}.', category=OrthorityWarning, ) - - # set any -ve weights to 0, normalise & return - weights = weights.flatten().clip(0, None) + weights = weights.clip(0, None) return weights / weights.sum() def get_gs_coeffs(cov: np.ndarray, weights: np.ndarray) -> list[np.ndarray]: @@ -305,7 +352,6 @@ def get_pan_norm( # find simulated pan mean and std deviation from weights & MS covariances (no # corresponding equation in paper, derived from properties of covariance: # https://dlsun.github.io/probability/cov-properties.html) - # TODO: validate this pan_sim_mean = weights.dot(means[1:]) pan_sim_std = np.sqrt( (weights.reshape(-1, 1).dot(weights.reshape(1, -1)) * cov[1:, 1:]).sum() @@ -317,8 +363,10 @@ def get_pan_norm( return gain, bias weights = get_weights(cov, weights=weights) + logger.debug(f"Multispectral to pan weights: {tuple(weights.round(4).tolist())}.") coeffs = get_gs_coeffs(cov[1:, 1:], weights) gain, bias = get_pan_norm(means, cov, weights) + logger.debug(f"Simulated pan gain: {gain:.4f}, bias: {bias:.4f}.") return dict(means=means, coeffs=coeffs, weights=weights, gain=gain, bias=bias) def _process_tile_array( @@ -335,8 +383,9 @@ def _process_tile_array( parameters. Uses the "Process for Enhancing the Spatial Resolution of Multispectral Imagery Using Pan-sharpening" method in https://patents.google.com/patent/US6011875A/en. """ - # TODO: document that this finds GS transform of already upsampled MS data, while the paper - # finds GS transform then upsamples + # Note: the Gram-Schmidt transform is applied to upsampled MS data, rather than + # transforming first then upsampling as in the patent. This is equivalent and simpler in + # code. def gs_foward( ms_array: np.ndarray, @@ -385,7 +434,8 @@ def _process_tile( pan_im: rio.DatasetReader, ms_im: rio.DatasetReader, tile_win: Window, - indexes: Sequence[int], + pan_index: int, + ms_indexes: Sequence[int], out_im: rio.io.DatasetWriter, write_mask: bool, **params, @@ -394,16 +444,20 @@ def _process_tile( # TODO: working dtype precision checks # read pan and MS tiles & tile masks (without masked arrays which don't release GIL) with self._pan_lock: - pan_array = pan_im.read(window=tile_win) - pan_mask = pan_im.read_masks(window=tile_win).astype('bool', copy=False) + pan_array = pan_im.read(indexes=pan_index, window=tile_win) + pan_mask = pan_im.read_masks(indexes=pan_index, window=tile_win).astype( + 'bool', copy=False + ) with self._ms_lock: - ms_array = ms_im.read(indexes=indexes, window=tile_win) - ms_mask = ms_im.read_masks(indexes=indexes, window=tile_win).astype('bool', copy=False) + ms_array = ms_im.read(indexes=ms_indexes, window=tile_win) + ms_mask = ms_im.read_masks(indexes=ms_indexes, window=tile_win).astype( + 'bool', copy=False + ) # mask and reshape pan & MS - mask = pan_mask[0] & ms_mask.all(axis=0) - pan_array_ = pan_array[0][mask].reshape(1, -1) - ms_array_ = ms_array[:, mask].reshape(len(indexes), -1) + mask = pan_mask & ms_mask.all(axis=0) + pan_array_ = pan_array[mask].reshape(1, -1) + ms_array_ = ms_array[:, mask].reshape(len(ms_indexes), -1) # pan sharpen masked data and write into output mask area out_array_ = self._process_tile_array(pan_array_, ms_array_, **params) @@ -420,8 +474,9 @@ def _process_tile( def process( self, out_file: str | PathLike | OpenFile, - indexes: Sequence[int] = None, - weights: bool | Sequence[float] = None, + pan_index: int = _default_alg_config['pan_index'], + ms_indexes: Sequence[int] = _default_alg_config['ms_indexes'], + weights: bool | Sequence[float] = _default_alg_config['weights'], interp: str | Interp = _default_alg_config['interp'], write_mask: bool | None = common._default_out_config['write_mask'], dtype: str = common._default_out_config['dtype'], @@ -430,8 +485,6 @@ def process( overwrite: bool = common._default_out_config['overwrite'], progress: bool | Sequence[dict] = False, ): - # TODO: allow pan index e.g. Landsat can have all bands incl pan at different resolutions - # in a single file # set up progress bars if progress is True: progress = [ @@ -448,7 +501,11 @@ def process( exit_stack.enter_context(rio.Env(GDAL_NUM_THREADS='ALL_CPUS', GTIFF_FORCE_RGBA=False)) pan_im = exit_stack.enter_context(common.OpenRaster(self._pan_file, 'r')) ms_im = exit_stack.enter_context(common.OpenRaster(self._ms_file, 'r')) - indexes = indexes or ms_im.indexes + + # validate indexes and weights + ms_indexes, weights = self._validate_pan_ms_params( + pan_im, ms_im, pan_index, ms_indexes, weights + ) # open output image dtype = dtype or np.promote_types(pan_im.dtypes[0], ms_im.dtypes[0]) @@ -460,7 +517,7 @@ def process( transform=self._pan_profile['transform'], width=self._pan_profile['width'], height=self._pan_profile['height'], - count=len(indexes), + count=len(ms_indexes), ) out_im = exit_stack.enter_context( common.OpenRaster(out_file, 'w', overwrite=overwrite, **out_profile) @@ -469,7 +526,7 @@ def process( # find pan sharpening parameters from image stats # TODO: Keep stats & params as state (depends on interp & indexes)? Or find stats # with fixed interp and all indexes, then select specified indexes here? - means, cov = self._get_stats(pan_im, ms_im, indexes, interp, progress[0]) + means, cov = self._get_stats(pan_im, ms_im, pan_index, ms_indexes, interp, progress[0]) params = self._get_params(means, cov, weights) # open pan & upsampled MS WarpedVRTs that lie on the pan resolution grid, and have @@ -491,7 +548,8 @@ def process( pan_im, ms_im, tile_win, - indexes, + pan_index, + ms_indexes, out_im, write_mask, **params, From df7ddf208814236dd4fa0e16905b6b99fcf63d1f Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 31 Jul 2024 10:52:02 +0200 Subject: [PATCH 27/93] - fix create_profile() for rgb+ jpeg source - fix convert_array_dtype() clip for int array dtype --- orthority/common.py | 11 +++++------ tests/test_common.py | 17 ++++++++++++----- 2 files changed, 17 insertions(+), 11 deletions(-) diff --git a/orthority/common.py b/orthority/common.py index ec28c39..f059cf9 100644 --- a/orthority/common.py +++ b/orthority/common.py @@ -414,8 +414,8 @@ def create_profile( ) # configure interleaving and color interpretation - if compress == Compress.jpeg: - interleave, photometric = ('pixel', 'ycbcr') if len(colorinterp) == 3 else ('band', None) + if compress == Compress.jpeg and len(colorinterp) == 3: + interleave, photometric = ('pixel', 'ycbcr') elif colorinterp[:3] == [ColorInterp.red, ColorInterp.green, ColorInterp.blue]: interleave, photometric = ('band', 'rgb') else: @@ -464,10 +464,9 @@ def convert_array_dtype(array: np.ndarray, dtype: str) -> np.array: ) dst_info = np.iinfo(dtype) if src_info.min < dst_info.min or src_info.max > dst_info.max: - if np.issubdtype(array.dtype, np.floating): - # promote array dtype to be able to represent destination dtype exactly (if - # possible) to clip correctly - array = array.astype(np.promote_types(array.dtype, dtype)) + # promote array dtype to be able to represent destination dtype exactly (if + # possible) to clip correctly + array = array.astype(np.promote_types(array.dtype, dtype)) np.clip(array, dst_info.min, dst_info.max, out=array) # convert dtype (ignoring numpy warnings for float overflow or cast of nan to integer) diff --git a/tests/test_common.py b/tests/test_common.py index c9dd76c..e1805d5 100644 --- a/tests/test_common.py +++ b/tests/test_common.py @@ -305,16 +305,20 @@ def test_create_profile_compress(dtype: str, compress: str, exp_value: str): # jpeg compression with any 3 band colorinterp should give 'pixel' / 'ycbcr' ('jpeg', [ColorInterp.red, ColorInterp.green, ColorInterp.blue], ('pixel', 'ycbcr')), ('jpeg', [ColorInterp.undefined] * 3, ('pixel', 'ycbcr')), - # other jpeg compression should give 'band' / None - ('jpeg', [ColorInterp.undefined] * 4, ('band', None)), - # deflate compression with rgb or rgb* colorinterp should give 'band' / 'rgb' + # any compression with rgb or rgb* colorinterp should give 'band' / 'rgb' + ( + 'jpeg', + [ColorInterp.red, ColorInterp.green, ColorInterp.blue, ColorInterp.alpha], + ('band', 'rgb'), + ), ('deflate', [ColorInterp.red, ColorInterp.green, ColorInterp.blue], ('band', 'rgb')), ( 'deflate', - [ColorInterp.red, ColorInterp.green, ColorInterp.blue, ColorInterp.alpha], + [ColorInterp.red, ColorInterp.green, ColorInterp.blue, ColorInterp.undefined], ('band', 'rgb'), ), - # other deflate compression should give 'band' / None + # any other configuration should give 'band' / None + ('jpeg', [ColorInterp.undefined] * 4, ('band', None)), ('deflate', [ColorInterp.undefined] * 3, ('band', None)), ], ) @@ -377,6 +381,9 @@ def test_create_profile_write_mask_nodata(dtype: str, write_mask: bool | None, e @pytest.mark.parametrize( 'src_dtype, dst_dtype', [ + ('uint16', 'uint8'), + ('uint16', 'int16'), + ('uint16', 'float32'), ('float32', 'uint8'), ('float32', 'uint16'), ('float32', 'int16'), From 7e7ff836449a9a5fed97e938be03987cdc1bbbb6 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 31 Jul 2024 11:18:16 +0200 Subject: [PATCH 28/93] various minor updates - force CRS georeferencing - class-wide working dtype to avoid conversions - shutdown thread pools on exception - auto-weights revert to original if re-solving doesn't help - docstring and comment updates --- orthority/pan_sharp.py | 195 ++++++++++++++++++++++++++--------------- 1 file changed, 123 insertions(+), 72 deletions(-) diff --git a/orthority/pan_sharp.py b/orthority/pan_sharp.py index 83373c0..95d993c 100644 --- a/orthority/pan_sharp.py +++ b/orthority/pan_sharp.py @@ -18,10 +18,10 @@ import logging import os import warnings -from concurrent.futures import ThreadPoolExecutor +from concurrent.futures import ThreadPoolExecutor, as_completed from contextlib import ExitStack from itertools import product -from os import cpu_count, PathLike +from os import PathLike from threading import Lock from typing import Generator, Sequence @@ -42,7 +42,23 @@ class PanSharpen: - _working_dtype = 'float32' + """ + Pan sharpener. + + Pan sharpens a multispectral image with a panchromatic image using the Gram-Schmidt method + (https://doi.org/10.5194/isprsarchives-XL-1-W1-239-2013). + + :param pan_file: + Panchromatic image. Can be a path or URI string, an :class:`~fsspec.core.OpenFile` object + in binary mode (``'rb'``), or a dataset reader. + :param ms_file: + Multispectral image. Can be a path or URI string, an :class:`~fsspec.core.OpenFile` object + in binary mode (``'rb'``), or a dataset reader. + """ + + # dtype for warping and transformations + _working_dtype = 'float64' + # default algorithm configuration values for PanSharpen.process() _default_alg_config = dict(ms_indexes=None, pan_index=1, weights=None, interp=Interp.cubic) @@ -60,14 +76,13 @@ def __init__( @staticmethod def _get_vrt_profiles(pan_file, ms_file) -> tuple[dict, dict]: - """Return pan and MS WarpedVRT profiles for cropping and warping both to a shared pixel - grid and bounds. Pan is left on its source grid, and cropped if necessary. MS is warped - and cropped (as necessary) to lie on the pan grid. - """ - # TODO: error checking: what if the images have GCPs but no transforms, or if they are not - # geo-referenced at all (assume they are co-located and derive transforms from relative - # shapes)? + """Return pan & MS resolution WarpedVRT profiles that define shared pixel grids and bounds.""" with common.OpenRaster(pan_file) as pan_ds, common.OpenRaster(ms_file) as ms_ds: + if not pan_ds.crs or not ms_ds.crs: + raise ValueError( + f'Pan and multispectral images should be georeferenced with a CRS and ' + f'affine transform.' + ) if np.any(np.array(pan_ds.res) > ms_ds.res): raise ValueError( f'Pan resolution: {pan_ds.res} exceeds multispectral resolution: {ms_ds.res}.' @@ -112,13 +127,12 @@ def _get_vrt_profiles(pan_file, ms_file) -> tuple[dict, dict]: common_win = Window(*common_win) common_bounds = pan_ds.window_bounds(common_win) + # create the pan & MS resolution WarpedVRT profiles pan_win = pan_ds.window(*common_bounds) pan_win = Window(*np.array(pan_win.flatten(), dtype='int')) pan_transform = pan_ds.window_transform(pan_win) ms_size = (np.array((pan_win.width, pan_win.height)) / res_fact).astype('int') ms_transform = pan_transform * rio.Affine.scale(*res_fact) - - # create the pan & MS WarpedVRT profiles pan_profile = dict( crs=pan_ds.crs, transform=pan_transform, width=pan_win.width, height=pan_win.height ) @@ -131,7 +145,7 @@ def _get_vrt_profiles(pan_file, ms_file) -> tuple[dict, dict]: def _block_windows( im_shape: tuple[int, int], block_shape: tuple[int, int] = (1024, 1024) ) -> Generator[Window]: - """Block window generator for the given image and optional block shapes.""" + """Block window generator for the given image, and optional block shape.""" xrange = range(0, im_shape[1], block_shape[1]) yrange = range(0, im_shape[0], block_shape[0]) for xstart, ystart in product(xrange, yrange): @@ -184,8 +198,6 @@ def _get_stats( Stable Parallel Computation of (Co-)Variance" method described in https://doi.org/10.1145/3221269.3223036 to aggregate stats over image tiles. """ - # working dtype of float64 for aggregating over large images / tiles or large image dtypes - working_dtype = 'float64' def get_tile_stats( pan_im: rio.DatasetReader, @@ -228,40 +240,34 @@ def get_tile_stats( # common bounds pan_im = ex_stack.enter_context( WarpedVRT( - pan_im, **self._ms_profile, resampling=Resampling.average, dtype=working_dtype + pan_im, + **self._ms_profile, + resampling=Resampling.average, + dtype=self._working_dtype, ) ) # reproject MS to pan_im grid if necessary ms_im = ex_stack.enter_context( - WarpedVRT(ms_im, **self._ms_profile, resampling=interp, dtype=working_dtype) + WarpedVRT(ms_im, **self._ms_profile, resampling=interp, dtype=self._working_dtype) ) - # reference full band mean & cov for testing - # pan_array = pan_im.read(masked=True) - # ms_array = ms_im.read(indexes=indexes, masked=True) - # mask = pan_array.mask[0] | ms_array.mask.any(axis=0) - # pan_array.mask = ms_array.mask = mask - # pan_ms_array = np.ma.concatenate( - # (pan_array[0].reshape(1, -1), ms_array.reshape(len(indexes), -1)), axis=0 - # ) - # ref_cov = np.ma.cov(pan_ms_array) - # ref_means = pan_ms_array.mean(axis=1) - # del pan_array, ms_array, pan_ms_array - # find tile stats in a thread pool and aggregate n = 0 - means = np.zeros(len(ms_indexes) + 1, dtype=working_dtype) - prod = np.zeros((len(ms_indexes) + 1,) * 2, dtype=working_dtype) - with ThreadPoolExecutor(max_workers=os.cpu_count()) as ex: - # TODO: are custom size block windows helpful here & does WarpedVRT dtype affect - # threading? + means = np.zeros(len(ms_indexes) + 1, dtype=self._working_dtype) + prod = np.zeros((len(ms_indexes) + 1,) * 2, dtype=self._working_dtype) + with ThreadPoolExecutor(max_workers=os.cpu_count()) as executor: futures = [ - ex.submit(get_tile_stats, pan_im, ms_im, ms_indexes, tile_win) - for _, tile_win in ms_im.block_windows(ms_indexes[0]) + executor.submit(get_tile_stats, pan_im, ms_im, ms_indexes, tile_win) + for tile_win in self._block_windows(ms_im.shape) ] - for future in tqdm(futures, **progress): - tile_n, tile_mean, tile_prod = future.result() + for future in tqdm(as_completed(futures), **progress, total=len(futures)): + # TODO: put this shutdown logic in all thread pools + try: + tile_n, tile_mean, tile_prod = future.result() + except Exception as ex: + executor.shutdown(wait=False, cancel_futures=True) + raise RuntimeError('Could not get tile statistics.') from ex if tile_n > 0: # eq 21 from the paper @@ -286,26 +292,26 @@ def _get_params(self, means: np.ndarray, cov: np.ndarray, weights: np.ndarray | def get_weights(cov: np.ndarray, weights: np.ndarray = None) -> np.ndarray: """Return normalised MS to pan weights. If ``weights`` is not provided, weights are - estimated from the given pan / MS covariance matrix. + estimated from the given pan / MS covariance. """ if weights is None: - # find the LS solution for the weights as described in section 2.2 & eq 6, - # except, if there are negative weights, set those to zero, and redo the LS - # without the zero weighted MS bands - weights = np.zeros(cov.shape[0] - 1) - ms_indexes_ = np.arange(1, cov.shape[0]) - for _ in range(2): + # find the LS solution for the weights as described in section 2.2 & eq 6 + weights = np.linalg.lstsq(cov[1:, 1:], cov[0, 1:].reshape(-1, 1), rcond=None)[0].T + + # redo the LS without negatively weighted bands if there are any + if np.any(weights < 0): + ms_indexes_ = np.where(weights > 0)[0] + 1 ms_cov = cov[ms_indexes_, :][:, ms_indexes_] pan_ms_cov = cov[0, ms_indexes_].reshape(-1, 1) - weights[ms_indexes_ - 1] = np.linalg.lstsq(ms_cov, pan_ms_cov, rcond=None)[0].T - if np.all(weights >= 0): - break - else: - ms_indexes_ = np.where(weights > 0)[0] + 1 + weights_ = np.linalg.lstsq(ms_cov, pan_ms_cov, rcond=None)[0].T + + # use the updated weights if they are positive + if np.all(weights_ >= 0): + weights[ms_indexes_ - 1] = weights_ else: weights = np.array(weights) - # set any remaining -ve weights to 0, normalise & return + # set any remaining negative weights to 0, normalise & return weights = weights.flatten() if np.any(weights < 0): warnings.warn( @@ -313,7 +319,7 @@ def get_weights(cov: np.ndarray, weights: np.ndarray = None) -> np.ndarray: f'{tuple(weights.round(4).tolist())}.', category=OrthorityWarning, ) - weights = weights.clip(0, None) + weights = weights.clip(0, None) return weights / weights.sum() def get_gs_coeffs(cov: np.ndarray, weights: np.ndarray) -> list[np.ndarray]: @@ -342,11 +348,11 @@ def get_pan_norm( means: np.ndarray, cov: np.ndarray, weights: np.ndarray ) -> tuple[float, float]: """Return the gain and bias to convert the actual pan to the mean and standard - deviation of the simulated pan, given the pan / MS means & covariance, and MS to pan - weights. Note this uses downsampled actual pan stats while the paper - uses full resolution actual pan stats. As the simulated pan stats are at MS - (downsampled) resolution, it seems the correct to use both at same resolution. + deviation of the simulated pan. """ + # Note: this uses MS resolution, while the paper uses pan resolution actual pan + # stats. As the simulated pan stats are also at the MS resolution, this seems correct. + pan_mean, pan_std = means[0], np.sqrt(cov[0, 0]) # find simulated pan mean and std deviation from weights & MS covariances (no @@ -379,7 +385,7 @@ def _process_tile_array( gain: float, bias: float, ) -> np.ndarray: - """Return the pan-sharpened tile for the given pan tile, MS tile and Gram-Schmidt + """Return the pan-sharpened tile for the given pan & MS tiles, and Gram-Schmidt parameters. Uses the "Process for Enhancing the Spatial Resolution of Multispectral Imagery Using Pan-sharpening" method in https://patents.google.com/patent/US6011875A/en. """ @@ -395,7 +401,9 @@ def gs_foward( ) -> np.ndarray: """Forward Gram-Schmidt transform of the given MS array with given parameters.""" # equations 10-12 of the patent - gs_array = np.zeros((ms_array.shape[0] + 1, ms_array.shape[1]), dtype=ms_array.dtype) + gs_array = np.zeros( + (ms_array.shape[0] + 1, ms_array.shape[1]), dtype=self._working_dtype + ) gs_array[0] = weights.dot(ms_array) for bi in range(0, ms_array.shape[0]): phi = coeffs[bi] @@ -409,12 +417,12 @@ def gs_reverse( coeffs: list[np.ndarray], ms_array: np.ndarray | None = None, ) -> np.ndarray: - """Reverse Gram-Schmidt transform of the given Gram-Schmidt array (with substituted - pan band) with given parameters. Optionally writes into ``ms_array`` if provided. + """Reverse Gram-Schmidt transform of the given Gram-Schmidt array with given + parameters. Optionally writes into ``ms_array`` if provided. """ if ms_array is None: ms_array = np.zeros( - (gs_array.shape[0] - 1, gs_array.shape[1]), dtype=gs_array.dtype + (gs_array.shape[0] - 1, gs_array.shape[1]), dtype=self._working_dtype ) # equation 14 of the patent @@ -441,7 +449,6 @@ def _process_tile( **params, ) -> None: """Thread-safe function to pan-sharpen a MS tile and write it to a dataset.""" - # TODO: working dtype precision checks # read pan and MS tiles & tile masks (without masked arrays which don't release GIL) with self._pan_lock: pan_array = pan_im.read(indexes=pan_index, window=tile_win) @@ -485,6 +492,49 @@ def process( overwrite: bool = common._default_out_config['overwrite'], progress: bool | Sequence[dict] = False, ): + """ + Pan-sharpen. + + Image statistics are aggregated tile-by-tile and used to derive the Gramm-Schmidt + parameters in a first step. Then the pan-sharpened image is created tile-by-tile in a + second step. + + :param out_file: + Output image file to create. Can be a path or URI string, or an + :class:`~fsspec.core.OpenFile` object in binary mode (``'wb'``). + :param pan_index: + Index of the pan band to use (1-based). + :param ms_indexes: + Indexes of the multispectral bands to use (1-based). If set to ``None`` (the default), + all multispectral bands are used. + :param weights: + Multi-spectral to pan weights. If set to ``None`` (the default), weights are + estimated from the images. + :param interp: + Interpolation method for resampling the multispectral image. + :param write_mask: + Mask valid output pixels with an internal mask (``True``), or with a nodata value + based on ``dtype`` (``False``). An internal mask helps remove nodata noise caused by + lossy compression. If set to ``None`` (the default), the mask will be written when + JPEG compression is used. + :param dtype: + Output image data type (``uint8``, ``uint16``, ``int16``, ``float32`` or + ``float64``). If set to ``None`` (the default), the source image data type is used. + :param compress: + Output image compression type (``jpeg`` or ``deflate``). ``deflate`` can be used with + any ``dtype``, and ``jpeg`` with the uint8 ``dtype``. With supporting Rasterio + builds, ``jpeg`` can also be used with uint16, in which case the output is 12 bit JPEG + compressed. If ``compress`` is set to ``None`` (the default), ``jpeg`` is used for the + uint8 ``dtype``, and ``deflate`` otherwise. + :param build_ovw: + Whether to build overviews for the output image. + :param overwrite: + Whether to overwrite the output image if it exists. + :param progress: + Whether to display a progress bar monitoring the portion of tiles processed in each + step. Can be set to a sequence of two argument dictionaries defining a custom + `tqdm `_ bar for each step. + """ # set up progress bars if progress is True: progress = [ @@ -524,24 +574,21 @@ def process( ) # find pan sharpening parameters from image stats - # TODO: Keep stats & params as state (depends on interp & indexes)? Or find stats - # with fixed interp and all indexes, then select specified indexes here? means, cov = self._get_stats(pan_im, ms_im, pan_index, ms_indexes, interp, progress[0]) params = self._get_params(means, cov, weights) # open pan & upsampled MS WarpedVRTs that lie on the pan resolution grid, and have # common bounds - working_dtype = str(np.promote_types(self._working_dtype, out_profile['dtype'])) pan_im = exit_stack.enter_context( - WarpedVRT(pan_im, **self._pan_profile, dtype=working_dtype) + WarpedVRT(pan_im, **self._pan_profile, dtype=self._working_dtype) ) ms_im = exit_stack.enter_context( - WarpedVRT(ms_im, **self._pan_profile, resampling=interp, dtype=working_dtype) + WarpedVRT(ms_im, **self._pan_profile, resampling=interp, dtype=self._working_dtype), ) # pan sharpen tiles in a thread pool # TODO: use output or custom block windows? - with ThreadPoolExecutor(max_workers=cpu_count()) as executor: + with ThreadPoolExecutor(max_workers=os.cpu_count()) as executor: futures = [ executor.submit( self._process_tile, @@ -554,11 +601,15 @@ def process( write_mask, **params, ) - # for tile_win in self._block_windows(pan_im.shape) - for _, tile_win in out_im.block_windows(1) + for tile_win in self._block_windows(pan_im.shape, block_shape=(1024, 1024)) + # for _, tile_win in out_im.block_windows(1) ] - for future in tqdm(futures, **progress[1]): - future.result() + for future in tqdm(as_completed(futures), **progress[1], total=len(futures)): + try: + future.result() + except Exception as ex: + executor.shutdown(wait=False, cancel_futures=True) + raise RuntimeError('Could not process tile.') from ex if build_ovw: common.build_overviews(out_im) From 5c78f0a4b8934739d2e8131dc0b93f01e95cdfc9 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Thu, 1 Aug 2024 18:12:24 +0200 Subject: [PATCH 29/93] dynamic_ncols() defaults to dynamic_ncols=True --- orthority/common.py | 1 + 1 file changed, 1 insertion(+) diff --git a/orthority/common.py b/orthority/common.py index f059cf9..a9a1f15 100644 --- a/orthority/common.py +++ b/orthority/common.py @@ -504,5 +504,6 @@ def get_tqdm_kwargs(**kwargs) -> dict: """Return a dictionary of ``tqdm`` progress bar kwargs with a standard ``bar_format``.""" return dict( bar_format='{l_bar}{bar}|{n_fmt}/{total_fmt} {unit} [{elapsed}<{remaining}]', + dynamic_ncols=True, **kwargs, ) From a6e5281fa9539b3814078cca425d6284ca5320a3 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Thu, 1 Aug 2024 18:17:10 +0200 Subject: [PATCH 30/93] vrt profile & masking updates - add dtype, nodata & num_threads to VRT profiles - use nodata to find VRT masks - progress bar includes overviews --- orthority/pan_sharp.py | 162 ++++++++++++++++++++--------------------- 1 file changed, 81 insertions(+), 81 deletions(-) diff --git a/orthority/pan_sharp.py b/orthority/pan_sharp.py index 95d993c..37f7b4e 100644 --- a/orthority/pan_sharp.py +++ b/orthority/pan_sharp.py @@ -56,8 +56,9 @@ class PanSharpen: in binary mode (``'rb'``), or a dataset reader. """ - # dtype for warping and transformations + # dtype & nodata for warping and transformations _working_dtype = 'float64' + _working_nodata = common._nodata_vals[_working_dtype] # default algorithm configuration values for PanSharpen.process() _default_alg_config = dict(ms_indexes=None, pan_index=1, weights=None, interp=Interp.cubic) @@ -76,7 +77,9 @@ def __init__( @staticmethod def _get_vrt_profiles(pan_file, ms_file) -> tuple[dict, dict]: - """Return pan & MS resolution WarpedVRT profiles that define shared pixel grids and bounds.""" + """Return pan & MS resolution WarpedVRT profiles that define shared pixel grids and + bounds. + """ with common.OpenRaster(pan_file) as pan_ds, common.OpenRaster(ms_file) as ms_ds: if not pan_ds.crs or not ms_ds.crs: raise ValueError( @@ -134,10 +137,22 @@ def _get_vrt_profiles(pan_file, ms_file) -> tuple[dict, dict]: ms_size = (np.array((pan_win.width, pan_win.height)) / res_fact).astype('int') ms_transform = pan_transform * rio.Affine.scale(*res_fact) pan_profile = dict( - crs=pan_ds.crs, transform=pan_transform, width=pan_win.width, height=pan_win.height + crs=pan_ds.crs, + transform=pan_transform, + width=pan_win.width, + height=pan_win.height, + dtype=PanSharpen._working_dtype, + nodata=PanSharpen._working_nodata, + num_threads=os.cpu_count(), ) ms_profile = dict( - crs=pan_ds.crs, transform=ms_transform, width=ms_size[0], height=ms_size[1] + crs=pan_ds.crs, + transform=ms_transform, + width=ms_size[0], + height=ms_size[1], + dtype=PanSharpen._working_dtype, + nodata=PanSharpen._working_nodata, + num_threads=os.cpu_count(), ) return pan_profile, ms_profile @@ -208,20 +223,16 @@ def get_tile_stats( """Return pan / MS pixel count, mean & sum of deviation products for the given ``tile_win``. Fully masked tiles produce zeros for count, means & products. """ - # read pan and MS tiles & tile masks (without masked arrays which don't release GIL) + # read pan and MS tiles (without masked arrays which don't release GIL) with self._pan_lock: pan_array = pan_im.read(indexes=pan_index, window=tile_win) - pan_mask = pan_im.read_masks(indexes=pan_index, window=tile_win).astype( - 'bool', copy=False - ) with self._ms_lock: ms_array = ms_im.read(indexes=ms_indexes, window=tile_win) - ms_mask = ms_im.read_masks(indexes=ms_indexes, window=tile_win).astype( - 'bool', copy=False - ) # mask and combine pan & MS - mask = pan_mask & ms_mask.all(axis=0) + pan_mask = np.logical_not(common.nan_equals(pan_array, pan_im.nodata)) + ms_mask = np.logical_not(common.nan_equals(ms_array, ms_im.nodata)).all(axis=0) + mask = pan_mask & ms_mask pan_ms_array = np.concat( (pan_array[mask].reshape(1, -1), ms_array[:, mask].reshape(len(indexes), -1)), axis=0, @@ -239,44 +250,37 @@ def get_tile_stats( # open MS & downsampled pan WarpedVRTs that lie on a MS resolution grid, and have # common bounds pan_im = ex_stack.enter_context( - WarpedVRT( - pan_im, - **self._ms_profile, - resampling=Resampling.average, - dtype=self._working_dtype, - ) + WarpedVRT(pan_im, **self._ms_profile, resampling=Resampling.average) ) # reproject MS to pan_im grid if necessary - ms_im = ex_stack.enter_context( - WarpedVRT(ms_im, **self._ms_profile, resampling=interp, dtype=self._working_dtype) - ) + ms_im = ex_stack.enter_context(WarpedVRT(ms_im, **self._ms_profile, resampling=interp)) # find tile stats in a thread pool and aggregate n = 0 means = np.zeros(len(ms_indexes) + 1, dtype=self._working_dtype) prod = np.zeros((len(ms_indexes) + 1,) * 2, dtype=self._working_dtype) - with ThreadPoolExecutor(max_workers=os.cpu_count()) as executor: - futures = [ - executor.submit(get_tile_stats, pan_im, ms_im, ms_indexes, tile_win) - for tile_win in self._block_windows(ms_im.shape) - ] - - for future in tqdm(as_completed(futures), **progress, total=len(futures)): - # TODO: put this shutdown logic in all thread pools - try: - tile_n, tile_mean, tile_prod = future.result() - except Exception as ex: - executor.shutdown(wait=False, cancel_futures=True) - raise RuntimeError('Could not get tile statistics.') from ex - - if tile_n > 0: - # eq 21 from the paper - mean_diffs = tile_mean - means - mean_diffs_ = mean_diffs.reshape(-1, 1).dot(mean_diffs.reshape(1, -1)) - prod += tile_prod + mean_diffs_ * (n * tile_n) / (n + tile_n) - # eq 17 from the paper - n += tile_n - means += mean_diffs * tile_n / n + executor = ex_stack.enter_context(ThreadPoolExecutor(max_workers=os.cpu_count())) + futures = [ + executor.submit(get_tile_stats, pan_im, ms_im, ms_indexes, tile_win) + for tile_win in self._block_windows(ms_im.shape) + ] + + for future in tqdm(as_completed(futures), **progress, total=len(futures)): + # TODO: put this shutdown logic in all thread pools + try: + tile_n, tile_mean, tile_prod = future.result() + except Exception as ex: + executor.shutdown(wait=False, cancel_futures=True) + raise RuntimeError('Could not get tile statistics.') from ex + + if tile_n > 0: + # eq 21 from the paper + mean_diffs = tile_mean - means + mean_diffs_ = mean_diffs.reshape(-1, 1).dot(mean_diffs.reshape(1, -1)) + prod += tile_prod + mean_diffs_ * (n * tile_n) / (n + tile_n) + # eq 17 from the paper + n += tile_n + means += mean_diffs * tile_n / n # convert prod to unbiased covariance (as with numpy.cov default) cov = prod / (n - 1) @@ -449,20 +453,16 @@ def _process_tile( **params, ) -> None: """Thread-safe function to pan-sharpen a MS tile and write it to a dataset.""" - # read pan and MS tiles & tile masks (without masked arrays which don't release GIL) + # read pan and MS tiles (without masked arrays which don't release GIL) with self._pan_lock: pan_array = pan_im.read(indexes=pan_index, window=tile_win) - pan_mask = pan_im.read_masks(indexes=pan_index, window=tile_win).astype( - 'bool', copy=False - ) with self._ms_lock: ms_array = ms_im.read(indexes=ms_indexes, window=tile_win) - ms_mask = ms_im.read_masks(indexes=ms_indexes, window=tile_win).astype( - 'bool', copy=False - ) # mask and reshape pan & MS - mask = pan_mask & ms_mask.all(axis=0) + pan_mask = np.logical_not(common.nan_equals(pan_array, pan_im.nodata)) + ms_mask = np.logical_not(common.nan_equals(ms_array, ms_im.nodata)).all(axis=0) + mask = pan_mask & ms_mask pan_array_ = pan_array[mask].reshape(1, -1) ms_array_ = ms_array[:, mask].reshape(len(ms_indexes), -1) @@ -579,37 +579,37 @@ def process( # open pan & upsampled MS WarpedVRTs that lie on the pan resolution grid, and have # common bounds - pan_im = exit_stack.enter_context( - WarpedVRT(pan_im, **self._pan_profile, dtype=self._working_dtype) - ) + pan_im = exit_stack.enter_context(WarpedVRT(pan_im, **self._pan_profile)) ms_im = exit_stack.enter_context( - WarpedVRT(ms_im, **self._pan_profile, resampling=interp, dtype=self._working_dtype), + WarpedVRT(ms_im, **self._pan_profile, resampling=interp), ) # pan sharpen tiles in a thread pool - # TODO: use output or custom block windows? - with ThreadPoolExecutor(max_workers=os.cpu_count()) as executor: - futures = [ - executor.submit( - self._process_tile, - pan_im, - ms_im, - tile_win, - pan_index, - ms_indexes, - out_im, - write_mask, - **params, - ) - for tile_win in self._block_windows(pan_im.shape, block_shape=(1024, 1024)) - # for _, tile_win in out_im.block_windows(1) - ] - for future in tqdm(as_completed(futures), **progress[1], total=len(futures)): - try: - future.result() - except Exception as ex: - executor.shutdown(wait=False, cancel_futures=True) - raise RuntimeError('Could not process tile.') from ex - - if build_ovw: - common.build_overviews(out_im) + executor = exit_stack.enter_context(ThreadPoolExecutor(max_workers=os.cpu_count())) + futures = [ + executor.submit( + self._process_tile, + pan_im, + ms_im, + tile_win, + pan_index, + ms_indexes, + out_im, + write_mask, + **params, + ) + for tile_win in self._block_windows(out_im.shape) + ] + + pbar = exit_stack.enter_context(tqdm(**progress[1], total=len(futures))) + for future in futures: + try: + future.result() + except Exception as ex: + executor.shutdown(wait=False, cancel_futures=True) + raise RuntimeError('Could not process tile.') from ex + pbar.update() + pbar.refresh() + + if build_ovw: + common.build_overviews(out_im) From f4407c17dff891cdd80f9f7e18f6cfccb942fddd Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Thu, 1 Aug 2024 18:17:54 +0200 Subject: [PATCH 31/93] fix docstring --- orthority/ortho.