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python3 object_detection.py --model yolov4-tiny.weights --config yolov4-tiny.cfg --classes coco.names --input people-detection.mp4 If a window can’t be displayed on the platform, you can save the output in a video file using –output flag:
this is my code and the error,I'm using the GitHub - WongKinYiu/PyTorch_YOLOv4: PyTorch implementation of YOLOv4 repository eooz (wuyu) September 12, 2021, 11:29pm #8
Now that we have everything set up, we need to only invoke one command to kick off training on our custom data. !python train.py --img 416 --batch 16 --epochs 50 --data '../data.yaml' --cfg ./models/yolov4-csp.yaml --weights '' --name yolov4-csp-results --cache. The following options are possible: - img: define input image size - batch ...
Create the YOLO v4 object detector by using the yolov4ObjectDetector function. specify the name of the pretrained YOLO v4 detection network trained on COCO dataset. Specify the cl
This video titled "Object Detection using YOLOv4 PRETRAINED Weights | Install YOLOv4 WINDOWS" explains detailed steps to download and install darknet's yol...