Orlechuk Rezvan

I have the same problem, i set same accuracy = 0.2 both on darknet and yolo.py but darknet detects more objects, much more.

fixed by increasing max_boxes = 20 to 100

@kidboy-man hi, i do not remember, but i think u can search for files that match the string max_boxes = 20 

+1 for this future.

Does it allow to see one suggestion only?

@WongKinYiu Hi I would like to test _**csresnet50-elastic-panet-spp.cfg, csresnext50-yolo-spp.cfg, csresnext50-panet-spp.cfg, csresnext50-panet-spp-giou.cfg**_ on gtx1080ti What should i change in config files for `classes = 2 and width=640 height=384` Is it enough...

@WongKinYiu Thanks, what about changes in config files with different classes and network size? are there any changes that have to be made except those mentioned in @AlexeyAB docs?

@WongKinYiu Hello I have almost completed training csresnext50-panet-spp-giou.cfg. Could u provide (if you have one) elastic version of csresnext50-panet-spp[-giou], so i can test it. Thank you.

@WongKinYiu, appreciate it 👍

@WongKinYiu I've changed network size to 640x385, and classes = 2 filters = 21(in each conv. layer before yolo), random = 0 Bug i have 0 mAP. What is wrong?...