Cannot convert-darknet-weights from darknet to h5 format

[vanchung1995]

I trained my own detector follow the instruction of https://github.com/AlexeyAB/darknet#how-to-train-to-detect-your-custom-objects I set my classes = 1, image width=height=384. But I cannot convert my weight to .h5 format

[migueBC]

have you been able to solve this issue? if not... I had the same problem... turns out that for some reason, yolov4 wieghts have to be placed in home directory, also you need to flag explicitly how many classes are there as shown in image, I have only one class so "-n 1" at the end...

i converted them using gpu on colab and also a vmware virtual machine with ubuntu 18/python 3.6.

edit: I used colab without gpu

[Michael-Shepherd]

have you been able to solve this issue? if not... I had the same problem... turns out that for some reason, yolov4 wieghts have to be placed in home directory, also you need to flag explicitly how many classes are there as shown in image, I have only one class so "-n 1" at the end...

i converted them using gpu on colab and also a vmware virtual machine with ubuntu 18/python 3.6.

edit: I used colab without gpu

I can confirm that adding my number of classes after the -n flag solved this problem for me.