DeepLabCut- From Creating a Project to Exporting a Model

[@thegtlab]

Do you know if the extracted model can be converted to tensorflow lite model? I want to use the extracted model on an edge device like raspberry pi 4.

[@NeuroGuides]

You should you be able to convert the DLC export model. However, you should try the DLC-live with Autopilot first.
You can always reach out to DLC-Live team on their GitHub page. There are various ways to get the DLC to work with Arduino and Raspbarry Pi controllers. Kane et al., 2020 has a nice paper highlighting real-time closed-loop feedback for markerless posture tracking. Autopilot integrates DLC-live and you can use your pretrained models via Ras Pi.
Autopilot Website: docs.auto-pi-lot.com/en/latest/guide/quickstart.html
DLC-Live SDK: github.com/DeepLabCut/DeepLabCut-live
DLC-Live team's Github page: github.com/DeepLabCut/DeepLabCut-live/issues/50

[@thegtlab]

Thanks for the reply! I was able to get all the libraries installed on a raspberry pi 4 and when running inference using a normal model export I was getting less than 1 fpsand 100% cpu usage lol. I ordered a jetson nano which is a bit beefier. I will try again on that device@@NeuroGuides

[@NeuroGuides]

@@thegtlab I would love to know if you jetson nano works for you. Are you using Mobilenet or Resnet model?

[@rodrigoasdosanjos6341]

13:20 what do you mean generate the labels ? Analyze videos?

[@NeuroGuides]

Yes, I meant analyze the videos. Thank you for brining it to my attention.