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environment.yml
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name: VesNetRL
channels:
- pytorch
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- blas=1.0=mkl
- ca-certificates=2023.08.22=h06a4308_0
- cudatoolkit=10.1.243=h6bb024c_0
- freetype=2.12.1=h4a9f257_0
- giflib=5.2.1=h5eee18b_3
- intel-openmp=2021.4.0=h06a4308_3561
- jpeg=9e=h5eee18b_1
- lcms2=2.12=h3be6417_0
- ld_impl_linux-64=2.38=h1181459_1
- lerc=3.0=h295c915_0
- libdeflate=1.17=h5eee18b_0
- libffi=3.3=he6710b0_2
- libgcc-ng=11.2.0=h1234567_1
- libgomp=11.2.0=h1234567_1
- libpng=1.6.39=h5eee18b_0
- libstdcxx-ng=11.2.0=h1234567_1
- libtiff=4.5.1=h6a678d5_0
- libwebp=1.3.2=h11a3e52_0
- libwebp-base=1.3.2=h5eee18b_0
- lz4-c=1.9.4=h6a678d5_0
- mkl=2021.4.0=h06a4308_640
- mkl-service=2.4.0=py38h7f8727e_0
- mkl_fft=1.3.1=py38hd3c417c_0
- mkl_random=1.2.2=py38h51133e4_0
- ncurses=6.4=h6a678d5_0
- ninja=1.10.2=h06a4308_5
- ninja-base=1.10.2=hd09550d_5
- numpy-base=1.24.3=py38h31eccc5_0
- openssl=1.1.1w=h7f8727e_0
- pillow=9.4.0=py38h6a678d5_1
- pip=23.2.1=py38h06a4308_0
- python=3.8.8=hdb3f193_5
- pytorch=1.5.1=py3.8_cuda10.1.243_cudnn7.6.3_0
- readline=8.2=h5eee18b_0
- setuptools=68.0.0=py38h06a4308_0
- six=1.16.0=pyhd3eb1b0_1
- sqlite=3.41.2=h5eee18b_0
- tk=8.6.12=h1ccaba5_0
- torchvision=0.6.1=py38_cu101
- wheel=0.41.2=py38h06a4308_0
- xz=5.4.2=h5eee18b_0
- zlib=1.2.13=h5eee18b_0
- zstd=1.5.5=hc292b87_0
- pip:
- certifi==2023.7.22
- charset-normalizer==3.2.0
- contourpy==1.1.1
- cycler==0.11.0
- fonttools==4.42.1
- idna==3.4
- importlib-resources==6.1.0
- imutils==0.5.4
- joblib==1.3.2
- kiwisolver==1.4.5
- matplotlib==3.7.3
- nibabel==5.1.0
- numpy==1.22.4
- opencv-python==4.2.0.34
- packaging==23.1
- pyparsing==3.1.1
- python-dateutil==2.8.2
- requests==2.31.0
- scikit-learn==0.24.1
- scipy==1.6.2
- threadpoolctl==3.2.0
- urllib3==2.0.5
- zipp==3.17.0
prefix: /home/camp/anaconda3/envs/VesNetRL