I executed this command: python training/run_demo.py --gpu 0 --init_ckpt CPF_checkpoints/picr/fhb/checkpoint_200.pth.tar --honet_mano_fhb_hand

So, I moved assets/mano folder to the path CPF/manopth/mano/webuser/ But, I am still getting the error

Could you tell me which version of Anaconda to use please? I am getting the below error:

neptune:/s/red/a/nobackup/vision/anju/CPF$ conda env create -f environment.yaml Collecting package metadata (repodata.json): done Solving environment: done

==> WARNING: A newer version of conda exists. <== current version: 4.9.2 latest version: 4.10.1

Please update conda by running

$ conda update -n base -c defaults conda

Preparing transaction: done Verifying transaction: done Executing transaction: done Installing pip dependencies: | Ran pip subprocess with arguments: ['/s/chopin/a/grad/anju/.conda/envs/cpf/bin/python', '-m', 'pip', 'install', '-U', '-r', '/s/red/a/nobackup/vision/anju/CPF/condaenv.agtpjn0v.requirements.txt'] Pip subprocess output: Collecting git+https://github.com/utiasSTARS/liegroups.git (from -r /s/red/a/nobackup/vision/anju/CPF/condaenv.agtpjn0v.requirements.txt (line 1)) Cloning https://github.com/utiasSTARS/liegroups.git to /tmp/pip-req-build-ey_prxpa Obtaining file:///s/red/a/nobackup/vision/anju/CPF/manopth (from -r /s/red/a/nobackup/vision/anju/CPF/condaenv.agtpjn0v.requirements.txt (line 12)) Obtaining file:///s/red/a/nobackup/vision/anju/CPF (from -r /s/red/a/nobackup/vision/anju/CPF/condaenv.agtpjn0v.requirements.txt (line 13)) Collecting trimesh==3.8.10 Using cached trimesh-3.8.10-py3-none-any.whl (625 kB) Collecting open3d==0.10.0.0 Using cached open3d-0.10.0.0-cp38-cp38-manylinux1_x86_64.whl (4.7 MB) Collecting pyrender==0.1.43 Using cached pyrender-0.1.43-py3-none-any.whl (1.2 MB) Collecting scikit-learn==0.23.2 Using cached scikit_learn-0.23.2-cp38-cp38-manylinux1_x86_64.whl (6.8 MB) Collecting chumpy==0.69 Using cached chumpy-0.69.tar.gz (50 kB)

Pip subprocess error: Running command git clone -q https://github.com/utiasSTARS/liegroups.git /tmp/pip-req-build-ey_prxpa ERROR: Command errored out with exit status 1: command: /s/chopin/a/grad/anju/.conda/envs/cpf/bin/python -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-hnf78qhk/chumpy/setup.py'"'"'; file='"'"'/tmp/pip-install-hnf78qhk/chumpy/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(file);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' egg_info --egg-base /tmp/pip-pip-egg-info-k7bp5gq7 cwd: /tmp/pip-install-hnf78qhk/chumpy/ Complete output (7 lines): Traceback (most recent call last): File "", line 1, in File "/tmp/pip-install-hnf78qhk/chumpy/setup.py", line 15, in install_requires = [str(ir.req) for ir in install_reqs] File "/tmp/pip-install-hnf78qhk/chumpy/setup.py", line 15, in install_requires = [str(ir.req) for ir in install_reqs] AttributeError: 'ParsedRequirement' object has no attribute 'req' ---------------------------------------- ERROR: Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.

failed

CondaEnvException: Pip failed

Thanks a lot for your great work! I have a question: Since you only use the MANO_RIGHT.pkl, it seems that CPF currently can only construct right hand model, right? What is needed to be modified to use CPF on both hands? Thanks!

Hi,

I get the below error when executing the command "conda env create -f environment.yaml"

CondaError: Downloaded bytes did not match Content-Length url: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/linux-64/pytorch-1.6.0-py3.8_cuda10.2.89_cudnn7.6.5_0.tar.bz2 target_path: /home/anju/anaconda3/pkgs/pytorch-1.6.0-py3.8_cuda10.2.89_cudnn7.6.5_0.tar.bz2 Content-Length: 564734769 downloaded bytes: 221675180

In the contacthead.py, the three decoders have different input dimension. self.vertex_contact_decoder = PointNetDecodeModule(self._concat_feat_dim, 1) self.contact_region_decoder = PointNetDecodeModule(self._concat_feat_dim + 1, self.n_region) self.anchor_elasti_decoder = PointNetDecodeModule(self._concat_feat_dim + 17, self.n_anchor)

I am wondering if this part is used to predict selected anchor points within each subregion.

The classification of subregions is obtained by contact_region_decoder and then the anchor points are predicted by anchor_elasti_decoder, is it right ?

I am a little bit confused about it, because according to the paper, Anchor Elasticity (AE) represents the elasticities of the attractive springs. But in the code, the output of anchor_elasti_decoder has no relation to the elasticity parameter, I'm wondering if there's some part I've missed.

Sorry for any trouble caused and thanks for your help!

I notice that there are hand_pose_axisang_adapt_np and hand_pose_axisang_np in your code. Could you please explain what's the difference between them?

Hi !

I just read through your paper, congratulation on the great work ! I love the fact that you provide an anatomically-constrained MANO, and the per-object-vertex hand part affinity.

I look forward to the code realease :)

Do you have a planned date in mind ?

All the best,

Yana