Detection and Tracking Drone Using OpenMV H7 Plus

Hi, I am beginner with object detection and have little knowledge in coding. I plan to do detection and tracking a drone using OpenMV H7 Plus. I also bought OpenMV Pan Tilt from Singtown. What first I need to do? Do I need to use tensorflow lite or edge impulse. Because I am still confuse when to use it. How many pictures of drone do I need to train the model? For the movement of servo for tracking, do I need to change the code that given in the example in OpenMV IDE?

Hope you can give me some ideas to do my project. Thanks for your help.

Hi, what you are tracking? A drone? Typically, the FOMO model which you want to use for this needs about 100 images from the camera of the drone.

See this: FOMO: Object detection for constrained devices | Edge Impulse Documentation

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Hi, I have another question. Can I use a pre-trained model Yolo for object detection, then I convert to tensorflow lite?

Yes, but, it’s going to run at like 0.1FPS on the H7 Plus. Next gen systems will hit 30+ FPS.

Thanks for reply. Which Yolo Version did you mean? Is it YOLOv2,YOLOv3-tiny or Yolo 11. Then, which pre-trained model you recommend for me to use that suitable with H7 Plus?

We have post processing code available for YOLOV2. However, any of them will run onboard as long as the model is quantized.