The primary aim is to make it simple to program the drone’s movement while feeding video frames to CUDA programs like face and object detection, without falling behind the live video stream.
Built and tested with the Tello EDU drone and a 2GB Jetson Nano.
Free for non-commercial use (LGPL).
Here’s an example - take off, look around and look for faces:
#!/usr/bin/env python3 import asyncio import jetson.inference from jetson_tello import run_jetson_tello_app face_detector = jetson.inference.detectNet("facenet", threshold=0.5) def detect_faces(drone, frame, cuda): face_detections = face_detector.Detect(cuda) for d in face_detections: print(d) async def fly(drone): await drone.takeoff() for i in range(4): await drone.turn_clockwise(90) await asyncio.sleep(3) await drone.land() run_jetson_tello_app(fly, process_frame=detect_faces)