Installation via environment - Githubissues

juglab / HDN

This repository hosts the code for HDN (associated with the paper https://arxiv.org/pdf/2104.01374.pdf) for pixel and structured noise removal for microscopy and natural image datasets

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Installation via environment #3

Open LorenzoScipioni opened 2 years ago

LorenzoScipioni commented 2 years ago

I tried installing via .yml but got a "ResolvePackageNotFound" error on a bunch of libraries (file attached). Here's what I did:

on the .yml link -> open this file in GitHub Desktop (the folder is cloned in my system)
Anaconda prompt -> cd "....\HDN"
conda env create -f HDN.yml
Collecting package metadata (repodata.json): done -> Solving environment: failed
Below the packages returned as not found

ResolvePackageNotFound:

libgfortran-ng==7.3.0=hdf63c60_0
lz4-c==1.9.2=heb0550a_3
zstd==1.4.5=h9ceee32_0
snappy==1.1.8=he1b5a44_3
ncurses==6.2=he6710b0_1
giflib==5.1.7=h516909a_1
openjpeg==2.3.1=h981e76c_3
libffi==3.3=he6710b0_2
mkl_random==1.1.1=py37h0573a6f_0
jpeg==9b=h024ee3a_2
python==3.7.9=h7579374_0
bzip2==1.0.8=h516909a_3
cudatoolkit==10.1.243=h6bb024c_0
freetype==2.10.4=h5ab3b9f_0
mkl-service==2.3.0=py37he8ac12f_0
pytorch==1.7.1=py3.7_cuda10.1.243_cudnn7.6.3_0
sqlite==3.33.0=h62c20be_0
libzopfli==1.0.3=he1b5a44_0
scikit-image==0.17.2=py37hdf5156a_0
ninja==1.10.2=py37hff7bd54_0
pyyaml==5.3.1=py37h7b6447c_1
libedit==3.1.20191231=h14c3975_1
pywavelets==1.1.1=py37h7b6447c_2
libgcc-ng==9.1.0=hdf63c60_0
libuv==1.40.0=h7b6447c_0
numpy==1.19.2=py37h54aff64_0
cytoolz==0.11.0=py37h7b6447c_0
mkl_fft==1.2.0=py37h23d657b_0
setuptools==51.0.0=py37h06a4308_2
pillow==8.0.1=py37he98fc37_0
openssl==1.1.1h=h7b6447c_0
libaec==1.0.4=he1b5a44_1
tk==8.6.10=hbc83047_0
ld_impl_linux-64==2.33.1=h53a641e_7
scikit-learn==0.23.2=py37h0573a6f_0
numpy-base==1.19.2=py37hfa32c7d_0
lcms2==2.11=h396b838_0
matplotlib-base==3.3.1=py37h817c723_0
blosc==1.20.1=he1b5a44_0
jxrlib==1.1=h516909a_2
zlib==1.2.11=h7b6447c_3
readline==8.0=h7b6447c_0
libpng==1.6.37=hbc83047_0
charls==2.1.0=he1b5a44_2
libtiff==4.1.0=h2733197_1
imagecodecs==2020.5.30=py37hfa7d478_2
xz==5.2.5=h7b6447c_0
scipy==1.5.2=py37h0b6359f_0
six==1.15.0=py37h06a4308_0
pip==20.3.3=py37h06a4308_0
libstdcxx-ng==9.1.0=hdf63c60_0
brotli==1.0.9=he1b5a44_3
libwebp==1.0.1=h8e7db2f_0
yaml==0.2.5=h7b6447c_0

CatEek commented 2 years ago

What OS and conda version are you using ?

STAR-811 commented 2 years ago

I met the same problem when using Windows 10 system. Can you offer some alternative methods? or can I use requirement.txt to install packages?