ReduNet
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fail to install requirement in win 10 or linux
run conda create --name redunet_official --file requirements.txt on win10 or github's codespace
Collecting package metadata (current_repodata.json): done
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed
PackagesNotFoundError: The following packages are not available from current channels:
- lz4-c==1.9.2=h79c402e_3
- pysocks==1.7.1=py37hecd8cb5_0
- openssl==1.1.1k=h9ed2024_0
- tornado==6.0.4=py37h1de35cc_1
- libopus==1.3.1=h1de35cc_0
- nettle==3.4.1=h3018a27_0
- brotlipy==0.7.0=py37h9ed2024_1003
- torchaudio==0.8.0=py37
- ninja==1.10.1=py37h879752b_0
- libgfortran==3.0.1=h93005f0_2
- mkl-service==2.3.0=py37hfbe908c_0
- libtiff==4.1.0=hcb84e12_1
- mkl_random==1.1.1=py37h959d312_0
- pytorch==1.8.0=py3.7_0
- libuv==1.40.0=haf1e3a3_0
- opencv-python==4.4.0.44=pypi_0
- lame==3.100=h1de35cc_0
- scikit-learn==0.23.2=py37h959d312_0
- llvm-openmp==10.0.0=h28b9765_0
- gettext==0.19.8.1=hb0f4f8b_2
- chardet==4.0.0=py37hecd8cb5_1003
- intel-openmp==2019.4=233
- lcms2==2.11=h92f6f08_0
- bzip2==1.0.8=h1de35cc_0
- libffi==3.3=hb1e8313_2
- torchvision==0.9.0=py37_cpu
- mkl==2019.4=233
- ca-certificates==2021.1.19=hecd8cb5_1
- x264==1!157.20191217=h1de35cc_0
- libedit==3.1.20191231=h1de35cc_1
- freetype==2.10.4=ha233b18_0
- libiconv==1.16=h1de35cc_0
- pillow==8.0.0=py37h1a82f1a_0
- xz==5.2.5=h1de35cc_0
- python==3.7.9=h26836e1_0
- scipy==1.5.2=py37h912ce22_0
- tk==8.6.10=hb0a8c7a_0
- gnutls==3.6.5=h91ad68e_1002
- pandas==1.1.3=py37hb1e8313_0
- setuptools==50.3.0=py37h0dc7051_1
- gmp==6.1.2=hb37e062_1
- appnope==0.1.0=py37_0
- ncurses==6.2=h0a44026_1
- zeromq==4.3.3=hb1e8313_3
- sqlite==3.33.0=hffcf06c_0
- cffi==1.14.4=py37h2125817_0
- zstd==1.4.5=h41d2c2f_0
- numpy==1.19.1=py37h3b9f5b6_0
- libvpx==1.7.0=h378b8a2_0
- numpy-base==1.19.1=py37hcfb5961_0
- zlib==1.2.11=h1de35cc_3
- readline==8.0=h1de35cc_0
- ffmpeg==4.2.2=h97e5cf8_0
- pyzmq==19.0.2=py37hb1e8313_1
- openh264==2.1.0=hd9629dc_0
- kiwisolver==1.2.0=py37h04f5b5a_0
- libpng==1.6.37=ha441bb4_0
- jpeg==9b=he5867d9_2
- matplotlib-base==3.3.2=py37h181983e_0
- certifi==2020.12.5=py37hecd8cb5_0
- mkl_fft==1.2.0=py37hc64f4ea_0
- libsodium==1.0.18=h1de35cc_0
- cryptography==3.3.1=py37hbcfaee0_0
Current channels:
- https://repo.anaconda.com/pkgs/main/linux-64
- https://repo.anaconda.com/pkgs/main/noarch
- https://repo.anaconda.com/pkgs/r/linux-64
- https://repo.anaconda.com/pkgs/r/noarch
- https://conda.anaconda.org/conda-forge/linux-64
- https://conda.anaconda.org/conda-forge/noarch
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.```
I was installing the conda environment on my mac, which is a Linux environment. I am guessing that the packages you listed are the underlying dependencies that common packages like numpy or torch used.
This repo shouldn't depend on very niche packages. Does installing torch and numpy work?