Automatic Retopology of full body scan with Python and automatic point detection

Hey there!

I am looking to create an automated pipeline using Python and Wrap where I take full resolution 3D scans of the human body and automatically wrap them. I haven’t used Wrap yet and am wondering if this is possible, if anyone has any tips or experience (there is an opportunity to come and work with us if you’re interested) or if there is a reccomended approach.

I understand the general process is:

[ol]- Get 2 meshes

  • Highlight matching points
  • Run the wrapping[/ol]

I also understand there might be a way to automatically perform step 2 with newer versions of wrap plus run this whole process automatically.

Please help me!!!
Tom

@Andrew Krovopuskov was super helpful in helping me streamline a solution. It would seem the answer is to set up JSON/Wrap files for each model and have the path to the model and to the points in the file so that when it is passed into Wrap, it detects and runs the node setup automatically. My solution to point detection will be to use a DNN on Tensorflow (have not built it yet). Don’t forget with the latest versions of Wrap there are facial detection nodes as well.