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/orthority/ortho.py b/orthority/ortho.py index 8b26c98..25db370 100644 --- a/orthority/ortho.py +++ b/orthority/ortho.py @@ -517,8 +517,8 @@ def process( lossy compression. If set to ``None`` (the default), the mask will be written when JPEG compression is used. :param dtype: - Ortho image data type (``uint8``, ``uint16``, ``float32`` or ``float64``). If set to - ``None`` (the default), the source image data type is used. + Ortho image data type (``uint8``, ``uint16``, ``int16``, ``float32`` or ``float64``). + If set to ``None`` (the default), the source image data type is used. :param compress: Ortho image compression type (``jpeg`` or ``deflate``). ``deflate`` can be used with any ``dtype``, and ``jpeg`` with the uint8 ``dtype``. With supporting Rasterio From f7a950001876ea548d33c6bfea8aa9a952696962 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Tue, 6 Aug 2024 15:44:45 +0200 Subject: [PATCH 32/93] update & fix VRT profiles and update docstrings - allow ungeoreferenced images - pan & MS VRT grids stay on the source grids - fix VRT bounds truncation --- orthority/pan_sharp.py | 205 ++++++++++++++++++++++++----------------- 1 file changed, 119 insertions(+), 86 deletions(-) diff --git a/orthority/pan_sharp.py b/orthority/pan_sharp.py index 37f7b4e..ab4f1ac 100644 --- a/orthority/pan_sharp.py +++ b/orthority/pan_sharp.py @@ -32,6 +32,7 @@ from rasterio.vrt import WarpedVRT from rasterio.warp import transform_bounds from rasterio.windows import intersect, Window +from rasterio.windows import transform as window_transform from tqdm.std import tqdm from orthority import common @@ -45,8 +46,11 @@ class PanSharpen: """ Pan sharpener. - Pan sharpens a multispectral image with a panchromatic image using the Gram-Schmidt method - (https://doi.org/10.5194/isprsarchives-XL-1-W1-239-2013). + Increases the resolution of a multispectral image to that of a panchromatic image using the + Gram-Schmidt method (https://doi.org/10.5194/isprsarchives-XL-1-W1-239-2013). + + Panchromatic and multispectral image bounds should overlap if they are georeferenced. If one + or both of the images are not georeferenced, they are assumed to having matching bounds. :param pan_file: Panchromatic image. Can be a path or URI string, an :class:`~fsspec.core.OpenFile` object @@ -70,91 +74,113 @@ def __init__( ): self._pan_file = pan_file self._ms_file = ms_file - self._pan_profile, self._ms_profile = self._get_vrt_profiles(pan_file, ms_file) + self._profiles = self._get_vrt_profiles(pan_file, ms_file) self._pan_lock = Lock() self._ms_lock = Lock() self._out_lock = Lock() @staticmethod - def _get_vrt_profiles(pan_file, ms_file) -> tuple[dict, dict]: - """Return pan & MS resolution WarpedVRT profiles that define shared pixel grids and - bounds. + def _get_vrt_profiles(pan_file, ms_file) -> dict[str, dict]: + """Return a dictionary of WarpedVRT profiles for warping pan/MS to pan and MS grids. The + pan and MS grids are cropped versions of the source grids that define shared bounds. """ - with common.OpenRaster(pan_file) as pan_ds, common.OpenRaster(ms_file) as ms_ds: - if not pan_ds.crs or not ms_ds.crs: - raise ValueError( - f'Pan and multispectral images should be georeferenced with a CRS and ' - f'affine transform.' + with ExitStack() as exit_stack: + # open files + pan_ds = exit_stack.enter_context(common.OpenRaster(pan_file)) + ms_ds = exit_stack.enter_context(common.OpenRaster(ms_file)) + # maintain source transforms separately as un-georeferenced images get custom + # transforms + pan_src_transform = pan_ds.transform + ms_src_transform = ms_ds.transform + + # find shared pan & MS bounds as pan & MS windows in their own CRSs + if ms_ds.crs is None and ms_ds.transform.is_identity: + # MS is not georeferenced and pan may or may not be georeferenced. Assume pan & + # MS bounds match. + warnings.warn( + 'Multispectral image is not georeferenced with a CRS and affine transform - ' + 'assuming its CRS and bounds match the pan image.', + category=OrthorityWarning, ) - if np.any(np.array(pan_ds.res) > ms_ds.res): - raise ValueError( - f'Pan resolution: {pan_ds.res} exceeds multispectral resolution: {ms_ds.res}.' + # create a custom MS transform that matches MS to pan bounds + ms_scale = np.array(pan_ds.shape[::-1]) / ms_ds.shape[::-1] + ms_src_transform = pan_ds.transform * rio.Affine.scale(*ms_scale) + # full / matching pan & MS windows + pan_win = Window(0, 0, pan_ds.width, pan_ds.height) + ms_win = Window(0, 0, ms_ds.width, ms_ds.height) + + elif pan_ds.crs is None and pan_ds.transform.is_identity: + # Pan is not georeferenced and MS is georeferenced. Assume pan & MS bounds match. + warnings.warn( + 'Pan image is not georeferenced with a CRS and affine transform - assuming ' + 'its CRS and bounds match the multispectral image.', + category=OrthorityWarning, ) + # create a custom pan transform that matches pan to MS bounds + pan_scale = np.array(ms_ds.shape[::-1]) / pan_ds.shape[::-1] + pan_src_transform = pan_ds.transform * rio.Affine.scale(*pan_scale) + # full / matching pan & MS windows + pan_win = Window(0, 0, pan_ds.width, pan_ds.height) + ms_win = Window(0, 0, ms_ds.width, ms_ds.height) - # MS bounds, bounding window and resolution in pan coordinates - ms_bounds_ = np.array(transform_bounds(ms_ds.crs, pan_ds.crs, *ms_ds.bounds)) - ms_win_ = pan_ds.window(*ms_bounds_) - if not intersect((pan_ds.window(*pan_ds.bounds), ms_win_)): - raise ValueError('Pan and multispectral extents do not overlap.') - ms_win_off_ = np.array((ms_win_.col_off, ms_win_.row_off)) - ms_res_ = (ms_bounds_[2:] - ms_bounds_[:2]) / (ms_ds.width, ms_ds.height) - - # ratio between ms and pan resolution in pan coordinates - res_fact = ms_res_ / pan_ds.res - - if ( - (pan_ds.crs == ms_ds.crs) - and np.all(ms_win_off_ == ms_win_off_.round()) - and np.all(res_fact == res_fact.round()) - ): - # The pan and MS pixel grids coincide. Find common pan and MS bounds that lie on - # the MS pixel grid. - pan_win_ = ms_ds.window(*pan_ds.bounds) - common_win = pan_win_.intersection(ms_ds.window(*ms_ds.bounds)) - assert common_win.round_offsets() == common_win - common_win = Window(*np.array(common_win.flatten(), dtype='int')) - common_bounds = ms_ds.window_bounds(common_win) else: - # The pan and MS pixel grids do not coincide. Find common pan and MS bounds, - # that lie on the pan and reprojected MS pixel grids. - logger.debug( - 'Multispectral image will be reprojected to coincide with the pan pixel grid.' - ) - res_fact = res_fact.round() - common_win = pan_ds.window(*pan_ds.bounds).intersection(ms_win_) - common_win = np.array(common_win.flatten()) - common_win = np.array( - (*np.ceil(common_win[:2]), *np.floor(common_win[-2:] / res_fact) * res_fact), - dtype='int', + # both pan and MS are georeferenced + # find shared bounds pan window + ms_bounds_ = transform_bounds(ms_ds.crs, pan_ds.crs, *ms_ds.bounds) + ms_win_ = pan_ds.window(*ms_bounds_) + if not intersect((ms_win_, pan_ds.window(*pan_ds.bounds))): + raise ValueError('Pan and multispectral bounds do not overlap.') + pan_win = ms_win_.intersection(pan_ds.window(*pan_ds.bounds)) + pan_win = common.expand_window_to_grid(pan_win) + + # find shared bounds MS window + pan_bounds_ = transform_bounds(pan_ds.crs, ms_ds.crs, *pan_ds.bounds) + pan_win_ = ms_ds.window(*pan_bounds_) + ms_win = pan_win_.intersection(ms_ds.window(*ms_ds.bounds)) + ms_win = common.expand_window_to_grid(ms_win) + + # test resolutions + pan_res = np.abs((pan_src_transform[0], pan_src_transform[4])) + ms_res = np.abs((ms_src_transform[0], ms_src_transform[4])) + if np.any(pan_res > ms_res): + raise ValueError( + f'Pan resolution: {tuple(pan_res.tolist())} exceeds multispectral resolution: ' + f'{tuple(ms_res.tolist())}.' ) - common_win = Window(*common_win) - common_bounds = pan_ds.window_bounds(common_win) - - # create the pan & MS resolution WarpedVRT profiles - pan_win = pan_ds.window(*common_bounds) - pan_win = Window(*np.array(pan_win.flatten(), dtype='int')) - pan_transform = pan_ds.window_transform(pan_win) - ms_size = (np.array((pan_win.width, pan_win.height)) / res_fact).astype('int') - ms_transform = pan_transform * rio.Affine.scale(*res_fact) - pan_profile = dict( + + # create the WarpedVRT profiles ('src_transform' items are required for + # un-georeferenced images) + profiles = {} + pan_transform = window_transform(pan_win, pan_src_transform) + ms_transform = window_transform(ms_win, ms_src_transform) + profiles['pan_to_pan'] = dict( crs=pan_ds.crs, + src_transform=pan_src_transform, transform=pan_transform, width=pan_win.width, height=pan_win.height, - dtype=PanSharpen._working_dtype, - nodata=PanSharpen._working_nodata, - num_threads=os.cpu_count(), ) - ms_profile = dict( - crs=pan_ds.crs, + profiles['ms_to_pan'] = profiles['pan_to_pan'].copy() + profiles['ms_to_pan'].update(src_transform=ms_src_transform) + + profiles['ms_to_ms'] = dict( + crs=ms_ds.crs, + src_transform=ms_src_transform, transform=ms_transform, - width=ms_size[0], - height=ms_size[1], - dtype=PanSharpen._working_dtype, - nodata=PanSharpen._working_nodata, - num_threads=os.cpu_count(), + width=ms_win.width, + height=ms_win.height, ) - return pan_profile, ms_profile + profiles['pan_to_ms'] = profiles['ms_to_ms'].copy() + profiles['pan_to_ms'].update(src_transform=pan_src_transform) + + # add common config items + for profile in profiles.values(): + profile.update( + dtype=PanSharpen._working_dtype, + nodata=PanSharpen._working_nodata, + num_threads=os.cpu_count(), + ) + return profiles @staticmethod def _block_windows( @@ -250,10 +276,9 @@ def get_tile_stats( # open MS & downsampled pan WarpedVRTs that lie on a MS resolution grid, and have # common bounds pan_im = ex_stack.enter_context( - WarpedVRT(pan_im, **self._ms_profile, resampling=Resampling.average) + WarpedVRT(pan_im, **self._profiles['pan_to_ms'], resampling=Resampling.average) ) - # reproject MS to pan_im grid if necessary - ms_im = ex_stack.enter_context(WarpedVRT(ms_im, **self._ms_profile, resampling=interp)) + ms_im = ex_stack.enter_context(WarpedVRT(ms_im, **self._profiles['ms_to_ms'])) # find tile stats in a thread pool and aggregate n = 0 @@ -298,6 +323,7 @@ def get_weights(cov: np.ndarray, weights: np.ndarray = None) -> np.ndarray: """Return normalised MS to pan weights. If ``weights`` is not provided, weights are estimated from the given pan / MS covariance. """ + # TODO: weights for different sections of the same image should be the ~same, but aren't if weights is None: # find the LS solution for the weights as described in section 2.2 & eq 6 weights = np.linalg.lstsq(cov[1:, 1:], cov[0, 1:].reshape(-1, 1), rcond=None)[0].T @@ -372,6 +398,8 @@ def get_pan_norm( bias = pan_sim_mean - (gain * pan_mean) return gain, bias + logger.debug(f"Pan / multispectral means: {means.round(4)}.") + logger.debug(f"Pan / multispectral covariance: \n{cov.round(4)}.") weights = get_weights(cov, weights=weights) logger.debug(f"Multispectral to pan weights: {tuple(weights.round(4).tolist())}.") coeffs = get_gs_coeffs(cov[1:, 1:], weights) @@ -495,23 +523,27 @@ def process( """ Pan-sharpen. - Image statistics are aggregated tile-by-tile and used to derive the Gramm-Schmidt - parameters in a first step. Then the pan-sharpened image is created tile-by-tile in a - second step. + The pan-sharpened image is created on the panchromatic pixel grid. Pan-sharpened image + bounds are the intersection of the panchromatic and multispectral image bounds. + + Pan-sharpening consists of two steps, both of which operate tile-by-tile:: + + # Derive the Gram-Schmidt parameters from image statistics. + # Generate the pan-sharpened image. :param out_file: - Output image file to create. Can be a path or URI string, or an + Pan-sharpened image file to create. Can be a path or URI string, or an :class:`~fsspec.core.OpenFile` object in binary mode (``'wb'``). :param pan_index: - Index of the pan band to use (1-based). + Index of the panchromatic band to use (1-based). :param ms_indexes: Indexes of the multispectral bands to use (1-based). If set to ``None`` (the default), all multispectral bands are used. :param weights: - Multi-spectral to pan weights. If set to ``None`` (the default), weights are + Multi-spectral to panchromatic weights. If set to ``None`` (the default), weights are estimated from the images. :param interp: - Interpolation method for resampling the multispectral image. + Interpolation method for upsampling the multispectral image. :param write_mask: Mask valid output pixels with an internal mask (``True``), or with a nodata value based on ``dtype`` (``False``). An internal mask helps remove nodata noise caused by @@ -532,7 +564,7 @@ def process( Whether to overwrite the output image if it exists. :param progress: Whether to display a progress bar monitoring the portion of tiles processed in each - step. Can be set to a sequence of two argument dictionaries defining a custom + step. Can be set to a sequence of two argument dictionaries that define a custom `tqdm `_ bar for each step. """ # set up progress bars @@ -562,11 +594,12 @@ def process( out_profile, write_mask = common.create_profile( dtype, compress=compress, write_mask=write_mask, colorinterp=ms_im.colorinterp ) + pan_profile = self._profiles['pan_to_pan'] out_profile.update( - crs=self._pan_profile['crs'], - transform=self._pan_profile['transform'], - width=self._pan_profile['width'], - height=self._pan_profile['height'], + crs=pan_profile['crs'], + transform=pan_profile['transform'], + width=pan_profile['width'], + height=pan_profile['height'], count=len(ms_indexes), ) out_im = exit_stack.enter_context( @@ -579,9 +612,9 @@ def process( # open pan & upsampled MS WarpedVRTs that lie on the pan resolution grid, and have # common bounds - pan_im = exit_stack.enter_context(WarpedVRT(pan_im, **self._pan_profile)) + pan_im = exit_stack.enter_context(WarpedVRT(pan_im, **self._profiles['pan_to_pan'])) ms_im = exit_stack.enter_context( - WarpedVRT(ms_im, **self._pan_profile, resampling=interp), + WarpedVRT(ms_im, **self._profiles['ms_to_pan'], resampling=interp), ) # pan sharpen tiles in a thread pool From 12974db99a75d40a2c4b149e5c16399239bea33e Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Tue, 6 Aug 2024 19:40:15 +0200 Subject: [PATCH 33/93] simplify file callbacks & add pan-sharpen command --- orthority/cli.py | 215 ++++++++++++++++++++++++++++++++++++++++++----- 1 file changed, 195 insertions(+), 20 deletions(-) diff --git a/orthority/cli.py b/orthority/cli.py index 6b514dd..df1becd 100644 --- a/orthority/cli.py +++ b/orthority/cli.py @@ -19,6 +19,7 @@ import logging import re import warnings +from functools import partial from pathlib import Path from urllib.parse import urlparse @@ -38,6 +39,7 @@ from orthority.factory import Cameras, FrameCameras, RpcCameras from orthority.fit import _default_rpc_refine_method from orthority.ortho import Ortho +from orthority.pan_sharp import PanSharpen from orthority.version import __version__ logger = logging.getLogger(__name__) @@ -169,7 +171,7 @@ def _src_files_cb( list of file paths / URIs, or a list of path / URI glob patterns. """ if not src_files or len(src_files) == 0: - return () + return [] try: src_files = fsspec.open_files(src_files, 'rb') except Exception as ex: @@ -179,23 +181,14 @@ def _src_files_cb( return src_files -def _raster_file_cb(ctx: click.Context, param: click.Parameter, path_uri: str) -> OpenFile: - """Click callback to convert a file path / URI to an OpenFile instance in binary read mode.""" +def _file_cb( + ctx: click.Context, param: click.Parameter, path_uri: str, mode: str = 'rb' +) -> OpenFile: + """Click callback to convert a file path / URI to an OpenFile instance.""" ofile = None if path_uri: try: - ofile = fsspec.open(path_uri, 'rb') - except Exception as ex: - raise click.BadParameter(str(ex), param=param) - return ofile - - -def _text_file_cb(ctx: click.Context, param: click.Parameter, path_uri: str) -> OpenFile: - """Click callback to convert a file path / URI to an OpenFile instance in text read mode.""" - ofile = None - if path_uri: - try: - ofile = fsspec.open(path_uri, 'rt') + ofile = fsspec.open(path_uri, mode) except Exception as ex: raise click.BadParameter(str(ex), param=param) return ofile @@ -259,7 +252,15 @@ def _gcp_refine_cb( ctx: click.Context, param: click.Parameter, path_uri: str | bool ) -> OpenFile | bool: """Click callback to parse the ``--gcp-refine`` option.""" - return _text_file_cb(ctx, param, path_uri) if path_uri != 'tags' else path_uri + return _file_cb(ctx, param, path_uri, mode='rt') if path_uri != 'tags' else path_uri + + +def _weights_cb(ctx: click.Context, param: click.Parameter, weights: list[float]): + """Click callback to validate the ``--weight`` option.""" + if weights is not None: + if np.any(weights_ := np.array(weights) < 0) or np.any(weights_ > 1): + raise click.BadParameter(f"Weight values should be 0-1.", param=param) + return weights def _ortho( @@ -357,7 +358,7 @@ def _ortho( 'dem_file', type=click.Path(dir_okay=False), default=None, - callback=_raster_file_cb, + callback=partial(_file_cb, mode='rb'), help='Path / URI of a DEM file covering the source image(s).', ) int_param_file_option = click.option( @@ -367,7 +368,7 @@ def _ortho( type=click.Path(dir_okay=False), required=True, default=None, - callback=_text_file_cb, + callback=partial(_file_cb, mode='rt'), help='Path / URI of an interior parameter file.', ) ext_param_file_option = click.option( @@ -377,7 +378,7 @@ def _ortho( type=click.Path(dir_okay=False), required=True, default=None, - callback=_text_file_cb, + callback=partial(_file_cb, mode='rt'), help='Path / URI of an exterior parameter file.', ) crs_option = click.option( @@ -850,7 +851,7 @@ def odm( 'rpc_param_file', type=click.Path(dir_okay=False), default=None, - callback=_text_file_cb, + callback=partial(_file_cb, mode='rt'), help='Path / URI of an Orthority RPC parameter file.', ) @click.option( @@ -963,6 +964,180 @@ def rpc( _ortho(src_files=src_files, cameras=cameras, crs=crs, **kwargs) +@cli.command( + cls=RstCommand, + short_help='Pan-sharpen.', + epilog='See https://orthority.readthedocs.io/ for more detail.', +) +@click.option( + '-p', + '--pan', + 'pan_file', + type=click.Path(dir_okay=False), + required=True, + default=None, + callback=partial(_file_cb, mode='rb'), + help='Path / URI of the panchromatic image.', +) +@click.option( + '-ms', + '--multispectral', + 'ms_file', + type=click.Path(dir_okay=False), + required=True, + default=None, + callback=partial(_file_cb, mode='rb'), + help='Path / URI of the multispectral image.', +) +@click.option( + '-of', + '--out_file', + type=click.Path(dir_okay=False), + required=True, + default=None, + callback=partial(_file_cb, mode='wb'), + help='Path / URI of the pan-sharpened image.', +) +@click.option( + '-pi', + '--pan-index', + type=click.INT, + default=PanSharpen._default_alg_config['pan_index'], + show_default=True, + help='Index of the panchromatic band to use (1 based).', +) +@click.option( + '-mi', + '--ms-index', + 'ms_indexes', + type=click.INT, + multiple=True, + default=PanSharpen._default_alg_config['ms_indexes'], + show_default='all bands', + help='Indexes of the multispectral bands to use (1 based).', +) +@click.option( + '-w', + '--weight', + 'weights', + type=click.FLOAT, + multiple=True, + default=PanSharpen._default_alg_config['weights'], + show_default='auto', + callback=_weights_cb, + help='Multispectral to panchromatic weights (0-1).', +) +@click.option( + '-i', + '--interp', + type=click.Choice(Interp, case_sensitive=False), + default=PanSharpen._default_alg_config['interp'], + show_default=True, + help=f'Interpolation method for upsampling the multispectral image.', +) +@write_mask_option +@click.option( + '-dt', + '--dtype', + type=click.Choice(list(common._nodata_vals.keys()), case_sensitive=False), + default=common._default_out_config['dtype'], + show_default='source image data type.', + help=f'Pan-sharpened image data type.', +) +@click.option( + '-cm', + '--compress', + type=click.Choice(Compress, case_sensitive=False), + default=common._default_out_config['compress'], + show_default="jpeg for uint8 --dtype, deflate otherwise", + help=f'Pan-sharpened image compression.', +) +@click.option( + '-bo/-nbo', + '--build-ovw/--no-build-ovw', + type=click.BOOL, + default=True, + show_default=True, + help='Build overviews for the pan-sharpened image.', +) +@overwrite_option +def sharpen( + pan_file: OpenFile, + ms_file: OpenFile, + pan_index: int, + ms_indexes: list[int], + weights: list[float], + **kwargs, +) -> None: + """ + Increases the resolution of a multispectral image to that of a panchromatic image using the + Gram-Schmidt method. + + Panchromatic and multispectral image bounds should overlap if they are georeferenced. If one + or both of the images are not georeferenced, they are assumed to having matching bounds. + + Panchromatic and multispectral images are specified with :option:`--pan ` + and :option:`--multispectral `, and the pan-sharpened output + with :option:`--out-file `:: + + oty sharpen --pan pan.tif --multispectral ms.tif --out-file pan_sharp.tif + + A subset of multispectral bands for sharpening can be specified with :option:`--ms-index + `:: + + oty sharpen -mi 3 -mi 2 -mi 1 --pan pan.tif --multispectral ms.tif --out-file pan_sharp.tif + + Multispectral to panchromatic weights are estimated from the images by default. User values + can be provided with :option:`--weight `. There should be as many + weights as multispectral bands:: + + oty sharpen -mi 3 -mi 2 -mi 1 -w 0.4 -w 0.5 -w 0.3 --pan pan.tif --multispectral ms.tif --out-file pan_sharp.tif + """ + # open pan & ms files + try: + pan_ctx = common.OpenRaster(pan_file, 'r') + except FileNotFoundError as ex: + raise click.BadParameter(str(ex), param_hint="'-p' / '--pan'") + + try: + ms_ctx = common.OpenRaster(ms_file, 'r') + except FileNotFoundError as ex: + raise click.BadParameter(str(ex), param_hint="'-ms' / '--multispectral'") + + with pan_ctx as pan_im, ms_ctx as ms_im: + # validate indexes + if pan_index <= 0 or pan_index > pan_im.count: + pan_name = common.get_filename(pan_im) + raise click.BadParameter( + f"Pan index {pan_index} is invalid for '{pan_name}' with {pan_im.count} band(s).", + param_hint="'-pi' / '--pan-index'", + ) + + if len(ms_indexes) > 0 and ( + np.any(ms_indexes_ := np.array(ms_indexes) <= 0) or np.any(ms_indexes_ > ms_im.count) + ): + ms_name = common.get_filename(ms_im) + raise click.BadParameter( + f"Multispectral indexes {tuple(ms_indexes)} contain invalid values for '{ms_name}' " + f"with {ms_im.count} band(s).", + param_hint="'-mi' / '--ms-index'", + ) + + # validate weights + ms_indexes = ms_im.indexes if len(ms_indexes) == 0 else ms_indexes + if len(weights) > 0 and len(weights) != len(ms_indexes): + raise ValueError( + f"There should be the same number of multispectral to panchromatic weights " + f"({len(weights)}) as multispectral indexes ({len(ms_indexes)})." + ) + + # pan sharpen + pan_sharp = PanSharpen(pan_im, ms_im) + pan_sharp.process( + pan_index=pan_index, ms_indexes=ms_indexes, weights=weights, progress=True, **kwargs + ) + + def _simple_ortho( src_im_file, dem_file, From 7168ff83a8497a31fa142c7152b0daddcc3bc072 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 14 Aug 2024 18:18:24 +0200 Subject: [PATCH 34/93] add GCP & pan sharp data and refactor downsampling - simplify and refactor all image downsampling - add EGM2008 vertical crs to NGI DEM - add GCPs to RPC image & create GCP file - fix RPC crop & downsample adjustment - add pan sharp images --- tests/data/create_test_data.py | 413 ++++++++++++++++++--------------- 1 file changed, 225 insertions(+), 188 deletions(-) diff --git a/tests/data/create_test_data.py b/tests/data/create_test_data.py index 4632a2d..96463c2 100644 --- a/tests/data/create_test_data.py +++ b/tests/data/create_test_data.py @@ -1,21 +1,25 @@ """Functions to create NGI & ODM test data sets.""" +from __future__ import annotations + import csv import json -import multiprocessing -import re +import os from pathlib import Path import numpy as np import rasterio as rio -import rasterio.windows from rasterio.enums import Resampling -from rasterio.transform import GCPTransformer -from rasterio.warp import reproject, transform_bounds +from rasterio.transform import GCPTransformer, GroundControlPoint +from rasterio.vrt import WarpedVRT +from rasterio.warp import transform_bounds +from rasterio.windows import Window +from orthority import common from orthority import param_io -from orthority.common import expand_window_to_grid +from orthority.enums import Compress from orthority.exif import Exif +from orthority.factory import RpcCameras ngi_src_root = Path('V:/Data/SimpleOrthoEgs/NGI_3324C_2015_Baviaans/') ngi_test_root = Path('C:/Data/Development/Projects/orthority/tests/data/ngi') @@ -23,138 +27,108 @@ odm_src_root = Path('V:/Data/SimpleOrthoEgs/20190411_Miaoli_Toufeng_Tuniu-River') odm_test_root = Path('C:/Data/Development/Projects/orthority/tests/data/odm') -io_root = Path('C:/Data/Development/Projects/orthority/tests/data/io') +rpc_src_root = Path('V:/Data/SimpleOrthoEgs/QB2_Nov_2003_MpSite') +rpc_test_root = Path('C:/Data/Development/Projects/orthority/tests/data/rpc') -rpc_src_root = Path( - 'D:/Data/Development/Projects/PhD GeoInformatics/Data/Digital Globe/056844553010_01' - '/056844553010_01_P001_PAN/' -) +pan_sharp_test_root = Path('C:/Data/Development/Projects/orthority/tests/data/pan_sharp') -rpc_test_root = Path('C:/Data/Development/Projects/orthority/tests/data/rpc') -# TODO: save images as COGs to optimise URL tests and doc egs +io_root = Path('C:/Data/Development/Projects/orthority/tests/data/io') -def downsample_rgb( +def downsample_image( src_file: Path, dst_file: Path, - ds_fact: int = 4, - scale_clip: float = None, - strip_dewarp: bool = False, + src_indexes: int | list[int] = None, + src_win: Window = None, + ds_fact: float = 4.0, + crs: str | rio.CRS = None, + dtype: str | np.dtype = None, + compress: str | Compress = None, + scale: float = None, + copy_tags: bool = False, + **kwargs, # destination creation options ): - """Downsample `src_file` by `ds_fact`, scale & clip to `scale_clip` and write to uint8 jpeg - geotiff `dst_file`. - """ + """Read and reproject / downsample ``src_file``, and write to ``dst_file``.""" + dst_file = Path(dst_file) with rio.Env(GDAL_NUM_THREADS='ALL_CPUS', GTIFF_FORCE_RGBA=False), rio.open( src_file, 'r' ) as src_im: - # raise error if aspect ratio will not be maintained - if not np.all(np.mod(src_im.shape, ds_fact) == 0): - raise ValueError(f'Source dimensions {src_im.shape} are not a multiple of {ds_fact}.') - - # create destination profile (note: copying xmp metadata requires driver='GTiff' ( - # possible rasterio bug ?)) - dst_shape = tuple((np.array(src_im.shape) / ds_fact).astype('int')) - dst_profile = src_im.profile.copy() - if dst_profile.get('crs', None): - dst_profile['transform'] *= rio.Affine.scale( - (src_im.width / dst_shape[1]), (src_im.height / dst_shape[0]) - ) - dst_profile.update( - width=dst_shape[1], - height=dst_shape[0], - count=3, - compress='jpeg', - interleave='pixel', - photometric='ycbcr', - tiled=True, - blockxsize=256, - blockysize=256, - dtype='uint8', - driver='GTiff', + # set up WarpedVRT params + src_indexes = src_indexes or src_im.indexes + src_win = src_win or Window(0, 0, src_im.width, src_im.height) + crs = crs or src_im.crs + dtype = dtype or src_im.dtypes[0] + transform = ( + src_im.transform + * rio.Affine.translation(src_win.col_off, src_win.row_off) + * rio.Affine.scale(ds_fact) ) - with rio.open(dst_file, 'w', **dst_profile) as dst_im: - # copy metadata - dst_im.update_tags(**src_im.tags()) - for namespace in src_im.tag_namespaces(): - # note there is an apparent rio/gdal bug with ':' in the 'xml:XMP' namspace/ tag - # name, where 'xml:XMP=' gets prefixed to the value - ns_dict = src_im.tags(ns=namespace) - if strip_dewarp and namespace == 'xml:XMP': - ns_dict[namespace] = re.sub( - r'[ ]*?drone-dji:DewarpData(.*?)"\n', '', ns_dict[namespace] - ) - dst_im.update_tags(ns=namespace, **ns_dict) - - for index in dst_im.indexes: - dst_im.update_tags(index, **src_im.tags(index)) - # copy image data, scaling and clipping if required - array = src_im.read( - indexes=dst_im.indexes, out_shape=dst_shape, resampling=rio.enums.Resampling.cubic - ) - if scale_clip: - array = np.clip(array * scale_clip, 0, 255) - dst_im.write(array) - - -def downsample_dem( - src_file: Path, dst_file: Path, ds_fact: int = 8, bounds: tuple = None, dst_crs: rio.CRS = None -): - """ - Downsample `src_file` by `ds_fact`, cropping to `bounds` if specified. - - Write to float32 deflate geotiff `dst_file`. - """ - nodata = float('nan') - with rio.Env(GDAL_NUM_THREADS='ALL_CPUS', GTIFF_FORCE_RGBA=False), rio.open( - src_file, 'r' - ) as src_im: - if bounds: - src_win = expand_window_to_grid(src_im.window(*bounds)) - src_transform = src_im.window_transform(src_win) - else: - src_win = rio.windows.Window(0, 0, *src_im.shape[::-1]) - src_transform = src_im.transform - - src_array = src_im.read(window=src_win) - - # reproject rather than read(out_shape=...) to ensure square pixels - dst_crs = dst_crs or src_im.crs - dst_array, dst_transform = reproject( - src_array, - src_crs=src_im.crs, - src_transform=src_transform, - src_nodata=src_im.nodata, - dst_crs=dst_crs, - dst_nodata=nodata, - dst_resolution=(round(np.abs(src_transform.a) * ds_fact, 2),) * 2, - resampling=Resampling.cubic, - init_dest_nodata=True, - num_threads=multiprocessing.cpu_count(), + # create initial destination profile (to get nodata value) + colorinterp = [src_im.colorinterp[ci - 1] for ci in src_indexes] + profile, _ = common.create_profile( + dtype, compress=compress, write_mask=False, colorinterp=colorinterp ) - dst_profile = src_im.profile.copy() - dst_profile.update( - crs=dst_crs, - width=dst_array.shape[-1], - height=dst_array.shape[-2], - transform=dst_transform, - compress='deflate', - interleave='band', - tiled=True, - blockxsize=256, + if src_im.nodata is None: + profile.update(nodata=None) + if profile['compress'] == 'deflate': + profile.update(predictor=2, zlevel=9) + + # read, crop and reproject source (use WarpedVRT, rather than + # DatasetReader.read(out_shape=) which uses overviews possibly resampled with a different + # method and/or on a different grid) + with WarpedVRT( + src_im, + crs=crs, + transform=transform, + width=int(np.ceil(src_win.width / ds_fact)), + height=int(np.ceil(src_win.height / ds_fact)), + nodata=profile['nodata'], + dtype='float64', + resampling=Resampling.average, + num_threads=os.cpu_count(), + ) as src_im_: + array = src_im_.read(indexes=src_indexes) + + # update profile with spatial / dimensional items + profile.update( + crs=crs, + transform=transform if not src_im.transform.is_identity else None, + count=array.shape[0], + width=array.shape[2], + height=array.shape[1], + blockxsize=256, # use original tile config blockysize=256, - dtype='float32', - driver='GTiff', - predictor=2, - zlevel=9, - nodata=nodata, ) - with rio.open(dst_file, 'w', **dst_profile) as dst_im: - dst_im.write(dst_array) + + # scale and clip the image array + if scale: + array *= scale + if np.issubdtype(dtype, np.integer): + array = array.round() + info = np.iinfo(dtype) + array = array.clip(info.min, info.max) + array = array.astype(dtype, copy=False) + + # write destination file + dst_file.unlink(missing_ok=True) + dst_file.with_suffix(dst_file.suffix + '.aux.xml').unlink(missing_ok=True) + with common.OpenRaster(dst_file, 'w', **profile, **kwargs) as dst_im: + if copy_tags: + # copy metadata + dst_im.update_tags(**src_im.tags()) + for namespace in src_im.tag_namespaces(): + # note there is an apparent rio/gdal bug with ':' in the 'xml:XMP' namespace/ tag + # name, where 'xml:XMP=' gets prefixed to the value + ns_dict = src_im.tags(ns=namespace) + dst_im.update_tags(ns=namespace, **ns_dict) + for index in dst_im.indexes: + dst_im.update_tags(index, **src_im.tags(index)) + + dst_im.write(array) def create_ngi_test_data(): - # TODO: abbreviate and capitalise source file names (+ in exterior param files) src_rgb_files = [ '3324c_2015_1004_05_0182_RGBN_CMP.tif', '3324c_2015_1004_05_0184_RGBN_CMP.tif', @@ -167,25 +141,34 @@ def create_ngi_test_data(): # downsample rgb images ngi_test_root.mkdir(exist_ok=True, parents=True) for src_rgb_file in src_rgb_files: - dst_rgb_file = ngi_test_root.joinpath(src_rgb_file[:-9]).with_suffix('.tif') - src_rgb_file = ngi_src_root.joinpath(src_rgb_file) - if dst_rgb_file.exists(): - dst_rgb_file.unlink() - dst_rgb_file.with_suffix(dst_rgb_file.suffix + '.aux.xml').unlink(missing_ok=True) - downsample_rgb(src_rgb_file, dst_rgb_file, ds_fact=ds_fact, scale_clip=(255 / 3000)) + src_rgb_file = ngi_src_root.joinpath('Source', src_rgb_file) + dst_rgb_file = ngi_test_root.joinpath(src_rgb_file.name[:-9]).with_suffix('.tif') + downsample_image( + src_rgb_file, + dst_rgb_file, + src_indexes=[1, 2, 3], + ds_fact=ds_fact, + dtype='uint8', + scale=255 / 3000, + ) # downsample dem - with rio.open(ngi_src_root.joinpath(src_rgb_files[0]), 'r') as src_im: - dst_crs = src_im.crs - src_dem_file = ngi_src_root.joinpath(dem_file) + with rio.open(ngi_src_root.joinpath('Source', src_rgb_files[0]), 'r') as src_im: + # DEM heights (and NGI external params) are EGM2008 but lack a vertical CRS. This adds a + # vertical component to the 2D CRS, which is used for converting to ellipsoidal heights + # when this DEM is used for RPC orthorectification. + dst_wkt = ( + f'COMPD_CS["Lo25 WGS84 + EGM2008 height", {src_im.crs.to_wkt()}, VERT_CS[' + f'"EGM2008 height", VERT_DATUM["EGM2008 geoid",2005], UNIT["metre",1]]]' + ) + dst_crs = rio.CRS.from_wkt(dst_wkt) + + src_dem_file = ngi_src_root.joinpath('DEM', dem_file) dst_dem_file = ngi_test_root.joinpath('dem.tif') - if dst_dem_file.exists(): - dst_dem_file.unlink() - dst_dem_file.with_suffix(dst_dem_file.suffix + '.aux.xml').unlink(missing_ok=True) - downsample_dem(src_dem_file, dst_dem_file, bounds=None, ds_fact=ds_fact, dst_crs=dst_crs) + downsample_image(src_dem_file, dst_dem_file, ds_fact=ds_fact, crs=dst_crs, dtype='float32') # copy & convert csv exterior params - src_ext_file = ngi_src_root.joinpath('camera_pos_ori.txt') + src_ext_file = ngi_src_root.joinpath('Parameters/camera_pos_ori.txt') dst_ext_file = ngi_test_root.joinpath('camera_pos_ori.txt') if dst_ext_file.exists(): dst_ext_file.unlink() @@ -225,10 +208,7 @@ def create_odm_test_data(): for src_rgb_file in src_rgb_files: dst_rgb_file = odm_test_root.joinpath('images', src_rgb_file).with_suffix('.tif') src_rgb_file = odm_src_root.joinpath('images', src_rgb_file) - if dst_rgb_file.exists(): - dst_rgb_file.unlink() - dst_rgb_file.with_suffix(dst_rgb_file.suffix + '.aux.xml').unlink(missing_ok=True) - downsample_rgb(src_rgb_file, dst_rgb_file, ds_fact=4) + downsample_image(src_rgb_file, dst_rgb_file, ds_fact=4, dtype='uint8', copy_tags=True) # get bounds covering orthos of src files def bounds_union(bounds1, bounds2): @@ -244,12 +224,11 @@ def bounds_union(bounds1, bounds2): # crop and downsample dem odm_test_root.joinpath('odm_dem').mkdir(exist_ok=True, parents=True) dst_dem_file = odm_test_root.joinpath('odm_dem', 'dsm.tif') - if dst_dem_file.exists(): - dst_dem_file.unlink() - dst_dem_file.with_suffix(dst_dem_file.suffix + '.aux.xml').unlink(missing_ok=True) - downsample_dem( - odm_src_root.joinpath('odm_dem', 'dsm.tif'), dst_dem_file, bounds=bounds, ds_fact=16 - ) + src_dem_file = odm_src_root.joinpath('odm_dem', 'dsm.tif') + with rio.open(src_dem_file, 'r') as dem_im: + win = dem_im.window(*bounds) + win = common.expand_window_to_grid(win) + downsample_image(src_dem_file, dst_dem_file, src_win=win, ds_fact=16, dtype='float32') # copy relevant parts of opensfm reconstruction file with image size conversion src_rec_file = odm_src_root.joinpath('opensfm/reconstruction.json') @@ -275,64 +254,121 @@ def bounds_union(bounds1, bounds2): def create_rpc_test_data(): src_file = '03NOV18082012-P1BS-056844553010_01_P001.TIF' + gcp_file = 'pan_gcps.geojson' rpc_test_root.mkdir(exist_ok=True) dem_file = ngi_test_root.joinpath('dem.tif') + test_file = 'qb2_basic1b.tif' # read ngi dem bounds & crs with rio.open(dem_file, 'r') as dem_im: dem_bounds = dem_im.bounds dem_crs = dem_im.crs - # read cropped & downsampled portion of source image lying inside dem bounds + # find window corresponding to dem bounds (with an inner buffer) ds_fact = 10.0 - rpc_src_file = rpc_src_root.joinpath(src_file) + rpc_src_file = rpc_src_root.joinpath('Source', src_file) with rio.open(rpc_src_file, 'r') as src_im: rpcs = src_im.rpcs - gcps = src_im.gcps - - # find window corresponding to dem bounds (inner buffer of 1000) - bounds = transform_bounds(dem_crs, gcps[1], *dem_bounds) - with GCPTransformer(gcps[0]) as tform: - ul = np.round(tform.rowcol(bounds[0], bounds[3])[::-1], -2) + 1000 - br = np.round(tform.rowcol(bounds[2], bounds[1])[::-1], -2) - 1000 - win = rio.windows.Window(*ul, *(br - ul)) - - # read window & downsample - shape = np.round((1, win.height / ds_fact, win.width / ds_fact)).astype('int') - array = src_im.read(window=win, resampling=rio.enums.Resampling.average, out_shape=shape) - - # adjust rpcs for crop and downsample - rpcs.line_off = (rpcs.line_off - win.row_off) / ds_fact - rpcs.samp_off = (rpcs.samp_off - win.col_off) / ds_fact + bounds = np.array(transform_bounds(dem_crs, src_im.gcps[1], *dem_bounds)) + buf_bounds = (*(bounds[:2] + 0.012), *(bounds[2:] - 0.012)) + with GCPTransformer(src_im.gcps[0]) as tform: + ul = np.round(tform.rowcol(buf_bounds[0], buf_bounds[3])[::-1], -2) + br = np.round(tform.rowcol(buf_bounds[2], buf_bounds[1])[::-1], -2) + win = Window(*ul, *(br - ul)) + win = win.intersection(Window(0, 0, src_im.width, src_im.height)) + win = common.expand_window_to_grid(win) + + # read field GCPs (center pixel coord convention) + gcps = param_io.read_oty_gcps(rpc_src_root.joinpath('GCP', gcp_file)) + gcps = next(iter(gcps.values())) + + # choose GCP inliers (to improve refinement and prevent weird QGIS renderings) + cameras = RpcCameras.from_images((rpc_src_file,)) + camera = cameras.get(rpc_src_file) + xyz = np.array([gcp_dict['xyz'] for gcp_dict in gcps]).T + ji_rpc = camera.world_to_pixel(xyz) + ji_gcp = np.array([gcp_dict['ji'] for gcp_dict in gcps]).T + off = ji_gcp - ji_rpc + off_med = np.median(off, axis=1) + off_dist = np.sum((off - off_med.reshape(-1, 1)) ** 2, axis=0) + inlier_idx = np.argsort(off_dist)[:5] + gcps = [gcps[i] for i in inlier_idx] + + # adjust GCPs for crop and downsample + for gcp in gcps: + # +0.5 converts center to UL pixel coords so that they can be scaled. then -0.5 + # converts back from UL to center pixel coords as expected by param_io.write_gcps() + gcp['ji'] = (gcp['ji'] - np.array((win.col_off, win.row_off)) + 0.5) / ds_fact - 0.5 + + # convert GCPs to rasterio format for storing in image metadata + rio_gcps = [] + for gcp in gcps: + # +0.5 converts from center to UL pixel convention as used by oty/QGIS/QB2 for image + # metadata GCPs + ij = (gcp['ji'][1] + 0.5, gcp['ji'][0] + 0.5) + rio_gcps.append(GroundControlPoint(*ij, *gcp['xyz'], gcp['id'], gcp['info'])) + + # adjust existing metadata GCPs for crop and downsample + # rio_gcps = src_im.gcps[0] + # for gcp in rio_gcps: + # gcp.col = (gcp.col - win.col_off) / ds_fact + # gcp.row = (gcp.row - win.row_off) / ds_fact + + # adjust RPCs for crop and downsample (see GCP comments for +-0.5 notes) + rpcs.line_off = (rpcs.line_off - win.row_off + 0.5) / ds_fact - 0.5 + rpcs.samp_off = (rpcs.samp_off - win.col_off + 0.5) / ds_fact - 0.5 rpcs.line_scale /= ds_fact rpcs.samp_scale /= ds_fact - # adjust gcps for crop and downsample - for gcp in gcps[0]: - gcp.row = (gcp.row - win.row_off) / ds_fact - gcp.col = (gcp.col - win.col_off) / ds_fact - - # setup test image profile - rpc_test_file = rpc_test_root.joinpath('qb2_basic1b.tif') - profile = dict( - width=array.shape[2], - height=array.shape[1], - count=array.shape[0], - compress='jpeg', - tiled=True, - blockxsize=256, - blockysize=256, + # crop and downsample image, and write to test_file with RPC and GPC metadata + rpc_test_file = rpc_test_root.joinpath(test_file) + downsample_image( + rpc_src_file, + rpc_test_file, + src_win=win, + ds_fact=ds_fact, + crs='EPSG:4979', dtype='uint8', - driver='GTiff', - crs=gcps[1], - gcps=gcps[0], - rpcs=rpcs, # NB: there is a rio/GDAL bug if RPCs are passed as a dict to rio.open() + compress='jpeg', + scale=255 / 700, + rpcs=rpcs, + gcps=rio_gcps, + ) + + # create oty format GCP file for test image + param_io.write_gcps( + rpc_test_root.joinpath('gcps.geojson'), {rpc_test_file.name: gcps}, overwrite=True ) - # scale 10-255 & write - array = 10.0 + (255.0 - 10.0) * (array - array.min()) / (array.max() - array.min()) - with rio.open(rpc_test_file, 'w', **profile) as dst_im: - dst_im.write(array.astype('uint8')) + # create oty format rpc param file for test image + rpc_param_dict = param_io.read_im_rpc_param([rpc_test_file]) + param_io.write_rpc_param( + rpc_test_root.joinpath('rpc_param.yaml'), rpc_param_dict, overwrite=True + ) + + +def create_pan_sharp_data(): + pan_sharp_test_root.mkdir(exist_ok=True) + src_file = odm_src_root.joinpath('images/100_0005_0140.jpg') + + # dowsample the source image to temporary pan res RGB + temp_file = pan_sharp_test_root.joinpath('temp.tif') + downsample_image(src_file, temp_file, ds_fact=4, compress='deflate') + + # convert pan res RGB to pan + pan_test_file = pan_sharp_test_root.joinpath('pan.tif') + with rio.open(temp_file, 'r') as temp_im: + profile = temp_im.profile + profile.update(count=1, photometric=None, interleave='pixel', compress='jpeg') + temp_array = temp_im.read() + pan_array = temp_array.mean(axis=0).round().astype('uint8') + with rio.open(pan_test_file, 'w', **profile) as pan_im: + pan_im.write(pan_array, indexes=1) + + # downsample the source image to ms res (deflate compression gives more accurate ms to pan + # weights) + ms_test_file = pan_sharp_test_root.joinpath('ms.tif') + downsample_image(src_file, ms_test_file, ds_fact=16, compress='deflate') def create_io_test_data(): @@ -411,7 +447,8 @@ def create_io_test_data(): if __name__ == '__main__': - # create_odm_test_data() - # create_ngi_test_data() + create_odm_test_data() + create_ngi_test_data() create_rpc_test_data() - # create_io_test_data() + create_pan_sharp_data() + create_io_test_data() From f7cebd8dabddec02ffe7d8907dfc49c5738c00a7 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 14 Aug 2024 18:20:02 +0200 Subject: [PATCH 35/93] pixel interleave on single band images for win image viewer support --- orthority/common.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/orthority/common.py b/orthority/common.py index a9a1f15..71898b5 100644 --- a/orthority/common.py +++ b/orthority/common.py @@ -83,9 +83,7 @@ def expand_window_to_grid(win: Window, expand_pixels: tuple[int, int] = (0, 0)) row_off, row_frac = np.divmod(win.row_off - expand_pixels[0], 1) width = np.ceil(win.width + 2 * expand_pixels[1] + col_frac) height = np.ceil(win.height + 2 * expand_pixels[0] + row_frac) - exp_win = Window( - col_off.astype('int'), row_off.astype('int'), width.astype('int'), height.astype('int') - ) + exp_win = Window(int(col_off), int(row_off), int(width), int(height)) return exp_win @@ -387,6 +385,7 @@ def create_profile( dimension profile items are not set i.e. ``crs``, ``transform``, ``width``, ``height`` & ``count``. """ + # TODO: add support for LZW and if possible WEBP compression and COG driver colorinterp = colorinterp or [] profile = {} @@ -418,6 +417,8 @@ def create_profile( interleave, photometric = ('pixel', 'ycbcr') elif colorinterp[:3] == [ColorInterp.red, ColorInterp.green, ColorInterp.blue]: interleave, photometric = ('band', 'rgb') + elif len(colorinterp) == 1: + interleave, photometric = ('pixel', None) else: interleave, photometric = ('band', None) From a26cd0e95c33d725286b862d24efe1bbacf692dd Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 14 Aug 2024 19:13:57 +0200 Subject: [PATCH 36/93] change --gcp-refine to work in front of an arg --- orthority/cli.py | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/orthority/cli.py b/orthority/cli.py index df1becd..a691df0 100644 --- a/orthority/cli.py +++ b/orthority/cli.py @@ -252,7 +252,9 @@ def _gcp_refine_cb( ctx: click.Context, param: click.Parameter, path_uri: str | bool ) -> OpenFile | bool: """Click callback to parse the ``--gcp-refine`` option.""" - return _file_cb(ctx, param, path_uri, mode='rt') if path_uri != 'tags' else path_uri + return ( + _file_cb(ctx, param, path_uri, mode='rt') if str(path_uri).lower() != 'tags' else path_uri + ) def _weights_cb(ctx: click.Context, param: click.Parameter, weights: list[float]): @@ -857,12 +859,11 @@ def odm( @click.option( '-gr', '--gcp-refine', - is_flag=False, - flag_value='tags', + type=click.Path(dir_okay=False), default=None, callback=_gcp_refine_cb, - help='Refine camera model(s) with GCP(s). Can be supplied without a value to read GCPs from ' - 'source image tags, or with the path / URI value of an Orthority format GCP file.', + help="Refine camera model(s) with GCP(s). Can be supplied with the path / URI value of an " + "Orthority format GCP file, or with 'tags' to read GCPs from source image tags.", ) @click.option( '-rm', @@ -952,7 +953,7 @@ def rpc( if gcp_refine is not None: # refine model(s) with GCPs ref_kwargs = dict(method=refine_method) - if gcp_refine == 'tags': + if str(gcp_refine).lower() == 'tags': # set up progress bar args tqdm_kwargs = common.get_tqdm_kwargs(desc='Reading GCPs', unit='files', leave=False) From 3062b42816879beee348c6f09ab1d8bf108ca071 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Thu, 15 Aug 2024 22:11:35 +0200 Subject: [PATCH 37/93] fix RPC adjustment for shift_drift method --- orthority/fit.