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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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Shufflenet pretrained #74

Open QiqLiang opened 5 months ago

QiqLiang commented 5 months ago

大佬你好，请问model/backbone给的预训练模型是shufflenet官方提供的吗？还是大佬自己训练的呢？如果是自己训练的话，是在哪个数据集上训练的呢，可以给一下训练配置吗？