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This branch is up to date with Ildaron/Laser_control:master.
7.Darknet
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1. Label https://github.com/tzutalin/labelImg pyrcc5 -o libs/resources.py resources.qrc python labelImg.py 2. Run real-time ./darknet detector demo cfg/obj.data cfg/yolov4-tiny-custom.cfg yolov4-tiny-custom_best.weights test.mp4 -benchmark ./darknet detector demo cfg/obj.data cfg/yolov4-tiny-custom.cfg yolov4-tiny-custom_best.weights "nvarguscamerasrc ! video/x-raw(memory:NVMM), width=416, height=416, format=(string)NV12, framerate=(fraction)30/1 ! nvvidconv flip-method=2 ! video/x-raw, format=(string)BGRx ! videoconvert ! video/x-raw, format=(string)BGR ! appsink" 2. 1. move to folder %cd /content/drive/MyDrive/yolov4/darknet 2. 2.Get access for folder !chmod +x ./darknet 2. 3. Start train ! ./darknet detector train data/obj.data yolov4-tiny-custom.cfg yolov4-tiny.conv.29 -dont_show -map 3. Yolo-tiny costum.cng change class from 80 to 1