I want to use yolov4-csp model for inference on my dataset (people dataset). So I use yolov4-csp.cfg and yolov4-csp.weights files, but as far as I know these weights was obtained by training on 512x512 or 640x640 resolution. I see that I can run inference with changed width=1056and height=1056, but I dont know if I get more accurate detections with these options. Maybe I should run inference on 640x640 with that model (yolov4-csp.cfg and yolov4-csp.weights) ?
Hi,
I want to use yolov4-csp model for inference on my dataset (people dataset). So I use
yolov4-csp.cfg
andyolov4-csp.weights
files, but as far as I know these weights was obtained by training on 512x512 or 640x640 resolution. I see that I can run inference with changedwidth=1056
andheight=1056
, but I dont know if I get more accurate detections with these options. Maybe I should run inference on 640x640 with that model (yolov4-csp.cfg
andyolov4-csp.weights
) ?