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I'm currently doing real time object detection with the help of pi camera using pre-defined weights of darknet and coco dataset using openCV. Currently I'm getting 0.14 fps and my video is too much laggy. is there anyway that I could increase my fps >=20 or to some value where video is not too much laggy.

I'm using raspberry pi 4 model B with 8Gb Ram.

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YoloV3 uses Darknet 53 as its backbone which is pretty heavy for a Raspberry. Maybe consider using another backbone like TinyYoloV3

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  • i need accuracy in my object detection that's why i chosed yolov3 and not yolov3 tiny
    – D3mon
    Dec 2, 2021 at 16:28
  • Well its a trade-off between accuracy and detection speed. Maybe lower the resolution of the video if you increased the input size of your Yolo algorithm.
    – ghostiek
    Dec 2, 2021 at 16:41
  • can you tell me how to lower resolution?
    – D3mon
    Dec 2, 2021 at 16:48
  • Here's some things you can do raspberrypi.stackexchange.com/questions/94698/… I've never had to lower resolution with a camera so I can't help with that sorry
    – ghostiek
    Dec 3, 2021 at 12:33
  • You could get a faster computer. A high-end mini PC would cost between $500 - $900. A tradeoff of money vs speed.
    – NomadMaker
    Aug 30, 2022 at 1:31

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