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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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先验框问题 #24

Open Larry-Zheng opened 3 years ago

Larry-Zheng commented 3 years ago

老哥 你两个先验框size是多少哇

ziyaxuanyi commented 3 years ago

看cfg文件yolo的anchor就是，他用了6个先验框。先验框是在数据集上kmeans出来的，如果要训练自己的数据集，最好用自己的数据集kmeans出来，这样效果会比较好。