requirements.txt

pandas
seaborn
matplotlib
notebook
pyyaml>=5.4.0
easydict==1.10
pillow==9.5.0
numpy==1.21.6
TensorBoardX==2.6
tensorboard==2.11.2
setuptools==59.5.0
opencv-python==4.6.0.66
scipy==1.7.3
scikit-learn==1.0.2
scikit-image==0.19.3
einops==0.6.1
h5py==3.8.0
# The experiments in the paper were conducted with torch==1.12.1+cu113, torchvision==0.13.1+cu113,
# and a locally built mmcv-full=1.4.4 with cuda 11.8.r11.8 and gcc 11.3.0.
# In favor of an easier installation, we downgraded torch to a version with a pre-built mmcv-full.
torch==1.10.1+cu113
torchvision==0.11.2+cu113
mmcv-full==1.4.4
mmsegmentation==0.24.0
timm==0.6.5
# ftfy==6.1.1
# regex==2023.8.8
openmim==0.3.9
pycocotools==2.0.7
# clip @ git+https://github.com/openai/CLIP.git@a1d071733d7111c9c014f024669f959182114e33
-f https://download.pytorch.org/whl/torch_stable.html 
-f https://download.openmmlab.com/mmcv/dist/cu113/torch1.10.0/index.html