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/orthority/fit.py b/orthority/fit.py index 0828aa1..0ecee40 100644 --- a/orthority/fit.py +++ b/orthority/fit.py @@ -38,7 +38,7 @@ def refine_rpc( Finds the least squares solution to the "shift" and "shift-and-drift" bias compensation refinements described in https://doi.org/10.1016/j.isprsjprs.2005.11.001, for a single image, - and incorporates this into the provided RPC model. The approach is suited to narrow field + and incorporate this into the provided RPC model. The approach is suited to narrow field of view satellite imagery. :param rpc: @@ -52,8 +52,10 @@ def refine_rpc( :return: Refined RPC parameters as a dictionary. """ - # TODO: robustness to outliers, maybe with optional inclusion of scipy - # TODO: full affine model, or the method described in https://doi.org/10.14358/PERS.75.9.1083 + # TODO: + # - robustness to outliers, maybe with optional inclusion of scipy + # - full affine model, or the method described in https://doi.org/10.14358/PERS.75.9.1083 + # - fit evaluation with warnings method = RpcRefine(method) camera = RpcCamera(None, rpc) rpc = rpc.to_dict() if isinstance(rpc, RPC) else rpc @@ -83,14 +85,14 @@ def _norm_ji(rpc: dict, ji: np.ndarray) -> np.ndarray: refine_tform[:, -1] = off.mean(axis=1) else: for axis in range(2): - ji_rpc_ = np.row_stack((ji_rpc[axis], np.ones((ji_rpc.shape[1])))) + ji_rpc_ = np.vstack((ji_rpc[axis], np.ones((ji_rpc.shape[1])))) (m, c), res, rank, s = np.linalg.lstsq(ji_rpc_.T, ji_gcp[axis], rcond=None) refine_tform[axis, axis] = m refine_tform[axis, 2] = c if logger.getEffectiveLevel() <= logging.DEBUG: # log the refinement transform and accuracy - ji_rpc_ = np.row_stack((ji_rpc, np.ones(ji_rpc.shape[1]))) + ji_rpc_ = np.vstack((ji_rpc, np.ones(ji_rpc.shape[1]))) ji_refine = refine_tform.dot(ji_rpc_) err = ((ji_gcp - ji_refine).T * (rpc['samp_scale'], rpc['line_scale'])).T # pixels err_dist = np.sum(err**2, axis=0) @@ -107,8 +109,6 @@ def _norm_ji(rpc: dict, ji: np.ndarray) -> np.ndarray: range(2), ['samp_num_coeff', 'line_num_coeff'], ['samp_den_coeff', 'line_den_coeff'] ): refined_rpc[num_key] = np.array(refined_rpc[num_key]) * refine_tform[axis, axis] - refined_rpc[den_key] = np.array(refined_rpc[den_key]) * refine_tform[axis, axis] - refined_rpc[num_key] += refined_rpc[den_key] * refine_tform[axis, 2] + refined_rpc[num_key] += np.array(refined_rpc[den_key]) * refine_tform[axis, 2] refined_rpc[num_key] = refined_rpc[num_key].tolist() - refined_rpc[den_key] = refined_rpc[den_key].tolist() return refined_rpc From 2d2092ac1cf29f5f1577cd0c8a8c8c8733817cfa Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Thu, 15 Aug 2024 22:12:41 +0200 Subject: [PATCH 38/93] add RPC refinement tests --- tests/test_fit.py | 69 +++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 69 insertions(+) create mode 100644 tests/test_fit.py diff --git a/tests/test_fit.py b/tests/test_fit.py new file mode 100644 index 0000000..955dd55 --- /dev/null +++ b/tests/test_fit.py @@ -0,0 +1,69 @@ +import numpy as np +import pytest +from rasterio.rpc import RPC + +from orthority import fit +from orthority.camera import RpcCamera +from orthority.enums import RpcRefine + + +@pytest.mark.parametrize('shift, drift', [((5.0, 10.0), None), ((5.0, 10.0), (1.2, 0.8))]) +def test_refine_rpc( + rpc: dict, im_size: tuple[int, int], shift: tuple[float, float], drift: tuple[float, float] +): + """Test refine_rpc() correctly refines an RPC model by testing it against refinement GCPs.""" + # create affine transform to realise shift & drift + method = RpcRefine.shift if not drift else RpcRefine.shift_drift + drift = (1.0, 1.0) if not drift else drift + refine_tform = np.eye(2, 3) + refine_tform[:, -1] = shift + refine_tform[:, :2] = np.diag(drift) + + # generate GCPs randomly spread over the image, with known pixel shift/drift + n = 10 + camera = RpcCamera(im_size, rpc) + ji_rpc = (np.random.rand(2, n) - 0.5) * np.array([im_size]).T + z = rpc['height_off'] / 2 + (np.random.rand(ji_rpc.shape[1]) * rpc['height_off'] / 4) + xyz = camera.pixel_to_world_z(ji_rpc, z) + + ji_rpc_ = np.vstack((ji_rpc, np.ones(ji_rpc.shape[1]))) + ji_gcp = refine_tform.dot(ji_rpc_) + gcps = [] + for ji_pt, xyz_pt in zip(ji_gcp.T, xyz.T): + gcp = dict(ji=tuple(ji_pt.tolist()), xyz=tuple(xyz_pt.tolist())) + gcps.append(gcp) + + # refine RPC with GCPs + refined_rpc = fit.refine_rpc(rpc, gcps, method=method) + + # test refined RPC model against original GCPs + refined_camera = RpcCamera(im_size, refined_rpc) + xyz_test = refined_camera.pixel_to_world_z(ji_gcp, z) + assert xyz_test == pytest.approx(xyz, abs=1e-6) + + +def test_refine_rpc_type(rpc: dict): + """Test refine_rpc() works with an RPC dict or :class:`~rasterio.rpc.RPC` object.""" + gcp = dict( + ji=(rpc['samp_off'], rpc['line_off']), + xyz=(rpc['long_off'], rpc['lat_off'], rpc['height_off']), + ) + fit.refine_rpc(rpc, [gcp]) + fit.refine_rpc(RPC(**rpc), [gcp]) + + +@pytest.mark.parametrize('method, min_gcps', [(RpcRefine.shift, 1), (RpcRefine.shift_drift, 2)]) +def test_refine_num_gcps(rpc: dict, im_size: tuple[int, int], method: RpcRefine, min_gcps: int): + """Test refine_rpc() works with the minimum allowed GCPs and raises an error otherwise.""" + camera = RpcCamera(im_size, rpc) + gcps = [] + for i in range(min_gcps): + ji = np.array([rpc['samp_off'], rpc['line_off']]) + np.random.randn(2) * 10 + xyz = camera.pixel_to_world_z(ji.reshape(-1, 1), z=rpc['height_off']).T + gcp = dict(ji=(*ji,), xyz=(*xyz.squeeze(),)) + gcps.append(gcp) + + fit.refine_rpc(RPC(**rpc), gcps, method=method) + with pytest.raises(ValueError) as ex: + fit.refine_rpc(rpc, gcps[:-1], method=method) + assert 'At least' in str(ex.value) From 9d9257e98603d26a51426b86c587f9878b7c32ba Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Sun, 18 Aug 2024 20:07:33 +0200 Subject: [PATCH 39/93] use center pixel convention for all GCP formats --- orthority/param_io.py | 43 ++++++++++++++++++++----------------------- 1 file changed, 20 insertions(+), 23 deletions(-) diff --git a/orthority/param_io.py b/orthority/param_io.py index 2f4ad23..225d0cc 100644 --- a/orthority/param_io.py +++ b/orthority/param_io.py @@ -242,7 +242,7 @@ def parse_yaml_param(yaml_param: dict, cam_id: str = None) -> dict[str, Any]: int_param.update(**yaml_param) return int_param - # flatten if in original simple-ortho format + # warn if in original simple-ortho format if 'camera' in yaml_dict: warnings.warn( "Support for the 'config.yaml' format is deprecated and will be removed in future. " @@ -251,7 +251,7 @@ def parse_yaml_param(yaml_param: dict, cam_id: str = None) -> dict[str, Any]: ) yaml_dict = yaml_dict['camera'] - # convert to nested dict if in flat format + # convert to nested dict if in flat / simple-ortho format first_value = next(iter(yaml_dict.values())) if not isinstance(first_value, dict): cam_id = yaml_dict['name'] if 'name' in yaml_dict else 'unknown' @@ -362,23 +362,23 @@ def read_oty_rpc_param(file: str | PathLike | OpenFile | IO[str]) -> dict[str, d # template to test yaml_dict items against schema = dict( im_size=list, - rpc=dict( - height_off=float, - height_scale=float, - lat_off=float, - lat_scale=float, + rpc=dict( + height_off=float, + height_scale=float, + lat_off=float, + lat_scale=float, line_den_coeff=[float], line_num_coeff=[float], - line_off=(int, float), - line_scale=(int, float), - long_off=float, - long_scale=float, + line_off=(int, float), + line_scale=(int, float), + long_off=float, + long_scale=float, samp_den_coeff=[float], samp_num_coeff=[float], - samp_off=(int, float), - samp_scale=(int, float), - ), - ) + samp_off=(int, float), + samp_scale=(int, float), + ), + ) # validate and convert yaml_dict rpc_param_dict = {} @@ -431,15 +431,13 @@ def _read_im_gcps( if crs != _default_lla_crs: xyz = np.array(transform(crs, _default_lla_crs, *xyz)) - # convert to standard format dicts + # Convert to standard format dicts. GDAL leaves it to the application to interpret GCP + # pixel coordinates as upper left or center conventions: + # https://gdal.org/user/raster_data_model.html#gcps. This assumes image GCPs are in + # center of pixel coordinate convention. oty_gcps = [] for gcp, xyz in zip(gcps, xyz.T): - # offset from UL (GDAL / rasterio) to center (Orthority) pixel coordinates - see e.g. - # https://gis.stackexchange.com/questions/122670/is-there-a-standard-for-the-coordinates-of-pixels-in-georeferenced-rasters - # TODO: GDAL / rasterio apparently uses the UL pixel coordinate convention but as anyone - # can populate the GeoTIFF GCP metadata, we don't actually know what convention they - # are in - gcp = dict(ji=(gcp.col - 0.5, gcp.row - 0.5), xyz=tuple(xyz), id=gcp.id, info=gcp.info) + gcp = dict(ji=(gcp.col, gcp.row), xyz=tuple(xyz.tolist()), id=gcp.id, info=gcp.info) oty_gcps.append(gcp) return {filename: oty_gcps} @@ -476,7 +474,6 @@ def read_oty_gcps(file: str | PathLike | OpenFile | IO[str]) -> dict[str, list[d schema = dict( type='FeatureCollection', features=[ - # TODO: combine row and col into ji tuple / list? dict( type='Feature', properties=dict(ji=list, filename=str, id=None, info=None), From 785153a02c8d3fbc07156050f747a4306f71fb82 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Mon, 19 Aug 2024 14:25:19 +0200 Subject: [PATCH 40/93] Error handling improvements - Include filename in ParamError's - Repackage load errors as ParamError - Shurdown thread pools on error --- orthority/param_io.py | 203 +++++++++++++++++++++++++++++------------- 1 file changed, 142 insertions(+), 61 deletions(-) diff --git a/orthority/param_io.py b/orthority/param_io.py index 225d0cc..2a88d72 100644 --- a/orthority/param_io.py +++ b/orthority/param_io.py @@ -70,7 +70,9 @@ def _read_osfm_int_param(json_dict: dict) -> dict[str, dict[str, Any]]: - """Read interior parameters from an OpenDroneMap / OpenSfM JSON dictionary.""" + """Read interior parameters from the ``cameras`` section of an OpenDroneMap / OpenSfM JSON + dictionary. + """ def parse_json_param(json_param: dict, cam_id: str) -> dict[str, Any]: """Validate & convert the given JSON dictionary for a single camera.""" @@ -112,9 +114,12 @@ def parse_json_param(json_param: dict, cam_id: str) -> dict[str, Any]: int_param.update(**json_param) return int_param - # extract cameras section if json_dict is from an OpenSfM reconstruction.json file - if isinstance(json_dict, list) and len(json_dict) == 1 and 'cameras' in json_dict[0]: - json_dict = json_dict[0]['cameras'] + # validate root dict + try: + common.validate_collection({str: dict}, json_dict) + except (TypeError, KeyError, ValueError) as ex: + # repackage all formatting errors in ParamError for callers + raise ParamError(str(ex)) from ex # parse each set of interior parameters int_param_dict = {} @@ -209,7 +214,11 @@ def read_oty_int_param(file: str | PathLike | OpenFile | IO[str]) -> dict[str, d file object, opened in text mode (``'rt'``). """ with common.Open(file, 'rt') as f: - yaml_dict = yaml.safe_load(f) + filename = common.get_filename(file) + try: + yaml_dict = yaml.safe_load(f) + except Exception as ex: + raise ParamError(f"Could not load '{filename}': {str(ex)}") from ex def parse_yaml_param(yaml_param: dict, cam_id: str = None) -> dict[str, Any]: """Validate & convert the given YAML dictionary for a single camera.""" @@ -257,10 +266,21 @@ def parse_yaml_param(yaml_param: dict, cam_id: str = None) -> dict[str, Any]: cam_id = yaml_dict['name'] if 'name' in yaml_dict else 'unknown' yaml_dict = {cam_id: yaml_dict} + # validate root dict + try: + common.validate_collection({str: dict}, yaml_dict) + except (TypeError, KeyError, ValueError): + raise ParamError(f"Could not parse '{filename}': {str(ex)}") from ex + # parse each set of interior parameters int_param_dict = {} for cam_id, yaml_param in yaml_dict.items(): - int_param_dict[cam_id] = parse_yaml_param(yaml_param, cam_id) + try: + int_param_dict[cam_id] = parse_yaml_param(yaml_param, cam_id) + except ParamError as ex: + # repackage error with filename + raise ParamError(f"Could not parse '{filename}': {str(ex)}") from ex + return int_param_dict @@ -276,9 +296,23 @@ def read_osfm_int_param(file: str | PathLike | OpenFile | IO[str]) -> dict[str, file object, opened in text mode (``'rt'``). """ with common.Open(file, 'rt') as f: - json_dict = json.load(f) + filename = common.get_filename(file) + try: + json_dict = json.load(f) + except Exception as ex: + raise ParamError(f"Could not load '{filename}': {str(ex)}") from ex - return _read_osfm_int_param(json_dict) + # extract cameras section if file is an OpenSfM reconstruction.json file + if isinstance(json_dict, list) and len(json_dict) == 1 and 'cameras' in json_dict[0]: + json_dict = json_dict[0]['cameras'] + + try: + int_param_dict = _read_osfm_int_param(json_dict) + except ParamError as ex: + # repackage error with filename + raise ParamError(f"Could not parse '{filename}': {str(ex)}") from ex + + return int_param_dict def read_exif_int_param( @@ -341,8 +375,16 @@ def _read_im_rpc_param( elif progress is False: progress = dict(disable=True, leave=False) - for future in tqdm(futures, **progress): - rpc_param_dict.update(**future.result()) + for future, file in zip(tqdm(futures, **progress), files): + try: + rpc_param_dict.update(**future.result()) + except (FileNotFoundError, ParamError): + executor.shutdown(wait=False, cancel_futures=True) + raise + except Exception as ex: + filename = common.get_filename(file) + executor.shutdown(wait=False, cancel_futures=True) + raise RuntimeError(f"Could not read RPC tags from '{filename}'.") from ex return rpc_param_dict @@ -357,40 +399,43 @@ def read_oty_rpc_param(file: str | PathLike | OpenFile | IO[str]) -> dict[str, d file object, opened in text mode (``'rt'``). """ with common.Open(file, 'rt') as f: - yaml_dict = yaml.safe_load(f) + filename = common.get_filename(file) + try: + yaml_dict = yaml.safe_load(f) + except Exception as ex: + raise ParamError(f"Could not load '{filename}': {str(ex)}") from ex - # template to test yaml_dict items against - schema = dict( - im_size=list, + # validate file format + schema = { + str: dict( + im_size=[(float, int)] * 2, rpc=dict( height_off=float, height_scale=float, lat_off=float, lat_scale=float, - line_den_coeff=[float], - line_num_coeff=[float], + line_den_coeff=[float] * 20, + line_num_coeff=[float] * 20, line_off=(int, float), line_scale=(int, float), long_off=float, long_scale=float, - samp_den_coeff=[float], - samp_num_coeff=[float], + samp_den_coeff=[float] * 20, + samp_num_coeff=[float] * 20, samp_off=(int, float), samp_scale=(int, float), ), ) + } - # validate and convert yaml_dict + try: + common.validate_collection(schema, yaml_dict) + except (ValueError, TypeError, KeyError) as ex: + raise ParamError(f"Could not parse '{filename}': {str(ex)}") from ex + + # convert to standard format dict rpc_param_dict = {} for filename, rpc_param in yaml_dict.items(): - try: - if not isinstance(filename, str): - raise TypeError(f"'{filename}' key is not an an instance of 'str'.") - common.validate_collection(schema, rpc_param) - except (ValueError, TypeError, KeyError) as ex: - raise ParamError( - f"'{common.get_filename(file)}' is not a valid Orthority RPC file: {str(ex)}." - ) rpc_param_dict[filename] = dict( cam_type=CameraType.rpc, im_size=tuple(rpc_param['im_size']), rpc=rpc_param['rpc'] ) @@ -453,8 +498,16 @@ def _read_im_gcps( elif progress is False: progress = dict(disable=True, leave=False) - for future in tqdm(futures, **progress): - gcp_dict.update(**future.result()) + for future, file in zip(tqdm(futures, **progress), files): + try: + gcp_dict.update(**future.result()) + except (FileNotFoundError, ParamError): + executor.shutdown(wait=False, cancel_futures=True) + raise + except Exception as ex: + filename = common.get_filename(file) + executor.shutdown(wait=False, cancel_futures=True) + raise RuntimeError(f"Could not read GCPs from '{filename}'.") from ex return gcp_dict @@ -468,7 +521,11 @@ def read_oty_gcps(file: str | PathLike | OpenFile | IO[str]) -> dict[str, list[d file object, opened in text mode (``'rt'``). """ with common.Open(file, 'rt') as f: - json_dict = json.load(f) + filename = common.get_filename(file) + try: + json_dict = json.load(f) + except Exception as ex: + raise ParamError(f"Could not load '{filename}': {str(ex)}") from ex # validate file format schema = dict( @@ -476,19 +533,18 @@ def read_oty_gcps(file: str | PathLike | OpenFile | IO[str]) -> dict[str, list[d features=[ dict( type='Feature', - properties=dict(ji=list, filename=str, id=None, info=None), - geometry=dict(type='Point', coordinates=list), + properties=dict(ji=[(int, float)] * 2, filename=str, id=None, info=None), + geometry=dict(type='Point', coordinates=[(int, float)] * 3), ) ], ) - filename = common.get_filename(file) try: common.validate_collection(schema, json_dict) except (ValueError, TypeError, KeyError) as ex: - raise ParamError(f"'{filename}' is not a valid Orthority GCP file: {str(ex)}.") + raise ParamError(f"Could not parse '{filename}': {str(ex)}") from ex - # convert file to GCP dictionary + # convert to standard format dict gcp_dict = {} for feat_dict in json_dict['features']: prop_dict = feat_dict['properties'] @@ -561,7 +617,7 @@ def write_ext_param( try: crs = CRS.from_string(crs) if isinstance(crs, str) else crs except RioCrsError as ex: - raise CrsError(f"Could not interpret 'crs': {str(ex)}.") + raise CrsError(f"Could not interpret 'crs': {str(ex)}") if not crs.is_projected: raise CrsError(f"'crs' should be a projected system.") @@ -795,7 +851,7 @@ def _parse_crss(crs: str | CRS, lla_crs: str | CRS) -> tuple[CRS, CRS]: try: crs = CRS.from_string(crs) if isinstance(crs, str) else crs except RioCrsError as ex: - raise CrsError(f"Could not interpret 'crs': {str(ex)}.") + raise CrsError(f"Could not interpret 'crs': {str(ex)}") if not crs.is_projected: raise CrsError(f"'crs' should be a projected system.") @@ -803,7 +859,7 @@ def _parse_crss(crs: str | CRS, lla_crs: str | CRS) -> tuple[CRS, CRS]: try: lla_crs = CRS.from_string(lla_crs) if isinstance(lla_crs, str) else lla_crs except RioCrsError as ex: - raise CrsError(f"Could not interpret 'lla_crs': {str(ex)}.") + raise CrsError(f"Could not interpret 'lla_crs': {str(ex)}") if not lla_crs.is_geographic: raise CrsError(f"'lla_crs' should be a geographic system.") return crs, lla_crs @@ -901,9 +957,14 @@ def __init__( with common.Open(self._ofile or file, 'rt', newline=None) as f: self._buffer = StringIO(f.read()) - self._fieldnames, self._dialect, self._has_header, self._format = self._parse_file( - self._buffer, fieldnames=fieldnames, dialect=dialect - ) + try: + self._fieldnames, self._dialect, self._has_header, self._format = self._parse_file( + self._buffer, fieldnames=fieldnames, dialect=dialect + ) + except ParamError as ex: + # repackage error with filename + raise ParamError(f"Could not parse '{common.get_filename(file)}': {str(ex)}") from ex + self._crs = self._crs or self._get_crs() @staticmethod @@ -1005,9 +1066,9 @@ def _get_crs(self) -> CRS: logger.debug(f"Using '{prj_name}' CRS: '{crs.to_string()}'") except FileNotFoundError as ex: - logger.debug(f"Could not open '{prj_name}': {str(ex)}.") + logger.debug(f"Could not open '{prj_name}': {str(ex)}") except RioCrsError as ex: - raise ParamError(f"Could not interpret CRS in '{prj_name}': {str(ex)}.") + raise ParamError(f"Could not interpret CRS in '{prj_name}': {str(ex)}") else: # a file object was passed to __init__ so the CSV file path / URI is unknown and a # .prj file cannot be found @@ -1100,6 +1161,13 @@ def __init__( ) -> None: FrameReader.__init__(self, crs=crs, lla_crs=lla_crs) self._json_dict = self._read_json_dict(file) + try: + # read interior parameters now for early validation of the 'cameras' section + self._int_param_dict = _read_osfm_int_param(self._json_dict['cameras']) + except ParamError as ex: + # repackage error with filename + raise ParamError(f"Could not parse '{common.get_filename(file)}': {str(ex)}") from ex + if not self._crs: self._crs = self._find_utm_crs() logger.debug(f"Using auto UTM CRS: '{self._crs.to_proj4()}'") @@ -1108,22 +1176,23 @@ def __init__( def _read_json_dict(file: str | PathLike | OpenFile | IO[str]) -> dict[str, dict]: """Read and validate the reconstruction JSON file.""" with common.Open(file, 'rt') as f: - json_data = json.load(f) + filename = common.get_filename(file) + try: + json_data = json.load(f) + except Exception as ex: + raise ParamError(f"Could not load '{filename}': {str(ex)}") from ex schema = [ dict( - cameras=dict, - shots=dict, + cameras=dict, # items validated in _read_osfm_int_param() + shots={str: dict(rotation=[float] * 3, translation=[float] * 3, camera=str)}, reference_lla=dict(latitude=float, longitude=float, altitude=float), ) ] try: common.validate_collection(schema, json_data) except (ValueError, TypeError, KeyError) as ex: - raise ParamError( - f"'{common.get_filename(file)}' is not a valid OpenSfM reconstruction file: " - f"{str(ex)}." - ) + raise ParamError(f"Could not parse '{filename}': {str(ex)}") from ex # keep root schema keys and delete the rest json_dict = {k: json_data[0][k] for k in schema[0].keys()} @@ -1138,7 +1207,7 @@ def _find_utm_crs(self) -> CRS: def read_int_param(self) -> dict[str, dict[str, Any]]: """Read interior camera parameters.""" - return _read_osfm_int_param(self._json_dict['cameras']) + return self._int_param_dict def read_ext_param(self) -> dict[str, dict[str, Any]]: # transform reference coordinates to the world CRS @@ -1223,8 +1292,17 @@ def _read_exif( elif progress is False: progress = dict(disable=True, leave=False) - for future in tqdm(futures, **progress): - exif_obj = future.result() + for future, file in zip(tqdm(futures, **progress), files): + try: + exif_obj = future.result() + except FileNotFoundError: + executor.shutdown(wait=False, cancel_futures=True) + raise + except Exception as ex: + filename = common.get_filename(file) + executor.shutdown(wait=False, cancel_futures=True) + raise RuntimeError(f"Could not read EXIF tags from '{filename}'.") from ex + exif_dict[exif_obj.filename] = exif_obj return exif_dict @@ -1278,7 +1356,11 @@ def __init__(self, file: str | PathLike | OpenFile | IO[str], **kwargs) -> None: def _read_json_dict(file: str | PathLike | OpenFile | IO[str], crs: CRS) -> tuple[CRS, dict]: """Read and validate the GeoJSON file.""" with common.Open(file, 'rt') as f: - json_dict = json.load(f) + filename = common.get_filename(file) + try: + json_dict = json.load(f) + except Exception as ex: + raise ParamError(f"Could not load '{filename}': {str(ex)}") from ex schema = dict( type='FeatureCollection', @@ -1286,25 +1368,24 @@ def _read_json_dict(file: str | PathLike | OpenFile | IO[str], crs: CRS) -> tupl features=[ dict( type='Feature', - properties=dict(filename=str, camera=None, xyz=list, opk=list), - geometry=dict(type='Point', coordinates=list), + properties=dict( + filename=str, camera=None, xyz=[(int, float)] * 3, opk=[(int, float)] * 3 + ), + geometry=dict(type='Point', coordinates=[(int, float)]), ) ], ) - filename = common.get_filename(file) try: common.validate_collection(schema, json_dict) except (ValueError, TypeError, KeyError) as ex: - raise ParamError( - f"'{filename}' is not a valid GeoJSON exterior parameter file: {str(ex)}." - ) + raise ParamError(f"Could not parse '{filename}': {str(ex)}") from ex if not crs: try: crs = CRS.from_string(json_dict['world_crs']) except RioCrsError as ex: - raise ParamError(f"Could not interpret CRS in '{filename}': {str(ex)}.") + raise ParamError(f"Could not interpret CRS in '{filename}': {str(ex)}") return crs, json_dict From be8df04bbd3b7a4f3632e85280a4752b61ac8af0 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Mon, 19 Aug 2024 14:31:21 +0200 Subject: [PATCH 41/93] Error checking and GCP IO updates: - Add GCP IO tests - Tighten error tests - Tidy RPC and GCP image creation --- tests/test_param_io.py | 191 ++++++++++++++++++++++++++++++++++------- 1 file changed, 161 insertions(+), 30 deletions(-) diff --git a/tests/test_param_io.py b/tests/test_param_io.py index f4461fa..b5a60b9 100644 --- a/tests/test_param_io.py +++ b/tests/test_param_io.py @@ -24,13 +24,14 @@ import numpy as np import pytest import rasterio as rio +from rasterio.transform import GroundControlPoint from rasterio.warp import transform from orthority import param_io from orthority.camera import FrameCamera from orthority.enums import CameraType, CsvFormat, Interp from orthority.errors import CrsError, CrsMissingError, ParamError -from tests.conftest import oty_to_osfm_int_param +from tests.conftest import oty_to_osfm_int_param, create_profile def _validate_int_param_dict(int_param_dict: dict): @@ -92,7 +93,11 @@ def test_read_oty_int_param_missing_error( param_io.write_int_param(filename, dict(default=int_params)) with pytest.raises(ParamError) as ex: _ = param_io.read_oty_int_param(filename) - assert missing_key in str(ex.value) + assert ( + 'Could not parse' in str(ex.value) + and missing_key in str(ex.value) + and filename.name in str(ex.value) + ) def test_read_oty_int_param_unknown_error(pinhole_int_param_dict: dict, tmp_path: Path): @@ -105,7 +110,11 @@ def test_read_oty_int_param_unknown_error(pinhole_int_param_dict: dict, tmp_path param_io.write_int_param(filename, dict(default=int_params)) with pytest.raises(ParamError) as ex: _ = param_io.read_oty_int_param(filename) - assert 'other' in str(ex.value) + assert ( + 'Could not parse' in str(ex.value) + and 'other' in str(ex.value) + and filename.name in str(ex.value) + ) def test_read_oty_int_param_cam_type_error(pinhole_int_param_dict: dict, tmp_path: Path): @@ -118,7 +127,11 @@ def test_read_oty_int_param_cam_type_error(pinhole_int_param_dict: dict, tmp_pat param_io.write_int_param(filename, dict(default=int_params)) with pytest.raises(ParamError) as ex: _ = param_io.read_oty_int_param(filename) - assert 'camera type' in str(ex.value) + assert ( + 'Could not parse' in str(ex.value) + and 'camera type' in str(ex.value) + and filename.name in str(ex.value) + ) @pytest.mark.parametrize('filename', ['osfm_int_param_file', 'odm_int_param_file']) @@ -146,39 +159,63 @@ def compare_dicts(test: dict, ref: dict): def test_read_osfm_int_param_missing_error( pinhole_int_param_dict: dict, missing_key: str, tmp_path: Path ): - """Test reading orthority format interior parameters raises an error when required keys are + """Test reading ODM / OpenSfM format interior parameters raises an error when required keys are missing. """ osfm_dict = oty_to_osfm_int_param(pinhole_int_param_dict) int_params = next(iter(osfm_dict.values())) int_params.pop(missing_key) + filename = tmp_path.joinpath('int_param.json') + with filename.open('wt') as f: + json.dump(osfm_dict, f) + with pytest.raises(ParamError) as ex: - _ = param_io._read_osfm_int_param(osfm_dict) - assert missing_key in str(ex.value) + _ = param_io.read_osfm_int_param(filename) + assert ( + 'Could not parse' in str(ex.value) + and missing_key in str(ex.value) + and filename.name in str(ex.value) + ) def test_read_osfm_int_param_unknown_error(pinhole_int_param_dict: dict, tmp_path: Path): - """Test reading orthority format interior parameters raises an error when unknown keys are + """Test reading ODM / OpenSfM format interior parameters raises an error when unknown keys are present. """ osfm_dict = oty_to_osfm_int_param(pinhole_int_param_dict) int_params = next(iter(osfm_dict.values())) int_params['other'] = 0.0 + filename = tmp_path.joinpath('int_param.json') + with filename.open('wt') as f: + json.dump(osfm_dict, f) + with pytest.raises(ParamError) as ex: - _ = param_io._read_osfm_int_param(osfm_dict) - assert 'other' in str(ex.value) + _ = param_io.read_osfm_int_param(filename) + assert ( + 'Could not parse' in str(ex.value) + and 'other' in str(ex.value) + and filename.name in str(ex.value) + ) def test_read_osfm_int_param_proj_type_error(pinhole_int_param_dict: dict, tmp_path: Path): - """Test reading orthority format interior parameters raises an error when the projection type is + """Test reading ODM / OpenSfM format interior parameters raises an error when the projection type is unsupported. """ osfm_dict = oty_to_osfm_int_param(pinhole_int_param_dict) int_params = next(iter(osfm_dict.values())) int_params['projection_type'] = 'other' + filename = tmp_path.joinpath('int_param.json') + with filename.open('wt') as f: + json.dump(osfm_dict, f) + with pytest.raises(ParamError) as ex: - _ = param_io._read_osfm_int_param(osfm_dict) - assert 'projection type' in str(ex.value) + _ = param_io.read_osfm_int_param(filename) + assert ( + 'Could not parse' in str(ex.value) + and 'projection type' in str(ex.value) + and filename.name in str(ex.value) + ) def test_read_exif_int_param_dewarp(odm_image_file: Path, odm_reconstruction_file: Path): @@ -235,7 +272,7 @@ def test_read_exif_int_param_error(ngi_image_file: Path): """Test reading EXIF tag interior parameters from a non EXIF image raises an error.""" with pytest.raises(ParamError) as ex: _ = param_io.read_exif_int_param(ngi_image_file) - assert 'focal length' in str(ex.value) + assert 'focal length' in str(ex.value) and ngi_image_file.name in str(ex.value) def test_aa_to_opk(xyz: tuple, opk: tuple): @@ -476,7 +513,7 @@ def test_csv_reader_crs_missing_error(ngi_legacy_csv_file: Path, fieldnames: lis """ with pytest.raises(CrsMissingError) as ex: _ = param_io.CsvReader(ngi_legacy_csv_file, fieldnames=fieldnames) - assert 'crs' in str(ex.value).lower() + assert 'crs' in str(ex.value).lower() and ngi_legacy_csv_file.name in str(ex.value) def test_csv_reader_crs_error(ngi_legacy_csv_file: Path): @@ -547,7 +584,7 @@ def test_csv_reader_missing_fieldname_error(ngi_legacy_csv_file: Path, missing_f fieldnames.remove(missing_field) with pytest.raises(ParamError) as ex: _ = param_io.CsvReader(ngi_legacy_csv_file, fieldnames=fieldnames) - assert missing_field in str(ex.value) + assert missing_field in str(ex.value) and ngi_legacy_csv_file.name in str(ex.value) @pytest.mark.parametrize( @@ -670,7 +707,7 @@ def test_osfm_reader_validity_error(ngi_oty_ext_param_file: Path): """Test OsfmReader raises an error with an invalid file format.""" with pytest.raises(ParamError) as ex: _ = param_io.OsfmReader(ngi_oty_ext_param_file, crs=None) - assert 'valid' in str(ex.value) + assert 'Could not parse' in str(ex.value) and ngi_oty_ext_param_file.name in str(ex.value) def test_exif_reader(odm_image_files: list[Path], odm_crs: str): @@ -768,7 +805,7 @@ def test_oty_reader_validity_error(odm_reconstruction_file: Path): """Test OtyReader raises an error with an invalid file format.""" with pytest.raises(ParamError) as ex: _ = param_io.OtyReader(odm_reconstruction_file) - assert 'valid' in str(ex.value) + assert 'Could not parse' in str(ex.value) and odm_reconstruction_file.name in str(ex.value) def test_oty_reader_crs(ngi_oty_ext_param_file: Path, ngi_crs: str): @@ -790,25 +827,18 @@ def test_read_oty_rpc_param_error(ngi_oty_int_param_file: Path): """Test reading RPC parameters raises an error with an invalid parameter file.""" with pytest.raises(ParamError) as ex: param_io.read_oty_rpc_param(ngi_oty_int_param_file) - assert ngi_oty_int_param_file.name in str(ex.value) and 'valid' in str(ex.value) + assert 'Could not parse' in str(ex.value) and ngi_oty_int_param_file.name in str(ex.value) def test_read_im_rpc_param(rpc: dict, tmp_path: Path): """Test reading RPC parameters from GeoTIFFs.""" - # create image files with known RPCs, and corresponding parameter dictionary + # create image files with known RPCs, and corresponding RPC parameter dictionary im_size = (1, 1) im_files = (tmp_path.joinpath('rpc1.tif'), tmp_path.joinpath('rpc2.tif')) rpc_param = dict(cam_type=CameraType.rpc, im_size=im_size, rpc=rpc) - profile = dict( - driver='GTiff', - width=im_size[0], - height=im_size[1], - count=1, - dtype='uint8', - # NB: there is a rio/gdal bug if RPCs are passed as a dict to rio.open() - rpcs=rio.transform.RPC(**rpc), - ) array = np.zeros((1, *im_size[::-1]), dtype='uint8') + # NB: there is a rio/gdal bug if RPCs are passed as a dict to rio.open() + profile = create_profile(array, rpcs=rio.transform.RPC(**rpc)) ref_rpc_param_dict = {} for im_file in im_files: ref_rpc_param_dict[im_file.name] = rpc_param @@ -832,7 +862,7 @@ def test_read_im_rpc_param_error(ngi_image_file: Path): """Test reading RPC parameters from a GeoTIFF without RPC coefficients raises an error.""" with pytest.raises(ParamError) as ex: param_io.read_im_rpc_param((ngi_image_file,)) - assert ngi_image_file.name in str(ex.value) and 'No RPC parameters' in str(ex.value) + assert 'No RPC parameters' in str(ex.value) and ngi_image_file.name in str(ex.value) def test_read_im_rpc_param_progress(rpc_image_file: Path, capsys: pytest.CaptureFixture): @@ -853,3 +883,104 @@ def test_read_im_rpc_param_progress(rpc_image_file: Path, capsys: pytest.Capture param_io.read_im_rpc_param(files, progress=dict(desc=desc)) cap = capsys.readouterr() assert desc in cap.err + + +def test_rw_oty_gcps(im_size: tuple[int, int], xyz: tuple[float, float, float], tmp_path: Path): + """Test writing and reading GCPs to/from an Orthority GCP file.""" + gcp = dict(ji=im_size, xyz=xyz, id='id', info='info') + gcp_dict = dict(file1=[gcp, gcp], file2=[gcp]) + gcp_file = tmp_path.joinpath('gcps.geojson') + param_io.write_gcps(gcp_file, gcp_dict) + assert param_io.read_oty_gcps(gcp_file) == gcp_dict + + +def test_read_oty_gcps_error(ngi_oty_ext_param_file: Path): + """Test reading GCPs raises an error with an invalid parameter file.""" + with pytest.raises(ParamError) as ex: + param_io.read_oty_gcps(ngi_oty_ext_param_file) + assert 'Could not parse' in str(ex.value) and ngi_oty_ext_param_file.name + + +def test_read_im_gcps(tmp_path: Path): + """Test reading GCPs from GeoTIFFs.""" + # create image files with GCPs and corresponding GCP dictionary (id and info items are + # omitted as rasterio doesn't write # these) + im_size = (1, 1) + im_files = (tmp_path.joinpath('gcp1.tif'), tmp_path.joinpath('gcp2.tif')) + gcps = [ + dict(ji=(1.0, 2.0), xyz=(10.0, 20.0, 1000.0)), + dict(ji=(1.11, 2.22), xyz=(11.1, 22.2, 1111.1)), + ] + # convert oty GCPs to rasterio format + rio_gcps = [GroundControlPoint(*gcp['ji'][::-1], *gcp['xyz']) for gcp in gcps] + array = np.zeros((1, *im_size[::-1]), dtype='uint8') + profile = create_profile(array, crs='EPSG:4979', gcps=rio_gcps) + ref_gcp_dict = {} + for im_file in im_files: + ref_gcp_dict[im_file.name] = gcps + with rio.open(im_file, 'w', **profile) as im: + im.write(array) + + # read image file GCPs and compare (ignoring id and info items) + def compare_objs(ref_obj, test_obj): + if isinstance(ref_obj, dict): + for k, v in ref_obj.items(): + assert k in test_obj, k + compare_objs(v, test_obj[k]) + elif isinstance(ref_obj, list): + assert len(ref_obj) == len(test_obj) + for i in range(len(ref_obj)): + compare_objs(ref_obj[i], test_obj[i]) + else: + assert ref_obj == pytest.approx(test_obj, rel=1e-6), (ref_obj, test_obj) + + test_gcp_dict = param_io.read_im_gcps(im_files) + compare_objs(ref_gcp_dict, test_gcp_dict) + + +def test_read_im_gcp_crs(xyz: tuple[float, float, float], utm34n_egm2008_crs: str, tmp_path: Path): + """Test reading GCPs from GeoTIFF transforms the GCP CRS to EPSG:4979.""" + # create an image file with a GCP in non EPSG:4979 CRS + im_size = (1, 1) + im_file = tmp_path.joinpath('gcp.tif') + gcps = [dict(ji=(1.0, 2.0), xyz=xyz)] + # convert oty GCPs to rasterio format + rio_gcps = [GroundControlPoint(*gcp['ji'][::-1], *gcp['xyz']) for gcp in gcps] + array = np.zeros((1, *im_size[::-1]), dtype='uint8') + profile = create_profile(array, crs=utm34n_egm2008_crs, gcps=rio_gcps) + with rio.open(im_file, 'w', **profile) as im: + im.write(array) + + # test GCP coordinate transform + test_gcp_dict = param_io.read_im_gcps([im_file]) + ref_xyz = transform(utm34n_egm2008_crs, 'EPSG:4979', *[[coord] for coord in xyz]) + ref_xyz = tuple([coord[0] for coord in ref_xyz]) + test_xyz = test_gcp_dict[im_file.name][0]['xyz'] + assert test_xyz == pytest.approx(ref_xyz, abs=1e-6) + + +def test_read_im_gcps_error(ngi_image_file: Path): + """Test reading GCPs from a GeoTIFF without GCPs raises an error.""" + with pytest.raises(ParamError) as ex: + param_io.read_im_gcps((ngi_image_file,)) + assert 'No GCPs' in str(ex.value) and ngi_image_file.name in str(ex.value) + + +def test_read_im_gcps_progress(rpc_image_file: Path, capsys: pytest.CaptureFixture): + """Test the progress bar display when reading GCPs from GeoTIFFs.""" + files = (rpc_image_file,) + # default bar + param_io.read_im_gcps(files, progress=True) + cap = capsys.readouterr() + assert 'files' in cap.err and '100%' in cap.err + + # no bar + param_io.read_im_gcps(files, progress=False) + cap = capsys.readouterr() + assert 'files' not in cap.err and '100%' not in cap.err + + # custom bar + desc = 'custom' + param_io.read_im_gcps(files, progress=dict(desc=desc)) + cap = capsys.readouterr() + assert desc in cap.err From f2d3bfdb1d8c6b43b1800accf1886fb573658fc4 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Mon, 19 Aug 2024 14:43:59 +0200 Subject: [PATCH 42/93] Add --gcp-refine tests and tighten error checking --- tests/test_cli.py | 154 ++++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 150 insertions(+), 4 deletions(-) diff --git a/tests/test_cli.py b/tests/test_cli.py index c53116a..ace0efb 100644 --- a/tests/test_cli.py +++ b/tests/test_cli.py @@ -196,7 +196,25 @@ def test_frame_int_param_ext_error( ) result = runner.invoke(cli, cli_str.split()) assert result.exit_code != 0, result.stdout - assert 'not supported' in result.stdout.lower() + assert 'interior parameter' in result.stdout and 'not supported' in result.stdout + + +def test_frame_int_param_invalid_error( + ngi_image_file: Path, + ngi_dem_file: Path, + rpc_param_file: Path, + ngi_oty_ext_param_file: Path, + tmp_path: Path, + runner: CliRunner, +): + """Test ``oty frame`` with an invalid ``--int-param`` file raises an error.""" + cli_str = ( + f'frame --dem {ngi_dem_file} --int-param {rpc_param_file} ' + f'--ext-param {ngi_oty_ext_param_file} --out-dir {tmp_path} {ngi_image_file}' + ) + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code != 0, result.stdout + assert 'Could not parse' in result.stdout and rpc_param_file.name in result.stdout def test_frame_ext_param_missing_error( @@ -248,7 +266,25 @@ def test_frame_ext_param_ext_error( ) result = runner.invoke(cli, cli_str.split()) assert