Converting tiny-yolov3 gives input/output error

[SlavaKeshkov]

Hello @sjain-stanford . I am trying out the new release that you made for tiny-yolov3 but facing errors during the conversion. I used your code to convert the models:

'python main.py \ --cfg 'data/yolov3-tiny.cfg' \ --weights 'data/yolov3-tiny.weights' \ --output 'data/' \ --prefix 'yolov3-tiny/' \ --gpu 0'

I used original darkflow weights file and the cfg file. However I am getting the error below.

UnknownError (see above for traceback): Failed to rename: data/yolov3-tiny.ckpt.index.tempstate5997668412469460368 to: data/yolov3-tiny.ckpt.index : Access is denied.
; Input/output error

As output I get the following files (see screenshot). I am uncertain if the conversion has been completed. Please let me know!

[albayrakonur]

did you solve the problem ? I have same one

[Robin2091]

@albayrakonur Any update? I am also experiencing the same problem.

[SlavaKeshkov]

I switched to another repo for conversion, this one: https://github.com/zzh8829/yolov3-tf2

On Thu, 9 Apr 2020, 17:03 Onur Albayrak, notifications@github.com wrote:

did you solve the problem ? I have same one

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[Robin2091]

@SlavaKeshkov Hi, did you train on darknet with a custom dataset? I also used that repo for conversion(custom dataset with 1 class) but I get worse results.

[SlavaKeshkov]

Yes trained on a custom one. Not sure why there is a difference. I had many classes though, not one. Also look into the threshold value when you convert, it could be causing the issue

On Fri, 10 Apr 2020, 18:35 Robin2091, notifications@github.com wrote:

@SlavaKeshkov https://github.com/SlavaKeshkov Hi, did you train on darknet with a custom dataset? I also used that repo for conversion(custom dataset with 1 class) but I get worse results.

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[Robin2091]

@SlavaKeshkov Thanks for the quick reply. Are you talking about the IoU threshold or the confidence threshold?

[SlavaKeshkov]

I believe the confidence one

On 10 Apr 2020, at 18:43, Robin2091 notifications@github.com wrote:

@SlavaKeshkov https://github.com/SlavaKeshkov Thanks for the quick reply. Are you talking about the IoU threshold or the confidence threshold?

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