Jetson Nano跑通Yolov3

• 调用摄像头识别：​​Jetson nano之pytorch 深度学习_whujk的博客
• Yolov3系列最佳实践：​​GitHub - doubleZ0108/IDEA-Lab-Summer-Camp: ZJU IDEA Lab Summer Camp​​

核心检测命令

# 图片
./darknet detect cfg/yolov3.cfg yolov3.weights data/test.jpg

# 摄像头
./darknet detector demo cfg/coco.data cfg/yolov3.cfg yolov3.weights "nvarguscamerasrc ! video/x-raw(memory:NVMM), width=1280, height=720, format=NV12, framerate=30/1 ! nvvidconv flip-method=2 ! video/x-raw, width=1280, height=720, format=BGRx ! videoconvert ! video/x-raw, format=BGR ! appsink"

# 视频(暂时未成功)
./darknet detecte cfg/yolov3.cfg yolov3.weights -thresh 0.35 -dont_show data/test.mp4 -i 0 -out_filename results.avi

预测效果

关于帧率

视频只能达到<2 FPS

yolov3-tiny
帧率FPS: ~6

yolov4-tiny
帧率FPS：12～13