Hi, I am trying to implement c3dpo_nrsfm as in github to learn it. I am neither getting any extracted 3D points nor an error. It stays as below

I tried the following commands in the sequence

1. python -m visdom.server
2. python ./experiment.py --cfg_file ./cfgs/h36m.yaml

and

1. python -m visdom.server
2. python ./demo.py

thanks Mritula

Hi, I have several images of humans in .jpg format. I am trying to extract 3D poses from these images. How am I to apply c3dpo_nrsfm to my input images?

Thanks Mritula

Error info:

requests.exceptions.ConnectionError: HTTPConnectionPool(host='localhost', port=8097): Max retries exceeded with url: /events (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x000002413CA92E10>: Failed to establish a new connection: [WinError 10061] 由于目标计算机积极拒绝，无法连接。',))

While installing Dependencies from requirements.txt throwing Error So after some searching, I get to know that in order to install torch==1.1.0 we have to specifically provide "-f https://download.pytorch.org/whl/torch_stable.html" with pip command otherwise it throws errors because by default pip search for a package in https://pypi.org/simple only and torch 1.1.0 isn't available there that's why we give source URL for torch 1.1.0 separately( https://download.pytorch.org/whl/torch_stable.html ). So I added it in requirements.txt although it doesn't work. and after searching and trial&error i got this way working perfectly in installation. "pip install -r requirements.txt -f https://download.pytorch.org/whl/torch_stable.html" So I decided to update it in README.md file to save other people's time to eliminating errors in the installation. Thank you

Hey, it seems that you assumed the scale of the person is known, so if we run the model on a new dataset, and don't have human scale, we can not predict absolute 3d keypoints coordinates, right?

Hello, we are very interested in your research, but we need to download the sample file from visdom to run the program. Due to the limitation of Chinese network, visdom cannot be installed and used normally. Can you provide the static folder of visdom for us to manually replace the static file in the visdom directory. Thanks.

urllib3.exceptions.NewConnectionError: <urllib3.connection.HTTPConnection object at 0x7fb4322c4e10>: Failed to establish a new connection: [Errno 111] Connection refused

I am trying to train the model to make it work for 3D reconstruction for face. I used a 2D face landmark detector to detect 2D landmarks on face images. Then I trained the model using the same config file h36m.yaml except I set shape_basis_size=1000 as in your ICCV presentation talk slides. The training converges very fast, but when I test it, the result is not as good as seen from the image I pasted. Could you point me to how to make it work for 3D reconstruction for face? Thank you.

when set projection_type: perspective in exconfig.yaml and run demo.py but assert K is not None in def forward(self, kp_loc=None, kp_vis=None, class_mask=None, K=None, **kwargs):

While installing Dependencies from requirements.txt throwing Error

So after some searching, I get to know that in order to install torch==1.1.0 we have to specifically provide "-f https://download.pytorch.org/whl/torch_stable.html" with pip command otherwise it throws errors because by default pip search for a package in https://pypi.org/simple only and torch 1.1.0 isn't available there that's why we give source URL for torch 1.1.0 separately( https://download.pytorch.org/whl/torch_stable.html ). So I added it in requirements.txt

although it doesn't work.

and after searching and trial&error i got this way working perfectly in installation. "pip install -r requirements.txt -f https://download.pytorch.org/whl/torch_stable.html" So I decided to update it in README.md file to save other people's time to eliminating errors in the installation. Thank you

Hi, I run the demo.py but find the visualization results look totally different from the video of your project pages. (Your demo video is cooler! ) How can I draw the 3D pose just like the one on your project pages? Many thanks!

Hi, How do I visualize the results on PASCAL3D+ dataset. The models and the keypoint annotations given are with respect to 124 keypoints. However, for example for a car I wish to visualize only the valid keypoints (12 in the case of PASCAL3D+). When I try to visualize by changing the model in demo.py, it plots the invalid keypoints as well. Would really appreciate some help!