Finalize paper submission

* Delete old readme on intermediate results
* Regenerate WFLW and LaPa extensions with pseudolabels from networks of the 300W-LP reproduction case.
  Same results as before for base case trained on these new datasets.
* Delete requirements.txt (See readme.md instead)
* Filter small images in WFLW expansion
* Collage function in vis notebook and more visu config options
* The stupid head-roi extension base on landmarks must go away
* Add blurpool toggle to resnet variant
* Workaround for failing data loader
* Readme update
* For 300W-LP preprocessing: Add option to reconstruct the bbox around the full face section.

license.md

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+# This work
+
+## Software
+
+This software, is published under the ISC license.
+
+Copyright 2021-2024 Michael Welter
+
+Permission to use, copy, modify, and/or distribute this software for any purpose with or without fee is hereby granted, provided that the above copyright notice and this permission notice appear in all copies.
+
+THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
+
+## Datasets
+
+The extended WFLW and LaPa datasets are made available under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0 Deed): https://creativecommons.org/licenses/by-nc/4.0/
+
+
+You are free to:
+
+    Share — copy and redistribute the material in any medium or format
+    Adapt — remix, transform, and build upon the material
+    The licensor cannot revoke these freedoms as long as you follow the license terms.
+
+Under the following terms:
+
+    Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
+    NonCommercial — You may not use the material for commercial purposes .
+    No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
+
+Notices:
+
+You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
+
+No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
+
+
+# 3rd Party Reprinted Licenses
+
+## AFLW2000-3d & 300W-LP
+
+http://www.cbsr.ia.ac.cn/users/xiangyuzhu/projects/3DDFA/main.htm
+
+Cannot find licensing information
+
+# Face Synthetics
+
+https://github.com/microsoft/FaceSynthetics
+
+The Face Synthetics dataset can be used for non-commercial research. LICENSE:
+
+Research Use of Data Agreement v1.0
+
+This is the Research Use of Data Agreement, Version 1.0 (the “R-UDA”). Capitalized terms are defined in Section 5. Data Provider and you agree as follows:
+
+1. Provision of the Data
+1.1. You may use, modify, and distribute the Data made available to you by the Data Provider under this R-UDA for Research Use if you follow the R-UDA’s terms.
+1.2. Data Provider will not sue you or any Downstream Recipient for any claim arising out of the use, modification, or distribution of the Data provided you meet the terms of the R-UDA.
+1.3. This R-UDA does not restrict your use, modification, or distribution of any portions of the Data that are in the public domain or that may be used, modified, or distributed under any other legal exception or limitation.
+
+2. Restrictions
+2.1. You agree that you will use the Data solely for Computational Use for non-commercial research. This restriction means that you may engage in non-commercial research activities (including non-commercial research undertaken by or funded via a commercial entity), but you may not use the Data or any Results in any commercial offering, including as part of a product or service (or to improve any product or service) you use or provide to others.
+2.2. You may not receive money or other consideration in exchange for use or redistribution of Data.
+
+3. Redistribution of Data
+3.1. You may redistribute the Data, so long as:
+3.1.1. You include with any Data you redistribute all credit or attribution information that you received with the Data, and your terms require any Downstream Recipient to do the same; and
+3.1.2. You bind each recipient to whom you redistribute the Data to the terms of the R-UDA.
+
+4. No Warranty, Limitation of Liability
+4.1. Data Provider does not represent or warrant that it has any rights whatsoever in the Data.
+4.2. THE DATA IS PROVIDED ON AN “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, EITHER EXPRESS OR IMPLIED INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OR CONDITIONS OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE.
+4.3. NEITHER DATA PROVIDER NOR ANY UPSTREAM DATA PROVIDER SHALL HAVE ANY LIABILITY FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING WITHOUT LIMITATION LOST PROFITS), HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE DATA OR RESULTS, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.
+
+5. Definitions
+5.1. “Computational Use” means activities necessary to enable the use of Data (alone or along with other material) for analysis by a computer.
+5.2. “Data” means the material you receive under the R-UDA in modified or unmodified form, but not including Results.
+5.3. “Data Provider” means the source from which you receive the Data and with whom you enter into the R-UDA.
+5.4. “Downstream Recipient” means any person or persons who receives the Data directly or indirectly from you in accordance with the R-UDA.
+5.5. “Result” means anything that you develop or improve from your use of Data that does not include more than a de minimis portion of the Data on which the use is based. Results may include de minimis portions of the Data necessary to report on or explain use that has been conducted with the Data, such as figures in scientific papers, but do not include more. Artificial intelligence models trained on Data (and which do not include more than a de minimis portion of Data) are Results.
+5.6. “Upstream Data Providers” means the source or sources from which the Data Provider directly or indirectly received, under the terms of the R-UDA, material that is included in the Data.
+
+# WFLW
+
+https://wywu.github.io/projects/LAB/WFLW.html
+
+Cannot find licensing information
+
+# LaPa
+
+https://github.com/jd-opensource/lapa-dataset
+
+This LaPa Dataset is made freely available to academic and non-academic entities for non-commercial purposes such as academic research, teaching, scientific publications, or personal experimentation. Permission is granted to use the data given that you agree to our license terms.
+
+
+### Basel Face Model
+
+https://faces.dmi.unibas.ch/bfm/bfm2019.html
+
+The modified BFM2009 face model from datasets/bfm_noneck_v3.pkl from https://github.com/cleardusk/3DDFA_V2 is used in this project.
+
+Link to License: https://faces.dmi.unibas.ch/bfm/BFM2019_NonCommercial_License_Agreement.pdf