I convert my yolov3_final.weights for my own dataset to yolov3_final.h5, and I use python3 train.py for training. But the loss is also very high. It's the same as I use the darknet53.weights.
My yolov3_final.weights is the final train weight for my dataset on darknet, in darknet my cfg and weights are ok and loss is very low.
If the yolov3_final.h5 converts right, the training loss should be low too. The convert.py is download from https://github.com/qqwweee/keras-yolo3
Can you help me? Mybe I make some mistake?
I convert my yolov3_final.weights for my own dataset to yolov3_final.h5, and I use python3 train.py for training. But the loss is also very high. It's the same as I use the darknet53.weights. My yolov3_final.weights is the final train weight for my dataset on darknet, in darknet my cfg and weights are ok and loss is very low. If the yolov3_final.h5 converts right, the training loss should be low too. The convert.py is download from https://github.com/qqwweee/keras-yolo3 Can you help me? Mybe I make some mistake?