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# Relatively static library (These libraries are comparatively stable, so the version here can be versatile, we attached the version we used in the experiments)
tqdm==4.66.1
numpy==1.26.0
torchsummary==1.5.1
opencv-python==4.8.1.78
scipy==1.11.3
omegaconf==2.3.0
fairscale==0.4.13
timm==0.9.7
pandas==2.1.1
pillow==10.0.1
requests==2.31.0
pyyaml==6.0.1
kornia==0.7.0
gradio==4.22.0
moviepy==1.0.3
# Relatively dynamic library (We think that these libraries may frequently modify their API, so it is better to use the same version as below)