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When I run this line: python hififace_inference.py --gpus 0 --model_config config/model.yaml --model_checkpoint_path hififace_opensouce_299999.ckpt --source_image_path assets\inference_samples\02_source.png --target_image_path assets\inference_samples\02_target.png --output_image_path assets\inference_samples\res22.png
the resulting image is:
What could be causing me to get a lower quality result than the published sample?
When I run this line:
python hififace_inference.py --gpus 0 --model_config config/model.yaml --model_checkpoint_path hififace_opensouce_299999.ckpt --source_image_path assets\inference_samples\02_source.png --target_image_path assets\inference_samples\02_target.png --output_image_path assets\inference_samples\res22.png
the resulting image is:
What could be causing me to get a lower quality result than the published sample?
System Info:
OS: Windows 10
(hififace) >python --version
Python 3.9.13
(hififace) >pip freeze
absl-py==1.4.0
anaconda-client==1.11.0
anaconda-navigator==2.3.1
antlr4-python3-runtime==4.9.3
appdirs==1.4.4
atomicwrites==1.4.0
backports.weakref==1.0.post1
bkcharts==0.2
brotlipy==0.7.0
chardet==3.0.4
clyent==1.2.2
comtypes==1.1.10
conda==23.1.0
conda-build==3.22.0
conda-repo-cli==1.0.27
conda-verify==3.4.2
constantly==15.1.0
cssselect==1.1.0
cytoolz==0.11.0
daal4py==2021.6.0
datashape==0.5.4
docker-pycreds==0.4.0
dominate==2.7.0
et-xmlfile==1.1.0
fonttools==4.25.0
gitdb==4.0.10
GitPython==3.1.30
google-auth-oauthlib==0.4.6
graphviz==0.8.4
grpcio==1.51.1
idna==2.6
inflection==0.5.1
kornia==0.6.9
lightning-utilities==0.6.0.post0
llvmlite==0.38.0
lpips==0.1.4
mccabe==0.6.1
mkl-fft==1.3.1
mkl-service==2.4.0
mpmath==1.2.1
munkres==1.1.4
mxnet-cu102mkl==1.7.0
mypy-extensions==0.4.3
navigator-updater==0.3.0
ninja==1.11.1
numpy==1.22.4
oauthlib==3.2.2
omegaconf==2.3.0
opencv-python==4.7.0.68
openpyxl==3.0.10
pathtools==0.1.2
patsy==0.5.2
pep8==1.7.1
Pillow==9.2.0
protobuf==4.21.12
pyasn1-modules==0.2.8
pycosat==0.6.3
pycurl==7.45.1
PyDispatcher==2.0.5
pyls-spyder==0.4.0
pytest==7.1.2
python-lsp-jsonrpc==1.0.0
pytorch-lightning==1.9.2
pywin32==302
PyYAML==6.0
queuelib==1.5.0
requests==2.28.2
requests-oauthlib==1.3.1
scikit-learn-intelex==2021.20221004.171935
scipy==1.9.1
sentry-sdk==1.15.0
setproctitle==1.3.2
sip==4.19.13
smmap==5.0.0
statsmodels==0.13.2
tables==3.6.1
TBB==0.2
tensorboard==2.12.0
tensorboard-data-server==0.7.0
tensorboard-plugin-wit==1.8.1
torch==1.13.1+cu117
torchmetrics==0.11.1
torchvision==0.14.1
trimesh==3.20.0
urllib3==1.26.14
wandb==0.13.10
webencodings==0.5.1
win-unicode-console==0.5
wincertstore==0.2
zict==2.1.0
zstandard==0.18.0
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