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dog-qiuqiu / Yolo-Fastest

: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+
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convert model to pb #40

Closed Lebhoryi closed 3 years ago

Lebhoryi commented 3 years ago

I have tried : https://github.com/Linzmin1927/DW2TF

the error:

  File "/home/lebhoryi/RT-Thread/Detection_API/Yolo-Fastest/DW2TF/util/reader.py", line 37, in walk
    assert end_point <= self.size, 'Over-read {}'.format(self.path)
AssertionError: Over-read ../Yolo-Fastest/COCO/yolo-fastest.weights

how could I do it

Lebhoryi commented 3 years ago

find it

https://github.com/david8862/keras-YOLOv3-model-set