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OrbitMe & FollowMe video (Artificial Vision Tello SDK advanced autopilot)

pgminin

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I combine some of my OrbitMe & FollowMe advanced (artificial vision) autopilot implementations in Tello SDK to explore Tello video making possibilities in various conditions: indoor/outdoor, wind intensity variations, direct sunlight at dawn/sunset, dress colors vs background, obstacles like trees etc. etc.
While exploring I develop new autopilot mode or I just tune better some parameters so I hope the video quality will increase and so I also appreciate very much your suggestions and encouragements.

So let's go:

 

Enfors

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Wow, that's very interesting and very impressive. Are you using OpenCV? Or what do you use to classify and track objects?
 

pgminin

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Wow, that's very interesting and very impressive. Are you using OpenCV? Or what do you use to classify and track objects?
Yes, I do use OpenCV!!. I built my code upon damiafuentes python wrapper (DJITelloPy: A new python wrapper for Tello) using yolov3 as object detection framework. I developed my own State Machine and Proportional Derivative and Integral Controller for automode selection and person tracking
 
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pgminin

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Tello, some friends, Computer Vision & Basketball
Automode (Tello SDK): Spotlight baricenter
Tello autotracks players' positions horizontal baricenter (magenta circle)

 
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