ncnn | darknet2ncnn模型转换及量化流程

darknet2ncnn

模型转换

./darknet2ncnn yolov4-tiny.cfg yolov4-tiny.weights yolov4-tiny.param yolov4-tiny.bin 1 

末尾 1 表示三个 yolo 分支合并，若为 0 表示三个 yolo 分支独立输出。

图优化

./ncnnoptimize yolov4-tiny.param yolov4-tiny.bin yolov4-tiny-opt.param yolov4-tiny-opt.bin 0 

int8 量化

（1）优化模型

./ncnnoptimize mobilenet.param mobilenet.bin mobilenet-opt.param mobilenet-opt.bin 0 

（2）创建校准表

find images/ -type f > imagelist.txt

./ncnn2table mobilenet-opt.param mobilenet-opt.bin imagelist.txt mobilenet.table mean=[104,117,123] norm=[0.017,0.017,0.017] shape=[224,224,3] pixel=BGR thread=8 method=kl

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