I use the yolov3 training a model to detect the traffic light, as we can see ,the detection target is very small relative to the whole images and there are few object from 1 to 3 in every images.
when i convert the model to float32, it performs well, however, the performance drops a lot with int8.
I also use another model to test and find that when with small and few target in images, the int8 model performs not well but performs well with big and not a few target.
anyone face the same problem? and what’s the reason, how to resolve it