Koos du Preez
Koos du Preez
You have to train and inference with the same full resolution 512x512 crops from original image, yes.
you cut up the image into 512x512 squares and inference each square. if you are finding number plates, i would recommend you instead detect the number plate, extract that bounding...
> Is it possible to start training yolo with a set of parameters (width and height), stop the training, change these parameters an then continue the training ? > More...
> how can I feed that into a different network at full resolution? Well, if you have the full resolution image and you crop out the number plate as ROI,...
Well, I guess you can broach a square peg into a round hole with a huge hammer and enough force.. Why not use the right tool for the right job?...
@matteoguidi - yes, we trained on 512x512 in your case, you should train on 256x256 full resolution using a network with same 256x256x3 input size. Then during inference you can...