THERE WE GO!

9:18 AM

Yesss. Nice. You now have the cleaner research path alive: saved video TOP feeding a from-scratch OpenCV overlay, with cv_data giving you actual measured values.

The important nodes are:

• /project1/hand_poses = raw saved video
• /project1/opencv_hand_project/cv_overlay = visual debug TOP
• /project1/opencv_hand_project/cv_data = centroid / contour / fingertip-ish data

Next useful step: tune the HSV threshold so it locks onto the hand instead of face/background, then add sliders for threshold ranges so you can calibrate live instead of editing code.

Next, make it research-presentable and controllable.

1. Add live tuning controls:
   • HSV low/high sliders
   • min contour area
   • blur/kernel size
   • max hands
2. Split outputs:
   • cv_overlay: visual debug
   • cv_mask: black/white segmentation mask
   • cv_data: numeric table
   • optional CHOP output for centroid/tips
3. Improve hand selection:
   • ignore face by adding a region-of-interest crop around the hand side
   • rank contours by area + position
   • smooth centroid/tips over time
4. Make a short demo:
   • raw video
   • mask
   • contour/hull
   • extracted points
   • failure cases

I’d do step 1 now: add sliders and a cv_mask TOP so you can see exactly what OpenCV thinks is “skin.” That will make tuning much easier.