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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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To tranform caffe failed！ How can we solute the question？ #7

Open shiguoliang opened 3 years ago

shiguoliang commented 3 years ago

To tranform caffe failed！ How can we solute the question？

dog-qiuqiu commented 3 years ago

https://github.com/dog-qiuqiu/MobileNet-Yolo#darknet2caffe-tutorial