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trihorn-net's Issues

test of msra is error

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

draw_pose

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.

TypeError by running eval.py

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?

requirements.txt

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
  • promise==2.3=pypi_0
  • 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:

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.

ERROR when training with MSRA

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

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