:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+
hello, when i prepare training with a generated pretrained model, and follow darknet yolov3 configure. the total loss is large big because of class_loss is very high ,even to 340+. how can i sovle this problem? ths
hello, when i prepare training with a generated pretrained model, and follow darknet yolov3 configure. the total loss is large big because of class_loss is very high ,even to 340+. how can i sovle this problem? ths