datasets==2.0.0
einops==0.8.1
kornia==0.6.5
mmcls==1.0.0rc6
mmselfsup==1.0.0
natsort==8.1.0
numpy==1.23.0
opencv_contrib_python==4.10.0.84
opencv_python==4.5.4.60
opencv_python_headless==3.4.18.65
pandas==2.2.3
Pillow==9.5.0
pytorch_wavelets==1.3.0
PyYAML==6.0.2
scikit_learn==1.4.1.post1
scipy==1.15.2
timm==0.3.2
torch==1.11.0+cu113
torch_geometric==2.6.1
torchmetrics==1.4.0.post0
torchvision==0.12.0+cu113
tqdm==4.66.5
wandb==0.12.11
warmup_scheduler==0.3
