set the pipeline locally without using GPU

[Jonathan Cheng]

Hello,
I am trying to run the pipeline locally, but since I do not have a desktop with a GPU, I used the TensorFlow CPU (version 2.17.0) instead. However, I encountered a DLL load failure error when importing TensorFlow. Additionally, I tried using Google Colab to run the pipeline, but ran into some version conflicts.

Has anyone successfully set up the pipeline locally using CPU TensorFlow or on Google Colab? Or do I need to consider purchasing a GPU to ensure the program works?

Thank you

[Matt Petrucci]

Hi Yu-Chen,

If you have already collected data in OpenCap, it would be easier to run the reprocessSession.py code. If you are trying to run the rest of the pipeline without reprocessing the pose estmation, you could skip it by setting it to false here: https://github.com/stanfordnmbl/opencap ... ain.py#L80.

Hope this helps,
Matt

[Jonathan Cheng]

Hello Matt,
Thank you for your reply.
Currently I have done all the installation process in a desktop with GPU, and the installation looks good.
I am wondering what should be my next step to test whether it can be used locally?(should I first upload some videos in OpenCap or what)

Thank you!

[Matt Petrucci]

Hi Yu-Chen,

See the steps in the readme here: https://github.com/stanfordnmbl/opencap ... popencapai

You can either use your own session or reproduce the paper results to test your pipeline.

Hope this helps,
Matt