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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转换问题

wenbin-hhhhh opened this issue · comments

大佬您好,我想把yolo-fastest的.weights模型转换为.h5部署,使用yolov3.weights的转换文件修改网络文件之后转换报错。请问该如何解决?
File "convert.py", line 263, in
_main(parser.parse_args())
File "convert.py", line 143, in _main
buffer=weights_file.read(weights_size*4))
TypeError: buffer is too small for requested array