result.exit_code != 0, result.stdout - assert 'not supported' in result.stdout.lower() + assert 'exterior parameter' in result.stdout and 'not supported' in result.stdout + + +def test_frame_ext_param_invalid_error( + ngi_image_file: Path, + ngi_dem_file: Path, + ngi_oty_int_param_file: Path, + gcp_file: Path, + tmp_path: Path, + runner: CliRunner, +): + """Test ``oty frame`` with an invalid ``--ext-param`` file raises an error.""" + cli_str = ( + f'frame --dem {ngi_dem_file} --int-param {ngi_oty_int_param_file} ' + f'--ext-param {gcp_file} --out-dir {tmp_path} {ngi_image_file}' + ) + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code != 0, result.stdout + assert 'Could not parse' in result.stdout and gcp_file.name in result.stdout def test_frame_crs_src( @@ -939,7 +975,11 @@ def test_exif_source_error( cli_str = f'exif --dem {ngi_dem_file} --out-dir {tmp_path} {ngi_image_file}' result = runner.invoke(cli, cli_str.split()) assert result.exit_code != 0, result.stdout - assert 'SOURCE' in result.stdout and 'tags' in result.stdout.lower() + assert ( + 'SOURCE' in result.stdout + and 'tags' in result.stdout + and ngi_image_file.name in result.stdout + ) def test_exif_source_not_found_error( @@ -1193,7 +1233,7 @@ def test_rpc_param_file_invalid_error( assert result.exit_code != 0, result.stdout assert ( '--rpc-param' in result.stdout - and 'valid' in result.stdout + and 'Could not parse' in result.stdout and ngi_oty_int_param_file.name in result.stdout ) @@ -1268,6 +1308,112 @@ def test_rpc_option(rpc_image_file: Path, ngi_dem_file: Path, tmp_path: Path, ru assert im.res == (res, res) +def test_rpc_gcp_refine( + rpc_image_file: Path, ngi_dem_file: Path, gcp_file: Path, tmp_path: Path, runner: CliRunner +): + """Test ``oty rpc`` with the ``--gcp-refine`` option by comparing orthos with and without + refinement. + """ + # create source image with no GCPs (and same name as rpc_image_file) + no_gcp_file = tmp_path.joinpath(rpc_image_file.name) + with rio.open(rpc_image_file, 'r') as gcp_im: + profile = gcp_im.profile + profile.update(rpcs=gcp_im.rpcs) + profile.pop('gcps', None) # make sure no GCPs + with rio.open(no_gcp_file, 'w', **profile) as no_gcp_im: + no_gcp_im.write(gcp_im.read()) + + ortho_bounds = [] + for i, (gcp_refine_str, src_file) in enumerate( + zip( + ['', '--gcp-refine tags', f'--gcp-refine {gcp_file}'], + [rpc_image_file, rpc_image_file, no_gcp_file], + ) + ): + # create ortho + out_dir = tmp_path.joinpath(str(i)) + out_dir.mkdir() + cli_str = f"rpc --dem {ngi_dem_file} {gcp_refine_str} --out-dir {out_dir} -o {src_file}" + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code == 0, result.stdout + ortho_files = [*out_dir.glob('*_ORTHO.tif')] + assert len(ortho_files) == 1 + + # read ortho bounds + with rio.open(ortho_files[0], 'r') as im: + ortho_bounds.append(im.bounds) + + # compare ortho bounds + assert ortho_bounds[1] != pytest.approx(ortho_bounds[0], abs=1e-4) + assert ortho_bounds[2] != pytest.approx(ortho_bounds[0], abs=1e-4) + + +def test_rpc_gcp_refine_file_invalid_error( + rpc_image_file: Path, + ngi_dem_file: Path, + odm_reconstruction_file: Path, + tmp_path: Path, + runner: CliRunner, +): + """Test ``oty rpc`` with ``--gcp-refine`` raises an error with an invalid GCP file.""" + cli_str = ( + f'rpc --dem {ngi_dem_file} --gcp-refine {odm_reconstruction_file} --out-dir {tmp_path}' + f' {rpc_image_file}' + ) + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code != 0, result.stdout + assert ( + '--gcp-refine' in result.stdout + and 'Could not parse' in result.stdout + and odm_reconstruction_file.name in result.stdout + ) + + +def test_rpc_gcp_refine_file_not_found_error( + rpc_image_file: Path, + ngi_dem_file: Path, + tmp_path: Path, + runner: CliRunner, +): + """Test ``oty rpc`` with ``--gcp-refine`` raises an error with a non-existent GCP file.""" + cli_str = f'rpc --dem {ngi_dem_file} --gcp-refine unknown --out-dir {tmp_path} {rpc_image_file}' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code != 0, result.stdout + assert ( + '--gcp-refine' in result.stdout + and 'No such file' in result.stdout + and 'unknown' in result.stdout + ) + + +def test_rpc_refine_method( + rpc_image_file: Path, ngi_dem_file: Path, gcp_file: Path, tmp_path: Path, runner: CliRunner +): + """Test ``oty rpc`` with the ``--refine-method`` option by comparing orthos refined with + different methods. + """ + ortho_bounds = [] + for refine_method in ['shift', 'shift-drift']: + # create ortho + out_dir = tmp_path.joinpath(refine_method) + out_dir.mkdir() + cli_str = ( + f"rpc --dem {ngi_dem_file} --gcp-refine tags --refine-method {refine_method} " + f"--out-dir {out_dir} -o {rpc_image_file}" + ) + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code == 0, result.stdout + ortho_files = [*out_dir.glob('*_ORTHO.tif')] + assert len(ortho_files) == 1 + + # read ortho bounds + with rio.open(ortho_files[0], 'r') as im: + ortho_bounds.append(im.bounds) + + # compare ortho bounds + assert ortho_bounds[1] != pytest.approx(ortho_bounds[0], abs=1e-6) + + def test_simple_ortho( ngi_image_file: Path, ngi_dem_file: Path, From 54b64a6ad1446fd194dfac987d50bc68b8f3ecf5 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Mon, 19 Aug 2024 20:30:22 +0200 Subject: [PATCH 43/93] only recreate refined cameras --- orthority/factory.py | 29 ++++++++++++++--------------- 1 file changed, 14 insertions(+), 15 deletions(-) diff --git a/orthority/factory.py b/orthority/factory.py index bd8de75..5c67dad 100644 --- a/orthority/factory.py +++ b/orthority/factory.py @@ -186,7 +186,7 @@ def _read_param( reader = param_io.OtyReader(ext_param) else: raise ParamError( - f"'{ext_param_suffix}' exterior paramater file type not supported." + f"'{ext_param_suffix}' exterior parameter file type not supported." ) ext_param_dict = reader.read_ext_param() crs = reader.crs @@ -339,8 +339,6 @@ def refine( Optional dictionary of keyword arguments for :meth:`~orthority.fit.refine_rpc`. Should exclude ``rpc`` and ``gcps``, which are passed internally. """ - self._cameras = {} - if gcps and not isinstance(gcps, dict): # read GCPs if isinstance(gcps, Sequence): @@ -350,20 +348,21 @@ def refine( else: self._gcp_dict = gcps - if self._gcp_dict: - # refine RPC parameters with GCPs - for filename, rpc_param in self._rpc_param_dict.items(): - if filename in self._gcp_dict: - rpc_param['rpc'] = refine_rpc( - rpc_param['rpc'], self._gcp_dict[filename], **(ref_kwargs or {}) - ) - else: - warnings.warn( - f"Could not find any GCPs for '{filename}'.", category=OrthorityWarning - ) + # refine RPC parameters with GCPs + for filename, rpc_param in self._rpc_param_dict.items(): + filename = Path(filename) + gcps = self._gcp_dict.get(filename.name, self._gcp_dict.get(filename.stem, None)) + + if gcps: + self._cameras.pop(filename.name, None) # force camera recreation + rpc_param['rpc'] = refine_rpc(rpc_param['rpc'], gcps, **(ref_kwargs or {})) + else: + warnings.warn( + f"Could not find any GCPs for '{filename}'.", category=OrthorityWarning + ) def get(self, filename: str | PathLike | OpenFile | rio.DatasetReader) -> RpcCamera: - # get rpc params for filename + # get RPC params for filename filename = Path(common.get_filename(filename)) rpc_param = self._rpc_param_dict.get( filename.name, self._rpc_param_dict.get(filename.stem, None) From 29827e082fa4840f7475f21d80d1240ff83048da Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Mon, 19 Aug 2024 20:35:02 +0200 Subject: [PATCH 44/93] add tests for refinement of RPCs --- tests/test_factory.py | 73 +++++++++++++++++++++++++++++++++++-------- 1 file changed, 60 insertions(+), 13 deletions(-) diff --git a/tests/test_factory.py b/tests/test_factory.py index db807d9..9ebbaa7 100644 --- a/tests/test_factory.py +++ b/tests/test_factory.py @@ -15,13 +15,16 @@ from __future__ import annotations +import copy +import warnings from pathlib import Path import pytest import rasterio as rio -from orthority.camera import BrownCamera, FrameCamera, RpcCamera -from orthority.enums import CameraType +from orthority import param_io +from orthority.camera import BrownCamera, FrameCamera +from orthority.enums import CameraType, RpcRefine from orthority.errors import CrsMissingError, ParamError from orthority.factory import FrameCameras, RpcCameras @@ -280,17 +283,6 @@ def test_rpc_cameras_from_images_kwargs( assert camera.crs == cam_kwargs['crs'] -def test_rpc_cameras_get(rpc_param_file: Path, rpc_image_file: Path): - """Test ``RpcCameras.get()`` for a known filename.""" - cameras = RpcCameras(rpc_param_file) - camera = cameras.get(rpc_image_file.name) - - assert isinstance(camera, RpcCamera) - rpc_param = cameras._rpc_param_dict[rpc_image_file.name] - assert camera.im_size == rpc_param['im_size'] - assert camera._rpc == rio.transform.RPC(**rpc_param['rpc']) - - def test_rpc_cameras_get_filename_not_found_error(rpc_param_file: Path): """Test ``RpcCameras.get()`` raises an error with an invalid filename.""" cameras = RpcCameras(rpc_param_file) @@ -298,3 +290,58 @@ def test_rpc_cameras_get_filename_not_found_error(rpc_param_file: Path): with pytest.raises(ParamError) as ex: cameras.get(filename) assert filename in str(ex.value) and 'could not find' in str(ex.value).lower() + + +def test_rpc_cameras_refine(rpc_param_file: Path, rpc_image_file: Path, gcp_file: Path): + """Test refining a RPC camera factory with various sources of GCPs.""" + + def test_refine(gcp_arg): + """Test refining with GCPs in ``gcp_arg`` changes the RPC params.""" + cameras = RpcCameras(rpc_param_file) + ref_rpc_param = copy.deepcopy(cameras._rpc_param_dict[rpc_image_file.name]['rpc']) + with warnings.catch_warnings(): + warnings.simplefilter('error') # fail on warning that no GCPs found + cameras.refine(gcp_arg) + assert cameras._rpc_param_dict.keys() == cameras._gcp_dict.keys() + assert cameras._rpc_param_dict != ref_rpc_param + + test_refine([rpc_image_file]) + test_refine(gcp_file) + test_refine(param_io.read_oty_gcps(gcp_file)) + + +def test_rpc_cameras_refine_io_kwargs( + rpc_param_file: Path, rpc_image_file: Path, capsys: pytest.CaptureFixture +): + """Test refining a RPC camera factory passes through ``io_kwargs`` when the GCPs are read + from image tags. + """ + desc = 'custom' + cameras = RpcCameras(rpc_param_file) + cameras.refine([rpc_image_file], io_kwargs=dict(progress=dict(desc=desc))) + cap = capsys.readouterr() + assert desc in cap.err + + +def test_rpc_cameras_refine_ref_kwargs(rpc_param_file: Path, rpc_image_file: Path): + """Test refining a RPC camera factory passes through ``ref_kwargs`` to ``fit.refine_rpc()``. + """ + cameras = RpcCameras(rpc_param_file) + cameras.refine([rpc_image_file], ref_kwargs=dict(method=RpcRefine.shift)) + shift_rpc_param = copy.deepcopy(cameras._rpc_param_dict[rpc_image_file.name]['rpc']) + + cameras = RpcCameras(rpc_param_file) + cameras.refine([rpc_image_file], ref_kwargs=dict(method=RpcRefine.shift_drift)) + shift_drift_rpc_param = cameras._rpc_param_dict[rpc_image_file.name]['rpc'] + + assert shift_drift_rpc_param != shift_rpc_param + + +def test_rpc_cameras_refine_get(rpc_param_file: Path, rpc_image_file: Path): + """Test ``RpcCameras.get()`` returns a different camera after refinement.""" + cameras = RpcCameras(rpc_param_file) + camera = cameras.get(rpc_image_file.name) + cameras.refine([rpc_image_file]) + refined_camera = cameras.get(rpc_image_file.name) + + assert camera != refined_camera and camera._rpc != refined_camera._rpc From bfc8a130bace9f3d23f9b82992b4b9790ccf8afa Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Mon, 19 Aug 2024 20:37:20 +0200 Subject: [PATCH 45/93] report GCP tags/file exceptions --- orthority/cli.py | 18 +++++++++++------- 1 file changed, 11 insertions(+), 7 deletions(-) diff --git a/orthority/cli.py b/orthority/cli.py index a691df0..1abbd26 100644 --- a/orthority/cli.py +++ b/orthority/cli.py @@ -953,13 +953,17 @@ def rpc( if gcp_refine is not None: # refine model(s) with GCPs ref_kwargs = dict(method=refine_method) - if str(gcp_refine).lower() == 'tags': - # set up progress bar args - tqdm_kwargs = common.get_tqdm_kwargs(desc='Reading GCPs', unit='files', leave=False) - - cameras.refine(src_files, io_kwargs=dict(progress=tqdm_kwargs), ref_kwargs=ref_kwargs) - else: - cameras.refine(gcp_refine, ref_kwargs=ref_kwargs) + try: + if str(gcp_refine).lower() == 'tags': + # set up progress bar args + tqdm_kwargs = common.get_tqdm_kwargs(desc='Reading GCPs', unit='files', leave=False) + cameras.refine( + src_files, io_kwargs=dict(progress=tqdm_kwargs), ref_kwargs=ref_kwargs + ) + else: + cameras.refine(gcp_refine, ref_kwargs=ref_kwargs) + except (FileNotFoundError, ParamError) as ex: + raise click.BadParameter(str(ex), param_hint="'-gr / --gcp-refine'") # orthorectify _ortho(src_files=src_files, cameras=cameras, crs=crs, **kwargs) From 8e719daf838bf4ac09d4b037bd3fbf08f091dab7 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Mon, 19 Aug 2024 20:59:24 +0200 Subject: [PATCH 46/93] add GCP fixture & modify create_profile() for general use --- tests/conftest.py | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/tests/conftest.py b/tests/conftest.py index 2242305..e766f95 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -115,12 +115,14 @@ def create_profile( transform: rio.Affine = None, crs: str | rio.CRS = None, nodata: int | float = None, + **kwargs, ) -> dict: """Return a Rasterio profile for the given parameters.""" if array.ndim != 2 and array.ndim != 3: raise ValueError("'array' should be 2D or 3D.") shape = (1, *array.shape) if array.ndim == 2 else array.shape return dict( + drtiver='GTiff', crs=crs, transform=transform, dtype=array.dtype, @@ -128,6 +130,7 @@ def create_profile( height=shape[1], count=shape[0], nodata=nodata, + **kwargs, ) @@ -860,6 +863,12 @@ def rpc_param_file() -> Path: return root_path.joinpath('tests/data/rpc/rpc_param.yaml') +@pytest.fixture(scope='session') +def gcp_file() -> Path: + """Orthority GCP file for the Quickbird2 image.""" + return root_path.joinpath('tests/data/rpc/gcps.geojson') + + @pytest.fixture(scope='session') def pinhole_int_param_dict(interior_args: dict) -> dict: """A pinhole camera interior parameter dictionary.""" From 1c355a953e3b0893050997d68a81c6814020934b Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Mon, 19 Aug 2024 21:00:28 +0200 Subject: [PATCH 47/93] standardise center pixel coords for GCPs --- tests/data/create_test_data.py | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/tests/data/create_test_data.py b/tests/data/create_test_data.py index 96463c2..b939e1a 100644 --- a/tests/data/create_test_data.py +++ b/tests/data/create_test_data.py @@ -300,13 +300,11 @@ def create_rpc_test_data(): # converts back from UL to center pixel coords as expected by param_io.write_gcps() gcp['ji'] = (gcp['ji'] - np.array((win.col_off, win.row_off)) + 0.5) / ds_fact - 0.5 - # convert GCPs to rasterio format for storing in image metadata + # convert GCPs to rasterio format for storing in image metadata (leave in center pixel + # coordinate convention) rio_gcps = [] for gcp in gcps: - # +0.5 converts from center to UL pixel convention as used by oty/QGIS/QB2 for image - # metadata GCPs - ij = (gcp['ji'][1] + 0.5, gcp['ji'][0] + 0.5) - rio_gcps.append(GroundControlPoint(*ij, *gcp['xyz'], gcp['id'], gcp['info'])) + rio_gcps.append(GroundControlPoint(*gcp['ji'][::-1], *gcp['xyz'], gcp['id'], gcp['info'])) # adjust existing metadata GCPs for crop and downsample # rio_gcps = src_im.gcps[0] From c42c9db1b7f5773ab5e0486ed081342d5e5b4d69 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Mon, 19 Aug 2024 22:19:42 +0200 Subject: [PATCH 48/93] validate_collection() improvements --- orthority/common.py | 87 +++++++++++++++++++++++++++++---------------- 1 file changed, 56 insertions(+), 31 deletions(-) diff --git a/orthority/common.py b/orthority/common.py index 71898b5..6637988 100644 --- a/orthority/common.py +++ b/orthority/common.py @@ -27,7 +27,7 @@ from io import IOBase from os import PathLike from pathlib import Path -from typing import IO, Iterable, Sequence +from typing import IO, Sequence import cv2 import fsspec @@ -159,38 +159,63 @@ def utm_crs_from_latlon(lat: float, lon: float) -> CRS: return CRS.from_epsg(epsg) -def validate_collection(template: Iterable, coll: Iterable): +def validate_collection(schema: dict | list, coll: dict | list): """ - Validate a nested dict / list of values (``coll``) against a nested dict / list of types, tuples - of types, and values (``template``). - - All items in a ``coll`` list are validated against the first item in the corresponding - ``template`` list. + Validate a nested dict / list of values (``coll``) against a nested dict / list of types, + tuples of types, and values (``schema``). + + - All items in a ``coll`` dict are validated against the first item in the corresponding + ``schema`` dict, if it has one item with a type key. Otherwise, ``coll`` items are validated + against the same key ``schema`` item. + - All items in a ``coll`` list are validated against the first item in the corresponding + ``schema`` list, if it has one item. Otherwise ``coll`` items are validated against + corresponding ``schema`` items. + - ``coll`` values are not validated against corresponding None values in ``schema``. """ - # adapted from https://stackoverflow.com/questions/45812387/how-to-validate-structure-or-schema-of-dictionary-in-python - if isinstance(template, dict) and isinstance(coll, dict): - # struct is a dict of types or other dicts - for k in template: - if k in coll: - validate_collection(template[k], coll[k]) - else: - raise KeyError(f"No key: '{k}'.") - elif isinstance(template, list) and isinstance(coll, list) and len(template) and len(coll): - # struct is list in the form [type or dict] - for item in coll: - validate_collection(template[0], item) - elif isinstance(template, type): - # struct is the type of conf - if not isinstance(coll, template): - raise TypeError(f"'{coll}' is not an instance of {template}.") - elif isinstance(template, tuple) and all([isinstance(item, type) for item in template]): - # struct is a tuple of types - if not isinstance(coll, template): - raise TypeError(f"'{coll}' is not an instance of any of {template}.") - elif isinstance(template, object) and template is not None: - # struct is the value of conf - if not coll == template: - raise ValueError(f"'{coll}' does not equal '{template}'.") + # adapted from https://stackoverflow.com/questions/45812387/how-to-validate-structure-or + # -schema-of-dictionary-in-python + if isinstance(schema, dict) and isinstance(coll, dict): + # schema is a dict + first_key = [*schema][0] + if len(schema) == 1 and isinstance(first_key, type): + for k in coll: + if not isinstance(k, first_key): + raise TypeError(f"'{k}' is not an instance of {first_key}.") + validate_collection(schema[first_key], coll[k]) + else: + for k in schema: + if k in coll: + validate_collection(schema[k], coll[k]) + else: + raise KeyError(f"No key: '{k}'.") + elif isinstance(schema, list) and isinstance(coll, list) and len(schema) and len(coll): + # schema is a list + if len(schema) == 1: + for item in coll: + validate_collection(schema[0], item) + else: + if len(coll) != len(schema): + raise ValueError(f'{coll} should have {len(schema)} items.') + for template_item, coll_item in zip(schema, coll): + validate_collection(template_item, coll_item) + elif isinstance(schema, type): + # schema is a type + if not isinstance(coll, schema): + raise TypeError(f"'{coll}' is not an instance of {schema}.") + elif isinstance(schema, tuple) and all([isinstance(item, type) for item in schema]): + # schema is a tuple of types + if not isinstance(coll, schema): + raise TypeError(f"'{coll}' is not an instance of any of {schema}.") + elif isinstance(schema, (str, int, float)): + # schema is a value of a basic type + if not coll == schema: + raise ValueError(f"'{coll}' does not equal '{schema}'.") + elif schema is None: + # don't test + pass + else: + # something else is wrong + raise ValueError("Invalid collection.") def get_filename(file: str | PathLike | OpenFile | DatasetReaderBase | IO) -> str: From 583fdc08756c93186600905b335048a96cf7a22e Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Mon, 19 Aug 2024 22:20:22 +0200 Subject: [PATCH 49/93] add tests for validate_collection() --- tests/test_common.py | 40 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 40 insertions(+) diff --git a/tests/test_common.py b/tests/test_common.py index e1805d5..6f131a2 100644 --- a/tests/test_common.py +++ b/tests/test_common.py @@ -30,6 +30,46 @@ from tests.conftest import checkerboard, create_profile +@pytest.mark.parametrize( + 'schema, coll', + [ + ({str: int}, dict(a=1, b=2)), + (dict(a=1, b=2.2, c='c'), dict(a=1, b=2.2, c='c')), + (dict(dict(a=1)), dict(dict(a=1))), + ([int], [1, 2]), + ([1, 2.2, 'c'], [1, 2.2, 'c']), + ([[1]], [[1]]), + ([dict], [dict(dict(a=1))]), + (dict(a=None, b=None), dict(a=1, b=2)), + ([None], [1, 2]), + ], +) +def test_validate_collection(schema: list | dict, coll: list | dict): + """Test ``validate_collection`` passes valid ``schema`` / ``coll`` combinations.""" + common.validate_collection(schema, coll) + + +@pytest.mark.parametrize( + 'schema, coll', + [ + ({str: int}, {1: 1}), + ({str: int}, {'a': 'a'}), + (dict(a=1), dict(a=2)), + (dict(a=1), dict(b=1)), + ([int], ['a']), + ([1, 2.2], [1, 2.3]), + ([dict(dict(a=1))], [dict()]), + (dict(a=[]), dict()), + ([[]], [dict()]), + ([dict()], [[]]), + ], +) +def test_validate_collection_error(schema: list | dict, coll: list | dict): + """Test ``validate_collection`` fails invalid ``schema`` / ``coll`` combinations.""" + with pytest.raises((ValueError, TypeError, KeyError)): + common.validate_collection(schema, coll) + + @pytest.mark.parametrize('file', ['odm_image_file', 'odm_image_url']) def test_get_filename(file: str, request: pytest.FixtureRequest): """Test get_filename() returns with different ``file`` objects.""" From d44974286f844072b9fd7e70d5ff2abd388da668 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Sun, 25 Aug 2024 14:24:23 +0200 Subject: [PATCH 50/93] import PanSharpen --- orthority/__init__.py | 1 + 1 file changed, 1 insertion(+) diff --git a/orthority/__init__.py b/orthority/__init__.py index bef01a2..91d6ec1 100644 --- a/orthority/__init__.py +++ b/orthority/__init__.py @@ -28,6 +28,7 @@ from orthority.enums import Compress, Interp from orthority.factory import FrameCameras, RpcCameras from orthority.ortho import Ortho +from orthority.pan_sharp import PanSharpen # Add a NullHandler to the package logger to hide logs by default. Applications can then add From 87b25e3931d4b3d86b6c82b4076f347acb118bc2 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Sun, 25 Aug 2024 14:25:30 +0200 Subject: [PATCH 51/93] add pan & MS file fixtures --- tests/conftest.py | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/tests/conftest.py b/tests/conftest.py index e766f95..bcd577e 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -869,6 +869,18 @@ def gcp_file() -> Path: return root_path.joinpath('tests/data/rpc/gcps.geojson') +@pytest.fixture(scope='session') +def pan_file() -> Path: + """Panchromatic image without georeferencing.""" + return root_path.joinpath('tests/data/pan_sharp/pan.tif') + + +@pytest.fixture(scope='session') +def ms_file() -> Path: + """Multispectral (RGB) image without georeferencing.""" + return root_path.joinpath('tests/data/pan_sharp/ms.tif') + + @pytest.fixture(scope='session') def pinhole_int_param_dict(interior_args: dict) -> dict: """A pinhole camera interior parameter dictionary.""" From 9719c0d7a9d165222bc6778830e6ee71589d2e4a Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Sun, 25 Aug 2024 14:28:06 +0200 Subject: [PATCH 52/93] VRT profile and ms_indexes fixes - --- orthority/pan_sharp.py | 23 +++++++++++++---------- 1 file changed, 13 insertions(+), 10 deletions(-) diff --git a/orthority/pan_sharp.py b/orthority/pan_sharp.py index ab4f1ac..51286b5 100644 --- a/orthority/pan_sharp.py +++ b/orthority/pan_sharp.py @@ -118,7 +118,7 @@ def _get_vrt_profiles(pan_file, ms_file) -> dict[str, dict]: ) # create a custom pan transform that matches pan to MS bounds pan_scale = np.array(ms_ds.shape[::-1]) / pan_ds.shape[::-1] - pan_src_transform = pan_ds.transform * rio.Affine.scale(*pan_scale) + pan_src_transform = ms_ds.transform * rio.Affine.scale(*pan_scale) # full / matching pan & MS windows pan_win = Window(0, 0, pan_ds.width, pan_ds.height) ms_win = Window(0, 0, ms_ds.width, ms_ds.height) @@ -203,6 +203,7 @@ def _validate_pan_ms_params( weights: Sequence[float] | None, ) -> tuple[Sequence[int], Sequence[float] | None]: """Validate pan / MS indexes and weights.""" + # TODO: exclude alpha band from ms_indexes if pan_index <= 0 or pan_index > pan_im.count: pan_name = common.get_filename(pan_im) raise ValueError( @@ -210,11 +211,12 @@ def _validate_pan_ms_params( ) ms_indexes = ms_im.indexes if ms_indexes is None or len(ms_indexes) == 0 else ms_indexes - if np.any(ms_indexes_ := np.array(ms_indexes) <= 0) or np.any(ms_indexes_ > ms_im.count): + ms_indexes_ = np.array(ms_indexes) + if np.any(ms_indexes_ <= 0) or np.any(ms_indexes_ > ms_im.count): ms_name = common.get_filename(ms_im) raise ValueError( - f"Multispectral indexes {tuple(ms_indexes.tolist())} contain invalid values for " - f"'{ms_name}' with {ms_im.count} band(s)" + f"Multispectral indexes {tuple(ms_indexes)} contain invalid values for '{ms_name}' " + f"with {ms_im.count} band(s)" ) weights = None if weights is None or len(weights) == 0 else weights @@ -232,7 +234,6 @@ def _get_stats( ms_im: rio.DatasetReader, pan_index: int, ms_indexes: Sequence[int] | np.ndarray, - interp: Resampling, progress: dict, ) -> tuple[np.ndarray, np.ndarray]: """Return pan / MS means and covariances for the given datasets. Uses the "Numerically @@ -323,17 +324,18 @@ def get_weights(cov: np.ndarray, weights: np.ndarray = None) -> np.ndarray: """Return normalised MS to pan weights. If ``weights`` is not provided, weights are estimated from the given pan / MS covariance. """ - # TODO: weights for different sections of the same image should be the ~same, but aren't + # TODO: understand the behaviour of user provided weights with zeros if weights is None: # find the LS solution for the weights as described in section 2.2 & eq 6 - weights = np.linalg.lstsq(cov[1:, 1:], cov[0, 1:].reshape(-1, 1), rcond=None)[0].T + weights = np.linalg.lstsq(cov[1:, 1:], cov[0, 1:].reshape(-1, 1), rcond=None)[0] + weights = weights.squeeze() # redo the LS without negatively weighted bands if there are any if np.any(weights < 0): ms_indexes_ = np.where(weights > 0)[0] + 1 ms_cov = cov[ms_indexes_, :][:, ms_indexes_] pan_ms_cov = cov[0, ms_indexes_].reshape(-1, 1) - weights_ = np.linalg.lstsq(ms_cov, pan_ms_cov, rcond=None)[0].T + weights_ = np.linalg.lstsq(ms_cov, pan_ms_cov, rcond=None)[0].squeeze() # use the updated weights if they are positive if np.all(weights_ >= 0): @@ -591,8 +593,9 @@ def process( # open output image dtype = dtype or np.promote_types(pan_im.dtypes[0], ms_im.dtypes[0]) + colorinterp = [ms_im.colorinterp[mi - 1] for mi in ms_indexes] out_profile, write_mask = common.create_profile( - dtype, compress=compress, write_mask=write_mask, colorinterp=ms_im.colorinterp + dtype, compress=compress, write_mask=write_mask, colorinterp=colorinterp ) pan_profile = self._profiles['pan_to_pan'] out_profile.update( @@ -607,7 +610,7 @@ def process( ) # find pan sharpening parameters from image stats - means, cov = self._get_stats(pan_im, ms_im, pan_index, ms_indexes, interp, progress[0]) + means, cov = self._get_stats(pan_im, ms_im, pan_index, ms_indexes, progress[0]) params = self._get_params(means, cov, weights) # open pan & upsampled MS WarpedVRTs that lie on the pan resolution grid, and have From 905cbd591e51a20603fe1b9a2f532140696ec0a5 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Sun, 25 Aug 2024 14:28:42 +0200 Subject: [PATCH 53/93] add PanSharpen tests - --- tests/test_pan_sharp.py | 522 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 522 insertions(+) create mode 100644 tests/test_pan_sharp.py diff --git a/tests/test_pan_sharp.py b/tests/test_pan_sharp.py new file mode 100644 index 0000000..0785e3c --- /dev/null +++ b/tests/test_pan_sharp.py @@ -0,0 +1,522 @@ +# Copyright The Orthority Contributors. +# +# This file is part of Orthority. +# +# Orthority is free software: you can redistribute it and/or modify it under the terms of the GNU +# Affero General Public License as published by the Free Software Foundation, either version 3 of +# the License, or (at your option) any later version. +# +# Orthority is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without +# even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Affero General Public License for more details. +# +# You should have received a copy of the GNU Affero General Public License along with Orthority. +# If not, see . + +from __future__ import annotations + +import logging +import os +from functools import partial +from pathlib import Path + +import numpy as np +import pytest +import rasterio as rio +from rasterio.enums import Resampling, MaskFlags +from rasterio.vrt import WarpedVRT +from rasterio.windows import Window + +from orthority import common +from orthority.enums import Interp, Compress +from orthority.pan_sharp import PanSharpen + +logger = logging.getLogger(__name__) + + +@pytest.fixture(scope='session') +def pan_sharpen(pan_file: Path, ms_file: Path) -> PanSharpen: + """A pan sharpener.""" + return PanSharpen(pan_file, ms_file) + + +def test_init_profiles(pan_file: Path, ms_file: Path): + """Basic test of pan / MS reprojection profiles.""" + pan_sharp = PanSharpen(pan_file, ms_file) + + req_keys = ['crs', 'src_transform', 'transform', 'width', 'height'] + for profile_key in ['pan_to_pan', 'pan_to_ms', 'ms_to_ms', 'ms_to_pan']: + assert profile_key in pan_sharp._profiles + profile = pan_sharp._profiles[profile_key] + assert all([k in profile for k in req_keys]) + assert profile['dtype'] == PanSharpen._working_dtype + assert common.nan_equals(profile['nodata'], PanSharpen._working_nodata) + assert profile['num_threads'] == os.cpu_count() + + +def test_init_res_error(pan_file: Path, ms_file: Path): + """Test initialisation raises an error when the pan resolution is larger than the multispectral + resolution. + """ + with pytest.raises(ValueError) as ex: + _ = PanSharpen(ms_file, pan_file) + assert 'resolution' in str(ex.value) + + +def test_init_bounds_error(odm_dem_file: Path, ngi_dem_file: Path): + """Test initialisation raises an error when pan and multispectral bounds don't overlap.""" + with pytest.raises(ValueError) as ex: + _ = PanSharpen(odm_dem_file, ngi_dem_file) + assert 'bounds' in str(ex.value) + + +def _test_pan_sharp_file(out_file: Path, ms_file: Path | rio.DatasetReader): + """Test the pan sharpened ``out_file`` by reprojecting it to the grid of the given + multispectral ``ms_file`` and comparing. + """ + with common.OpenRaster(ms_file, 'r') as ms_im, common.OpenRaster(out_file, 'r') as out_im_: + # prepare parameters for reprojecting output to MS grid + if (ms_im.crs is None and ms_im.transform.is_identity) or ( + out_im_.crs is None and out_im_.transform.is_identity + ): + # MS or output not georeferenced - assume bounds match + ms_crs = out_im_.crs + scale = np.array(out_im_.shape) / ms_im.shape + ms_transform = out_im_.transform * rio.Affine.scale(*scale[::-1]) + ms_win = Window(0, 0, ms_im.width, ms_im.height) + else: + # MS and output georeferenced + ms_crs = ms_im.crs + ms_transform = ms_im.transform + # find MS window corresponding to output bounds + ms_win = common.expand_window_to_grid(ms_im.window(*out_im_.bounds)) + + profile = dict( + crs=ms_crs, + transform=ms_transform, + width=ms_im.width, + height=ms_im.height, + dtype='float32', + nodata=float('nan'), + resampling=Resampling.average, + ) + + # read reprojected output + with WarpedVRT(out_im_, **profile) as out_im: + out_array = out_im.read(window=ms_win) + + # read MS window corresponding to output bounds + ms_array = ms_im.read(window=ms_win, out_dtype='float32') + + # compare output to MS + abs_err = np.abs(out_array - ms_array) + assert abs_err.mean() < 1 + assert abs_err.std() < 1 + + +@pytest.mark.parametrize( + 'pan_profile, ms_profile', + [ + # pan & MS not georeferenced + (dict(), dict()), + # pan georeferenced + ( + dict(crs='EPSG:3857', src_transform=(t := rio.Affine(2, 0, 10, 0, 2, 20)), transform=t), + dict(), + ), + # MS georeferenced + ( + dict(), + dict(crs='EPSG:3857', src_transform=t, transform=t), + ), + # pan & MS georeferenced with matching bounds + ( + dict(crs='EPSG:3857', src_transform=t, transform=t), + dict(crs='EPSG:3857', src_transform=(ms_t := t * rio.Affine.scale(4)), transform=ms_t), + ), + # pan & MS georeferenced with different bounds + ( + dict(crs='EPSG:3857', src_transform=t, transform=t, width=1200, height=800), + dict( + crs='EPSG:3857', + src_transform=ms_t, + transform=ms_t * rio.Affine.translation(50, 50), + width=342 - 50, + height=228 - 50, + ), + ), + ], +) +def test_georef(pan_file: Path, ms_file: Path, pan_profile: dict, ms_profile: dict, tmp_path: Path): + """Test pan sharpening with different combinations of pan & MS georeferencing and bounds + (where no combinations include nodata areas). + """ + out_file = tmp_path.joinpath('pan_sharp.tif') + with rio.open(pan_file, 'r') as pan_im_, rio.open(ms_file, 'r') as ms_im_: + # set profile widths & heights if they are not set already + pan_profile['width'] = pan_profile.get('width', pan_im_.width) + pan_profile['height'] = pan_profile.get('height', pan_im_.height) + ms_profile['width'] = ms_profile.get('width', ms_im_.width) + ms_profile['height'] = ms_profile.get('height', ms_im_.height) + + # simulate pan & MS georeferencing, and pan sharpen + with WarpedVRT(pan_im_, **pan_profile) as pan_im, WarpedVRT(ms_im_, **ms_profile) as ms_im: + pan_sharp = PanSharpen(pan_im, ms_im) + pan_sharp.process(out_file, weights=(1, 1, 1), compress='deflate') + assert out_file.exists() + + # reproject output to MS grid and compare + _test_pan_sharp_file(out_file, ms_im) + + +def test_mask(pan_file: Path, ms_file: Path, tmp_path: Path): + """Test masking in the pan sharpened image with simulated pan & MS that have nodata in the + common bounds area. + """ + with rio.open(pan_file, 'r') as pan_im_, rio.open(ms_file, 'r') as ms_im_: + # set up pan & MS WarpedVRT profiles that add nodata buffers + pan_src_transform = rio.Affine(2, 0, 1000, 0, 2, 2000) + pan_transform = pan_src_transform * rio.Affine.translation(-100, -100) + pan_profile = dict( + crs='EPSG:3857', + src_transform=pan_src_transform, + transform=pan_transform, + width=pan_im_.width + 200, + height=pan_im_.height + 200, + dtype='float32', + nodata=float('nan'), + ) + scale = np.array(pan_im_.shape) / ms_im_.shape + ms_src_transform = pan_src_transform * rio.Affine.scale(*scale[::-1]) + ms_transform = ms_src_transform * rio.Affine.translation(-25, -25) + ms_profile = dict( + crs='EPSG:3857', + src_transform=ms_src_transform, + transform=ms_transform, + width=ms_im_.width + 50, + height=ms_im_.height + 50, + dtype='float32', + nodata=float('nan'), + ) + + # simulate pan & MS with nodata buffers + with WarpedVRT(pan_im_, **pan_profile) as pan_im, WarpedVRT(ms_im_, **ms_profile) as ms_im: + # pan sharpen + pan_sharp = PanSharpen(pan_im, ms_im) + out_file = tmp_path.joinpath('pan_sharp.tif') + pan_sharp.process(out_file, weights=(1, 1, 1), compress='deflate') + + # read MS data to compare against + ms_mask = ms_im.dataset_mask().astype('bool', copy=False) + ms_array = ms_im.read() + + assert out_file.exists() + + # reproject output to MS grid & read + out_profile = dict( + transform=ms_transform, + width=ms_im.width, + height=ms_im.height, + resampling=Resampling.average, + ) + with WarpedVRT(rio.open(out_file, 'r'), **out_profile) as out_im: + out_mask = out_im.dataset_mask().astype('bool', copy=False) + out_array = out_im.read() + + # compare + assert np.all(out_mask == ms_mask) + abs_err = np.abs(out_array[:, out_mask] - ms_array[:, ms_mask]) + assert abs_err.mean() < 1 + assert abs_err.std() < 1 + + +def test_stats(pan_file: Path, ms_file: Path, monkeypatch: pytest.MonkeyPatch): + """Test block-by-block ``PanSharpen._get_stats()`` against full band reference values.""" + pan_sharp = PanSharpen(pan_file, ms_file) + + with rio.open(ms_file, 'r') as ms_im, rio.open(pan_file, 'r') as pan_im_: + # find reference full band stats + ms_array = ms_im.read(out_dtype='float64') + with WarpedVRT( + pan_im_, **pan_sharp._profiles['pan_to_ms'], resampling=Resampling.average + ) as pan_im: + pan_array = pan_im.read() + pan_ms_array = np.concat( + (pan_array.reshape(1, -1), ms_array.reshape(ms_array.shape[0], -1)), axis=0 + ) + ref_means = pan_ms_array.mean(axis=1) + ref_cov = np.cov(pan_ms_array) + + # find test block-by-block stats + pan_sharp = PanSharpen(pan_file, ms_file) + # patch _block_windows to use smaller block size (forces >> 1 block) + monkeypatch.setattr( + PanSharpen, '_block_windows', partial(PanSharpen._block_windows, block_shape=(64, 64)) + ) + test_means, test_cov = pan_sharp._get_stats(pan_im_, ms_im, 1, ms_im.indexes, {}) + + assert test_means == pytest.approx(ref_means, abs=1e-6) + assert test_cov == pytest.approx(ref_cov, abs=1e-6) + + +def test_weights_auto(pan_file: Path, ms_file: Path): + """Test estimated MS to pan weights returned by ``PanSharpen._get_params()`` against expected + values. + """ + pan_sharp = PanSharpen(pan_file, ms_file) + with rio.open(ms_file, 'r') as ms_im, rio.open(pan_file, 'r') as pan_im: + means, cov = pan_sharp._get_stats(pan_im, ms_im, 1, ms_im.indexes, {}) + params = pan_sharp._get_params(means, cov, None) + + # assumes pan == sum(MS bands) exactly + assert params['weights'] == pytest.approx(1 / 3, abs=0.01) + assert np.sum(params['weights']) == pytest.approx(1, abs=1e-6) + + +@pytest.mark.parametrize('weights', [(1, 1, 1), (1, 2, 3)]) +def test_weights_user(pan_file: Path, ms_file: Path, weights: tuple | None): + """Test user provided MS to pan weights are normalised and passed through + ``PanSharpen._get_params()``. + """ + pan_sharp = PanSharpen(pan_file, ms_file) + with rio.open(ms_file, 'r') as ms_im, rio.open(pan_file, 'r') as pan_im: + means, cov = pan_sharp._get_stats(pan_im, ms_im, 1, ms_im.indexes, {}) + params = pan_sharp._get_params(means, cov, weights) + + weights = np.array(weights) / np.sum(weights) + assert np.all(params['weights'] == weights) + + +@pytest.mark.parametrize('weights', [(1, 1, 1), (1, 2, 3)]) +def test_gs_coeffs(pan_file: Path, ms_file: Path, weights: tuple): + """Test ``PanSharpen._get_params()`` Gram-Schmidt coefficients against full band reference + values. + """ + working_dtype = PanSharpen._working_dtype + weights = np.array(weights) / np.sum(weights) + + # find reference coefficients using full band approach + def gs_foward(ms_array: np.array, weights: np.array) -> list[np.array]: + """Full band forward GS transform from https://patents.google.com/patent/US6011875A/en.""" + gs_pan = weights.dot(ms_array) + gs_array = np.zeros((ms_array.shape[0] + 1, ms_array.shape[1]), dtype=working_dtype) + gs_array[0] = gs_pan + gs_coeffs = [] + means = ms_array.mean(axis=1) + + for bi in range(0, ms_array.shape[0]): + c = np.cov(ms_array[bi], gs_array[: bi + 1]) + phi = c[0, 1:] / np.diag(c)[1:] + gs_array[bi + 1] = ms_array[bi] - means[bi] - phi.dot(gs_array[: bi + 1]) + gs_coeffs.append(phi) + + return gs_coeffs + + with rio.open(ms_file, 'r') as ms_im: + ms_array = ms_im.read(out_dtype=working_dtype) + ms_array = ms_array.reshape(ms_array.shape[0], -1) + ref_coeffs = gs_foward(ms_array, weights) + + # find test coefficients using PanSharpen + pan_sharp = PanSharpen(pan_file, ms_file) + with rio.open(ms_file, 'r') as ms_im, rio.open(pan_file, 'r') as pan_im: + means, cov = pan_sharp._get_stats(pan_im, ms_im, 1, ms_im.indexes, {}) + params = pan_sharp._get_params(means, cov, weights) + + for test_coeff, ref_coeff in zip(params['coeffs'], ref_coeffs): + assert test_coeff == pytest.approx(ref_coeff, abs=1e-6) + + +@pytest.mark.parametrize('weights', [(1, 1, 1), (1, 2, 3)]) +def test_pan_norm(pan_file: Path, ms_file: Path, weights: tuple): + """Test ``PanSharpen._get_params()`` pan normalisation parameters against full band reference + values. + """ + working_dtype = PanSharpen._working_dtype + weights = np.array(weights) / np.sum(weights) + pan_sharp = PanSharpen(pan_file, ms_file) + + # find reference parameters using full band approach + def get_pan_norm(pan_array: np.ndarray, ms_array: np.ndarray, weights: np.ndarray): + """Return pan normalisation parameters for given arrays.""" + pan_mean, pan_std = pan_array.mean(), pan_array.std() + pan_sim_array = np.dot(weights, ms_array) + pan_sim_mean, pan_sim_std = pan_sim_array.mean(), pan_sim_array.std() + gain = pan_sim_std / pan_std + bias = pan_sim_mean - (gain * pan_mean) + return gain, bias + + with rio.open(ms_file, 'r') as ms_im, rio.open(pan_file, 'r') as pan_im_: + ms_array = ms_im.read(out_dtype=working_dtype) + ms_array = ms_array.reshape(ms_array.shape[0], -1) + + with WarpedVRT( + pan_im_, **pan_sharp._profiles['pan_to_ms'], resampling=Resampling.average + ) as pan_im: + pan_array = pan_im.read() + pan_array = pan_array.reshape(1, -1) + + ref_gain, ref_bias = get_pan_norm(pan_array, ms_array, weights) + + # find test parameters using PanSharpen + means, cov = pan_sharp._get_stats(pan_im_, ms_im, 1, ms_im.indexes, {}) + params = pan_sharp._get_params(means, cov, weights) + + assert params['gain'] == pytest.approx(ref_gain, abs=1e-6) + assert params['bias'] == pytest.approx(ref_bias, abs=1e-6) + + +def test_process_pan_index_error(pan_sharpen: PanSharpen, tmp_path: Path): + """Test ``PanSharpen.process()`` raises an error when ``pan_index`` is invalid.""" + out_file = tmp_path.joinpath('pan_sharp.tif') + with pytest.raises(ValueError) as ex: + pan_sharpen.process(out_file, pan_index=2) + assert 'Pan index' in str(ex) + + +@pytest.mark.parametrize( + 'ms_indexes, weights', [((1, 2, 3), (1, 1, 1)), ((3, 2, 1, 1), (1, 1, 0.5, 0.5))] +) +def test_process_ms_index( + pan_file: Path, ms_file: Path, tmp_path: Path, ms_indexes: tuple, weights: tuple +): + """Test pan sharpened bands are correctly defined by the ``PanSharpen.process()`` + ``ms_indexes`` argument. + """ + # note that ms_indexes and weights must give a weighted sum of indexed MS bands, that equals + # the plain sum of MS bands (as pan_file==sum(ms_file bands)) + pan_sharp = PanSharpen(pan_file, ms_file) + out_file = tmp_path.joinpath('pan_sharp.tif') + pan_sharp.process(out_file, ms_indexes=ms_indexes, weights=weights, compress='deflate') + assert out_file.exists() + + # reproject output to MS grid for comparison + with WarpedVRT( + rio.open(out_file, 'r'), **pan_sharp._profiles['pan_to_ms'], resampling=Resampling.average + ) as out_im, rio.open(ms_file, 'r') as ms_im: + assert out_im.count == len(ms_indexes) + out_array = out_im.read() + # read MS in same order as output + ms_array = ms_im.read(indexes=ms_indexes) + + # compare + abs_err = np.abs(out_array - ms_array) + assert abs_err.mean() < 1 + assert abs_err.std() < 1 + + +def test_process_ms_indexes_error(pan_sharpen: PanSharpen, tmp_path: Path): + """Test ``PanSharpen.process()`` raises an error when ``ms_indexes`` is invalid.""" + out_file = tmp_path.joinpath('pan_sharp.tif') + with pytest.raises(ValueError) as ex: + pan_sharpen.process(out_file, ms_indexes=[4]) + assert 'Multispectral indexes' in str(ex) + + +@pytest.mark.parametrize('interp', [Interp.bilinear, Interp.cubic, Interp.lanczos]) +def test_process_interp(pan_sharpen: PanSharpen, tmp_path: Path, interp: Interp): + """Test the ``PanSharpen.process()`` ``interp`` argument by comparing with an + ``interp='nearest'`` image. + """ + ref_file = tmp_path.joinpath('ref.tif') + pan_sharpen.process(ref_file, compress='deflate', interp=Interp.nearest) + test_file = tmp_path.joinpath('test.tif') + pan_sharpen.process(test_file, compress='deflate', interp=interp) + + with rio.open(ref_file, 'r') as ref_im, rio.open(test_file, 'r') as test_im: + ref_array = ref_im.read(out_dtype='float32') + test_array = test_im.read(out_dtype='float32') + + # compare + assert np.any(test_array != ref_array) + abs_diff = np.abs(test_array - ref_array) + assert abs_diff.mean() < 5 + assert abs_diff.std() < 5 + + +@pytest.mark.parametrize('write_mask', [False, True]) +def test_process_write_mask(pan_sharpen: PanSharpen, tmp_path: Path, write_mask: bool): + """Test the ``PanSharpen.process()`` ``write_mask`` argument.""" + out_file = tmp_path.joinpath('pan_sharp.tif') + pan_sharpen.process(out_file, write_mask=write_mask) + + with rio.open(out_file, 'r') as out_im: + mask_flag = MaskFlags.per_dataset if write_mask else MaskFlags.nodata + assert all([mf[0] == mask_flag for mf in out_im.mask_flag_enums]) + assert ( + (out_im.nodata is None) + if write_mask + else common.nan_equals(out_im.nodata, common._nodata_vals[out_im.dtypes[0]]) + ) + + +@pytest.mark.parametrize( + 'pan_dtype, out_dtype', + [('uint8', None), ('float32', None), *[(None, dt) for dt in common._nodata_vals.keys()]], +) +def test_process_dtype( + pan_file: Path, ms_file: Path, tmp_path: Path, pan_dtype: str, out_dtype: str +): + """Test the ``PanSharpen.process()`` ``dtype`` argument, and its effect on the ``compress`` + default value behaviour. + """ + with WarpedVRT(rio.open(pan_file, 'r'), dtype=pan_dtype) as pan_im: + pan_sharp = PanSharpen(pan_im, ms_file) + out_file = tmp_path.joinpath('pan_sharp.tif') + pan_sharp.process(out_file, write_mask=False, dtype=out_dtype, compress=None) + + with rio.open(ms_file, 'r') as ms_im: + out_dtype = out_dtype or str(np.promote_types(pan_im.dtypes[0], ms_im.dtypes[0])) + compress = Compress.jpeg if out_dtype == 'uint8' else Compress.deflate + + with rio.open(out_file, 'r') as out_im: + assert out_im.profile['dtype'] == out_dtype + assert out_im.profile['compress'] == compress + assert common.nan_equals(out_im.nodata, common._nodata_vals[out_dtype]) + + +@pytest.mark.parametrize('compress', Compress) +def test_process_compress(pan_sharpen: PanSharpen, tmp_path: Path, compress: Compress): + """Test the ``PanSharpen.process()`` ``compress`` argument, and its effect on the ``write_mask`` + default value behaviour. + """ + out_file = tmp_path.joinpath('pan_sharp.tif') + pan_sharpen.process(out_file, compress=compress) + + with rio.open(out_file, 'r') as out_im: + mask_flag = MaskFlags.per_dataset if compress is Compress.jpeg else MaskFlags.nodata + assert all([mf[0] == mask_flag for mf in out_im.mask_flag_enums]) + assert out_im.profile['compress'] == compress + + +@pytest.mark.parametrize('build_ovw', [True, False]) +def test_process_overview(pan_sharpen: PanSharpen, tmp_path: Path, build_ovw: bool): + """Test ``PanSharpen.process()`` creates overview(s) according to the ``build_ovw`` value.""" + out_file = tmp_path.joinpath('pan_sharp.tif') + pan_sharpen.process(out_file, build_ovw=build_ovw) + assert out_file.exists() + + with rio.open(out_file, 'r') as out_im: + assert min(out_im.shape) >= 512 + assert len(out_im.overviews(1)) > 0 if build_ovw else len(out_im.overviews(1)) == 0 + + +def test_process_progress(pan_sharpen: PanSharpen, tmp_path: Path, capsys: pytest.CaptureFixture): + """Test ``PanSharpen.process()`` progress bar display.""" + # default bars + out_file = tmp_path.joinpath('pan_sharp.tif') + pan_sharpen.process(out_file, progress=True) + cap = capsys.readouterr() + progress_words = ['Statistics', 'Sharpening', 'blocks', '100%'] + assert all([w in cap.err for w in progress_words]) + + # no bars + pan_sharpen.process(out_file, overwrite=True, progress=False) + cap = capsys.readouterr() + assert not any([w in cap.err for w in progress_words]) + + # custom bars + descs = ['bar1', 'bar2'] + pan_sharpen.process(out_file, overwrite=True, progress=[dict(desc=d) for d in descs]) + cap = capsys.readouterr() + assert all([w in cap.err for w in descs]) From e2ae0b77aba1e69cf61ac8b4d0c0122929b23b66 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Mon, 26 Aug 2024 15:22:49 +0200 Subject: [PATCH 54/93] add thread pool shutdown --- orthority/ortho.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/orthority/ortho.py b/orthority/ortho.py index 25db370..8d4bc62 100644 --- a/orthority/ortho.py +++ b/orthority/ortho.py @@ -264,6 +264,8 @@ def _reproject_dem( # the source dem bounds. This seems suspect, although is unlikely to affect ortho # bounds so am leaving as is for now. # TODO: option to align the reprojected transform to whole number of pixels from 0 offset + # TODO: if possible, read (,mask) and reproject the dem from dataset in blocks as the ortho + # is written. # reproject dem_array to world / ortho crs and ortho resolution dem_array, dem_transform = reproject( @@ -467,7 +469,11 @@ def _remap( for tile_win in tile_wins ] for future in as_completed(futures): - future.result() + try: + future.result() + except Exception as ex: + executor.shutdown(wait=False, cancel_futures=True) + raise RuntimeError('Could not remap tile.') from ex progress.update() progress.refresh() From 7e6ceb0376a8459397348a4397158d3dd32ec244 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Mon, 26 Aug 2024 15:24:34 +0200 Subject: [PATCH 55/93] fix oty sharpen error reporting and --out-file --- orthority/cli.py | 25 ++++++++++++++----------- 1 file changed, 14 insertions(+), 11 deletions(-) diff --git a/orthority/cli.py b/orthority/cli.py index 1abbd26..1e55972 100644 --- a/orthority/cli.py +++ b/orthority/cli.py @@ -996,7 +996,7 @@ def rpc( ) @click.option( '-of', - '--out_file', + '--out-file', type=click.Path(dir_okay=False), required=True, default=None, @@ -1114,33 +1114,36 @@ def sharpen( if pan_index <= 0 or pan_index > pan_im.count: pan_name = common.get_filename(pan_im) raise click.BadParameter( - f"Pan index {pan_index} is invalid for '{pan_name}' with {pan_im.count} band(s).", + f"Pan index {pan_index} out of range for '{pan_name}' with {pan_im.count} band(s).", param_hint="'-pi' / '--pan-index'", ) - if len(ms_indexes) > 0 and ( - np.any(ms_indexes_ := np.array(ms_indexes) <= 0) or np.any(ms_indexes_ > ms_im.count) - ): + ms_err_indexes = np.array(ms_indexes) + ms_err_indexes = ms_err_indexes[(ms_err_indexes <= 0) | (ms_err_indexes > ms_im.count)] + if len(ms_indexes) > 0 and len(ms_err_indexes) > 0: ms_name = common.get_filename(ms_im) raise click.BadParameter( - f"Multispectral indexes {tuple(ms_indexes)} contain invalid values for '{ms_name}' " - f"with {ms_im.count} band(s).", + f"Multispectral indexes {tuple(ms_err_indexes.tolist())} are out of range for " + f"'{ms_name}' with {ms_im.count} band(s).", param_hint="'-mi' / '--ms-index'", ) # validate weights ms_indexes = ms_im.indexes if len(ms_indexes) == 0 else ms_indexes if len(weights) > 0 and len(weights) != len(ms_indexes): - raise ValueError( + raise click.UsageError( f"There should be the same number of multispectral to panchromatic weights " f"({len(weights)}) as multispectral indexes ({len(ms_indexes)})." ) # pan sharpen pan_sharp = PanSharpen(pan_im, ms_im) - pan_sharp.process( - pan_index=pan_index, ms_indexes=ms_indexes, weights=weights, progress=True, **kwargs - ) + try: + pan_sharp.process( + pan_index=pan_index, ms_indexes=ms_indexes, weights=weights, progress=True, **kwargs + ) + except FileExistsError as ex: + raise click.UsageError(str(ex)) def _simple_ortho( From 3743face6b857bbf2fd22d5fbba959843cc34fd9 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Mon, 26 Aug 2024 15:38:24 +0200 Subject: [PATCH 56/93] add tests for oty sharpen --- tests/test_cli.py | 270 +++++++++++++++++++++++++++++++++++++++++- tests/test_factory.py | 3 +- 2 files changed, 270 insertions(+), 3 deletions(-) diff --git a/tests/test_cli.py b/tests/test_cli.py index ace0efb..91fefc9 100644 --- a/tests/test_cli.py +++ b/tests/test_cli.py @@ -50,6 +50,12 @@ def frame_legacy_ngi_cli_str( ) +@pytest.fixture(scope='session') +def sharpen_cli_str(pan_file: Path, ms_file: Path) -> str: + """``oty sharpen`` CLI string to pan sharpen test images.""" + return f'sharpen --pan {pan_file} --multispectral {ms_file}' + + def test_oty_verbosity( frame_legacy_ngi_cli_str: str, ngi_image_file: Path, tmp_path: Path, runner: CliRunner ): @@ -846,7 +852,7 @@ def test_frame_compress( def test_frame_compress_error(frame_legacy_ngi_cli_str: str, tmp_path: Path, runner: CliRunner): - """Test ``oty frame --dtype`` with an invalid dtype raises an error.""" + """Test ``oty frame --compress`` with an invalid compression raises an error.""" cli_str = frame_legacy_ngi_cli_str + f' --out-dir {tmp_path} --compress other' result = runner.invoke(cli, cli_str.split()) assert result.exit_code != 0, result.stdout @@ -935,6 +941,9 @@ def test_frame_overwrite( assert len(ortho_files) == 1 assert ortho_file == ortho_files[0] + with rio.open(ortho_files[0], 'r'): + pass + def test_frame_overwrite_error( frame_legacy_ngi_cli_str: str, ngi_image_file: Path, tmp_path: Path, runner: CliRunner @@ -1414,6 +1423,265 @@ def test_rpc_refine_method( assert ortho_bounds[1] != pytest.approx(ortho_bounds[0], abs=1e-6) +def test_sharpen(sharpen_cli_str: str, tmp_path: Path, runner: CliRunner): + """Test ``oty sharpen`` generates an output image.""" + out_file = tmp_path.joinpath('pan_sharp.tif') + cli_str = sharpen_cli_str + f' --out-file {out_file}' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code == 0, result.stdout + assert out_file.exists() + with rio.open(out_file, 'r'): + pass + + +def test_sharpen_pan_missing_error(ms_file: Path, tmp_path: Path, runner: CliRunner): + """Test ``oty sharpen`` without --pan raises an error.""" + out_file = tmp_path.joinpath('pan_sharp.tif') + cli_str = f'sharpen --multispectral {ms_file} --out-file {out_file}' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code != 0, result.stdout + assert '--pan' in result.stdout and 'missing' in result.stdout.lower() + + +def test_sharpen_pan_not_found_error(ms_file: Path, tmp_path: Path, runner: CliRunner): + """Test ``oty sharpen`` raises an error with a non-existent --pan file.""" + pan_file = 'unknown.tif' + out_file = tmp_path.joinpath('pan_sharp.tif') + cli_str = f'sharpen --pan {pan_file} --multispectral {ms_file} --out-file {out_file}' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code != 0, result.stdout + assert ( + '--pan' in result.stdout and 'No such file' in result.stdout and pan_file in result.stdout + ) + + +def test_sharpen_ms_missing_error(pan_file: Path, tmp_path: Path, runner: CliRunner): + """Test ``oty sharpen`` without --multispectral raises an error.""" + out_file = tmp_path.joinpath('pan_sharp.tif') + cli_str = f'sharpen --pan {pan_file} --out-file {out_file}' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code != 0, result.stdout + assert '--multispectral' in result.stdout and 'missing' in result.stdout.lower() + + +def test_sharpen_ms_not_found_error(pan_file: Path, tmp_path: Path, runner: CliRunner): + """Test ``oty sharpen`` raises an error with a non-existent --multispectral file.""" + ms_file = 'unknown.tif' + out_file = tmp_path.joinpath('pan_sharp.tif') + cli_str = f'sharpen --pan {pan_file} --multispectral {ms_file} --out-file {out_file}' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code != 0, result.stdout + assert ( + '--multispectral' in result.stdout + and 'No such file' in result.stdout + and ms_file in result.stdout + ) + + +def test_sharpen_out_file_missing_error(pan_file: Path, ms_file: Path, runner: CliRunner): + """Test ``oty sharpen`` without --out-file raises an error.""" + cli_str = f'sharpen --pan {pan_file} --multispectral {ms_file}' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code != 0, result.stdout + assert '--out-file' in result.stdout and 'missing' in result.stdout.lower() + + +def test_sharpen_pan_index_error(sharpen_cli_str: str, tmp_path: Path, runner: CliRunner): + """Test ``oty sharpen`` raises an error when --pan-index is out of range.""" + out_file = tmp_path.joinpath('pan_sharp.tif') + cli_str = sharpen_cli_str + f' --out-file {out_file} --pan-index 2' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code != 0, result.stdout + assert '--pan-index' in result.stdout and 'out of range' in result.stdout + + +def test_sharpen_ms_index(sharpen_cli_str: str, tmp_path: Path, runner: CliRunner): + """Test ``oty sharpen`` --ms-index defines MS bands for pan-sharpening.""" + out_file = tmp_path.joinpath('pan_sharp.tif') + cli_str = sharpen_cli_str + f' --out-file {out_file} --ms-index 1 --ms-index 2' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code == 0, result.stdout + assert out_file.exists() + with rio.open(out_file, 'r') as out_im: + assert out_im.count == 2 + + +def test_sharpen_ms_index_error(sharpen_cli_str: str, tmp_path: Path, runner: CliRunner): + """Test ``oty sharpen`` raises an error when --ms-index is out of range.""" + out_file = tmp_path.joinpath('pan_sharp.tif') + cli_str = sharpen_cli_str + f' --out-file {out_file} --ms-index 1 --ms-index 0' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code != 0, result.stdout + assert '--ms-index' in result.stdout and 'out of range' in result.stdout + + +def test_sharpen_weight(sharpen_cli_str: str, tmp_path: Path, runner: CliRunner): + """Test ``oty sharpen`` --weight sets MS to pan weights by comparing output images sharpened + with different weights. + """ + out_filenames = ['pan_sharp1.tif', 'pan_sharp2.tif'] + weight_strs = [ + '--ms-index 1 --ms-index 2 --weight 1 --weight 1', + '--ms-index 1 --ms-index 2 --weight 1 --weight 2', + ] + out_arrays = [] + for out_filename, weight_str in zip(out_filenames, weight_strs): + out_file = tmp_path.joinpath(out_filename) + cli_str = sharpen_cli_str + f' --out-file {out_file} {weight_str}' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code == 0, result.stdout + assert out_file.exists() + + with rio.open(out_file, 'r') as im: + out_arrays.append(im.read()) + + assert np.any(out_arrays[0] != out_arrays[1]) + + +def test_sharpen_weight_error(sharpen_cli_str: str, tmp_path: Path, runner: CliRunner): + """Test ``oty sharpen`` raises an error when the number of --weight's and MS indexes do not + match. + """ + out_file = tmp_path.joinpath('pan_sharp.tif') + cli_str = sharpen_cli_str + f' --out-file {out_file} --weight 1 --weight 1' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code != 0, result.stdout + assert 'weights' in result.stdout and 'same number' in result.stdout + + +def test_sharpen_interp(sharpen_cli_str: str, tmp_path: Path, runner: CliRunner): + """Test ``oty sharpen`` --interp by comparing output files sharpened with ``nearest`` and + ``bilinear`` interpolation. + """ + out_arrays = [] + for interp in ['bilinear', 'nearest']: + out_file = tmp_path.joinpath(f'{interp}.tif') + cli_str = sharpen_cli_str + f' --out-file {out_file} --interp {interp}' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code == 0, result.stdout + assert out_file.exists() + + with rio.open(out_file, 'r') as im: + out_arrays.append(im.read()) + + assert np.any(out_arrays[0] != out_arrays[1]) + + +def test_sharpen_interp_error(sharpen_cli_str: str, tmp_path: Path, runner: CliRunner): + """Test ``oty sharpen`` --interp raises an error with an invalid interpolation value.""" + out_file = tmp_path.joinpath('pan_sharp.tif') + cli_str = sharpen_cli_str + f' --out-file {out_file} --interp other' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code != 0, result.stdout + assert '--interp' in result.stdout and 'invalid' in result.stdout.lower() + + +def test_sharpen_write_mask(sharpen_cli_str: str, tmp_path: Path, runner: CliRunner): + """Test ``oty sharpen`` --write-mask writes an internal mask to the pan sharpened file with + deflate compression. + """ + out_file = tmp_path.joinpath('pan_sharp.tif') + cli_str = sharpen_cli_str + f' --out-file {out_file} --compress deflate --write-mask' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code == 0, result.stdout + assert out_file.exists() + + with rio.open(out_file, 'r') as out_im: + assert out_im.profile['compress'] == 'deflate' + assert all([mf[0] == rio.enums.MaskFlags.per_dataset for mf in out_im.mask_flag_enums]) + + +def test_sharpen_dtype(sharpen_cli_str: str, tmp_path: Path, runner: CliRunner): + """Test ``oty sharpen`` --dtype creates a pan sharpened file with the correct dtype.""" + dtype = 'float32' + out_file = tmp_path.joinpath('pan_sharp.tif') + cli_str = sharpen_cli_str + f' --out-file {out_file} --compress deflate --dtype {dtype}' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code == 0, result.stdout + assert out_file.exists() + + with rio.open(out_file, 'r') as out_im: + assert out_im.profile['dtype'] == dtype + + +def test_sharpen_dtype_error(sharpen_cli_str: str, tmp_path: Path, runner: CliRunner): + """Test ``oty sharpen`` --dtype with an invalid dtype raises an error.""" + out_file = tmp_path.joinpath('pan_sharp.tif') + cli_str = sharpen_cli_str + f' --out-file {out_file} --compress deflate --dtype int32' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code != 0, result.stdout + assert '--dtype' in result.stdout and 'invalid' in result.stdout.lower() + + +@pytest.mark.parametrize('compress', ['jpeg', 'deflate']) +def test_sharpen_compress(sharpen_cli_str: str, compress: str, tmp_path: Path, runner: CliRunner): + """Test ``oty sharpen`` --compress creates a pan sharpened file with the correct compression.""" + out_file = tmp_path.joinpath('pan_sharp.tif') + cli_str = sharpen_cli_str + f' --out-file {out_file} --compress {compress}' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code == 0, result.stdout + assert out_file.exists() + + with rio.open(out_file, 'r') as out_im: + assert out_im.profile['compress'] == compress + + +def test_sharpen_compress_error(sharpen_cli_str: str, tmp_path: Path, runner: CliRunner): + """Test ``oty sharpen`` --compress with an invalid compression raises an error.""" + out_file = tmp_path.joinpath('pan_sharp.tif') + cli_str = sharpen_cli_str + f' --out-file {out_file} --compress other' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code != 0, result.stdout + assert '--compress' in result.stdout and 'invalid' in result.stdout.lower() + + +def test_sharpen_build_ovw(sharpen_cli_str: str, tmp_path: Path, runner: CliRunner): + """Test ``oty sharpen`` --build-ovw builds overviews.""" + out_file = tmp_path.joinpath('pan_sharp.tif') + cli_str = sharpen_cli_str + f' --out-file {out_file} --build-ovw' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code == 0, result.stdout + assert out_file.exists() + + with rio.open(out_file, 'r') as out_im: + assert len(out_im.overviews(1)) > 0 + + +def test_sharpen_no_build_ovw(sharpen_cli_str: str, tmp_path: Path, runner: CliRunner): + """Test ``oty sharpen`` --no-build-ovw does not build overviews.""" + out_file = tmp_path.joinpath('pan_sharp.tif') + cli_str = sharpen_cli_str + f' --out-file {out_file} --no-build-ovw' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code == 0, result.stdout + assert out_file.exists() + + with rio.open(out_file, 'r') as out_im: + assert len(out_im.overviews(1)) == 0 + + +def test_sharpen_overwrite(sharpen_cli_str: str, tmp_path: Path, runner: CliRunner): + """Test ``oty sharpen`` --overwrite overwrites an existing pan sharpened file.""" + out_file = tmp_path.joinpath('pan_sharp.tif') + out_file.touch() + cli_str = sharpen_cli_str + f' --out-file {out_file} --overwrite' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code == 0, result.stdout + assert out_file.exists() + + with rio.open(out_file, 'r'): + pass + + +def test_sharpen_overwrite_error(sharpen_cli_str: str, tmp_path: Path, runner: CliRunner): + """Test ``oty sharpen`` raises an error when the pan sharpened file already exists.""" + out_file = tmp_path.joinpath('pan_sharp.tif') + out_file.touch() + cli_str = sharpen_cli_str + f' --out-file {out_file}' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code != 0, result.stdout + assert 'exists' in result.stdout and out_file.name in result.stdout + + def test_simple_ortho( ngi_image_file: Path, ngi_dem_file: Path, diff --git a/tests/test_factory.py b/tests/test_factory.py index 9ebbaa7..f8f77b0 100644 --- a/tests/test_factory.py +++ b/tests/test_factory.py @@ -324,8 +324,7 @@ def test_rpc_cameras_refine_io_kwargs( def test_rpc_cameras_refine_ref_kwargs(rpc_param_file: Path, rpc_image_file: Path): - """Test refining a RPC camera factory passes through ``ref_kwargs`` to ``fit.refine_rpc()``. - """ + """Test refining a RPC camera factory passes through ``ref_kwargs`` to ``fit.refine_rpc()``.""" cameras = RpcCameras(rpc_param_file) cameras.refine([rpc_image_file], ref_kwargs=dict(method=RpcRefine.shift)) shift_rpc_param = copy.deepcopy(cameras._rpc_param_dict[rpc_image_file.name]['rpc']) From 477bff861e597af9f79eab27d0754019ff62a891 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 28 Aug 2024 11:43:22 +0200 Subject: [PATCH 57/93] make weight range >=0 --- orthority/cli.py | 8 +++++--- tests/test_cli.py | 9 ++++++--- 2 files changed, 11 insertions(+), 6 deletions(-) diff --git a/orthority/cli.py b/orthority/cli.py index 1e55972..ee027b7 100644 --- a/orthority/cli.py +++ b/orthority/cli.py @@ -260,8 +260,10 @@ def _gcp_refine_cb( def _weights_cb(ctx: click.Context, param: click.Parameter, weights: list[float]): """Click callback to validate the ``--weight`` option.""" if weights is not None: - if np.any(weights_ := np.array(weights) < 0) or np.any(weights_ > 1): - raise click.BadParameter(f"Weight values should be 0-1.", param=param) + if np.any(np.array(weights) < 0): + raise click.BadParameter( + 'Weight values should greater than or equal to 0.', param=param + ) return weights @@ -1030,7 +1032,7 @@ def rpc( default=PanSharpen._default_alg_config['weights'], show_default='auto', callback=_weights_cb, - help='Multispectral to panchromatic weights (0-1).', + help='Multispectral to panchromatic weights (≥0).', ) @click.option( '-i', diff --git a/tests/test_cli.py b/tests/test_cli.py index 91fefc9..706b0b2 100644 --- a/tests/test_cli.py +++ b/tests/test_cli.py @@ -1539,15 +1539,18 @@ def test_sharpen_weight(sharpen_cli_str: str, tmp_path: Path, runner: CliRunner) def test_sharpen_weight_error(sharpen_cli_str: str, tmp_path: Path, runner: CliRunner): - """Test ``oty sharpen`` raises an error when the number of --weight's and MS indexes do not - match. - """ + """Test ``oty sharpen`` raises an error when the --weight's are invalid.""" out_file = tmp_path.joinpath('pan_sharp.tif') cli_str = sharpen_cli_str + f' --out-file {out_file} --weight 1 --weight 1' result = runner.invoke(cli, cli_str.split()) assert result.exit_code != 0, result.stdout assert 'weights' in result.stdout and 'same number' in result.stdout + cli_str = sharpen_cli_str + f' --out-file {out_file} --weight 1 --weight -1' + result = runner.invoke(cli, cli_str.split()) + assert result.exit_code != 0, result.stdout + assert 'Weight values' in result.stdout + def test_sharpen_interp(sharpen_cli_str: str, tmp_path: Path, runner: CliRunner): """Test ``oty sharpen`` --interp by comparing output files sharpened with ``nearest`` and From 150e118b8220c0f6af3934bb853cb9ec82446136 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 28 Aug 2024 11:50:47 +0200 Subject: [PATCH 58/93] check weight values and avoid GS coeff divide by 0 --- orthority/pan_sharp.py | 34 ++++++++++++++++++++-------------- 1 file changed, 20 insertions(+), 14 deletions(-) diff --git a/orthority/pan_sharp.py b/orthority/pan_sharp.py index 51286b5..3cafc1b 100644 --- a/orthority/pan_sharp.py +++ b/orthority/pan_sharp.py @@ -220,11 +220,14 @@ def _validate_pan_ms_params( ) weights = None if weights is None or len(weights) == 0 else weights - if (weights is not None) and (len(weights) != len(ms_indexes)): - raise ValueError( - f"There should be the same number of multispectral to pan weights ({len(weights)}) " - f"as multispectral indexes ({len(ms_indexes)})." - ) + if weights is not None: + if len(weights) != len(ms_indexes): + raise ValueError( + f"There should be the same number of multispectral to pan weights " + f"({len(weights)}) as multispectral indexes ({len(ms_indexes)})." + ) + if np.any(np.array(weights) < 0): + raise ValueError('Weight values should greater than or equal to 0.') return ms_indexes, weights @@ -292,7 +295,6 @@ def get_tile_stats( ] for future in tqdm(as_completed(futures), **progress, total=len(futures)): - # TODO: put this shutdown logic in all thread pools try: tile_n, tile_mean, tile_prod = future.result() except Exception as ex: @@ -324,7 +326,6 @@ def get_weights(cov: np.ndarray, weights: np.ndarray = None) -> np.ndarray: """Return normalised MS to pan weights. If ``weights`` is not provided, weights are estimated from the given pan / MS covariance. """ - # TODO: understand the behaviour of user provided weights with zeros if weights is None: # find the LS solution for the weights as described in section 2.2 & eq 6 weights = np.linalg.lstsq(cov[1:, 1:], cov[0, 1:].reshape(-1, 1), rcond=None)[0] @@ -372,7 +373,8 @@ def get_gs_coeffs(cov: np.ndarray, weights: np.ndarray) -> list[np.ndarray]: for l in range(k + 1): num = a[l].dot(cov[k]) den = (a[l].reshape(-1, 1).dot(a[l].reshape(1, -1)) * cov).sum() - coeffs[k][l] = num / den + # the 'if' below avoids dividing by zero with canonical weight vectors + coeffs[k][l] = num / den if np.any(a[l] != 0) else 0 return coeffs @@ -400,13 +402,17 @@ def get_pan_norm( bias = pan_sim_mean - (gain * pan_mean) return gain, bias - logger.debug(f"Pan / multispectral means: {means.round(4)}.") - logger.debug(f"Pan / multispectral covariance: \n{cov.round(4)}.") weights = get_weights(cov, weights=weights) - logger.debug(f"Multispectral to pan weights: {tuple(weights.round(4).tolist())}.") coeffs = get_gs_coeffs(cov[1:, 1:], weights) gain, bias = get_pan_norm(means, cov, weights) - logger.debug(f"Simulated pan gain: {gain:.4f}, bias: {bias:.4f}.") + + if logger.getEffectiveLevel() <= logging.DEBUG: + logger.debug(f"Pan / multispectral means: {means.round(4)}.") + logger.debug(f"Pan / multispectral covariance: \n{cov.round(4)}.") + logger.debug(f"Multispectral to pan weights: {weights.round(4).tolist()}.") + coeffs_str = '\n'.join([str(c.round(4).tolist()) for c in coeffs]) + logger.debug(f"Gram-Schmidt coefficients: \n{coeffs_str}") + logger.debug(f"Simulated pan gain: {gain:.4f}, bias: {bias:.4f}.") return dict(means=means, coeffs=coeffs, weights=weights, gain=gain, bias=bias) def _process_tile_array( @@ -542,8 +548,8 @@ def process( Indexes of the multispectral bands to use (1-based). If set to ``None`` (the default), all multispectral bands are used. :param weights: - Multi-spectral to panchromatic weights. If set to ``None`` (the default), weights are - estimated from the images. + Multi-spectral to panchromatic weights (≥0). If set to ``None`` (the default), + weights are estimated from the images. :param interp: Interpolation method for upsampling the multispectral image. :param write_mask: From b938b317da86220d4782b8b96f62746f21943e61 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 28 Aug 2024 11:51:53 +0200 Subject: [PATCH 59/93] high level weights tests --- tests/test_pan_sharp.py | 39 ++++++++++++++++++++++++++++++++++----- 1 file changed, 34 insertions(+), 5 deletions(-) diff --git a/tests/test_pan_sharp.py b/tests/test_pan_sharp.py index 0785e3c..29988fc 100644 --- a/tests/test_pan_sharp.py +++ b/tests/test_pan_sharp.py @@ -377,14 +377,14 @@ def test_process_pan_index_error(pan_sharpen: PanSharpen, tmp_path: Path): @pytest.mark.parametrize( 'ms_indexes, weights', [((1, 2, 3), (1, 1, 1)), ((3, 2, 1, 1), (1, 1, 0.5, 0.5))] ) -def test_process_ms_index( +def test_process_ms_indexes( pan_file: Path, ms_file: Path, tmp_path: Path, ms_indexes: tuple, weights: tuple ): """Test pan sharpened bands are correctly defined by the ``PanSharpen.process()`` ``ms_indexes`` argument. """ - # note that ms_indexes and weights must give a weighted sum of indexed MS bands, that equals - # the plain sum of MS bands (as pan_file==sum(ms_file bands)) + # note that for this test to pass, ms_indexes and weights must give a weighted sum of indexed + # MS bands, that equals the plain sum of MS bands (as pan_file==sum(ms_file bands)) pan_sharp = PanSharpen(pan_file, ms_file) out_file = tmp_path.joinpath('pan_sharp.tif') pan_sharp.process(out_file, ms_indexes=ms_indexes, weights=weights, compress='deflate') @@ -408,9 +408,38 @@ def test_process_ms_index( def test_process_ms_indexes_error(pan_sharpen: PanSharpen, tmp_path: Path): """Test ``PanSharpen.process()`` raises an error when ``ms_indexes`` is invalid.""" out_file = tmp_path.joinpath('pan_sharp.tif') + for ms_indexes in [[0], [4]]: + with pytest.raises(ValueError) as ex: + pan_sharpen.process(out_file, ms_indexes=ms_indexes) + assert 'Multispectral indexes' in str(ex) + + +def test_process_weights(pan_file: Path, ms_file: Path, tmp_path: Path): + """Test the ``PanSharpen.process()`` ``weights`` argument by comparing pan sharpened images + with different weightings. + """ + out_arrays = [] + for wi, weights in enumerate([(1, 2, 3), (3, 2, 1)]): + pan_sharp = PanSharpen(pan_file, ms_file) + out_file = tmp_path.joinpath(f'pan_sharp_{wi}.tif') + pan_sharp.process(out_file, weights=weights, compress='deflate') + assert out_file.exists() + + with rio.open(out_file, 'r') as out_im: + out_arrays.append(out_im.read()) + + assert np.any(out_arrays[0] != out_arrays[1]) + + +def test_process_weights_error(pan_sharpen: PanSharpen, tmp_path: Path): + """Test ``PanSharpen.process()`` raises an error when ``weights`` is invalid.""" + out_file = tmp_path.joinpath('pan_sharp.tif') + with pytest.raises(ValueError) as ex: + pan_sharpen.process(out_file, weights=(1, 1)) + assert 'weights' in str(ex) and 'same number' in str(ex) with pytest.raises(ValueError) as ex: - pan_sharpen.process(out_file, ms_indexes=[4]) - assert 'Multispectral indexes' in str(ex) + pan_sharpen.process(out_file, weights=(1, 1, -1)) + assert 'Weight values' in str(ex) @pytest.mark.parametrize('interp', [Interp.bilinear, Interp.cubic, Interp.lanczos]) From b1239f0cc69b0ffee2f1de450f8438bd84297bf4 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 28 Aug 2024 12:54:18 +0200 Subject: [PATCH 60/93] ms_indexes defaults to all non-alpha bands --- orthority/cli.py | 2 +- orthority/pan_sharp.py | 12 ++++++++---- 2 files changed, 9 insertions(+), 5 deletions(-) diff --git a/orthority/cli.py b/orthority/cli.py index ee027b7..b5994de 100644 --- a/orthority/cli.py +++ b/orthority/cli.py @@ -1020,7 +1020,7 @@ def rpc( type=click.INT, multiple=True, default=PanSharpen._default_alg_config['ms_indexes'], - show_default='all bands', + show_default='all non-alpha bands', help='Indexes of the multispectral bands to use (1 based).', ) @click.option( diff --git a/orthority/pan_sharp.py b/orthority/pan_sharp.py index 3cafc1b..a23049a 100644 --- a/orthority/pan_sharp.py +++ b/orthority/pan_sharp.py @@ -28,7 +28,7 @@ import numpy as np import rasterio as rio from fsspec.core import OpenFile -from rasterio.enums import Resampling +from rasterio.enums import Resampling, ColorInterp from rasterio.vrt import WarpedVRT from rasterio.warp import transform_bounds from rasterio.windows import intersect, Window @@ -203,14 +203,18 @@ def _validate_pan_ms_params( weights: Sequence[float] | None, ) -> tuple[Sequence[int], Sequence[float] | None]: """Validate pan / MS indexes and weights.""" - # TODO: exclude alpha band from ms_indexes if pan_index <= 0 or pan_index > pan_im.count: pan_name = common.get_filename(pan_im) raise ValueError( f"Pan index {pan_index} is invalid for '{pan_name}' with {pan_im.count} band(s)" ) - ms_indexes = ms_im.indexes if ms_indexes is None or len(ms_indexes) == 0 else ms_indexes + if ms_indexes is None or len(ms_indexes) == 0: + # default to non-alpha band indexes + ms_indexes = [ + bi + 1 for bi in range(ms_im.count) if ms_im.colorinterp[bi] != ColorInterp.alpha + ] + ms_indexes_ = np.array(ms_indexes) if np.any(ms_indexes_ <= 0) or np.any(ms_indexes_ > ms_im.count): ms_name = common.get_filename(ms_im) @@ -546,7 +550,7 @@ def process( Index of the panchromatic band to use (1-based). :param ms_indexes: Indexes of the multispectral bands to use (1-based). If set to ``None`` (the default), - all multispectral bands are used. + all non-alpha multispectral bands are used. :param weights: Multi-spectral to panchromatic weights (≥0). If set to ``None`` (the default), weights are estimated from the images. From 93ed826aa18ec8d8819e6633c2002b8cf560cff2 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Thu, 29 Aug 2024 14:10:59 +0200 Subject: [PATCH 61/93] use OrthorityError for user data / argument issues --- orthority/camera.py | 10 +++++---- orthority/cli.py | 36 +++++++++++++-------------------- orthority/common.py | 6 +++--- orthority/errors.py | 4 ++-- orthority/ortho.py | 20 +++++++++--------- orthority/pan_sharp.py | 14 ++++++------- tests/test_camera.py | 4 ++-- tests/test_ortho.py | 19 ++++++++--------- tests/test_pan_sharp.py | 45 +++++++++++++++++++++-------------------- 9 files changed, 76 insertions(+), 82 deletions(-) diff --git a/orthority/camera.py b/orthority/camera.py index 0d2d5ad..47f5c9a 100644 --- a/orthority/camera.py +++ b/orthority/camera.py @@ -33,7 +33,7 @@ from orthority import common from orthority.enums import CameraType, Interp -from orthority.errors import CameraInitError, OrthorityWarning +from orthority.errors import CameraInitError, OrthorityWarning, OrthorityError from orthority.param_io import _opk_to_rotation logger = logging.getLogger(__name__) @@ -439,8 +439,8 @@ def _validate_crs(self, crs: str | CRS) -> CRS: for z in [0, 1]: xyz = warp(self._rpc_crs, crs, [self._rpc.long_off], [self._rpc.lat_off], [z]) if not xyz[2][0] == z: - raise ValueError( - "RPC camera requires a 'crs' with ellipsoidal height, or no vertical CRS." + raise OrthorityError( + "RPC camera requires a 'crs' with ellipsoidal height, or no vertical component." ) return crs @@ -985,7 +985,9 @@ def world_boundary( """ self._test_init() if self._horizon_fov(): - raise ValueError("Camera has a field of view that includes, or is above, the horizon.") + raise OrthorityError( + "Camera has a field of view that includes, or is above, the horizon." + ) ji = self.pixel_boundary(num_pts=num_pts) if np.isscalar(z): diff --git a/orthority/cli.py b/orthority/cli.py index b5994de..7d13f5c 100644 --- a/orthority/cli.py +++ b/orthority/cli.py @@ -35,7 +35,7 @@ from orthority import root_path, common from orthority.camera import create_camera, FrameCamera from orthority.enums import CameraType, Compress, Interp, RpcRefine -from orthority.errors import CrsError, CrsMissingError, ParamError +from orthority.errors import