: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+
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
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