simple_hwr/environment.yaml at master · Tahlor/simple_hwr · GitHub

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#name: hwr
channels:
  - pytorch
  - conda-forge
  - defaults
dependencies:
  - opencv>=3.4.2
  - pandas>=0.24.2
  - pip>=19.0.3
  - python>=3.7.3
  - scipy>=1.2.1
  - visdom
  - pyyaml
  - matplotlib
  - cython
  - nose
  - jupyter
  - numba
  #- scikit-learn
  #- scikit-image
  - pip:
    - drawSvg
    - easydict
    - jsonpatch
    - biopython==1.73
    - editdistance==0.5.3
    - gputil==1.4.0
    - pillow-simd>=6.0.0
    - protobuf==3.7.1
    - six==1.12.0
    - tqdm
    - tensorboardx==1.6
    - torch>=1.2.0
    - torchfile==0.1.0
    - torchvision==0.2.2.post3
    - wget
    - git+https://github.com/Tahlor/robust_loss_pytorch
    - git+https://github.com/tahlor/pydtw
    - git+ssh://git@github.com/Tahlor/pytorch-mdn
    - forbiddenfruit
    - seaborn
### INSTALL TAYLOR_DTW
# python loss_modeule/taylor_dtw/setup.py install

#prefix: /panfs/pan.fsl.byu.edu/scr/grp/fslg_hwr/env/hwr

# conda env create -f environment.yaml --name munit2
# conda env create -f environment.yaml --prefix ../env/hwr5

#git clone https://github.com/mblondel/soft-dtw.git
#     - git+https://github.com/mblondel/soft-dtw
#cd soft-dtw
#make cython
#python setup.py build
#python setup.py install