CrsError, CrsMissingError, OrthorityError from orthority.factory import Cameras, FrameCameras, RpcCameras from orthority.fit import _default_rpc_refine_method from orthority.ortho import Ortho @@ -318,7 +318,7 @@ def _ortho( # create camera for src_file try: camera = cameras.get(src_file) - except ParamError as ex: + except OrthorityError as ex: raise click.UsageError(str(ex)) # open & validate src_file (open it once here so it is not opened repeatedly) @@ -334,7 +334,6 @@ def _ortho( raise click.MissingParameter(param_hint="'-c' / '--crs'", param_type='option') # orthorectify - ortho = Ortho(src_im, dem_im, camera, crs, dem_band=dem_band) src_file_path = Path(src_file.path) tqdm_kwargs = common.get_tqdm_kwargs( desc=src_file_path.name, unit='blocks', leave=False @@ -343,8 +342,9 @@ def _ortho( out_dir, f'{src_file_path.stem}_ORTHO.tif', mode='wb' ) try: + ortho = Ortho(src_im, dem_im, camera, crs, dem_band=dem_band) ortho.process(ortho_ofile, overwrite=overwrite, progress=tqdm_kwargs, **kwargs) - except FileExistsError as ex: + except (FileExistsError, OrthorityError) as ex: raise click.UsageError(str(ex)) @@ -634,12 +634,12 @@ def frame( io_kwargs=dict(crs=crs, lla_crs=lla_crs, radians=radians), cam_kwargs=dict(distort=full_remap, alpha=alpha), ) - except (FileNotFoundError, ParamError) as ex: - raise click.UsageError(str(ex)) except CrsMissingError: raise click.MissingParameter(param_hint="'-c' / '--crs'", param_type='option') except CrsError as ex: raise click.BadParameter(str(ex), param_hint="'-c' / '--crs'") + except (FileNotFoundError, OrthorityError) as ex: + raise click.UsageError(str(ex)) # get factory CRS if not set already crs = crs or cameras.crs @@ -714,10 +714,10 @@ def exif( io_kwargs=dict(crs=crs, lla_crs=lla_crs, progress=tqdm_kwargs), cam_kwargs=dict(distort=full_remap, alpha=alpha), ) - except (FileNotFoundError, ParamError) as ex: - raise click.BadParameter(str(ex), param_hint="'SOURCE...'") except CrsError as ex: raise click.BadParameter(str(ex), param_hint="'-c' / '--crs'") + except (FileNotFoundError, OrthorityError) as ex: + raise click.BadParameter(str(ex), param_hint="'SOURCE...'") # get auto UTM CRS, if CRS not set already crs = crs or cameras.crs @@ -825,7 +825,7 @@ def odm( f"No 'reconstruction.json' file found in '/opensfm/'. {str(ex)}", param_hint="'-dd' / '--dataset-dir'", ) - except ParamError as ex: + except OrthorityError as ex: raise click.UsageError(str(ex)) # orthorectify @@ -938,7 +938,7 @@ def rpc( # create camera factory from parameter file try: cameras = RpcCameras(rpc_param_file, cam_kwargs=cam_kwargs) - except (FileNotFoundError, ParamError) as ex: + except (FileNotFoundError, OrthorityError) as ex: raise click.BadParameter(str(ex), param_hint="'-rp' / '--rpc-param'") else: # set up progress bar args @@ -949,7 +949,7 @@ def rpc( cameras = RpcCameras.from_images( src_files, io_kwargs=dict(progress=tqdm_kwargs), cam_kwargs=cam_kwargs ) - except (FileNotFoundError, ParamError) as ex: + except (FileNotFoundError, OrthorityError) as ex: raise click.BadParameter(str(ex), param_hint="'SOURCE...'") if gcp_refine is not None: @@ -964,7 +964,7 @@ def rpc( ) else: cameras.refine(gcp_refine, ref_kwargs=ref_kwargs) - except (FileNotFoundError, ParamError) as ex: + except (FileNotFoundError, OrthorityError) as ex: raise click.BadParameter(str(ex), param_hint="'-gr / --gcp-refine'") # orthorectify @@ -1130,21 +1130,13 @@ def sharpen( param_hint="'-mi' / '--ms-index'", ) - # validate weights - ms_indexes = ms_im.indexes if len(ms_indexes) == 0 else ms_indexes - if len(weights) > 0 and len(weights) != len(ms_indexes): - raise click.UsageError( - f"There should be the same number of multispectral to panchromatic weights " - f"({len(weights)}) as multispectral indexes ({len(ms_indexes)})." - ) - # pan sharpen - pan_sharp = PanSharpen(pan_im, ms_im) try: + pan_sharp = PanSharpen(pan_im, ms_im) pan_sharp.process( pan_index=pan_index, ms_indexes=ms_indexes, weights=weights, progress=True, **kwargs ) - except FileExistsError as ex: + except (FileExistsError, OrthorityError) as ex: raise click.UsageError(str(ex)) diff --git a/orthority/common.py b/orthority/common.py index 6637988..eb07bfd 100644 --- a/orthority/common.py +++ b/orthority/common.py @@ -49,7 +49,7 @@ from rasterio.enums import ColorInterp from orthority.enums import Interp, Compress -from orthority.errors import OrthorityWarning +from orthority.errors import OrthorityWarning, OrthorityError logger = logging.getLogger(__name__) @@ -417,7 +417,7 @@ def create_profile( # check dtype support dtype = str(dtype) if dtype not in _nodata_vals: - raise ValueError(f"Data type '{dtype}' is not supported.") + raise OrthorityError(f"Data type '{dtype}' is not supported.") # configure compression if compress is None: @@ -433,7 +433,7 @@ def create_profile( ) profile.update(nbits=12) elif dtype != 'uint8': - raise ValueError( + raise OrthorityError( f"JPEG compression is supported for 'uint8' and 'uint16' data types only." ) diff --git a/orthority/errors.py b/orthority/errors.py index 01fa169..7919d45 100644 --- a/orthority/errors.py +++ b/orthority/errors.py @@ -15,7 +15,7 @@ class OrthorityError(Exception): - """Base exception class.""" + """Base exception class - raised when user data or arguments are invalid.""" class ParamError(OrthorityError): @@ -30,7 +30,7 @@ class CrsMissingError(OrthorityError): """Raised when a required CRS was not specified.""" -class CameraInitError(OrthorityError): +class CameraInitError(Exception): """Raised when a camera's parameters have not been initialised.""" diff --git a/orthority/ortho.py b/orthority/ortho.py index 8d4bc62..aced22f 100644 --- a/orthority/ortho.py +++ b/orthority/ortho.py @@ -39,7 +39,7 @@ from orthority import common from orthority.camera import Camera, FrameCamera from orthority.enums import Compress, Interp -from orthority.errors import CrsMissingError, OrthorityWarning +from orthority.errors import CrsMissingError, OrthorityWarning, OrthorityError logger = logging.getLogger(__name__) @@ -132,7 +132,7 @@ def _get_init_dem( with rio.Env(GDAL_NUM_THREADS='ALL_CPUS'), common.OpenRaster(dem_file, 'r') as dem_im: if dem_band <= 0 or dem_band > dem_im.count: dem_name = common.get_filename(dem_file) - raise ValueError( + raise OrthorityError( f"DEM band {dem_band} is invalid for '{dem_name}' with {dem_im.count} band(s)" ) # crs comparison is time-consuming - perform it once here @@ -163,9 +163,7 @@ def get_win_at_zs(zs: Sequence[float]) -> Window: try: dem_win = dem_full_win.intersection(dem_win) except rio.errors.WindowError: - raise ValueError( - f"Ortho for '{self._src_name}' lies outside, or underneath the DEM." - ) + raise OrthorityError(f"Ortho for '{self._src_name}' lies outside the DEM.") return common.expand_window_to_grid(dem_win) # get a dem window containing the ortho bounds at min & max possible altitude, read the @@ -248,7 +246,9 @@ def _reproject_dem( ortho_bounds = np.array(transform_bounds(self._dem_crs, self._crs, *init_bounds)) ortho_size = ortho_bounds[2:] - ortho_bounds[:2] if np.any(resolution > ortho_size): - raise ValueError(f"'resolution' is larger than the ortho size.") + raise OrthorityError( + f"Ortho resolution for '{self._src_name}' is larger than the ortho bounds." + ) # find z scaling from dem to world / ortho crs to set MULT_FACTOR_VERTICAL_SHIFT # (rasterio does not set it automatically, as GDAL does) @@ -265,7 +265,7 @@ def _reproject_dem( # bounds so am leaving as is for now. # TODO: option to align the reprojected transform to whole number of pixels from 0 offset # TODO: if possible, read (,mask) and reproject the dem from dataset in blocks as the ortho - # is written. + # is written. or read the dem and src image in parallel, avoiding masked reads # reproject dem_array to world / ortho crs and ortho resolution dem_array, dem_transform = reproject( @@ -314,15 +314,13 @@ def _mask_dem( dem_mask_sum = dem_mask.sum() if dem_mask_sum == 0: - raise ValueError( - f"Ortho boundary for '{self._src_name}' lies outside the valid DEM area." - ) + raise OrthorityError(f"Ortho for '{self._src_name}' lies outside the valid DEM area.") elif poly_mask.sum() > dem_mask_sum or ( np.any(np.min(poly_ji, axis=1) < (0, 0)) or np.any(np.max(poly_ji, axis=1) + 1 > dem_array.shape[::-1]) ): warnings.warn( - f"Ortho boundary for '{self._src_name}' is not fully covered by the DEM.", + f"Ortho for '{self._src_name}' is not fully covered by the DEM.", category=OrthorityWarning, ) diff --git a/orthority/pan_sharp.py b/orthority/pan_sharp.py index a23049a..9bfec45 100644 --- a/orthority/pan_sharp.py +++ b/orthority/pan_sharp.py @@ -37,7 +37,7 @@ from orthority import common from orthority.enums import Compress, Interp -from orthority.errors import OrthorityWarning +from orthority.errors import OrthorityWarning, OrthorityError logger = logging.getLogger(__name__) @@ -129,7 +129,7 @@ def _get_vrt_profiles(pan_file, ms_file) -> dict[str, dict]: ms_bounds_ = transform_bounds(ms_ds.crs, pan_ds.crs, *ms_ds.bounds) ms_win_ = pan_ds.window(*ms_bounds_) if not intersect((ms_win_, pan_ds.window(*pan_ds.bounds))): - raise ValueError('Pan and multispectral bounds do not overlap.') + raise OrthorityError('Pan and multispectral bounds do not overlap.') pan_win = ms_win_.intersection(pan_ds.window(*pan_ds.bounds)) pan_win = common.expand_window_to_grid(pan_win) @@ -143,7 +143,7 @@ def _get_vrt_profiles(pan_file, ms_file) -> dict[str, dict]: pan_res = np.abs((pan_src_transform[0], pan_src_transform[4])) ms_res = np.abs((ms_src_transform[0], ms_src_transform[4])) if np.any(pan_res > ms_res): - raise ValueError( + raise OrthorityError( f'Pan resolution: {tuple(pan_res.tolist())} exceeds multispectral resolution: ' f'{tuple(ms_res.tolist())}.' ) @@ -205,7 +205,7 @@ def _validate_pan_ms_params( """Validate pan / MS indexes and weights.""" if pan_index <= 0 or pan_index > pan_im.count: pan_name = common.get_filename(pan_im) - raise ValueError( + raise OrthorityError( f"Pan index {pan_index} is invalid for '{pan_name}' with {pan_im.count} band(s)" ) @@ -218,7 +218,7 @@ def _validate_pan_ms_params( ms_indexes_ = np.array(ms_indexes) if np.any(ms_indexes_ <= 0) or np.any(ms_indexes_ > ms_im.count): ms_name = common.get_filename(ms_im) - raise ValueError( + raise OrthorityError( f"Multispectral indexes {tuple(ms_indexes)} contain invalid values for '{ms_name}' " f"with {ms_im.count} band(s)" ) @@ -226,12 +226,12 @@ def _validate_pan_ms_params( weights = None if weights is None or len(weights) == 0 else weights if weights is not None: if len(weights) != len(ms_indexes): - raise ValueError( + raise OrthorityError( f"There should be the same number of multispectral to pan weights " f"({len(weights)}) as multispectral indexes ({len(ms_indexes)})." ) if np.any(np.array(weights) < 0): - raise ValueError('Weight values should greater than or equal to 0.') + raise OrthorityError('Weight values should greater than or equal to 0.') return ms_indexes, weights diff --git a/tests/test_camera.py b/tests/test_camera.py index 4f1c8e5..88632f7 100644 --- a/tests/test_camera.py +++ b/tests/test_camera.py @@ -36,7 +36,7 @@ RpcCamera, ) from orthority.enums import CameraType, Interp -from orthority.errors import CameraInitError, OrthorityWarning +from orthority.errors import CameraInitError, OrthorityWarning, OrthorityError from tests.conftest import _dem_offset, checkerboard, create_zsurf, ortho_bounds @@ -167,7 +167,7 @@ def test_rpc_init_crs_error(im_size: tuple, rpc: dict, crs: str, request: pytest """Test ``RpcCamera`` creation raises an error when the world / ortho CRS has a vertical CRS.""" crs: str = request.getfixturevalue(crs) - with pytest.raises(ValueError) as ex: + with pytest.raises(OrthorityError) as ex: _ = RpcCamera(im_size, rpc, crs=crs) assert 'crs' in str(ex.value) and 'ellipsoidal' in str(ex.value) diff --git a/tests/test_ortho.py b/tests/test_ortho.py index 86b4456..a541581 100644 --- a/tests/test_ortho.py +++ b/tests/test_ortho.py @@ -34,6 +34,7 @@ from orthority import errors, param_io from orthority.camera import Camera, create_camera, PinholeCamera from orthority.enums import CameraType, Compress, Interp +from orthority.errors import OrthorityError from orthority.ortho import Ortho from tests.conftest import _dem_resolution @@ -132,7 +133,7 @@ def test_init_dem_band_error( rgb_byte_src_file: Path, float_utm34n_dem_file: Path, pinhole_camera: Camera, utm34n_crs: str ): """Test Ortho initialisation with incorrect ``dem_band`` raises an error.""" - with pytest.raises(ValueError) as ex: + with pytest.raises(OrthorityError) as ex: Ortho(rgb_byte_src_file, float_utm34n_dem_file, pinhole_camera, crs=utm34n_crs, dem_band=3) assert 'DEM band' in str(ex.value) @@ -154,7 +155,7 @@ def test_init_dem_coverage_error( camera = PinholeCamera(**frame_args) camera.update((0, 0, 0), (0, 0, 0)) - with pytest.raises(ValueError) as ex: + with pytest.raises(OrthorityError) as ex: _ = Ortho(rgb_byte_src_file, float_utm34n_dem_file, camera, crs=utm34n_crs) assert 'DEM' in str(ex.value) @@ -167,7 +168,7 @@ def test_init_horizon_fov_error( camera = PinholeCamera(**frame_args) camera.update((0, 0, 0), (np.pi / 2, 0, 0)) - with pytest.raises(ValueError) as ex: + with pytest.raises(OrthorityError) as ex: _ = Ortho(rgb_byte_src_file, float_utm34n_dem_file, camera, crs=utm34n_crs) assert 'horizon' in str(ex.value) @@ -183,7 +184,7 @@ def test_dem_above_camera_error( camera.update(_xyz, frame_args['opk']) # init & reproject - with pytest.raises(ValueError) as ex: + with pytest.raises(OrthorityError) as ex: _ = Ortho(rgb_byte_src_file, float_utm34n_dem_file, camera, crs=utm34n_crs) assert 'DEM' in str(ex.value) @@ -450,7 +451,7 @@ def test_reproject_dem_vert_crs_scale( def test_reproject_resolution_error(rgb_pinhole_utm34n_ortho: Ortho): """Test DEM reprojection raises an error when the resolution exceeds the ortho bounds.""" - with pytest.raises(ValueError) as ex: + with pytest.raises(OrthorityError) as ex: _, _ = rgb_pinhole_utm34n_ortho._reproject_dem(Interp.cubic, (1000, 1000)) assert 'resolution' in str(ex.value) @@ -633,9 +634,9 @@ def test_mask_dem_coverage_error( camera.update((0.0, 0.0, 1000.0), (0.0, 0.0, 0.0)) # test - with pytest.raises(ValueError) as ex: + with pytest.raises(OrthorityError) as ex: ortho._mask_dem(dem_array, dem_transform, Interp.cubic) - assert 'boundary' in str(ex.value) + assert 'lies outside' in str(ex.value) @pytest.mark.parametrize('resolution', [(30.0, 30.0), (60.0, 60.0), (60.0, 30.0)]) @@ -990,7 +991,7 @@ def test_process_dtype_error(rgb_pinhole_utm34n_ortho: Ortho, dtype: str, tmp_pa """Test unsupported dtypes raise an error.""" ortho_file = tmp_path.joinpath('test_ortho.tif') - with pytest.raises(ValueError) as ex: + with pytest.raises(OrthorityError) as ex: rgb_pinhole_utm34n_ortho.process(ortho_file, _dem_resolution, dtype=dtype) assert dtype in str(ex.value) @@ -1068,7 +1069,7 @@ def test_process_compress_jpeg_error( ortho = Ortho(float_src_file, float_utm34n_dem_file, pinhole_camera, utm34n_crs, dem_band=1) ortho_file = tmp_path.joinpath('test_ortho.tif') - with pytest.raises(ValueError) as ex: + with pytest.raises(OrthorityError) as ex: ortho.process(ortho_file, (5, 5), compress=Compress.jpeg) assert 'uint8' in str(ex.value) diff --git a/tests/test_pan_sharp.py b/tests/test_pan_sharp.py index 29988fc..8cfd5c9 100644 --- a/tests/test_pan_sharp.py +++ b/tests/test_pan_sharp.py @@ -29,6 +29,7 @@ from orthority import common from orthority.enums import Interp, Compress +from orthority.errors import OrthorityError from orthority.pan_sharp import PanSharpen logger = logging.getLogger(__name__) @@ -58,14 +59,14 @@ def test_init_res_error(pan_file: Path, ms_file: Path): """Test initialisation raises an error when the pan resolution is larger than the multispectral resolution. """ - with pytest.raises(ValueError) as ex: + with pytest.raises(OrthorityError) as ex: _ = PanSharpen(ms_file, pan_file) assert 'resolution' in str(ex.value) def test_init_bounds_error(odm_dem_file: Path, ngi_dem_file: Path): """Test initialisation raises an error when pan and multispectral bounds don't overlap.""" - with pytest.raises(ValueError) as ex: + with pytest.raises(OrthorityError) as ex: _ = PanSharpen(odm_dem_file, ngi_dem_file) assert 'bounds' in str(ex.value) @@ -210,24 +211,24 @@ def test_mask(pan_file: Path, ms_file: Path, tmp_path: Path): ms_mask = ms_im.dataset_mask().astype('bool', copy=False) ms_array = ms_im.read() - assert out_file.exists() + assert out_file.exists() - # reproject output to MS grid & read - out_profile = dict( - transform=ms_transform, - width=ms_im.width, - height=ms_im.height, - resampling=Resampling.average, - ) - with WarpedVRT(rio.open(out_file, 'r'), **out_profile) as out_im: - out_mask = out_im.dataset_mask().astype('bool', copy=False) - out_array = out_im.read() + # reproject output to MS grid & read + out_profile = dict( + transform=ms_transform, + width=ms_im.width, + height=ms_im.height, + resampling=Resampling.average, + ) + with WarpedVRT(rio.open(out_file, 'r'), **out_profile) as out_im: + out_mask = out_im.dataset_mask().astype('bool', copy=False) + out_array = out_im.read() - # compare - assert np.all(out_mask == ms_mask) - abs_err = np.abs(out_array[:, out_mask] - ms_array[:, ms_mask]) - assert abs_err.mean() < 1 - assert abs_err.std() < 1 + # compare + assert np.all(out_mask == ms_mask) + abs_err = np.abs(out_array[:, out_mask] - ms_array[:, ms_mask]) + assert abs_err.mean() < 1 + assert abs_err.std() < 1 def test_stats(pan_file: Path, ms_file: Path, monkeypatch: pytest.MonkeyPatch): @@ -369,7 +370,7 @@ def get_pan_norm(pan_array: np.ndarray, ms_array: np.ndarray, weights: np.ndarra def test_process_pan_index_error(pan_sharpen: PanSharpen, tmp_path: Path): """Test ``PanSharpen.process()`` raises an error when ``pan_index`` is invalid.""" out_file = tmp_path.joinpath('pan_sharp.tif') - with pytest.raises(ValueError) as ex: + with pytest.raises(OrthorityError) as ex: pan_sharpen.process(out_file, pan_index=2) assert 'Pan index' in str(ex) @@ -409,7 +410,7 @@ def test_process_ms_indexes_error(pan_sharpen: PanSharpen, tmp_path: Path): """Test ``PanSharpen.process()`` raises an error when ``ms_indexes`` is invalid.""" out_file = tmp_path.joinpath('pan_sharp.tif') for ms_indexes in [[0], [4]]: - with pytest.raises(ValueError) as ex: + with pytest.raises(OrthorityError) as ex: pan_sharpen.process(out_file, ms_indexes=ms_indexes) assert 'Multispectral indexes' in str(ex) @@ -434,10 +435,10 @@ def test_process_weights(pan_file: Path, ms_file: Path, tmp_path: Path): def test_process_weights_error(pan_sharpen: PanSharpen, tmp_path: Path): """Test ``PanSharpen.process()`` raises an error when ``weights`` is invalid.""" out_file = tmp_path.joinpath('pan_sharp.tif') - with pytest.raises(ValueError) as ex: + with pytest.raises(OrthorityError) as ex: pan_sharpen.process(out_file, weights=(1, 1)) assert 'weights' in str(ex) and 'same number' in str(ex) - with pytest.raises(ValueError) as ex: + with pytest.raises(OrthorityError) as ex: pan_sharpen.process(out_file, weights=(1, 1, -1)) assert 'Weight values' in str(ex) From 2586c4052a96b32bd64ef3b16be40c09bb43bf77 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Thu, 29 Aug 2024 21:54:39 +0200 Subject: [PATCH 62/93] changes to test masking with internal, nodata & alpha masks --- tests/conftest.py | 3 + tests/test_pan_sharp.py | 150 +++++++++++++++++++++++----------------- 2 files changed, 89 insertions(+), 64 deletions(-) diff --git a/tests/conftest.py b/tests/conftest.py index bcd577e..04c6ed7 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -130,6 +130,9 @@ def create_profile( height=shape[1], count=shape[0], nodata=nodata, + blockxsize=256, + blockysize=256, + interleave='band', **kwargs, ) diff --git a/tests/test_pan_sharp.py b/tests/test_pan_sharp.py index 8cfd5c9..34fd094 100644 --- a/tests/test_pan_sharp.py +++ b/tests/test_pan_sharp.py @@ -17,13 +17,14 @@ import logging import os +from contextlib import ExitStack from functools import partial from pathlib import Path import numpy as np import pytest import rasterio as rio -from rasterio.enums import Resampling, MaskFlags +from rasterio.enums import Resampling, MaskFlags, ColorInterp from rasterio.vrt import WarpedVRT from rasterio.windows import Window @@ -31,6 +32,7 @@ from orthority.enums import Interp, Compress from orthority.errors import OrthorityError from orthority.pan_sharp import PanSharpen +from tests.conftest import create_profile logger = logging.getLogger(__name__) @@ -41,6 +43,61 @@ def pan_sharpen(pan_file: Path, ms_file: Path) -> PanSharpen: return PanSharpen(pan_file, ms_file) +@pytest.fixture(scope='session') +def mask_pan_file( + pan_file: Path, webmerc_crs: str, tmp_path_factory: pytest.TempPathFactory +) -> Path: + """Panchromatic image with georeferencing and an internal mask defining a buffer of invalid + pixels. + """ + # read pan_file + with rio.open(pan_file, 'r') as src_im: + src_array = src_im.read() + + # pad src_array and create georeferenced profile + pwidth = 100 + pval = 0 + out_array = np.pad( + src_array, ((0, 0), (pwidth, pwidth), (pwidth, pwidth)), constant_values=pval + ) + transform = rio.Affine(2, 0, 10, 0, -2, 20) + out_profile = create_profile(out_array, crs=webmerc_crs, transform=transform) + + # write to output file + out_file = tmp_path_factory.mktemp('data').joinpath('mask_pan.tif') + with rio.open(out_file, 'w', **out_profile) as out_im: + out_im.write(out_array) + out_im.write_mask((out_array != pval).all(axis=0)) + return out_file + + +@pytest.fixture(scope='session') +def mask_ms_file(ms_file: Path, webmerc_crs: str, tmp_path_factory: pytest.TempPathFactory) -> Path: + """Multispectral image with georeferencing and an internal mask defining a buffer of invalid + pixels. + """ + # read pan_file + with rio.open(ms_file, 'r') as src_im: + src_array = src_im.read() + + # pad src_array and create georeferenced profile that shares bounds with mask_pan_file + scale = 4 # scale relative to mask_pan_file + pwidth = int(100 / scale) + pval = 0 + out_array = np.pad( + src_array, ((0, 0), (pwidth, pwidth), (pwidth, pwidth)), constant_values=pval + ) + transform = rio.Affine(2, 0, 10, 0, -2, 20) * rio.Affine.scale(scale) + out_profile = create_profile(out_array, crs=webmerc_crs, transform=transform) + + # write to output file + out_file = tmp_path_factory.mktemp('data').joinpath('mask_ms.tif') + with rio.open(out_file, 'w', **out_profile) as out_im: + out_im.write(out_array) + out_im.write_mask((out_array != pval).all(axis=0)) + return out_file + + def test_init_profiles(pan_file: Path, ms_file: Path): """Basic test of pan / MS reprojection profiles.""" pan_sharp = PanSharpen(pan_file, ms_file) @@ -97,20 +154,22 @@ def _test_pan_sharp_file(out_file: Path, ms_file: Path | rio.DatasetReader): transform=ms_transform, width=ms_im.width, height=ms_im.height, - dtype='float32', - nodata=float('nan'), resampling=Resampling.average, ) # read reprojected output with WarpedVRT(out_im_, **profile) as out_im: - out_array = out_im.read(window=ms_win) + out_array = out_im.read(window=ms_win, masked=True, out_dtype='float32') # read MS window corresponding to output bounds - ms_array = ms_im.read(window=ms_win, out_dtype='float32') + ms_indexes = [ + bi + 1 for bi in range(ms_im.count) if ms_im.colorinterp[bi] != ColorInterp.alpha + ] + ms_array = ms_im.read(ms_indexes, window=ms_win, masked=True, out_dtype='float32') # compare output to MS - abs_err = np.abs(out_array - ms_array) + assert np.all(out_array.mask == ms_array.mask) + abs_err = np.ma.abs(out_array - ms_array) assert abs_err.mean() < 1 assert abs_err.std() < 1 @@ -122,7 +181,9 @@ def _test_pan_sharp_file(out_file: Path, ms_file: Path | rio.DatasetReader): (dict(), dict()), # pan georeferenced ( - dict(crs='EPSG:3857', src_transform=(t := rio.Affine(2, 0, 10, 0, 2, 20)), transform=t), + dict( + crs='EPSG:3857', src_transform=(t := rio.Affine(2, 0, 10, 0, -2, 20)), transform=t + ), dict(), ), # MS georeferenced @@ -149,8 +210,8 @@ def _test_pan_sharp_file(out_file: Path, ms_file: Path | rio.DatasetReader): ], ) def test_georef(pan_file: Path, ms_file: Path, pan_profile: dict, ms_profile: dict, tmp_path: Path): - """Test pan sharpening with different combinations of pan & MS georeferencing and bounds - (where no combinations include nodata areas). + """Test pan sharpening using WarpedVRT to simulate different combinations of pan & MS + georeferencing and bounds (all without masks). """ out_file = tmp_path.joinpath('pan_sharp.tif') with rio.open(pan_file, 'r') as pan_im_, rio.open(ms_file, 'r') as ms_im_: @@ -170,65 +231,26 @@ def test_georef(pan_file: Path, ms_file: Path, pan_profile: dict, ms_profile: di _test_pan_sharp_file(out_file, ms_im) -def test_mask(pan_file: Path, ms_file: Path, tmp_path: Path): - """Test masking in the pan sharpened image with simulated pan & MS that have nodata in the - common bounds area. +@pytest.mark.parametrize('vrt_profile', [None, dict(nodata=0), dict(add_alpha=True)]) +def test_mask(mask_pan_file: Path, mask_ms_file: Path, tmp_path: Path, vrt_profile: dict): + """Test masking in the pan sharpened image with pan & MS images that have internal, + nodata and alpha masks, that mask invalid pixels inside the common bounds. """ - with rio.open(pan_file, 'r') as pan_im_, rio.open(ms_file, 'r') as ms_im_: - # set up pan & MS WarpedVRT profiles that add nodata buffers - pan_src_transform = rio.Affine(2, 0, 1000, 0, 2, 2000) - pan_transform = pan_src_transform * rio.Affine.translation(-100, -100) - pan_profile = dict( - crs='EPSG:3857', - src_transform=pan_src_transform, - transform=pan_transform, - width=pan_im_.width + 200, - height=pan_im_.height + 200, - dtype='float32', - nodata=float('nan'), - ) - scale = np.array(pan_im_.shape) / ms_im_.shape - ms_src_transform = pan_src_transform * rio.Affine.scale(*scale[::-1]) - ms_transform = ms_src_transform * rio.Affine.translation(-25, -25) - ms_profile = dict( - crs='EPSG:3857', - src_transform=ms_src_transform, - transform=ms_transform, - width=ms_im_.width + 50, - height=ms_im_.height + 50, - dtype='float32', - nodata=float('nan'), - ) + with ExitStack() as exit_stack: + pan_im = exit_stack.enter_context(rio.open(mask_pan_file, 'r')) + ms_im = exit_stack.enter_context(rio.open(mask_ms_file, 'r')) - # simulate pan & MS with nodata buffers - with WarpedVRT(pan_im_, **pan_profile) as pan_im, WarpedVRT(ms_im_, **ms_profile) as ms_im: - # pan sharpen - pan_sharp = PanSharpen(pan_im, ms_im) - out_file = tmp_path.joinpath('pan_sharp.tif') - pan_sharp.process(out_file, weights=(1, 1, 1), compress='deflate') - - # read MS data to compare against - ms_mask = ms_im.dataset_mask().astype('bool', copy=False) - ms_array = ms_im.read() + if vrt_profile: + pan_im = exit_stack.enter_context(WarpedVRT(pan_im, **vrt_profile)) + ms_im = exit_stack.enter_context(WarpedVRT(ms_im, **vrt_profile)) - assert out_file.exists() + pan_sharp = PanSharpen(pan_im, ms_im) + out_file = tmp_path.joinpath('pan_sharp.tif') + pan_sharp.process(out_file, weights=(1, 1, 1), compress='deflate') + assert out_file.exists() - # reproject output to MS grid & read - out_profile = dict( - transform=ms_transform, - width=ms_im.width, - height=ms_im.height, - resampling=Resampling.average, - ) - with WarpedVRT(rio.open(out_file, 'r'), **out_profile) as out_im: - out_mask = out_im.dataset_mask().astype('bool', copy=False) - out_array = out_im.read() - - # compare - assert np.all(out_mask == ms_mask) - abs_err = np.abs(out_array[:, out_mask] - ms_array[:, ms_mask]) - assert abs_err.mean() < 1 - assert abs_err.std() < 1 + # reproject output to MS grid and compare + _test_pan_sharp_file(out_file, ms_im) def test_stats(pan_file: Path, ms_file: Path, monkeypatch: pytest.MonkeyPatch): From af31e979677043076816ba334eac2cece71ee5f1 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Thu, 29 Aug 2024 22:08:21 +0200 Subject: [PATCH 63/93] add vertical crs --- tests/data/ngi/dem.tif | Bin 534356 -> 536639 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/tests/data/ngi/dem.tif b/tests/data/ngi/dem.tif index f8a5583d08ee1d39274282d508e09cd937368f0d..422d573f6d81926461697fdb0bffc7ea22103768 100644 GIT binary patch literal 536639 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a/tests/data/rpc/rpc_param.yaml b/tests/data/rpc/rpc_param.yaml index 67cf6ab..8085f42 100644 --- a/tests/data/rpc/rpc_param.yaml +++ b/tests/data/rpc/rpc_param.yaml @@ -1,5 +1,5 @@ qb2_basic1b.tif: - im_size: [990, 1650] + im_size: [850, 1450] rpc: height_off: 703.0 height_scale: 501.0 @@ -13,7 +13,7 @@ qb2_basic1b.tif: 2.219968e-05, 0.0002853862, 0.0004078997, 0.003128045, -3.121024e-06, 9.840226e-07, 0.0, 2.233933e-05, -6.402669e-07, -2.263019e-05, -8.066942e-05, -1.981754e-05, 7.558916e-08, -9.090734e-07, 1.543458e-07] - line_off: 499.9 + line_off: 399.45 line_scale: 1210.0 long_off: 24.4057 long_scale: 0.0995 @@ -25,7 +25,7 @@ qb2_basic1b.tif: 0.0004559596, -0.0003150691, -0.00626621, -0.0005255268, 8.515037e-06, 3.483893e-06, 1.580062e-05, -4.605011e-05, -1.336031e-05, 6.30528e-05, 5.669601e-05, 4.585081e-08, -6.089191e-06, -8.388204e-07, -1.740819e-07] - samp_off: 707.5 + samp_off: 637.05 samp_scale: 1377.6 err_bias: 12.15 err_rand: 0.3 From fdaa54fa0b77d18980675e8615fa8431b083f1b2 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Thu, 29 Aug 2024 22:16:30 +0200 Subject: [PATCH 66/93] fix read_oty_int_param() exception handling --- orthority/param_io.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/orthority/param_io.py b/orthority/param_io.py index 2a88d72..15278d4 100644 --- a/orthority/param_io.py +++ b/orthority/param_io.py @@ -269,7 +269,7 @@ def parse_yaml_param(yaml_param: dict, cam_id: str = None) -> dict[str, Any]: # validate root dict try: common.validate_collection({str: dict}, yaml_dict) - except (TypeError, KeyError, ValueError): + except (TypeError, KeyError, ValueError) as ex: raise ParamError(f"Could not parse '{filename}': {str(ex)}") from ex # parse each set of interior parameters From fe894b118efb88a656ecb1d92a865f70c9440e27 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Thu, 29 Aug 2024 22:26:39 +0200 Subject: [PATCH 67/93] add pan sharp images --- tests/data/pan_sharp/ms.tif | 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tests/data/rpc/gcps.geojson | 105 ++++++++++++++++++++++++++++++++++++ 1 file changed, 105 insertions(+) create mode 100644 tests/data/rpc/gcps.geojson diff --git a/tests/data/rpc/gcps.geojson b/tests/data/rpc/gcps.geojson new file mode 100644 index 0000000..98cdc15 --- /dev/null +++ b/tests/data/rpc/gcps.geojson @@ -0,0 +1,105 @@ +{ + "type": "FeatureCollection", + "features": [ + { + "type": "Feature", + "properties": { + "ji": [ + 821.3001696660183, + 62.303697728645055 + ], + "filename": "qb2_basic1b.tif", + "id": "concrete-plinth-70", + "info": "concrete-plinth-70" + }, + "geometry": { + "type": "Point", + "coordinates": [ + 24.41948061951812, + -33.65426900104435, + 214.75143153141929 + ] + } + }, + { + "type": "Feature", + "properties": { + "ji": [ + 1131.8539330138824, + -36.369967092201115 + ], + "filename": "qb2_basic1b.tif", + "id": "house-swcnr-90b", + "info": "house-swcnr-90b" + }, + "geometry": { + "type": "Point", + "coordinates": [ + 24.441599511548393, + -33.64904378292523, + 208.7682055586755 + ] + } + }, + { + "type": "Feature", + "properties": { + "ji": [ + 584.4155993184074, + 83.88094549123198 + ], + "filename": "qb2_basic1b.tif", + "id": "smitskraal-rock-60", + "info": "smitskraal-rock-60" + }, + "geometry": { + "type": "Point", + "coordinates": [ + 24.40250956368057, + -33.65506020635177, + 261.4592308320109 + ] + } + }, + { + "type": "Feature", + "properties": { + "ji": [ + 90.19626682470553, + 221.42640030123295 + ], + "filename": "qb2_basic1b.tif", + "id": "smitskraal-bridge-90", + "info": "smitskraal-bridge-90" + }, + "geometry": { + "type": "Point", + "coordinates": [ + 24.36760811243019, + -33.662347760346826, + 199.62875955623542 + ] + } + }, + { + "type": "Feature", + "properties": { + "ji": [ + -185.1812520714011, + 11.373365427739918 + ], + "filename": "qb2_basic1b.tif", + "id": "grasnek-roadjunction1-50", + "info": "grasnek-roadjunction1-50" + }, + "geometry": { + "type": "Point", + "coordinates": [ + 24.34748084135443, + -33.64923813027391, + 463.683506033488 + ] + } + } + ] +} \ No newline at end of file From c667f47f9df0d2bcecc7870d7cf81cea01d60e14 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Thu, 29 Aug 2024 22:32:14 +0200 Subject: [PATCH 69/93] fix typing annotations --- tests/test_fit.py | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) diff --git a/tests/test_fit.py b/tests/test_fit.py index 955dd55..b794129 100644 --- a/tests/test_fit.py +++ b/tests/test_fit.py @@ -1,3 +1,20 @@ +# Copyright The Orthority Contributors. +# +# This file is part of Orthority. +# +# Orthority is free software: you can redistribute it and/or modify it under the terms of the GNU +# Affero General Public License as published by the Free Software Foundation, either version 3 of +# the License, or (at your option) any later version. +# +# Orthority is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without +# even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Affero General Public License for more details. +# +# You should have received a copy of the GNU Affero General Public License along with Orthority. +# If not, see . + +from __future__ import annotations + import numpy as np import pytest from rasterio.rpc import RPC From fc81a43157035c96d0a43543a5ab724e9fe6c56b Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Thu, 29 Aug 2024 22:42:24 +0200 Subject: [PATCH 70/93] fix & simplify test_process_ms_indexes() --- tests/test_pan_sharp.py | 20 +++++--------------- 1 file changed, 5 insertions(+), 15 deletions(-) diff --git a/tests/test_pan_sharp.py b/tests/test_pan_sharp.py index 34fd094..826163a 100644 --- a/tests/test_pan_sharp.py +++ b/tests/test_pan_sharp.py @@ -128,7 +128,9 @@ def test_init_bounds_error(odm_dem_file: Path, ngi_dem_file: Path): assert 'bounds' in str(ex.value) -def _test_pan_sharp_file(out_file: Path, ms_file: Path | rio.DatasetReader): +def _test_pan_sharp_file( + out_file: Path, ms_file: Path | rio.DatasetReader, ms_indexes: tuple = None +): """Test the pan sharpened ``out_file`` by reprojecting it to the grid of the given multispectral ``ms_file`` and comparing. """ @@ -162,7 +164,7 @@ def _test_pan_sharp_file(out_file: Path, ms_file: Path | rio.DatasetReader): out_array = out_im.read(window=ms_win, masked=True, out_dtype='float32') # read MS window corresponding to output bounds - ms_indexes = [ + ms_indexes = ms_indexes or [ bi + 1 for bi in range(ms_im.count) if ms_im.colorinterp[bi] != ColorInterp.alpha ] ms_array = ms_im.read(ms_indexes, window=ms_win, masked=True, out_dtype='float32') @@ -413,19 +415,7 @@ def test_process_ms_indexes( pan_sharp.process(out_file, ms_indexes=ms_indexes, weights=weights, compress='deflate') assert out_file.exists() - # reproject output to MS grid for comparison - with WarpedVRT( - rio.open(out_file, 'r'), **pan_sharp._profiles['pan_to_ms'], resampling=Resampling.average - ) as out_im, rio.open(ms_file, 'r') as ms_im: - assert out_im.count == len(ms_indexes) - out_array = out_im.read() - # read MS in same order as output - ms_array = ms_im.read(indexes=ms_indexes) - - # compare - abs_err = np.abs(out_array - ms_array) - assert abs_err.mean() < 1 - assert abs_err.std() < 1 + _test_pan_sharp_file(out_file, ms_file, ms_indexes=ms_indexes) def test_process_ms_indexes_error(pan_sharpen: PanSharpen, tmp_path: Path): From d605743e263416cfd374dab445a333a54d4e0390 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Thu, 29 Aug 2024 23:10:20 +0200 Subject: [PATCH 71/93] remove repeated band --- tests/test_pan_sharp.py | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/tests/test_pan_sharp.py b/tests/test_pan_sharp.py index 826163a..d13fd3d 100644 --- a/tests/test_pan_sharp.py +++ b/tests/test_pan_sharp.py @@ -172,8 +172,8 @@ def _test_pan_sharp_file( # compare output to MS assert np.all(out_array.mask == ms_array.mask) abs_err = np.ma.abs(out_array - ms_array) - assert abs_err.mean() < 1 - assert abs_err.std() < 1 + assert np.ma.all(abs_err.mean(axis=(1, 2)) < 1) + assert np.ma.all(abs_err.std(axis=(1, 2)) < 1) @pytest.mark.parametrize( @@ -399,9 +399,7 @@ def test_process_pan_index_error(pan_sharpen: PanSharpen, tmp_path: Path): assert 'Pan index' in str(ex) -@pytest.mark.parametrize( - 'ms_indexes, weights', [((1, 2, 3), (1, 1, 1)), ((3, 2, 1, 1), (1, 1, 0.5, 0.5))] -) +@pytest.mark.parametrize('ms_indexes, weights', [((1, 2, 3), (1, 1, 1)), ((3, 2, 1), (1, 1, 1))]) def test_process_ms_indexes( pan_file: Path, ms_file: Path, tmp_path: Path, ms_indexes: tuple, weights: tuple ): From 4fce7e0188ab9dec5142e4cca5a75e2d07056be4 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Fri, 30 Aug 2024 10:18:43 +0200 Subject: [PATCH 72/93] py 3.8 compatibility: - np.concat() -> np.concatenate() - remove cancel_futures=True from thread pool shutdowns --- orthority/ortho.py | 2 +- orthority/pan_sharp.py | 8 +++++--- orthority/param_io.py | 12 ++++++------ tests/test_pan_sharp.py | 2 +- 4 files changed, 13 insertions(+), 11 deletions(-) diff --git a/orthority/ortho.py b/orthority/ortho.py index aced22f..b6e6c1d 100644 --- a/orthority/ortho.py +++ b/orthority/ortho.py @@ -470,7 +470,7 @@ def _remap( try: future.result() except Exception as ex: - executor.shutdown(wait=False, cancel_futures=True) + executor.shutdown(wait=False) raise RuntimeError('Could not remap tile.') from ex progress.update() progress.refresh() diff --git a/orthority/pan_sharp.py b/orthority/pan_sharp.py index 9bfec45..2e98056 100644 --- a/orthority/pan_sharp.py +++ b/orthority/pan_sharp.py @@ -267,7 +267,7 @@ def get_tile_stats( pan_mask = np.logical_not(common.nan_equals(pan_array, pan_im.nodata)) ms_mask = np.logical_not(common.nan_equals(ms_array, ms_im.nodata)).all(axis=0) mask = pan_mask & ms_mask - pan_ms_array = np.concat( + pan_ms_array = np.concatenate( (pan_array[mask].reshape(1, -1), ms_array[:, mask].reshape(len(indexes), -1)), axis=0, ) @@ -302,7 +302,7 @@ def get_tile_stats( try: tile_n, tile_mean, tile_prod = future.result() except Exception as ex: - executor.shutdown(wait=False, cancel_futures=True) + executor.shutdown(wait=False) raise RuntimeError('Could not get tile statistics.') from ex if tile_n > 0: @@ -652,7 +652,9 @@ def process( try: future.result() except Exception as ex: - executor.shutdown(wait=False, cancel_futures=True) + # TODO: add cancel_futures=True to all thread pool shutdowns when supported py + # versions are > 3.8 + executor.shutdown(wait=False) raise RuntimeError('Could not process tile.') from ex pbar.update() pbar.refresh() diff --git a/orthority/param_io.py b/orthority/param_io.py index 15278d4..c46ae02 100644 --- a/orthority/param_io.py +++ b/orthority/param_io.py @@ -379,11 +379,11 @@ def _read_im_rpc_param( try: rpc_param_dict.update(**future.result()) except (FileNotFoundError, ParamError): - executor.shutdown(wait=False, cancel_futures=True) + executor.shutdown(wait=False) raise except Exception as ex: filename = common.get_filename(file) - executor.shutdown(wait=False, cancel_futures=True) + executor.shutdown(wait=False) raise RuntimeError(f"Could not read RPC tags from '{filename}'.") from ex return rpc_param_dict @@ -502,11 +502,11 @@ def _read_im_gcps( try: gcp_dict.update(**future.result()) except (FileNotFoundError, ParamError): - executor.shutdown(wait=False, cancel_futures=True) + executor.shutdown(wait=False) raise except Exception as ex: filename = common.get_filename(file) - executor.shutdown(wait=False, cancel_futures=True) + executor.shutdown(wait=False) raise RuntimeError(f"Could not read GCPs from '{filename}'.") from ex return gcp_dict @@ -1296,11 +1296,11 @@ def _read_exif( try: exif_obj = future.result() except FileNotFoundError: - executor.shutdown(wait=False, cancel_futures=True) + executor.shutdown(wait=False) raise except Exception as ex: filename = common.get_filename(file) - executor.shutdown(wait=False, cancel_futures=True) + executor.shutdown(wait=False) raise RuntimeError(f"Could not read EXIF tags from '{filename}'.") from ex exif_dict[exif_obj.filename] = exif_obj diff --git a/tests/test_pan_sharp.py b/tests/test_pan_sharp.py index d13fd3d..7b93c70 100644 --- a/tests/test_pan_sharp.py +++ b/tests/test_pan_sharp.py @@ -266,7 +266,7 @@ def test_stats(pan_file: Path, ms_file: Path, monkeypatch: pytest.MonkeyPatch): pan_im_, **pan_sharp._profiles['pan_to_ms'], resampling=Resampling.average ) as pan_im: pan_array = pan_im.read() - pan_ms_array = np.concat( + pan_ms_array = np.concatenate( (pan_array.reshape(1, -1), ms_array.reshape(ms_array.shape[0], -1)), axis=0 ) ref_means = pan_ms_array.mean(axis=1) From 69836123ba28ea102b27d7d5822a9b285870df01 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Mon, 2 Sep 2024 23:13:49 +0200 Subject: [PATCH 73/93] gcp refinement fixes / updates: - change ref_kwargs -> fit_kwargs - fix interpretation of str gcps - update file format links --- orthority/factory.