Hi,i’m a novice on yolo and mxNet.
in my learning has some difficulties,and thanks for helps.
i had got the net “yolo3_darknet53_custom” from “gluoncv.model_zoo”,and trained it on my data set.
the data set i made is similar to handwriting alphabet but just A-F.
the images’ background could be a printed rectangular area,and may include some letters.
i made it 2k per letter,totally 10k pcs image,and label them.
it would be supposed to recognize more than one object.
so i choose object detection net,using the yolo net.
in my training,i get the final obj_loss=0.2.that’s try my best on adjusting parameters.
i wanna for more information to get a better result,such as to get the AP.
so,please,How can i get IOU,MAP,AP in my training script?