the data numbers in the test_list.txt is incorrect, Have you modified the original dataset?

python eval.py --path /home/u20/HPE/TriHorn-Net/TriHorn-Net-main/icvl_experiment/checkpoints ICVL dataset will be used Traceback (most recent call last): File "/home/u20/HPE/TriHorn-Net/TriHorn-Net-main/eval.py", line 143, in <module> test_set=ICVLHandPoseDataset(train=False,basepath=os.environ.get('ICVL_PATH'),center_refined=args.center_refined) File "/home/u20/HPE/TriHorn-Net/TriHorn-Net-main/dataloader.py", line 494, in __init__ address=os.path.join(basepath,"%s.pickle"%(self.seqName)) File "/home/u20/anaconda3/envs/trident/lib/python3.9/posixpath.py", line 76, in join a = os.fspath(a) TypeError: expected str, bytes or os.PathLike object, not NoneType

What is the way around to solve this?

Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): / WARNING conda.models.version:get_matcher(535): Using .* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 1.8.0., but conda is ignoring the . and treating it as 1.8.0
WARNING conda.models.version:get_matcher(535): Using .* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 1.9.0., but conda is ignoring the . and treating it as 1.9.0
WARNING conda.models.version:get_matcher(535): Using .* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 1.6.0., but conda is ignoring the . and treati
ng it as 1.6.0 done
Solving environment: failed

PackagesNotFoundError: The following packages are not available from current channels:

• docker-pycreds==0.4.0=pypi_0
• pycryptodomex==3.10.1=pypi_0
• async-generator==1.10=pypi_0
• construct==2.10.54=pypi_0
• filelock==3.3.0=pypi_0
• wsproto==1.0.0=pypi_0
• packaging==21.0=pypi_0
• pycparser==2.20=pypi_0
• versioneer==0.20=pypi_0
• lxml==4.6.3=pypi_0
• torchnet==0.0.4=pypi_0
• uritemplate==3.0.1=pypi_0
• click==8.0.3=pypi_0
• websocket-client==1.2.1=pypi_0
• yaspin==2.1.0=pypi_0
• requests-oauthlib==1.3.0=pypi_0
• attrs==21.4.0=pypi_0
• configparser==5.0.2=pypi_0
• opencv-python==4.5.3.56=pypi_0
• smmap==5.0.0=pypi_0
• subprocess32==3.5.4=pypi_0
• deepspeed==0.5.4=pypi_0
• visdom==0.1.8.9=pypi_0
• tensorboard==2.7.0=pypi_0
• sentry-sdk==1.4.3=pypi_0
• cffi==1.14.6=pypi_0
• sortedcontainers==2.4.0=pypi_0
• rsa==4.7.2=pypi_0
• tensorboard-plugin-wit==1.8.0=pypi_0
• oauth2client==4.1.3=pypi_0
• selenium==4.1.0=pypi_0
• torchaudio==0.9.0=py39
• jsonpointer==2.2=pypi_0
• gitdb==4.0.9=pypi_0
• secretstorage==3.2.0=pypi_0
• triton==1.1.0=pypi_0
• future==0.18.2=pypi_0
• werkzeug==2.0.2=pypi_0
• ninja==1.10.2.2=pypi_0
• pykeepass==4.0.1=pypi_0
• ffmpeg==4.3=hf484d3e_0
• sniffio==1.2.0=pypi_0
• pyopenssl==21.0.0=pypi_0
• outcome==1.1.0=pypi_0
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• argparse==1.4.0=pypi_0
• torchfile==0.1.0=pypi_0
• charset-normalizer==2.0.5=pypi_0
• jsonpatch==1.32=pypi_0
• trio-websocket==0.9.2=pypi_0
• gdrive==0.0.8=pypi_0
• shortuuid==1.0.1=pypi_0
• protobuf==3.17.3=pypi_0
• cryptography==3.4.8=pypi_0
• pysimplegui==4.47.0=pypi_0
• argon2-cffi==21.1.0=pypi_0
• pydrive==1.3.1=pypi_0
• tensorboardx==1.8=pypi_0
• cachetools==4.2.2=pypi_0
• trio==0.19.0=pypi_0
• cudatoolkit==11.1.74=h6bb024c_0
• pyperclip==1.8.2=pypi_0
• pytz==2021.1=pypi_0
• threadpoolctl==3.0.0=pypi_0
• requests==2.26.0=pypi_0
• urllib3==1.26.6=pypi_0
• gitpython==3.1.24=pypi_0
• oauthlib==3.1.1=pypi_0
• pathtools==0.1.2=pypi_0
• absl-py==0.15.0=pypi_0
• tqdm==4.62.2=pypi_0
• pytorch==1.9.0=py3.9_cuda11.1_cudnn8.0.5_0
• tensorboard-data-server==0.6.1=pypi_0
• pyyaml==5.4.1=pypi_0
• setuptools==56.0.0=pypi_0
• markdown==3.3.4=pypi_0
• progressbar==2.5=pypi_0
• termcolor==1.1.0=pypi_0
• tabulate==0.8.9=pypi_0
• pyasn1-modules==0.2.8=pypi_0
• scikit-learn==1.0.1=pypi_0
• pyasn1==0.4.8=pypi_0
• torchvision==0.10.0=py39_cu111
• wheel==0.32.3=pypi_0
• psutil==5.8.0=pypi_0

Current channels:

• https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64
• https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/noarch
• https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r/linux-64
• https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r/noarch
• https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2/linux-64
• https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2/noarch
• https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64
• https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/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.

HI,

Could you provide pretrained models？

The training result on the NYU dataset is 7.98, which does not achieve the effect in the paper.

In the README.md file, there is mentioned of keeping both test.pickle and train.pickle in one folder which will serve as the ICVL dataset folder. I can not figure from out where I can download train.pickle file.

Hello @mrezaei92 I am currently looking through all the files for the right classes and functions to use the hand pose estimator on a video stream, but I have not found them yet. I would appreciate if you could give me an example or point to the right classes and functions.
Thank you in advance.

I want to call draw_pose to visualize the resultant graph, where do I call this function? How to call it? Thank you for your help.

FileNotFoundError: [Errno 2] No such file or directory: '/home/bode.wu/datasets/msra_hand/P2/MP/000414_depth.bin'
How to load the MSRA dataset to fix the problem? thank you