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/orthority/factory.py b/orthority/factory.py index 5c67dad..d12248e 100644 --- a/orthority/factory.py +++ b/orthority/factory.py @@ -316,7 +316,7 @@ def refine( | dict[str, list[dict]] ), io_kwargs: dict = None, - ref_kwargs: dict = None, + fit_kwargs: dict = None, ): """ Refine RPC models with GCPs. @@ -324,10 +324,10 @@ def refine( :param gcps: GCPs as one of: - - :doc:`Orthority GCP file <../file_formats/oty_gcp>` as a path or URI string, + - :doc:`Orthority GCP file <../file_formats/oty_gcps>` as a path or URI string, an :class:`~fsspec.core.OpenFile` object or a file object, opened in text mode (``'rt'``). - - :doc:`Image file(s) with GCP tags <../file_formats/im_gcp>` as a list of paths or + - :doc:`Image file(s) with GCP tags <../file_formats/image_gcps>` as a list of paths or URI strings, :class:`~fsspec.core.OpenFile` objects in binary mode (``'rb'``), or dataset readers. - GCP dictionary. @@ -335,13 +335,13 @@ def refine( Optional dictionary of keyword arguments for :class:`~orthority.param_io.read_im_gcps` if ``gcps`` is a list of image file(s). Should exclude ``files`` which is passed internally. - :param ref_kwargs: + :param fit_kwargs: Optional dictionary of keyword arguments for :meth:`~orthority.fit.refine_rpc`. Should exclude ``rpc`` and ``gcps``, which are passed internally. """ if gcps and not isinstance(gcps, dict): # read GCPs - if isinstance(gcps, Sequence): + if isinstance(gcps, (list, tuple)): self._gcp_dict = param_io.read_im_gcps(gcps, **(io_kwargs or {})) else: self._gcp_dict = param_io.read_oty_gcps(gcps) @@ -355,7 +355,7 @@ def refine( if gcps: self._cameras.pop(filename.name, None) # force camera recreation - rpc_param['rpc'] = refine_rpc(rpc_param['rpc'], gcps, **(ref_kwargs or {})) + rpc_param['rpc'] = refine_rpc(rpc_param['rpc'], gcps, **(fit_kwargs or {})) else: warnings.warn( f"Could not find any GCPs for '{filename}'.", category=OrthorityWarning From d5ef7ddf224c8e0c11de99d5de9a14c4a6358aad Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Mon, 2 Sep 2024 23:15:25 +0200 Subject: [PATCH 74/93] add RpcRefine --- orthority/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/orthority/__init__.py b/orthority/__init__.py index 91d6ec1..ffa990e 100644 --- a/orthority/__init__.py +++ b/orthority/__init__.py @@ -25,7 +25,7 @@ import logging import pathlib -from orthority.enums import Compress, Interp +from orthority.enums import Compress, Interp, RpcRefine from orthority.factory import FrameCameras, RpcCameras from orthority.ortho import Ortho from orthority.pan_sharp import PanSharpen From 064751b67a8f3991685092b9e3624085aad1c210 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Mon, 2 Sep 2024 23:16:54 +0200 Subject: [PATCH 75/93] change ref_kwargs -> fit_kwargs in RpcCameras.refine() --- tests/test_factory.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/tests/test_factory.py b/tests/test_factory.py index f8f77b0..952286d 100644 --- a/tests/test_factory.py +++ b/tests/test_factory.py @@ -324,13 +324,13 @@ def test_rpc_cameras_refine_io_kwargs( def test_rpc_cameras_refine_ref_kwargs(rpc_param_file: Path, rpc_image_file: Path): - """Test refining a RPC camera factory passes through ``ref_kwargs`` to ``fit.refine_rpc()``.""" + """Test refining a RPC camera factory passes through ``fit_kwargs`` to ``fit.refine_rpc()``.""" cameras = RpcCameras(rpc_param_file) - cameras.refine([rpc_image_file], ref_kwargs=dict(method=RpcRefine.shift)) + cameras.refine([rpc_image_file], fit_kwargs=dict(method=RpcRefine.shift)) shift_rpc_param = copy.deepcopy(cameras._rpc_param_dict[rpc_image_file.name]['rpc']) cameras = RpcCameras(rpc_param_file) - cameras.refine([rpc_image_file], ref_kwargs=dict(method=RpcRefine.shift_drift)) + cameras.refine([rpc_image_file], fit_kwargs=dict(method=RpcRefine.shift_drift)) shift_drift_rpc_param = cameras._rpc_param_dict[rpc_image_file.name]['rpc'] assert shift_drift_rpc_param != shift_rpc_param From 7f0c34afece930fcb7b6173f9d8ac4763032a993 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 4 Sep 2024 12:31:38 +0200 Subject: [PATCH 76/93] add GCP file formats --- docs/file_formats/image_gcps.rst | 6 ++++ docs/file_formats/index.rst | 4 ++- docs/file_formats/oty_gcps.rst | 49 ++++++++++++++++++++++++++++++++ 3 files changed, 58 insertions(+), 1 deletion(-) create mode 100644 docs/file_formats/image_gcps.rst create mode 100644 docs/file_formats/oty_gcps.rst diff --git a/docs/file_formats/image_gcps.rst b/docs/file_formats/image_gcps.rst new file mode 100644 index 0000000..e7da082 --- /dev/null +++ b/docs/file_formats/image_gcps.rst @@ -0,0 +1,6 @@ +.. include:: ../shared.txt + +Image GCP tags +============== + +GCPs can read from image tags. This capability is provided by the Rasterio_ / GDAL_ package. GCP pixel coordinates should use the :ref:`Orthority convention `. diff --git a/docs/file_formats/index.rst b/docs/file_formats/index.rst index 79de90a..fc2576d 100644 --- a/docs/file_formats/index.rst +++ b/docs/file_formats/index.rst @@ -1,7 +1,7 @@ File formats ============ -Camera model file formats supported by Orthority: +Camera model and related file formats supported by Orthority: .. toctree:: :maxdepth: 1 @@ -14,6 +14,8 @@ Camera model file formats supported by Orthority: image_rpc oty_rpc legacy + image_gcps + oty_gcps .. note:: diff --git a/docs/file_formats/oty_gcps.rst b/docs/file_formats/oty_gcps.rst new file mode 100644 index 0000000..e070711 --- /dev/null +++ b/docs/file_formats/oty_gcps.rst @@ -0,0 +1,49 @@ +Orthority GCPs +============== + +The native Orthority GCP format is a standard GeoJSON ``FeatureCollection`` of ``Point`` features, that can be visualised in a GIS. Each ``Feature`` is a GCP, where the geometry is its position in `3D WGS84 geographic coordinates `__. ``Feature`` properties are as follows: + +.. list-table:: + :widths: auto + :header-rows: 1 + + * - Property + - Value + * - ``filename`` + - Image file name excluding parent path, with or without extension. + * - ``ji`` + - Image ``[j, i]`` position in :ref:`pixel coordinates `. + * - ``id`` + - ID string (optional). + * - ``info`` + - Information string (optional). + +An example file defining a single GCP: + +.. code-block:: json + + { + "type": "FeatureCollection", + "features": [ + { + "type": "Feature", + "properties": { + "filename": "qb2_basic1b.tif", + "ji": [ + 821.3001696660183, + 62.303697728645055 + ], + "id": "concrete-plinth-70", + "info": "concrete-plinth-70" + }, + "geometry": { + "type": "Point", + "coordinates": [ + 24.41948061951812, + -33.65426900104435, + 214.75143153141929 + ] + } + } + ] + } From 6215e5cbf8b9a952ed50d31f9cc10f3779599040 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 4 Sep 2024 12:34:05 +0200 Subject: [PATCH 77/93] add pan sharpening API docs --- docs/api/pan_sharp.rst | 6 ++++++ docs/getting_started/api/index.rst | 3 +++ docs/getting_started/api/pan_sharp.rst | 11 +++++++++++ docs/scripts/api_pan_sharp.py | 14 ++++++++++++++ 4 files changed, 34 insertions(+) create mode 100644 docs/api/pan_sharp.rst create mode 100644 docs/getting_started/api/pan_sharp.rst create mode 100644 docs/scripts/api_pan_sharp.py diff --git a/docs/api/pan_sharp.rst b/docs/api/pan_sharp.rst new file mode 100644 index 0000000..fe5d671 --- /dev/null +++ b/docs/api/pan_sharp.rst @@ -0,0 +1,6 @@ +Pan sharpening +=============== + +.. automodule:: orthority.pan_sharp + :members: + :show-inheritance: diff --git a/docs/getting_started/api/index.rst b/docs/getting_started/api/index.rst index 4c88ff7..e1061f3 100644 --- a/docs/getting_started/api/index.rst +++ b/docs/getting_started/api/index.rst @@ -15,6 +15,8 @@ Or, with conda_: conda install -c conda-forge requests aiohttp + + .. note:: If you're using the Orthority and Rasterio_ packages together, Orthority should be imported first to configure the PROJ setting for :doc:`vertical CRS transformations <../../background/vertical_crs>`. @@ -24,3 +26,4 @@ Or, with conda_: camera ortho + pan_sharp diff --git a/docs/getting_started/api/pan_sharp.rst b/docs/getting_started/api/pan_sharp.rst new file mode 100644 index 0000000..2765bb0 --- /dev/null +++ b/docs/getting_started/api/pan_sharp.rst @@ -0,0 +1,11 @@ +Pan sharpening +============== + +The :class:`~orthority.pan_sharp.PanSharpen` class implements Gram-Schmidt pan sharpening. Panchromatic and multispectral images are required to instantiate. The :meth:`~orthority.pan_sharp.PanSharpen.process` method pan sharpens: + +.. literalinclude:: ../../scripts/api_pan_sharp.py + :language: python + :start-after: [pan_sharpen] + :end-before: [end pan_sharpen] + +See the :meth:`~orthority.pan_sharp.PanSharpen.process` documentation for details on other configuration options. diff --git a/docs/scripts/api_pan_sharp.py b/docs/scripts/api_pan_sharp.py new file mode 100644 index 0000000..12dd881 --- /dev/null +++ b/docs/scripts/api_pan_sharp.py @@ -0,0 +1,14 @@ +# TODO: change URL to main branch +# code for getting started->api->pan sharpening +# [pan_sharpen] +import orthority as oty + +# URLs of required files +url_root = 'https://raw.githubusercontent.com/leftfield-geospatial/orthority/feature_refine_gcp/tests/data/' +pan_file = url_root + 'pan_sharp/pan.tif' # panchromatic drone image +ms_file = url_root + 'pan_sharp/ms.tif' # multispectral (RGB) drone image + +# create PanSharpen object and pan sharpen +pan_sharp = oty.PanSharpen(pan_file, ms_file) +pan_sharp.process('pan_sharp.tif') +# [end pan_sharpen] From 4fca65521f3d4c512d66ba1968b9466f3cf11828 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 4 Sep 2024 12:34:59 +0200 Subject: [PATCH 78/93] use lists for image files --- docs/scripts/api_frame.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/scripts/api_frame.py b/docs/scripts/api_frame.py index 415cd31..143a797 100644 --- a/docs/scripts/api_frame.py +++ b/docs/scripts/api_frame.py @@ -17,19 +17,19 @@ # [create exif] src_file = url_root + 'odm/images/100_0005_0140.tif' # drone image with EXIF / XMP tags -cameras = oty.FrameCameras.from_images((src_file,)) +cameras = oty.FrameCameras.from_images([src_file]) camera = cameras.get(src_file) # [end create exif] # [crs] -cameras = oty.FrameCameras.from_images((src_file,)) +cameras = oty.FrameCameras.from_images([src_file]) print(cameras.crs) # EPSG:32651 # [end crs] # [io_kwargs] io_kwargs = dict(crs='EPSG:32751') -cameras = oty.FrameCameras.from_images((src_file,), io_kwargs=io_kwargs) +cameras = oty.FrameCameras.from_images([src_file], io_kwargs=io_kwargs) print(cameras.crs) # EPSG:32751 @@ -37,7 +37,7 @@ # [cam_kwargs] cam_kwargs = dict(distort=False, alpha=0.0) -cameras = oty.FrameCameras.from_images((src_file,), cam_kwargs=cam_kwargs) +cameras = oty.FrameCameras.from_images([src_file], cam_kwargs=cam_kwargs) camera = cameras.get(src_file) print(camera.distort) @@ -47,6 +47,6 @@ # [end cam_kwargs] # [export] -cameras = oty.FrameCameras.from_images((src_file,)) +cameras = oty.FrameCameras.from_images([src_file]) cameras.write_param('.') # [end export] From eceeffbe2c8d0683afd30505572372e937133e47 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 4 Sep 2024 12:37:32 +0200 Subject: [PATCH 79/93] add RPC refinement docs --- docs/api/camera.rst | 2 +- docs/api/fit.rst | 6 ++++ docs/getting_started/api/camera.rst | 45 ++++++++++++++++++++++++++--- docs/getting_started/api/ortho.rst | 2 +- docs/scripts/api_rpc.py | 41 ++++++++++++++++++++++---- orthority/factory.py | 4 +-- orthority/fit.py | 8 ++--- 7 files changed, 91 insertions(+), 17 deletions(-) create mode 100644 docs/api/fit.rst diff --git a/docs/api/camera.rst b/docs/api/camera.rst index 9a60ae3..424fcf7 100644 --- a/docs/api/camera.rst +++ b/docs/api/camera.rst @@ -1,4 +1,4 @@ -Camera Models +Camera models ============= .. automodule:: orthority.camera diff --git a/docs/api/fit.rst b/docs/api/fit.rst new file mode 100644 index 0000000..b512c27 --- /dev/null +++ b/docs/api/fit.rst @@ -0,0 +1,6 @@ +Camera model fitting +==================== + +.. automodule:: orthority.fit + :members: + :show-inheritance: diff --git a/docs/getting_started/api/camera.rst b/docs/getting_started/api/camera.rst index 7a869cc..9ab46a0 100644 --- a/docs/getting_started/api/camera.rst +++ b/docs/getting_started/api/camera.rst @@ -70,7 +70,7 @@ The ``cam_kwargs`` argument can be used in :class:`~orthority.factory.FrameCamer Model export ~~~~~~~~~~~~ -Camera model parameters can be exported to Orthority format :doc:`interior <../../file_formats/oty_int>` and :doc:`exterior <../../file_formats/oty_ext>` parameter files with :meth:`~orthority.factory.RpcCameras.write_param`: +Camera model parameters can be exported to Orthority format :doc:`interior <../../file_formats/oty_int>` and :doc:`exterior <../../file_formats/oty_ext>` parameter files with :meth:`~orthority.factory.FrameCameras.write_param`: .. literalinclude:: ../../scripts/api_frame.py :language: python @@ -100,7 +100,7 @@ Camera models can also be created from :doc:`image RPC tags / sidecar files <../ Parameter IO ~~~~~~~~~~~~ -The ``io_kwargs`` argument can be used in :meth:`~orthority.factory.RpcCameras.from_images` to pass keyword arguments to :meth:`~orthority.param_io.read_im_rpc_param`. +Internally, the :func:`~orthority.param_io.read_im_rpc_param` function is used to read image RPC tags / sidecar files. The ``io_kwargs`` argument can be used in :meth:`~orthority.factory.RpcCameras.from_images` to pass keyword arguments to :func:`~orthority.param_io.read_im_rpc_param`. E.g. to display a progress bar while reading image RPC tags / sidecar files: @@ -112,20 +112,57 @@ E.g. to display a progress bar while reading image RPC tags / sidecar files: Camera options ~~~~~~~~~~~~~~ -The ``cam_kwargs`` argument can be used in :class:`~orthority.factory.RpcCameras` or :meth:`~orthority.factory.RpcCameras.from_images` to pass keyword arguments to :class:`~orthority.camera.RpcCamera`. E.g. to pass the world / ortho ``crs`` argument: +The ``cam_kwargs`` argument can be used in :class:`~orthority.factory.RpcCameras` or :meth:`~orthority.factory.RpcCameras.from_images` to pass keyword arguments to :class:`~orthority.camera.RpcCamera`. E.g. to specify a world / ortho ``crs``: .. literalinclude:: ../../scripts/api_rpc.py :language: python :start-after: [cam_kwargs] :end-before: [end cam_kwargs] +Model refinement +~~~~~~~~~~~~~~~~ + +RPC models can be refined with GCPs using the :meth:`~orthority.factory.RpcCameras.refine` method. GCPs can be read from an :doc:`Orthority GCPs file <../../file_formats/oty_gcps>`: + +.. literalinclude:: ../../scripts/api_rpc.py + :language: python + :start-after: [refine] + :end-before: [end refine] + +Or GCPs can be read from :doc:`image tags <../../file_formats/image_gcps>`: + +.. literalinclude:: ../../scripts/api_rpc.py + :language: python + :start-after: [refine tag] + :end-before: [end refine tag] + +The :func:`~orthority.param_io.read_im_gcps` function is used internally to read GCPs from image tags. ``io_kwargs`` can be used in :meth:`~orthority.factory.RpcCameras.refine` to pass keyword arguments to :func:`~orthority.param_io.read_im_gcps` when GCPs are supplied in image tags: + +.. literalinclude:: ../../scripts/api_rpc.py + :language: python + :start-after: [refine io_kwargs] + :end-before: [end refine io_kwargs] + +The :func:`~orthority.fit.refine_rpc` function is used internally to perform RPC refinement. ``fit_kwargs`` can be used in :meth:`~orthority.factory.RpcCameras.refine` to pass keyword arguments to :func:`~orthority.fit.refine_rpc`: + +.. literalinclude:: ../../scripts/api_rpc.py + :language: python + :start-after: [refine fit_kwargs] + :end-before: [end refine fit_kwargs] + Model export ~~~~~~~~~~~~ -Camera model parameters can be exported to a :doc:`Orthority RPC parameter file <../../file_formats/oty_rpc>` with :meth:`~orthority.factory.RpcCameras.write_param`: +Camera model parameters can be exported to an :doc:`Orthority RPC parameter file <../../file_formats/oty_rpc>` with :meth:`~orthority.factory.RpcCameras.write_param`: .. literalinclude:: ../../scripts/api_rpc.py :language: python :start-after: [export] :end-before: [end export] +When the models have been refined, :meth:`~orthority.factory.RpcCameras.write_param` exports the refined models together with the GCPs used to refine them. GCPs are written to an :doc:`Orthority GCPs file <../../file_formats/oty_gcps>`: + +.. literalinclude:: ../../scripts/api_rpc.py + :language: python + :start-after: [export gcps] + :end-before: [end export gcps] diff --git a/docs/getting_started/api/ortho.rst b/docs/getting_started/api/ortho.rst index baf1c76..aebdd82 100644 --- a/docs/getting_started/api/ortho.rst +++ b/docs/getting_started/api/ortho.rst @@ -1,7 +1,7 @@ Orthorectification ================== -Orthorectification is performed by the :class:`~orthority.ortho.Ortho` class, which requires a source image, DEM, camera model and world / ortho CRS to instantiate: +Orthorectification is performed by the :class:`~orthority.ortho.Ortho` class, which requires a source image, DEM, :doc:`camera model ` and world / ortho CRS to instantiate. The :meth:`~orthority.ortho.Ortho.process` method orthorectifies: .. literalinclude:: ../../scripts/api_ortho.py :language: python diff --git a/docs/scripts/api_rpc.py b/docs/scripts/api_rpc.py index 2eb91fc..631d504 100644 --- a/docs/scripts/api_rpc.py +++ b/docs/scripts/api_rpc.py @@ -4,7 +4,7 @@ import orthority as oty # URLs of required files -url_root = 'https://raw.githubusercontent.com/leftfield-geospatial/orthority/main/tests/data/' +url_root = 'https://raw.githubusercontent.com/leftfield-geospatial/orthority/feature_refine_gcp/tests/data/' src_file = url_root + 'rpc/qb2_basic1b.tif' # satellite image with RPC tags rpc_param_file = url_root + 'rpc/rpc_param.yaml' # Orthority format RPC parameters @@ -14,25 +14,56 @@ # [end create camera] # [create tag] -cameras = oty.RpcCameras.from_images((src_file,)) +cameras = oty.RpcCameras.from_images([src_file]) camera = cameras.get(src_file) # [end create tag] # [io_kwargs] io_kwargs = dict(progress=True) -cameras = oty.RpcCameras.from_images((src_file,), io_kwargs=io_kwargs) +cameras = oty.RpcCameras.from_images([src_file], io_kwargs=io_kwargs) # [end io_kwargs] # [cam_kwargs] cam_kwargs = dict(crs='EPSG:32735') -cameras = oty.RpcCameras.from_images((src_file,), cam_kwargs=cam_kwargs) +cameras = oty.RpcCameras.from_images([src_file], cam_kwargs=cam_kwargs) camera = cameras.get(src_file) print(camera.crs) # EPSG:32735 # [end cam_kwargs] +# [refine] +gcps_file = url_root + 'rpc/gcps.geojson' # Orthority format GCPs +cameras = oty.RpcCameras.from_images([src_file]) +cameras.refine(gcps_file) +camera = cameras.get(src_file) # refined camera model +# [end refine] + +# [refine tag] +cameras = oty.RpcCameras.from_images([src_file]) +cameras.refine([src_file]) +camera = cameras.get(src_file) # refined camera model +# [end refine tag] + +# [refine io_kwargs] +io_kwargs = dict(progress=True) # show a progress bar +cameras = oty.RpcCameras.from_images([src_file]) +cameras.refine([src_file], io_kwargs=io_kwargs) +# [end refine io_kwargs] + +# [refine fit_kwargs] +fit_kwargs = dict(method=oty.RpcRefine.shift) # use 'shift' refinement method +cameras = oty.RpcCameras.from_images([src_file]) +cameras.refine([src_file], fit_kwargs=fit_kwargs) +# [end refine fit_kwargs] + # [export] -cameras = oty.RpcCameras.from_images((src_file,)) +cameras = oty.RpcCameras.from_images([src_file]) cameras.write_param('.') # [end export] + +# [export gcps] +cameras = oty.RpcCameras.from_images([src_file]) +cameras.refine([src_file]) +cameras.write_param('.') +# [end export gcps] diff --git a/orthority/factory.py b/orthority/factory.py index d12248e..fdb96b2 100644 --- a/orthority/factory.py +++ b/orthority/factory.py @@ -379,8 +379,8 @@ def write_param(self, out_dir: str | PathLike | OpenFile, overwrite: bool = Fals """ Write camera parameters to Orthority format file(s). - If RPC models have been refined with GCPs, the refined models are written, as well as the - GCPs, in a separate file. + When the models have been refined, the refined models are written, together with the GCPs + used to refine them. :param out_dir: Directory to write into. Can be a path, URI string, or an diff --git a/orthority/fit.py b/orthority/fit.py index 0ecee40..d6e0cb3 100644 --- a/orthority/fit.py +++ b/orthority/fit.py @@ -36,10 +36,10 @@ def refine_rpc( """ Refine an RPC model with GCPs. - Finds the least squares solution to the "shift" and "shift-and-drift" bias compensation - refinements described in https://doi.org/10.1016/j.isprsjprs.2005.11.001, for a single image, - and incorporate this into the provided RPC model. The approach is suited to narrow field - of view satellite imagery. + Finds the least squares solution to the 'shift' or 'shift-and-drift' bias compensation + refinements described in https://doi.org/10.1016/j.isprsjprs.2005.11.001 for a single image. + Refinements are incorporated into the provided RPC model. The approach is suited to narrow + field of view satellite imagery. :param rpc: RPC parameters as a :class:`~rasterio.rpc.RPC` object or dictionary. From a37304d05e77c01cc293950a6af8b73e1313938b Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 4 Sep 2024 12:38:03 +0200 Subject: [PATCH 80/93] suppress rasterio NotGeoreferencedWarning --- orthority/pan_sharp.py | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/orthority/pan_sharp.py b/orthority/pan_sharp.py index 2e98056..abf19f9 100644 --- a/orthority/pan_sharp.py +++ b/orthority/pan_sharp.py @@ -85,6 +85,8 @@ def _get_vrt_profiles(pan_file, ms_file) -> dict[str, dict]: pan and MS grids are cropped versions of the source grids that define shared bounds. """ with ExitStack() as exit_stack: + exit_stack.enter_context(common.suppress_no_georef()) + # open files pan_ds = exit_stack.enter_context(common.OpenRaster(pan_file)) ms_ds = exit_stack.enter_context(common.OpenRaster(ms_file)) @@ -215,6 +217,7 @@ def _validate_pan_ms_params( bi + 1 for bi in range(ms_im.count) if ms_im.colorinterp[bi] != ColorInterp.alpha ] + # test ms_indexes (allows user ms_indexes that are duplicates and or alpha bands) ms_indexes_ = np.array(ms_indexes) if np.any(ms_indexes_ <= 0) or np.any(ms_indexes_ > ms_im.count): ms_name = common.get_filename(ms_im) @@ -538,10 +541,10 @@ def process( The pan-sharpened image is created on the panchromatic pixel grid. Pan-sharpened image bounds are the intersection of the panchromatic and multispectral image bounds. - Pan-sharpening consists of two steps, both of which operate tile-by-tile:: + Pan-sharpening consists of two steps, both of which operate tile-by-tile: - # Derive the Gram-Schmidt parameters from image statistics. - # Generate the pan-sharpened image. + 1. Derive the Gram-Schmidt parameters from image statistics. + 2. Generate the pan-sharpened image. :param out_file: Pan-sharpened image file to create. Can be a path or URI string, or an @@ -591,6 +594,8 @@ def process( exit_stack = ExitStack() interp = Interp(interp).to_rio() with exit_stack: + exit_stack.enter_context(common.suppress_no_georef()) + # open pan & MS images exit_stack.enter_context(rio.Env(GDAL_NUM_THREADS='ALL_CPUS', GTIFF_FORCE_RGBA=False)) pan_im = exit_stack.enter_context(common.OpenRaster(self._pan_file, 'r')) From 5955585177f1e539bd5cd79a3388e8b519724e15 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Wed, 4 Sep 2024 12:39:05 +0200 Subject: [PATCH 81/93] update docstring for --export-param & --gcp-refine --- orthority/cli.py | 22 ++++++++++------------ 1 file changed, 10 insertions(+), 12 deletions(-) diff --git a/orthority/cli.py b/orthority/cli.py index 7d13f5c..74b1713 100644 --- a/orthority/cli.py +++ b/orthority/cli.py @@ -906,22 +906,20 @@ def rpc( The :option:`--dem ` option is required, except when exporting camera parameters with :option:`--export-params `. If :option:`--crs - ` is not supplied, a WGS84 geographic world / ortho CRS is used:: + ` is not supplied, a 3D WGS84 geographic world / ortho CRS is used:: oty rpc --dem dem.tif source*.tif Camera parameters can be refined with GCPs using :option:`--gcp-refine `:: - oty rpc --dem dem.tif --gcp-refine source*.tif + oty rpc --dem dem.tif --gcp-refine tags source*.tif - Camera parameters can be exported to an Orthority format file with :option:`--export-params - `:: + Camera parameters can be exported to Orthority format file(s) with :option:`--export-params + `. If it is supplied with :option:`--gcp-refine `, the refined parameters are exported as well as the GCPs:: - oty rpc ---export-params --gcp-refine source*.tif - - If :option:`--gcp-refine ` is supplied with :option:`--export-params - `, it is the refined parameters are exported, as well as the GCPs. + oty rpc ---export-params --gcp-refine tags source*.tif Ortho images and exported files are placed in the current working directory by default. This can be changed with :option:`--out-dir `. @@ -954,16 +952,16 @@ def rpc( if gcp_refine is not None: # refine model(s) with GCPs - ref_kwargs = dict(method=refine_method) + fit_kwargs = dict(method=refine_method) try: if str(gcp_refine).lower() == 'tags': # set up progress bar args tqdm_kwargs = common.get_tqdm_kwargs(desc='Reading GCPs', unit='files', leave=False) cameras.refine( - src_files, io_kwargs=dict(progress=tqdm_kwargs), ref_kwargs=ref_kwargs + src_files, io_kwargs=dict(progress=tqdm_kwargs), fit_kwargs=fit_kwargs ) else: - cameras.refine(gcp_refine, ref_kwargs=ref_kwargs) + cameras.refine(gcp_refine, fit_kwargs=fit_kwargs) except (FileNotFoundError, OrthorityError) as ex: raise click.BadParameter(str(ex), param_hint="'-gr / --gcp-refine'") @@ -1122,7 +1120,7 @@ def sharpen( ms_err_indexes = np.array(ms_indexes) ms_err_indexes = ms_err_indexes[(ms_err_indexes <= 0) | (ms_err_indexes > ms_im.count)] - if len(ms_indexes) > 0 and len(ms_err_indexes) > 0: + if len(ms_err_indexes) > 0: ms_name = common.get_filename(ms_im) raise click.BadParameter( f"Multispectral indexes {tuple(ms_err_indexes.tolist())} are out of range for " From 15948f8f0ba3ceb050dc0fa89846698c24752e24 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Fri, 6 Sep 2024 14:34:55 +0200 Subject: [PATCH 82/93] use MS dtype for pan sharpened image --- orthority/pan_sharp.py | 2 +- tests/test_pan_sharp.py | 19 ++++++++++--------- 2 files changed, 11 insertions(+), 10 deletions(-) diff --git a/orthority/pan_sharp.py b/orthority/pan_sharp.py index abf19f9..42b448b 100644 --- a/orthority/pan_sharp.py +++ b/orthority/pan_sharp.py @@ -607,7 +607,7 @@ def process( ) # open output image - dtype = dtype or np.promote_types(pan_im.dtypes[0], ms_im.dtypes[0]) + dtype = dtype or ms_im.dtypes[0] colorinterp = [ms_im.colorinterp[mi - 1] for mi in ms_indexes] out_profile, write_mask = common.create_profile( dtype, compress=compress, write_mask=write_mask, colorinterp=colorinterp diff --git a/tests/test_pan_sharp.py b/tests/test_pan_sharp.py index 7b93c70..7edc546 100644 --- a/tests/test_pan_sharp.py +++ b/tests/test_pan_sharp.py @@ -491,22 +491,23 @@ def test_process_write_mask(pan_sharpen: PanSharpen, tmp_path: Path, write_mask: @pytest.mark.parametrize( - 'pan_dtype, out_dtype', + 'ms_dtype, out_dtype', [('uint8', None), ('float32', None), *[(None, dt) for dt in common._nodata_vals.keys()]], ) def test_process_dtype( - pan_file: Path, ms_file: Path, tmp_path: Path, pan_dtype: str, out_dtype: str + pan_file: Path, ms_file: Path, tmp_path: Path, ms_dtype: str, out_dtype: str ): """Test the ``PanSharpen.process()`` ``dtype`` argument, and its effect on the ``compress`` default value behaviour. """ - with WarpedVRT(rio.open(pan_file, 'r'), dtype=pan_dtype) as pan_im: - pan_sharp = PanSharpen(pan_im, ms_file) - out_file = tmp_path.joinpath('pan_sharp.tif') - pan_sharp.process(out_file, write_mask=False, dtype=out_dtype, compress=None) - - with rio.open(ms_file, 'r') as ms_im: - out_dtype = out_dtype or str(np.promote_types(pan_im.dtypes[0], ms_im.dtypes[0])) + with rio.open(ms_file, 'r') as ms_im_: + profile = dict(width=ms_im_.width, height=ms_im_.height, dtype=ms_dtype) + with WarpedVRT(ms_im_, **profile) as ms_im: + pan_sharp = PanSharpen(pan_file, ms_im) + out_file = tmp_path.joinpath('pan_sharp.tif') + pan_sharp.process(out_file, write_mask=False, dtype=out_dtype, compress=None) + + out_dtype = out_dtype or ms_im.dtypes[0] compress = Compress.jpeg if out_dtype == 'uint8' else Compress.deflate with rio.open(out_file, 'r') as out_im: From d76c7f076d00adbc009f23440a0ffade90c01bf0 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Sat, 7 Sep 2024 10:04:59 +0200 Subject: [PATCH 83/93] update docs for RPC refinement and pan sharpening: - Split each sub-command into its own doc - Top level orthorectification and pan sharpening sections - Fix links - Add notes on refinement and sharpening --- docs/cli/index.rst | 1 + docs/cli/sharpen.rst | 2 + docs/file_formats/exif_xmp.rst | 4 +- docs/file_formats/oty_gcps.rst | 2 +- .../cli/basic_orthorectification.rst | 106 ------------------ docs/getting_started/cli/camera_config.rst | 2 +- docs/getting_started/cli/exif.rst | 20 ++++ docs/getting_started/cli/file_io.rst | 24 ++++ docs/getting_started/cli/frame.rst | 34 ++++++ docs/getting_started/cli/index.rst | 8 +- docs/getting_started/cli/model_export.rst | 12 -- docs/getting_started/cli/odm.rst | 12 ++ .../cli/orthorectification.rst | 19 ++++ docs/getting_started/cli/pan_sharpening.rst | 11 ++ docs/getting_started/cli/rpc.rst | 35 ++++++ docs/getting_started/cli/shared.txt | 3 + docs/getting_started/cli/sharp_config.rst | 27 +++++ docs/getting_started/cli/sharpen.rst | 16 +++ docs/shared.txt | 1 + orthority/camera.py | 9 +- orthority/cli.py | 7 +- orthority/factory.py | 5 +- orthority/fit.py | 2 +- orthority/param_io.py | 6 +- 24 files changed, 226 insertions(+), 142 deletions(-) create mode 100644 docs/cli/sharpen.rst delete mode 100644 docs/getting_started/cli/basic_orthorectification.rst create mode 100644 docs/getting_started/cli/exif.rst create mode 100644 docs/getting_started/cli/file_io.rst create mode 100644 docs/getting_started/cli/frame.rst delete mode 100644 docs/getting_started/cli/model_export.rst create mode 100644 docs/getting_started/cli/odm.rst create mode 100644 docs/getting_started/cli/orthorectification.rst create mode 100644 docs/getting_started/cli/pan_sharpening.rst create mode 100644 docs/getting_started/cli/rpc.rst create mode 100644 docs/getting_started/cli/sharp_config.rst create mode 100644 docs/getting_started/cli/sharpen.rst diff --git a/docs/cli/index.rst b/docs/cli/index.rst index f129c00..c2ccbba 100644 --- a/docs/cli/index.rst +++ b/docs/cli/index.rst @@ -9,4 +9,5 @@ Command line reference exif odm rpc + sharpen simple_ortho diff --git a/docs/cli/sharpen.rst b/docs/cli/sharpen.rst new file mode 100644 index 0000000..6a3e148 --- /dev/null +++ b/docs/cli/sharpen.rst @@ -0,0 +1,2 @@ +.. click:: orthority.cli:sharpen + :prog: oty sharpen diff --git a/docs/file_formats/exif_xmp.rst b/docs/file_formats/exif_xmp.rst index df4efa1..f1a4601 100644 --- a/docs/file_formats/exif_xmp.rst +++ b/docs/file_formats/exif_xmp.rst @@ -1,5 +1,5 @@ -EXIF / XMP tags -=============== +Image EXIF / XMP tags +===================== :ref:`Frame camera ` interior and exterior parameters can be read from image EXIF / XMP tags. The tables below list required tag sets. If more than one set is present, the first complete set is used. diff --git a/docs/file_formats/oty_gcps.rst b/docs/file_formats/oty_gcps.rst index e070711..0eb97a6 100644 --- a/docs/file_formats/oty_gcps.rst +++ b/docs/file_formats/oty_gcps.rst @@ -1,7 +1,7 @@ Orthority GCPs ============== -The native Orthority GCP format is a standard GeoJSON ``FeatureCollection`` of ``Point`` features, that can be visualised in a GIS. Each ``Feature`` is a GCP, where the geometry is its position in `3D WGS84 geographic coordinates `__. ``Feature`` properties are as follows: +The native Orthority GCP format is a standard GeoJSON ``FeatureCollection`` of ``Point`` features, that can be visualised in a GIS. Each ``Feature`` is a GCP, where the geometry is its position in 3D WGS84 geographic coordinates. ``Feature`` properties are as follows: .. list-table:: :widths: auto diff --git a/docs/getting_started/cli/basic_orthorectification.rst b/docs/getting_started/cli/basic_orthorectification.rst deleted file mode 100644 index eec3b85..0000000 --- a/docs/getting_started/cli/basic_orthorectification.rst +++ /dev/null @@ -1,106 +0,0 @@ -.. include:: ../../shared.txt -.. include:: shared.txt - -Basic orthorectification -======================== - -|oty|_ orthorectification sub-commands allow :doc:`camera models <../../background/camera_models>` to be specified in different ways. - -``oty frame`` -------------- - -|oty frame|_ uses interior and exterior parameter files to specify :ref:`frame camera models `. Here we orthorectify NGI_ aerial images using the associated DEM, :doc:`Orthority format <../../file_formats/oty_int>` interior parameters, and :doc:`CSV format <../../file_formats/csv>` exterior parameters. Ortho images are placed in the current directory: - -.. code-block:: bash - - oty frame --dem ngi/dem.tif --int-param io/ngi_int_param.yaml --ext-param io/ngi_xyz_opk.csv ngi/*RGB.tif - -In order of priority, the world / ortho CRS is read from: - -#. :option:`--crs ` option, if supplied. -#. Exterior parameters, if in: - * :doc:`Orthority format <../../file_formats/oty_ext>`. - * :doc:`OpenDroneMap / OpenSfM <../../file_formats/opensfm>` :file:`reconstruction.json` format. - * :doc:`CSV format <../../file_formats/csv>` with ``x``, ``y`` & ``z`` fields and a :file:`.prj` sidecar file. - * :doc:`CSV format <../../file_formats/csv>` with ``latitude``, ``longitude``, ``altitude``, ``roll``, ``pitch`` & ``yaw`` fields. -#. Source image CRS metadata, if any. - -In the first example, the world / ortho CRS is read from exterior parameters in CSV format with ``x``, ``y`` & ``z`` fields and a :file:`.prj` sidecar file. - -In the next example, exterior parameters are in CSV format with ``x``, ``y`` & ``z`` fields, but no :file:`.prj` sidecar file. The world / ortho CRS cannot be read from the input files, so it is specified with :option:`--crs `: - -.. code-block:: bash - - oty frame --dem odm/odm_dem/dsm.tif --int-param odm/opensfm/reconstruction.json --ext-param io/odm_xyz_opk.csv --crs EPSG:32651 odm/images/*.tif - -.. note:: - - See the :doc:`file format documentation <../../file_formats/index>` for supported frame camera parameter formats. - -``oty exif`` ------------- - -Frame camera models can be derived from image EXIF / XMP tags with |oty exif|_. The :doc:`EXIF / XMP documentation <../../file_formats/exif_xmp>` describes the required tags. This example orthorectifies drone imagery using an OpenDroneMap generated DSM. Ortho images are placed in the current directory: - -.. code-block:: bash - - oty exif --dem odm/odm_dem/dsm.tif odm/images/*.tif - -The world / ortho CRS defaults to a UTM CRS whose zone covers the camera positions. This can be changed with :option:`--crs `: - -.. code-block:: bash - - oty exif --dem odm/odm_dem/dsm.tif --crs EPSG:32651 odm/images/*.tif - -.. note:: - - EXIF / XMP tag values typically contain inaccuracies that can result in distortion and positioning errors in the ortho images. This is the case with the Orthority test data, and a general limitation of this approach. - -``oty odm`` ------------ - -|oty odm|_ orthorectifies images in an `OpenDroneMap `__ generated dataset using the dataset DSM (:file:`{dataset}/odm_dem/dsm.tif`) and camera models (:file:`{dataset}/opensfm/reconstruction.json`). Here we orthorectify images in the :file:`odm` dataset. Ortho images are placed in the :file:`{dataset}/orthority` directory: - -.. code-block:: bash - - oty odm --dataset-dir odm - -Without the :option:`--crs ` option, the world / ortho CRS is read from the OpenDroneMap DSM. This is the recommended setting. - -``oty rpc`` ------------- - -RPC camera model(s) can be derived from :doc:`image tags / sidecar files <../../file_formats/image_rpc>` or an :doc:`Orthority RPC parameter file <../../file_formats/oty_rpc>` with |oty rpc|_. This example orthorectifies a satellite image with RPC tags using the NGI DEM of the same area. Ortho images are placed in the current directory: - -.. code-block:: bash - - oty rpc --dem ngi/dem.tif rpc/qb2_basic1b.tif - -The same image can be orthorectified with the model defined by a RPC parameter file: - -.. code-block:: bash - - oty rpc --dem ngi/dem.tif --rpc-param rpc/rpc_param.yaml rpc/qb2_basic1b.tif - -The world / ortho CRS defaults to the WGS84 geographic 3D CRS. This can be changed with :option:`--crs `: - -.. code-block:: bash - - oty rpc --dem ngi/dem.tif --crs EPSG:32735 rpc/qb2_basic1b.tif - - -File IO -------- - -Files can be read from or written to local or remote :doc:`file paths / URIs <../../background/path_uri>`. ``SOURCE`` images can be specified with local or remote wildcard patterns. - -.. note:: - - Some file systems, like HTTP, are read-only and don't support wildcards. - -Ortho images are named automatically based on the source image names. The output directory for ortho images and :doc:`exported files ` can be changed from its default with the ``--out-dir`` option. Passing ``--overwrite`` overwrites existing files. These options are common to all |oty|_ orthorectification sub-commands. E.g., this repeats the :ref:`getting_started/cli/basic_orthorectification:``oty odm``` example, creating and using :file:`ortho` as the output directory, and overwriting existing files: - -.. code-block:: bash - - mkdir ortho - oty odm --dataset-dir odm --out-dir ortho --overwrite diff --git a/docs/getting_started/cli/camera_config.rst b/docs/getting_started/cli/camera_config.rst index