bharat-b7 / RVH_Mesh_Registration

Code to fit SMPL model to scans
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About dependency #17

Closed hailsong closed 1 year ago

hailsong commented 1 year ago

Hello, I found this repository to registration my scan data to SMPL body model. To using this code, I create conda environment with attached requirement.txt file, but I got this message.

(base) root@b84ceda4246b:~/Dataset/RVH_Mesh_Registration# conda create --name rvh_env --file requirements.txt 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:

  • tqdm==4.61.2=pyhd8ed1ab_1
  • ffmpeg==4.3=hf484d3e_0
  • pytorch==1.7.1=cpu_py37hf1c21f6_2
  • libgfortran-ng==9.3.0=hff62375_19
  • llvm-openmp==12.0.1=h4bd325d_0
  • pyyaml==5.4.1=py37h5e8e339_0
  • libgcc-ng==9.3.0=h2828fa1_19
  • torchvision==0.8.2=py37h6dc5373_1_cpu
  • tabulate==0.8.9=pyhd8ed1ab_0
  • jpeg==9d=h36c2ea0_0
  • termcolor==1.1.0=py_2
  • iopath==0.1.9=py37
  • libcblas==3.9.0=8_mkl
  • mkl==2020.4=h726a3e6_304
  • portalocker==1.7.0=py37h89c1867_1
  • yacs==0.1.6=py_0
  • pytorch3d==0.4.0=py37_cu102_pyt171
  • libgomp==9.3.0=h2828fa1_19
  • fvcore==0.1.5.post20210719=py37
  • _libgcc_mutex==0.1=conda_forge
  • scikit-learn==0.24.2=py37h18a542f_0
  • libblas==3.9.0=8_mkl
  • scipy==1.7.0=py37h29e03ee_1
  • libgfortran5==9.3.0=hff62375_19
  • threadpoolctl==2.2.0=pyh8a188c0_0
  • python_abi==3.7=2_cp37m
  • libstdcxx-ng==9.3.0=h6de172a_19
  • nvidiacub==1.10.0=0
  • _openmp_mutex==4.5=1_llvm
  • yaml==0.2.5=h516909a_0
  • joblib==1.0.1=pyhd8ed1ab_0
  • mkl-service==2.3.0=py37h8f50634_2
  • liblapack==3.9.0=8_mkl
  • trimesh==3.9.23=pyh6c4a22f_0

Current channels:

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 think linux-64's channel is enough to install these packages, but I wanna check if they need additional channels. Also, I wonder, is there any specific environment setting needed to use this code? (Guessing with pytorch3d==0.4.0=py37_cu102_pyt171 .....) If specific cuda version or python version is required, I should make environment with docker.

Thank you!

Atharva-Peshkar commented 1 year ago

Same issue.

hailsong commented 1 year ago

Thank you for updating requirements file!