Bi-Level Alignment (BLA) （CVPR 2022）

1. Install anaconda

2. Install packages

conda create --name BLA 
source activate BLA
conda install pip
conda install python==3.6.6
pip install torch-1.0.0-cp36-cp36m-linux_x86_64.whl
pip install numpy==1.19.2 six==1.15.0 pillow==8.0.1
pip install torchvision==0.2.0
pip install pandas==1.1.3 python-dateutil==2.8.1 pytz==2020.1
pip install scipy==1.5.3 opencv-python==4.4.0.44
pip install opencv-python==4.4.0.44 cycler==0.10.0 kiwisolver==1.2.0 matplotlib==3.3.2 pyparsing==2.4.7
pip install bbox==0.9.2 pyquaternion==0.9.9
pip install PyWavelets==1.1.1 decorator==4.4.2 imageio==2.9.0 networkx==2.5 scikit-image==0.17.2 tifffile==2020.9.3
pip install boxx==0.9.2.28 fn==0.4.3 pprofile==2.0.5 py-heat==0.0.6 pyopengl==3.1.5 seaborn==0.11.0 snakeviz==2.1.0 tornado==6.1
pip install cached-property==1.5.2 h5py==3.1.0

3. Model download

download MAE_99.3_SHA model from link

3. File system

- BLA
  - code
    - test.py
    - ...
  - data
    - SHA

4. run the code

bash run.sh