目标检测 (YOLO) 和强化学习 无人机目标跟踪

# tello-rl-yolo Tello drone implementation with YOLO and DDPG control.  This capstone project was realized in the context of the Udacity Machine Learning Nanodegree. Dataset: VOC2012 Train/val : http://pjreddie.com/media/files/VOCtrainval_11-May-2012.tar VOC2012 Test : http://pjreddie.com/media/files/VOC2012test.tar Inspired from : - Keras YOLO V3 implementation : https://github.com/experiencor/keras-yolo3 - Tello Python wrapper : https://github.com/damiafuentes/DJITelloPy - Drone tracking (DDPG) : Keras-rl / rkassana # How To # Requirements : - Python 3.X - Keras GPU - Keras-rl - OpenCV - Numpy - CUDA & NVIDA Drivers - OpenAI Gym Make sure YOLO weight file VOC.h5 is in the root folder : https://drive.google.com/open?id=15oONh_eIdz3CkHdwybZeB49rDCpE0X9A 1- Start main.py 2- Once the video is on, it will take 30 seconds for the YOLO and DDPG to initialize (model creation, loading, etc..). 3- Take off using T 4- Drone should track bounding box in screen.