Open Uiuran opened 5 years ago
I'm not familiar with Google Colab, but I see no reason why it shouldn't work.
Regarding the minimal settings, for inference any GPU will do fine (even a laptop GPU). For training (especially for the models with a large receptive field), I would suggest at least a Pascal GPU. It also depends on whether you want to extract 2D keypoints from videos (e.g. using Detectron). If so, a Pascal GPU would be a safe bet.
I have created a Google Colab Jupyter Notebook for this. You can get it here: Google Colab Notebook - Facebook VideoPose3D Inference in the wild
Go to - https://colab.research.google.com/ click on Github Tab add the ipynb link
@Uiuran hope this helps!
@dariopavllo this should solve it! maybe I could request a pull next time.
@Justinemmerich Just wanted to thank you for your contribution. The Google Colab works like a charm
@Justinemmerich Hey, I tried running the colab notebook, but I got an error while computing 3D joints as: ImplementedError: It is not currently possible to manually set the aspect on 3D axes. Do you know anything that might have caused this error?
@immkapoor it has nothing to do with collab itself, new matplotlib is messing with setting axes as it's heavily discussed on their issues. however your issue is solved with commenting #ax.set_aspect('equal') on L91 at visualisation.py
@slava-smirnov Hi, going back to older version of matplotlib resolved the issue for me.
Hi,
I would like to know the minimal settings to run this model, maybe with a little more of training, and if it is possible to do it in Google Colab.
I will be doing this for a martial-arts group of people (Kung Fu - Aikido). However my machine sux ...
Thank you for your attention.