c8c68bb..e7be16c 100644 --- a/docs/getting_started/cli/camera_config.rst +++ b/docs/getting_started/cli/camera_config.rst @@ -3,7 +3,7 @@ Frame camera configuration ========================== -Required camera model parameters are read from file. Additional command line options allow configuration of camera model behaviour. These options are common to the |oty frame|_, |oty exif|_ and |oty odm|_ sub-commands. +Required camera model parameters are read from file. Additional command line options allow configuration of frame camera model behaviour, via the |oty frame|_, |oty exif|_ or |oty odm|_ sub-commands. The ``--full-remap`` option configures a camera to remap the source to ortho image in one step. This uses the full model including distortion, and is the default behaviour. With ``--no-full-remap``, the source is first remapped to an undistorted image, then remapped to the ortho image using a pinhole model excluding distortion. ``--no-full-remap`` is faster, but can use more memory and reduce ortho quality, as it remaps and interpolates twice. diff --git a/docs/getting_started/cli/exif.rst b/docs/getting_started/cli/exif.rst new file mode 100644 index 0000000..17ebfbd --- /dev/null +++ b/docs/getting_started/cli/exif.rst @@ -0,0 +1,20 @@ +.. include:: shared.txt + +``oty exif`` +============ + +Frame camera models can be derived from image EXIF / XMP tags with |oty exif|_. The :doc:`EXIF / XMP documentation <../../file_formats/exif_xmp>` describes the required tags. This example orthorectifies drone imagery using an OpenDroneMap generated DSM. Ortho images are placed in the current directory: + +.. code-block:: bash + + oty exif --dem odm/odm_dem/dsm.tif odm/images/*.tif + +The world / ortho CRS defaults to a UTM CRS whose zone covers the camera positions. This can be changed with :option:`--crs `: + +.. code-block:: bash + + oty exif --dem odm/odm_dem/dsm.tif --crs EPSG:32651 odm/images/*.tif + +.. note:: + + EXIF / XMP tag values typically contain inaccuracies that can result in distortion and positioning errors in the ortho images. This is the case with the Orthority test data, and a general limitation of this approach. diff --git a/docs/getting_started/cli/file_io.rst b/docs/getting_started/cli/file_io.rst new file mode 100644 index 0000000..5656230 --- /dev/null +++ b/docs/getting_started/cli/file_io.rst @@ -0,0 +1,24 @@ +.. include:: shared.txt + +File IO +======= + +Files can be read from or written to local or remote :doc:`file paths / URIs <../../background/path_uri>`. ``SOURCE`` images can be specified with local or remote wildcard patterns. Ortho images are named automatically based on the source image names. + +.. note:: + + Some file systems, like HTTP, are read-only and don't support wildcards. + +Camera parameters can be exported to Orthority format files by supplying the ``--export-params`` option to any of the |oty|_ orthorectification sub-commands. When ``--export-params`` is supplied, the command exits after exporting, and no orthorectification is performed. This example exports models derived from image EXIF / XMP tags: + +.. code-block:: bash + + oty exif --export-params odm/images/*.tif + +The default output directory for ortho images and exported files is specific to the sub-command. It can be changed with ``--out-dir``. Passing ``--overwrite`` overwrites existing files. Again, these options are common to all |oty|_ orthorectification sub-commands. E.g., this orthorectifies the OpenDroneMap dataset, creating and using :file:`ortho` as the output directory, and overwriting existing files: + +.. code-block:: bash + + mkdir ortho + oty odm --dataset-dir odm --out-dir ortho --overwrite + diff --git a/docs/getting_started/cli/frame.rst b/docs/getting_started/cli/frame.rst new file mode 100644 index 0000000..3f8dc35 --- /dev/null +++ b/docs/getting_started/cli/frame.rst @@ -0,0 +1,34 @@ +.. include:: ../../shared.txt +.. include:: shared.txt + +``oty frame`` +============= + +|oty frame|_ uses interior and exterior parameter files to specify :ref:`frame camera models `. Here we orthorectify NGI_ aerial images using the associated DEM, :doc:`Orthority format <../../file_formats/oty_int>` interior parameters, and :doc:`CSV format <../../file_formats/csv>` exterior parameters. Ortho images are placed in the current directory: + +.. code-block:: bash + + oty frame --dem ngi/dem.tif --int-param io/ngi_int_param.yaml --ext-param io/ngi_xyz_opk.csv ngi/*RGB.tif + +In order of priority, the world / ortho CRS is read from: + +#. :option:`--crs ` option, if supplied. +#. Exterior parameters, if in: + * :doc:`Orthority format <../../file_formats/oty_ext>`. + * :doc:`OpenDroneMap / OpenSfM <../../file_formats/opensfm>` :file:`reconstruction.json` format. + * :doc:`CSV format <../../file_formats/csv>` with ``x``, ``y`` & ``z`` fields and a :file:`.prj` sidecar file. + * :doc:`CSV format <../../file_formats/csv>` with ``latitude``, ``longitude``, ``altitude``, ``roll``, ``pitch`` & ``yaw`` fields. +#. Source image CRS metadata, if any. + +In the first example, the world / ortho CRS is read from exterior parameters in CSV format with ``x``, ``y`` & ``z`` fields and a :file:`.prj` sidecar file. + +In the next example, exterior parameters are in CSV format with ``x``, ``y`` & ``z`` fields, but no :file:`.prj` sidecar file. The world / ortho CRS cannot be read from the input files, so it must be specified with :option:`--crs `: + +.. code-block:: bash + + oty frame --dem odm/odm_dem/dsm.tif --int-param odm/opensfm/reconstruction.json --ext-param io/odm_xyz_opk.csv --crs EPSG:32651 odm/images/*.tif + +.. note:: + + See the :doc:`file format documentation <../../file_formats/index>` for supported frame camera parameter formats. + diff --git a/docs/getting_started/cli/index.rst b/docs/getting_started/cli/index.rst index 395d8db..90153dd 100644 --- a/docs/getting_started/cli/index.rst +++ b/docs/getting_started/cli/index.rst @@ -22,9 +22,5 @@ and help on an ``oty`` sub-command with: :maxdepth: 1 running_examples - basic_orthorectification - model_export - ortho_config - camera_config - algorithm_config - + orthorectification + pan_sharpening diff --git a/docs/getting_started/cli/model_export.rst b/docs/getting_started/cli/model_export.rst deleted file mode 100644 index 6e5699e..0000000 --- a/docs/getting_started/cli/model_export.rst +++ /dev/null @@ -1,12 +0,0 @@ -.. include:: shared.txt - -Camera model export -=================== - -:doc:`Camera models <../../background/camera_models>` can be exported to Orthority format files by supplying the ``--export-params`` option to any of the |oty|_ orthorectification sub-commands. When ``--export-params`` is supplied, the command exits after exporting, and no orthorectification is performed. This example exports camera models derived from drone image EXIF / XMP tags: - -.. code-block:: bash - - oty exif --export-params odm/images/*.tif - -The default output directory is specific to the |oty|_ sub-command. It can be changed with ``--out-dir``, and existing files replaced with ``--overwrite``. diff --git a/docs/getting_started/cli/odm.rst b/docs/getting_started/cli/odm.rst new file mode 100644 index 0000000..ecc0400 --- /dev/null +++ b/docs/getting_started/cli/odm.rst @@ -0,0 +1,12 @@ +.. include:: shared.txt + +``oty odm`` +=========== + +|oty odm|_ orthorectifies images in an `OpenDroneMap `__ generated dataset using the dataset DSM (:file:`{dataset}/odm_dem/dsm.tif`) and camera models (:file:`{dataset}/opensfm/reconstruction.json`). Here we orthorectify images in the :file:`odm` dataset. Ortho images are placed in the :file:`{dataset}/orthority` directory: + +.. code-block:: bash + + oty odm --dataset-dir odm + +Without the :option:`--crs ` option, the world / ortho CRS is read from the OpenDroneMap DSM. This is the recommended setting. diff --git a/docs/getting_started/cli/orthorectification.rst b/docs/getting_started/cli/orthorectification.rst new file mode 100644 index 0000000..6a5c759 --- /dev/null +++ b/docs/getting_started/cli/orthorectification.rst @@ -0,0 +1,19 @@ +.. include:: ../../shared.txt +.. include:: shared.txt + +Orthorectification +================== + +Orthority supports orthorectifying frame and RPC :doc:`camera models <../../background/camera_models>`. Camera model parameters can be read from various :doc:`file formats <../../file_formats/index>`. |oty|_ orthorectification sub-commands allow camera models to be specified in different ways. + +.. toctree:: + :maxdepth: 1 + + frame + exif + odm + rpc + file_io + ortho_config + camera_config + algorithm_config diff --git a/docs/getting_started/cli/pan_sharpening.rst b/docs/getting_started/cli/pan_sharpening.rst new file mode 100644 index 0000000..a96ab55 --- /dev/null +++ b/docs/getting_started/cli/pan_sharpening.rst @@ -0,0 +1,11 @@ +.. include:: ../../shared.txt +.. include:: shared.txt + +Pan sharpening +============== + +.. toctree:: + :maxdepth: 1 + + sharpen + sharp_config diff --git a/docs/getting_started/cli/rpc.rst b/docs/getting_started/cli/rpc.rst new file mode 100644 index 0000000..a772e54 --- /dev/null +++ b/docs/getting_started/cli/rpc.rst @@ -0,0 +1,35 @@ +.. include:: shared.txt + +``oty rpc`` +=========== + +|oty rpc|_ orthorectifies with RPC camera model(s) derived from :doc:`image tags / sidecar files <../../file_formats/image_rpc>` or an :doc:`Orthority RPC parameter file <../../file_formats/oty_rpc>`. This example orthorectifies a satellite image with RPC tags using the NGI DEM of the same area. Ortho images are placed in the current directory: + +.. code-block:: bash + + oty rpc --dem ngi/dem.tif rpc/qb2_basic1b.tif + +The model can also be defined by an RPC parameter file: + +.. code-block:: bash + + oty rpc --dem ngi/dem.tif --rpc-param rpc/rpc_param.yaml rpc/qb2_basic1b.tif + +By default, a 3D WGS84 geographic CRS is used as the world / ortho CRS. This can be changed with :option:`--crs `. The RPC world / ortho CRS is required to use ellipsoidal heights (m). If DEM heights are not ellipsoidal, both world / ortho and DEM CRSs should define a :doc:`vertical CRS <../../background/vertical_crs>`. In this example, the NGI DEM has a defined EGM2008 vertical CRS, so the world / ortho CRS is defined as a 2D+1D CRS with ellipsoidal heights: + +.. code-block:: bash + + oty rpc --dem ngi/dem.tif --crs EPSG:32735+4326 rpc/qb2_basic1b.tif + +The RPC model can be refined with GCPs using :option:`--gcp-refine `. GCPs can be provided in ``SOURCE`` :doc:`image tags <../../file_formats/image_gcps>`: + +.. code-block:: bash + + oty rpc --dem ngi/dem.tif --gcp-refine tags rpc/qb2_basic1b.tif + +Or GCPs can be provided with an :doc:`Orthority GCPs file <../../file_formats/oty_gcps>`. The :option:`--refine-method ` option specifies the refinement method: + +.. code-block:: bash + + oty rpc --dem ngi/dem.tif --gcp-refine rpc/gcps.geojson --refine-method shift rpc/qb2_basic1b.tif + diff --git a/docs/getting_started/cli/shared.txt b/docs/getting_started/cli/shared.txt index 41e8b96..acb45eb 100644 --- a/docs/getting_started/cli/shared.txt +++ b/docs/getting_started/cli/shared.txt @@ -12,3 +12,6 @@ .. |oty rpc| replace:: ``oty rpc`` .. _oty rpc: ../../cli/rpc.html + +.. |oty sharpen| replace:: ``oty sharpen`` +.. _oty sharpen: ../../cli/sharpen.html diff --git a/docs/getting_started/cli/sharp_config.rst b/docs/getting_started/cli/sharp_config.rst new file mode 100644 index 0000000..27ff535 --- /dev/null +++ b/docs/getting_started/cli/sharp_config.rst @@ -0,0 +1,27 @@ +.. include:: shared.txt +.. include:: ../../shared.txt + +Output image configuration +========================== + +Pan sharpened images are created as GeoTIFFs. Image format (data type, compression, nodata / internal mask and overviews) can be configured. Configuration options are shared with the |oty|_ orthorectification sub-commands, and default to sensible values when not supplied. + +The image data type defaults to the multispectral image data type, and can be changed with ``--dtype``. Compression can be configured with ``--compress`` as either ``deflate`` (with any image data type) or ``jpeg`` (with the ``uint8`` or ``uint16`` image data types). If ``--compress`` is not specified, compression defaults to ``jpeg`` when the image data type is ``uint8``, otherwise it defaults to ``deflate``. When ``jpeg`` compression is used with the ``uint16`` data type, the image is 12 bit ``jpeg`` compressed. + +.. note:: + + Support for 12 bit JPEG compression is Rasterio_ build / package dependent. + +The next example creates a pan sharpened image with the ``int16`` data type, and ``deflate`` compression: + +.. code-block:: bash + + oty sharpen --pan pan_sharp/pan.tif --multispectral pan_sharp/ms.tif --out-file pan_sharp.tif --dtype int16 --compress deflate + +Valid image pixels are masked with either an internal mask band or a nodata value. By default, an internal mask is used when the image image is ``jpeg`` compressed. This avoids ``jpeg`` artefacts in invalid areas. When the image is ``deflate`` compressed, the default is use to a nodata value based on the data type. Masking behaviour can be changed with ``--write-mask`` to write an internal mask, or ``--no-write-mask`` to use a nodata value. + +Internal overviews are added by default. This can be changed with ``--no-build-ovw``. In this example, we create an pan sharpened image with ``deflate`` compression, internal masking rather than nodata, and no internal overviews: + +.. code-block:: bash + + oty sharpen --pan pan_sharp/pan.tif --multispectral pan_sharp/ms.tif --out-file pan_sharp.tif --compress deflate --write-mask --no-build-ovw diff --git a/docs/getting_started/cli/sharpen.rst b/docs/getting_started/cli/sharpen.rst new file mode 100644 index 0000000..cef31db --- /dev/null +++ b/docs/getting_started/cli/sharpen.rst @@ -0,0 +1,16 @@ +.. include:: shared.txt + +``oty sharpen`` +=============== + +|oty sharpen|_ implements the Gram-Schmidt pan sharpening method. This example pan sharpens a multispectral (RGB) drone image with its matching panchromatic image: + +.. code-block:: bash + + oty sharpen --pan pan_sharp/pan.tif --multispectral pan_sharp/ms.tif --out-file pan_sharp.tif + +Multispectral band indexes for sharpening can be specified with :option:`--ms-index `, and multispectral to panchromatic weights with :option:`--weight `. By default all non-alpha multispectral bands are used, and weights are estimated from the images. + +.. code-block:: bash + + oty sharpen --pan pan_sharp/pan.tif --multispectral pan_sharp/ms.tif --out-file pan_sharp.tif --ms-index 1 --ms-index 2 --ms-index 3 --weight 1 --weight 1 --weight 1 diff --git a/docs/shared.txt b/docs/shared.txt index 20c41a7..b567521 100644 --- a/docs/shared.txt +++ b/docs/shared.txt @@ -3,3 +3,4 @@ .. _GDAL: https://gdal.org .. _pip: https://pip.pypa.io .. _conda: https://docs.anaconda.com/free/miniconda +.. _OpenDroneMap: https://github.com/OpenDroneMap/ODM diff --git a/orthority/camera.py b/orthority/camera.py index 47f5c9a..a3ebcb0 100644 --- a/orthority/camera.py +++ b/orthority/camera.py @@ -410,7 +410,9 @@ class RpcCamera(Camera): world coordinate transform. :param crs: World / ortho CRS as an EPSG, proj4 or WKT string, or :class:`~rasterio.crs.CRS` object. - If set to ``None`` (the default), the WGS84 geographic 3D CRS is used. + If its vertical CRS is defined, it should be ellipsoidal height (m), otherwise + ellipsoidal height is assumed. If ``crs`` is set to ``None`` (the default), the 3D WGS84 + geographic CRS is used. """ def __init__( @@ -431,6 +433,7 @@ def __init__( @property def crs(self) -> CRS | None: + """World / ortho CRS.""" return self._crs or self._rpc_crs def _validate_crs(self, crs: str | CRS) -> CRS: @@ -439,9 +442,7 @@ def _validate_crs(self, crs: str | CRS) -> CRS: for z in [0, 1]: xyz = warp(self._rpc_crs, crs, [self._rpc.long_off], [self._rpc.lat_off], [z]) if not xyz[2][0] == z: - raise OrthorityError( - "RPC camera requires a 'crs' with ellipsoidal height, or no vertical component." - ) + raise OrthorityError("RPC camera requires a 'crs' with ellipsoidal height (m).") return crs def world_to_pixel(self, xyz: np.ndarray) -> np.ndarray: diff --git a/orthority/cli.py b/orthority/cli.py index 74b1713..115af0d 100644 --- a/orthority/cli.py +++ b/orthority/cli.py @@ -916,8 +916,9 @@ def rpc( oty rpc --dem dem.tif --gcp-refine tags source*.tif Camera parameters can be exported to Orthority format file(s) with :option:`--export-params - `. If it is supplied with :option:`--gcp-refine `, the refined parameters are exported as well as the GCPs:: + `. If :option:`--export-params ` is + supplied with :option:`--gcp-refine `, the refined parameters are + exported as well as the GCPs:: oty rpc ---export-params --gcp-refine tags source*.tif @@ -1076,7 +1077,7 @@ def sharpen( ) -> None: """ Increases the resolution of a multispectral image to that of a panchromatic image using the - Gram-Schmidt method. + Gram-Schmidt pan sharpening method. Panchromatic and multispectral image bounds should overlap if they are georeferenced. If one or both of the images are not georeferenced, they are assumed to having matching bounds. diff --git a/orthority/factory.py b/orthority/factory.py index fdb96b2..6eb9fa6 100644 --- a/orthority/factory.py +++ b/orthority/factory.py @@ -325,7 +325,7 @@ def refine( GCPs as one of: - :doc:`Orthority GCP file <../file_formats/oty_gcps>` as a path or URI string, - an :class:`~fsspec.core.OpenFile` object or a file object, opened in text mode + an :class:`~fsspec.core.OpenFile` object or file object, opened in text mode (``'rt'``). - :doc:`Image file(s) with GCP tags <../file_formats/image_gcps>` as a list of paths or URI strings, :class:`~fsspec.core.OpenFile` objects in binary mode (``'rb'``), @@ -379,8 +379,7 @@ def write_param(self, out_dir: str | PathLike | OpenFile, overwrite: bool = Fals """ Write camera parameters to Orthority format file(s). - When the models have been refined, the refined models are written, together with the GCPs - used to refine them. + When the models have been refined, the refined models are written, together with the GCPs. :param out_dir: Directory to write into. Can be a path, URI string, or an diff --git a/orthority/fit.py b/orthority/fit.py index d6e0cb3..7b7a80f 100644 --- a/orthority/fit.py +++ b/orthority/fit.py @@ -45,7 +45,7 @@ def refine_rpc( RPC parameters as a :class:`~rasterio.rpc.RPC` object or dictionary. :param gcps: List of GCP dictionaries, e.g. an item value in a dictionary returned by - :meth:`~orthority.param_io.read_im_gpcs` or :meth:`~orthority.param_io.read_oty_gpcs`. + :func:`~orthority.param_io.read_im_gcps` or :func:`~orthority.param_io.read_oty_gcps`. :param method: Refinement method. diff --git a/orthority/param_io.py b/orthority/param_io.py index c46ae02..6ae4ba0 100644 --- a/orthority/param_io.py +++ b/orthority/param_io.py @@ -448,7 +448,7 @@ def read_im_gcps( progress: bool | dict = False, ) -> dict[str, list[dict]]: """ - Read GCPs from :doc:`tags in image file(s) <../file_formats/image_gcp>`. + Read GCPs from :doc:`tags in image file(s) <../file_formats/image_gcps>`. :param files: File(s) to read as a list of paths or URI strings, :class:`~fsspec.core.OpenFile` @@ -514,7 +514,7 @@ def _read_im_gcps( def read_oty_gcps(file: str | PathLike | OpenFile | IO[str]) -> dict[str, list[dict]]: """ - Read GCPs for one or more images from an :doc:`Orthority GCP file <../file_formats/oty_gcp>`. + Read GCPs for one or more images from an :doc:`Orthority GCP file <../file_formats/oty_gcps>`. :param file: File to read. Can be a path or URI string, an :class:`~fsspec.core.OpenFile` object or a @@ -669,7 +669,7 @@ def write_gcps( overwrite: bool = False, ) -> None: """ - Write GCPs to an :doc:`Orthority GCP file <../file_formats/oty_gcp>`. + Write GCPs to an :doc:`Orthority GCP file <../file_formats/oty_gcps>`. :param file: File to write. Can be a path or URI string, an :class:`~fsspec.core.OpenFile` object or From 25f9e78044d541efa7cc0e5f20a4b44d4ea9075e Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Sat, 7 Sep 2024 10:23:41 +0200 Subject: [PATCH 84/93] re-organise the common text --- docs/background/camera_models.rst | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/docs/background/camera_models.rst b/docs/background/camera_models.rst index d71b311..4776321 100644 --- a/docs/background/camera_models.rst +++ b/docs/background/camera_models.rst @@ -1,7 +1,7 @@ Camera models ============= -A camera model describes the relationship between 3D :ref:`world ` and 2D :ref:`pixel ` coordinates. +A camera model describes the relationship between 3D :ref:`world ` and 2D :ref:`pixel ` coordinates. Model parameters can be specified with supported :doc:`files <../file_formats/index>`, or directly with the :mod:`~orthority.camera` API. Frame cameras ------------- @@ -11,13 +11,12 @@ Orthority uses the term *frame camera* for area-scan cameras like those used in Interior parameters ~~~~~~~~~~~~~~~~~~~ -The *interior* component describes the relationship between :ref:`camera ` and :ref:`pixel ` coordinates. It depends on the interior geometry and optical properties of the camera. Interior parameters are: image size, focal length, sensor size, principal point and distortion coefficients. Parameter values can be specified with supported :doc:`files <../file_formats/index>`, or directly with the :mod:`~orthority.camera` API. +The *interior* component describes the relationship between :ref:`camera ` and :ref:`pixel ` coordinates. It depends on the interior geometry and optical properties of the camera. Interior parameters are: image size, focal length, sensor size, principal point and distortion coefficients. Exterior parameters ~~~~~~~~~~~~~~~~~~~ -The *exterior* component describes the relationship between :ref:`world ` and :ref:`camera ` coordinates. It is an affine transform consisting of a translation and rotation. Orthority represents exterior parameters as a world coordinate (*x*, *y*, *z*) camera position, and (*omega*, *phi*, *kappa*) camera orientation, where the (*omega*, *phi*, *kappa*) angles rotate from camera to world coordinates. Parameter values can be read from supported :doc:`files <../file_formats/index>`, or specified directly with the :mod:`~orthority.camera` API. - +The *exterior* component describes the relationship between :ref:`world ` and :ref:`camera ` coordinates. It is an affine transform consisting of a translation and rotation. Orthority represents exterior parameters as a world coordinate (*x*, *y*, *z*) camera position, and (*omega*, *phi*, *kappa*) camera orientation, where the (*omega*, *phi*, *kappa*) angles rotate from camera to world coordinates. RPC cameras ----------- From 82bc2c820bbcd04cac98b57440c5e1d9e9469886 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Sat, 7 Sep 2024 10:48:17 +0200 Subject: [PATCH 85/93] point github links at main branch --- docs/getting_started/api/pan_sharp.rst | 2 -- docs/scripts/api_pan_sharp.py | 6 +----- docs/scripts/api_rpc.py | 3 +-- 3 files changed, 2 insertions(+), 9 deletions(-) diff --git a/docs/getting_started/api/pan_sharp.rst b/docs/getting_started/api/pan_sharp.rst index 2765bb0..60bdd99 100644 --- a/docs/getting_started/api/pan_sharp.rst +++ b/docs/getting_started/api/pan_sharp.rst @@ -5,7 +5,5 @@ The :class:`~orthority.pan_sharp.PanSharpen` class implements Gram-Schmidt pan s .. literalinclude:: ../../scripts/api_pan_sharp.py :language: python - :start-after: [pan_sharpen] - :end-before: [end pan_sharpen] See the :meth:`~orthority.pan_sharp.PanSharpen.process` documentation for details on other configuration options. diff --git a/docs/scripts/api_pan_sharp.py b/docs/scripts/api_pan_sharp.py index 12dd881..cd1ee30 100644 --- a/docs/scripts/api_pan_sharp.py +++ b/docs/scripts/api_pan_sharp.py @@ -1,14 +1,10 @@ -# TODO: change URL to main branch -# code for getting started->api->pan sharpening -# [pan_sharpen] import orthority as oty # URLs of required files -url_root = 'https://raw.githubusercontent.com/leftfield-geospatial/orthority/feature_refine_gcp/tests/data/' +url_root = 'https://raw.githubusercontent.com/leftfield-geospatial/orthority/main/tests/data/' pan_file = url_root + 'pan_sharp/pan.tif' # panchromatic drone image ms_file = url_root + 'pan_sharp/ms.tif' # multispectral (RGB) drone image # create PanSharpen object and pan sharpen pan_sharp = oty.PanSharpen(pan_file, ms_file) pan_sharp.process('pan_sharp.tif') -# [end pan_sharpen] diff --git a/docs/scripts/api_rpc.py b/docs/scripts/api_rpc.py index 631d504..8f5defa 100644 --- a/docs/scripts/api_rpc.py +++ b/docs/scripts/api_rpc.py @@ -1,10 +1,9 @@ -# TODO: change URL to main branch # code for getting started->api->camera models->rpc cameras # [create camera] import orthority as oty # URLs of required files -url_root = 'https://raw.githubusercontent.com/leftfield-geospatial/orthority/feature_refine_gcp/tests/data/' +url_root = 'https://raw.githubusercontent.com/leftfield-geospatial/orthority/main/tests/data/' src_file = url_root + 'rpc/qb2_basic1b.tif' # satellite image with RPC tags rpc_param_file = url_root + 'rpc/rpc_param.yaml' # Orthority format RPC parameters From 1a436096e5aadadc7280ceceef130d707fd981af Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Sat, 7 Sep 2024 11:02:15 +0200 Subject: [PATCH 86/93] updates for RPC refinement and pan sharpening --- README.rst | 36 ++++++++++++++++++++++++++++++++---- 1 file changed, 32 insertions(+), 4 deletions(-) diff --git a/README.rst b/README.rst index 5ae12bb..76f5519 100644 --- a/README.rst +++ b/README.rst @@ -8,7 +8,7 @@ Orthority .. description_start -Orthority provides a command line interface and Python API for orthorectifying drone, aerial and satellite imagery, given a camera model and DEM. It supports common frame, and RPC camera models. Camera parameters can be read from various file formats, or image tags. +Orthority provides a command line toolkit and Python API for orthorectifying drone, aerial and satellite imagery, given a camera model and DEM. It supports common frame, and RPC camera models. Camera parameters can be read from various file formats, or image tags. Related algorithms including RPC refinement and pan-sharpening, are also provided. .. description_end @@ -103,6 +103,19 @@ Orthorectify ``source.tif`` with the DEM in ``dem.tif``, and RPC camera model de oty rpc --dem dem.tif source.tif +As above, but refine the RPC camera model with GCPs in ``source.tif`` tags: + +.. code-block:: bash + + oty rpc --dem dem.tif --gcp-refine tags source.tif + +Pan sharpen the multispectral image ``ms.tif`` with the panchromatic image ``pan.tif``: + +.. code-block:: bash + + oty sharpen --pan pan.tif --multispectral ms.tif --out-file pan_sharp.tif + + API ~~~ @@ -115,9 +128,7 @@ Orthorectify an image using interior and exterior parameter files to generate th import orthority as oty # URLs of required files - url_root = ( - 'https://raw.githubusercontent.com/leftfield-geospatial/orthority/main/tests/data/' - ) + url_root = 'https://raw.githubusercontent.com/leftfield-geospatial/orthority/main/tests/data/' src_file = url_root + 'ngi/3324c_2015_1004_05_0182_RGB.tif' # aerial image dem_file = url_root + 'ngi/dem.tif' # DEM covering imaged area int_param_file = url_root + 'io/ngi_int_param.yaml' # interior parameters @@ -132,6 +143,23 @@ Orthorectify an image using interior and exterior parameter files to generate th ortho.process('ortho.tif') +Pan sharpen a multispectral image with the matching panchromatic image: + +.. below copied from docs/scripts/api_pan_sharp.py + +.. code-block:: python + + import orthority as oty + + # URLs of required files + url_root = 'https://raw.githubusercontent.com/leftfield-geospatial/orthority/main/tests/data/' + pan_file = url_root + 'pan_sharp/pan.tif' # panchromatic drone image + ms_file = url_root + 'pan_sharp/ms.tif' # multispectral (RGB) drone image + + # create PanSharpen object and pan sharpen + pan_sharp = oty.PanSharpen(pan_file, ms_file) + pan_sharp.process('pan_sharp.tif') + Documentation ------------- From 85a62ee31478019205835643a8a690b6a12d1f23 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Sat, 7 Sep 2024 13:32:46 +0200 Subject: [PATCH 87/93] change tqdm.std -> tqdm.auto --- orthority/cli.py | 2 +- orthority/ortho.py | 4 ++-- orthority/pan_sharp.py | 2 +- orthority/param_io.py | 2 +- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/orthority/cli.py b/orthority/cli.py index 115af0d..06f8b88 100644 --- a/orthority/cli.py +++ b/orthority/cli.py @@ -30,7 +30,7 @@ import yaml from fsspec.core import OpenFile from tqdm.contrib.logging import logging_redirect_tqdm -from tqdm.std import tqdm +from tqdm.auto import tqdm from orthority import root_path, common from orthority.camera import create_camera, FrameCamera diff --git a/orthority/ortho.py b/orthority/ortho.py index b6e6c1d..1234dec 100644 --- a/orthority/ortho.py +++ b/orthority/ortho.py @@ -34,7 +34,7 @@ from rasterio.transform import array_bounds from rasterio.warp import reproject, transform, transform_bounds from rasterio.windows import Window -from tqdm.std import tqdm, tqdm as std_tqdm +from tqdm.auto import tqdm from orthority import common from orthority.camera import Camera, FrameCamera @@ -402,7 +402,7 @@ def _remap( interp: Interp, per_band: bool, write_mask: bool, - progress: bool | std_tqdm, + progress: tqdm, ) -> None: """Map the source to ortho image by interpolation, given open source and ortho datasets, DEM array in the ortho CRS and pixel grid, and configuration parameters. diff --git a/orthority/pan_sharp.py b/orthority/pan_sharp.py index 42b448b..9b61e8a 100644 --- a/orthority/pan_sharp.py +++ b/orthority/pan_sharp.py @@ -33,7 +33,7 @@ from rasterio.warp import transform_bounds from rasterio.windows import intersect, Window from rasterio.windows import transform as window_transform -from tqdm.std import tqdm +from tqdm.auto import tqdm from orthority import common from orthority.enums import Compress, Interp diff --git a/orthority/param_io.py b/orthority/param_io.py index 6ae4ba0..0dbeed0 100644 --- a/orthority/param_io.py +++ b/orthority/param_io.py @@ -40,7 +40,7 @@ from rasterio.errors import CRSError as RioCrsError from rasterio.transform import RPC from rasterio.warp import transform -from tqdm.std import tqdm +from tqdm.auto import tqdm from orthority import common from orthority.enums import CameraType, CsvFormat From e632096c5d447397b60f13e3b1cc254585ec5521 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Sat, 7 Sep 2024 13:33:30 +0200 Subject: [PATCH 88/93] improve test image downsampling --- .../data/ngi/3324c_2015_1004_05_0182_RGB.tif | Bin 166380 -> 193055 bytes .../data/ngi/3324c_2015_1004_05_0184_RGB.tif | Bin 158452 -> 181974 bytes .../data/ngi/3324c_2015_1004_06_0251_RGB.tif | Bin 142161 -> 167157 bytes .../data/ngi/3324c_2015_1004_06_0253_RGB.tif | Bin 154566 -> 178691 bytes tests/data/odm/images/100_0005_0018.tif | Bin 323209 -> 347509 bytes tests/data/odm/images/100_0005_0136.tif | Bin 305941 -> 328758 bytes tests/data/odm/images/100_0005_0140.tif | Bin 316229 -> 340106 bytes 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Get help on ``oty`` with: From 43a330d5225dc943d9019ebf5a36241f80454bb1 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Sat, 7 Sep 2024 15:18:11 +0200 Subject: [PATCH 90/93] add debug log test --- tests/test_fit.py | 20 +++++++++++++++++--- 1 file changed, 17 insertions(+), 3 deletions(-) diff --git a/tests/test_fit.py b/tests/test_fit.py index b794129..0747181 100644 --- a/tests/test_fit.py +++ b/tests/test_fit.py @@ -15,6 +15,8 @@ from __future__ import annotations +import logging + import numpy as np import pytest from rasterio.rpc import RPC @@ -28,7 +30,8 @@ def test_refine_rpc( rpc: dict, im_size: tuple[int, int], shift: tuple[float, float], drift: tuple[float, float] ): - """Test refine_rpc() correctly refines an RPC model by testing it against refinement GCPs.""" + """Test ``refine_rpc()`` correctly refines an RPC model by testing it against refinement GCPs. + """ # create affine transform to realise shift & drift method = RpcRefine.shift if not drift else RpcRefine.shift_drift drift = (1.0, 1.0) if not drift else drift @@ -60,7 +63,7 @@ def test_refine_rpc( def test_refine_rpc_type(rpc: dict): - """Test refine_rpc() works with an RPC dict or :class:`~rasterio.rpc.RPC` object.""" + """Test ``refine_rpc()`` works with an RPC dict or :class:`~rasterio.rpc.RPC` object.""" gcp = dict( ji=(rpc['samp_off'], rpc['line_off']), xyz=(rpc['long_off'], rpc['lat_off'], rpc['height_off']), @@ -71,7 +74,7 @@ def test_refine_rpc_type(rpc: dict): @pytest.mark.parametrize('method, min_gcps', [(RpcRefine.shift, 1), (RpcRefine.shift_drift, 2)]) def test_refine_num_gcps(rpc: dict, im_size: tuple[int, int], method: RpcRefine, min_gcps: int): - """Test refine_rpc() works with the minimum allowed GCPs and raises an error otherwise.""" + """Test ``refine_rpc()`` works with the minimum allowed GCPs and raises an error otherwise.""" camera = RpcCamera(im_size, rpc) gcps = [] for i in range(min_gcps): @@ -84,3 +87,14 @@ def test_refine_num_gcps(rpc: dict, im_size: tuple[int, int], method: RpcRefine, with pytest.raises(ValueError) as ex: fit.refine_rpc(rpc, gcps[:-1], method=method) assert 'At least' in str(ex.value) + + +def test_refine_logs(rpc: dict, caplog: pytest.LogCaptureFixture): + """Test ``refine_rpc()`` debug logs.""" + gcp = dict( + ji=(rpc['samp_off'], rpc['line_off']), + xyz=(rpc['long_off'], rpc['lat_off'], rpc['height_off']), + ) + caplog.set_level(logging.DEBUG) + fit.refine_rpc(rpc, [gcp]) + assert 'Refinement transform' in caplog.text From 94cb0ac4f764fa58d33af4f6632edf38e4c92cbc Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Sat, 7 Sep 2024 20:56:03 +0200 Subject: [PATCH 91/93] revert to no log test --- tests/test_fit.py | 13 ------------- 1 file changed, 13 deletions(-) diff --git a/tests/test_fit.py b/tests/test_fit.py index 0747181..363dab9 100644 --- a/tests/test_fit.py +++ b/tests/test_fit.py @@ -15,8 +15,6 @@ from __future__ import annotations -import logging - import numpy as np import pytest from rasterio.rpc import RPC @@ -87,14 +85,3 @@ def test_refine_num_gcps(rpc: dict, im_size: tuple[int, int], method: RpcRefine, with pytest.raises(ValueError) as ex: fit.refine_rpc(rpc, gcps[:-1], method=method) assert 'At least' in str(ex.value) - - -def test_refine_logs(rpc: dict, caplog: pytest.LogCaptureFixture): - """Test ``refine_rpc()`` debug logs.""" - gcp = dict( - ji=(rpc['samp_off'], rpc['line_off']), - xyz=(rpc['long_off'], rpc['lat_off'], rpc['height_off']), - ) - caplog.set_level(logging.DEBUG) - fit.refine_rpc(rpc, [gcp]) - assert 'Refinement transform' in caplog.text From 8b9d8fc3fe5b0919c45e50e68bb40b667023ad73 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Sat, 7 Sep 2024 20:57:06 +0200 Subject: [PATCH 92/93] add fixture and test for -ve weights --- tests/test_pan_sharp.py | 46 +++++++++++++++++++++++++++++++++++++++-- 1 file changed, 44 insertions(+), 2 deletions(-) diff --git a/tests/test_pan_sharp.py b/tests/test_pan_sharp.py index 7edc546..7c1621f 100644 --- a/tests/test_pan_sharp.py +++ b/tests/test_pan_sharp.py @@ -30,7 +30,7 @@ from orthority import common from orthority.enums import Interp, Compress -from orthority.errors import OrthorityError +from orthority.errors import OrthorityError, OrthorityWarning from orthority.pan_sharp import PanSharpen from tests.conftest import create_profile @@ -76,7 +76,7 @@ def mask_ms_file(ms_file: Path, webmerc_crs: str, tmp_path_factory: pytest.TempP """Multispectral image with georeferencing and an internal mask defining a buffer of invalid pixels. """ - # read pan_file + # read ms_file with rio.open(ms_file, 'r') as src_im: src_array = src_im.read() @@ -98,6 +98,26 @@ def mask_ms_file(ms_file: Path, webmerc_crs: str, tmp_path_factory: pytest.TempP return out_file +@pytest.fixture(scope='session') +def ms_neg_band_file(ms_file: Path, tmp_path_factory: pytest.TempPathFactory) -> Path: + """Multispectral image that is ``ms_file`` with a fourth band added that is the inverse of the + first band. + """ + # read ms_file + with rio.open(ms_file, 'r') as src_im: + src_array = src_im.read(out_dtype='int16') + + # create 4 band array with 4th band as inverse of first band + out_array = np.concatenate((src_array, [src_array[0] * -1]), axis=0) + + # write to output file + out_profile = create_profile(out_array) + out_file = tmp_path_factory.mktemp('data').joinpath('ms_neg_band.tif') + with rio.open(out_file, 'w', **out_profile) as out_im: + out_im.write(out_array) + return out_file + + def test_init_profiles(pan_file: Path, ms_file: Path): """Basic test of pan / MS reprojection profiles.""" pan_sharp = PanSharpen(pan_file, ms_file) @@ -312,6 +332,28 @@ def test_weights_user(pan_file: Path, ms_file: Path, weights: tuple | None): assert np.all(params['weights'] == weights) +def test_weights_negative(pan_file: Path, ms_neg_band_file: Path): + """Test behaviour of ``PanSharpen._get_params()`` MS to pan weights estimation when estimated + weights contain negative values. + """ + pan_sharp = PanSharpen(pan_file, ms_neg_band_file) + with rio.open(ms_neg_band_file, 'r') as ms_im, rio.open(pan_file, 'r') as pan_im: + means, cov = pan_sharp._get_stats(pan_im, ms_im, 1, ms_im.indexes, {}) + + # get weights, testing a warning is raised + with pytest.warns(OrthorityWarning) as record: + params = pan_sharp._get_params(means, cov, None) + assert len(record) == 1 + assert 'Weights contain negative value(s)' in record[0].message.args[0] + + # test weight of negative band has been clipped to 0 + assert params['weights'][-1] == 0 + + # test remaining weights have been re-estimated and normalised + assert params['weights'][:-1] == pytest.approx(1 / 3, abs=0.01) + assert np.sum(params['weights']) == pytest.approx(1, abs=1e-6) + + @pytest.mark.parametrize('weights', [(1, 1, 1), (1, 2, 3)]) def test_gs_coeffs(pan_file: Path, ms_file: Path, weights: tuple): """Test ``PanSharpen._get_params()`` Gram-Schmidt coefficients against full band reference From 821395e4f5cd07ec9480d3347a35a7edc124f0c6 Mon Sep 17 00:00:00 2001 From: Dugal Harris Date: Sat, 7 Sep 2024 21:12:10 +0200 Subject: [PATCH 93/93] shutdown before getting filename --- orthority/param_io.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/orthority/param_io.py b/orthority/param_io.py index 0dbeed0..3991884 100644 --- a/orthority/param_io.py +++ b/orthority/param_io.py @@ -382,8 +382,8 @@ def _read_im_rpc_param( executor.shutdown(wait=False) raise except Exception as ex: - filename = common.get_filename(file) executor.shutdown(wait=False) + filename = common.get_filename(file) raise RuntimeError(f"Could not read RPC tags from '{filename}'.") from ex return rpc_param_dict @@ -505,8 +505,8 @@ def _read_im_gcps( executor.shutdown(wait=False) raise except Exception as ex: - filename = common.get_filename(file) executor.shutdown(wait=False) + filename = common.get_filename(file) raise RuntimeError(f"Could not read GCPs from '{filename}'.") from ex return gcp_dict @@ -1299,8 +1299,8 @@ def _read_exif( executor.shutdown(wait=False) raise except Exception as ex: - filename = common.get_filename(file) executor.shutdown(wait=False) + filename = common.get_filename(file) raise RuntimeError(f"Could not read EXIF tags from '{filename}'.") from ex exif_dict[exif_obj.filename] = exif_obj

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