xiexh20 / chore Goto Github PK
View Code? Open in Web Editor NEWOfficial implementation for the paper CHORE, ECCV'22
Home Page: https://virtualhumans.mpi-inf.mpg.de/chore/
Official implementation for the paper CHORE, ECCV'22
Home Page: https://virtualhumans.mpi-inf.mpg.de/chore/
Thanks for your interesting work.
I have tried to test on the BEHAVE dataset with CHORE.
But i found there is some thing wrong in the dataset.
For some frames, the joint values of k1.color.json are all 0.
For example, the frame of Date03/Date03_Sub03_backpack_back/t0029.000/k1.color.json.
Could you check the GT and give me some advice?
Hi, thanks for the great work. I am trying to run the demo but am failing since the installation process you have provided doesn't work.
When running pip install -r requirements.txt
with torch version 1.6.0, I face this error:
'''''''''''''''''''''''''''''''''''''Error'''''''''''''''''''''''''''''''''''''
Collecting git+https://github.com/facebookresearch/detectron2.git
Cloning https://github.com/facebookresearch/detectron2.git to /tmp/pip-req-build-ri2eeos8
Running command git clone --filter=blob:none --quiet https://github.com/facebookresearch/detectron2.git /tmp/pip-req-build-ri2eeos8
Resolved https://github.com/facebookresearch/detectron2.git to commit 3c7bb714795edc7a96c9a1a6dd83663ecd293e36
Preparing metadata (setup.py) ... error
error: subprocess-exited-with-error
× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> [6 lines of output]
Traceback (most recent call last):
File "", line 36, in
File "", line 34, in
File "/tmp/pip-req-build-ri2eeos8/setup.py", line 14, in
assert torch_ver >= [1, 8], "Requires PyTorch >= 1.8"
AssertionError: Requires PyTorch >= 1.8
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed
× Encountered error while generating package metadata.
╰─> See above for output.
note: This is an issue with the package mentioned above, not pip.
'''''''''''''''''''''''''''''''''''''Error'''''''''''''''''''''''''''''''''''''
How exactly did you install Detectron2? Can you provide the exact installation procedure?
Hello, I try to train on the behave dataset, but I always get an error "cuda out of memory". I would like to ask what GPU you used for training? In addition, I would like to ask that you mentioned that you also used COCO and NTU-RGBD datasets for training in your paper. Can you provide relevant training codes and NTU-RGBD datasets?
Hi.
Thanks for the great work. I'm trying to test your code on my own data. Unfortunately, I met an error when I run the demo.py, as shown below.
My environment is nvidia RTX 3090ti with cuda 11.3 and pytorch 1.10.
I am wondering whether it is a cuda version problem and if it is, can this code run on RTX 30xx device (Since RTX 3090ti could only fit cuda version 11+)?
Thank you.
@xiexh20 Thank you very much for your great work!
The python script don't work so that I can't test CHORE on BEHAVE test set as follows.
From your github,
Test on BEHAVE test set
After downloading the pretrained model, you can test one sequence from behave data with:
python recon/recon_fit_behave.py chore-release --save_name chore-release -s [path to one sequence]
I just try
python recon/recon_fit_behave.py chore-release --save_name chore-release -s /data2/BEHAVE_data/test/Date03_Sub03_backpack_back (This is my folder pass)
Then I have next results. Would you show me how to test CHORE on BEHAVE test set? Thank you very much!
configs loaded from config/chore-release.json
In total 0 test examples
Loaded checkpoint from: /home/work/CHORE/recon/../experiments/chore-release/checkpoints/checkpoint_38h:1m:33s_136893.18501019478.tar
Date03_Sub03_backpack_back: : 0it [00:00, ?it/s]
all done
Hi,
Thanks for releasing this code. It is truly a very exciting work!
I was wondering how much time it takes on average to make one estimation with your method? I run some examples on my PC, it takes me around 03:30 minutes for one image reconstruction.
Is this the same time it takes you? Any advice on how to run the optimization faster?
Thanks in advance : )
Hello,
Thank you for sharing your great work! I am very interested in your work and try to run the demo. However, I found that the contact cannot be detected. The log and results are as follows. Is this a parameter setting problem or something else? Thank you.
In your installation guide it says
We use the SMPL-H body model, please prepare it from the official website and modify SMPL_MODEL_ROOT in PATHS.yml accordingly.
However, in the Download section there are multiple archives to download (Models & Code, Extended SMPL+H Model, Scans, Registrations...).
Thank you for your support!
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