search

cschenxiang / NeRD-Rain

Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining (CVPR 2024)
160 stars 10 forks source link

Problem of requirements #7

Open jole878788 opened 5 days ago

jole878788 commented 5 days ago

Your requirements should like this:

absl-py==2.0.0
cachetools==5.3.1
certifi==2022.12.7
charset-normalizer==2.1.1
contourpy==1.1.1
cycler==0.12.1
einops==0.7.0
filelock==3.9.0
fonttools==4.43.1
fsspec==2023.4.0
google-auth==2.23.3
google-auth-oauthlib==1.0.0
grpcio==1.59.0
h5py==3.10.0
idna==3.4
imageio==2.31.5
importlib-metadata==6.8.0
importlib-resources==6.1.0
Jinja2==3.1.2
joblib==1.3.2
kiwisolver==1.4.5
kornia==0.7.0
lazy_loader==0.3
Markdown==3.5
MarkupSafe==2.1.2
matplotlib==3.7.3
mpmath==1.3.0
natsort==8.4.0
networkx==3.0
numpy==1.24.1
oauthlib==3.2.2
opencv-python==4.8.1.78
packaging==23.2
Pillow==9.3.0
pip==23.2.1
protobuf==4.24.4
ptflops==0.7
pyasn1==0.5.0
pyasn1-modules==0.3.0
pyparsing==3.1.1
python-dateutil==2.8.2
PyWavelets==1.4.1
PyYAML==6.0.1
requests==2.28.1
requests-oauthlib==1.3.1
rsa==4.9
scikit-image==0.21.0
scipy==1.10.1
setuptools==68.0.0
six==1.16.0
sympy==1.12
tensorboard==2.14.0
tensorboard-data-server==0.7.1
tifffile==2023.7.10
torch==2.1.0+cu118
torchaudio==2.1.0+cu118
torchvision==0.16.0+cu118
tqdm==4.66.1
triton==2.1.0
typing_extensions==4.4.0
urllib3==1.26.13
warmup-scheduler==0.3
Werkzeug==3.0.0
wheel==0.41.2
yacs==0.1.8
zipp==3.17.0
cschenxiang commented 3 days ago

Your requirements should like this:

absl-py==2.0.0
cachetools==5.3.1
certifi==2022.12.7
charset-normalizer==2.1.1
contourpy==1.1.1
cycler==0.12.1
einops==0.7.0
filelock==3.9.0
fonttools==4.43.1
fsspec==2023.4.0
google-auth==2.23.3
google-auth-oauthlib==1.0.0
grpcio==1.59.0
h5py==3.10.0
idna==3.4
imageio==2.31.5
importlib-metadata==6.8.0
importlib-resources==6.1.0
Jinja2==3.1.2
joblib==1.3.2
kiwisolver==1.4.5
kornia==0.7.0
lazy_loader==0.3
Markdown==3.5
MarkupSafe==2.1.2
matplotlib==3.7.3
mpmath==1.3.0
natsort==8.4.0
networkx==3.0
numpy==1.24.1
oauthlib==3.2.2
opencv-python==4.8.1.78
packaging==23.2
Pillow==9.3.0
pip==23.2.1
protobuf==4.24.4
ptflops==0.7
pyasn1==0.5.0
pyasn1-modules==0.3.0
pyparsing==3.1.1
python-dateutil==2.8.2
PyWavelets==1.4.1
PyYAML==6.0.1
requests==2.28.1
requests-oauthlib==1.3.1
rsa==4.9
scikit-image==0.21.0
scipy==1.10.1
setuptools==68.0.0
six==1.16.0
sympy==1.12
tensorboard==2.14.0
tensorboard-data-server==0.7.1
tifffile==2023.7.10
torch==2.1.0+cu118
torchaudio==2.1.0+cu118
torchvision==0.16.0+cu118
tqdm==4.66.1
triton==2.1.0
typing_extensions==4.4.0
urllib3==1.26.13
warmup-scheduler==0.3
Werkzeug==3.0.0
wheel==0.41.2
yacs==0.1.8
zipp==3.17.0

Thanks~