Basic video object detection using OpenCV and a tiny yolo network.

• Numpy
• OpenCV

pip install numpy opencv-python

python3 detect_video.py -i ./video_file.mp4 -s 
or
 python3 detect_video.py -i ./video_file.mp4 -s -c ./cfg/tiny-yolov4.cfg -w ./cfg/yolov4-tiny.weights -o video_det 

Options:

• -i : input file or stream eg. "video_file.mp4" or "192.1.20.4/live"
• -s : display opencv window with detections/tracks
• -w : yolo weights file path eg. ./cfg/tiny-yolov4.cfg
• -c : yolo configs file path eg. ./cfg/yolov4-tiny.weights
• -o : video output filename, saves the file to ./output folder

Class names can be found in './cfg/coco.names'