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在例子中看到, const float mean_vals[3] = {104.f, 117.f, 123.f}; in.substract_mean_normalize(mean_vals, 0); 对于caffe中的xxx_mean.npy 该怎么处理? 将数据读出来,放到一段float 的buffer中,然后调 substract_mean_normalize ?
The text was updated successfully, but these errors were encountered:
mean blob 方式的 substract_mean_normalize 没有支持,需要自己实现减均值... 因为手机上对模型大小也挺苛刻的,通常建议用 mean value 代替 mean blob
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在例子中看到,
const float mean_vals[3] = {104.f, 117.f, 123.f};
in.substract_mean_normalize(mean_vals, 0);
对于caffe中的xxx_mean.npy 该怎么处理?
将数据读出来,放到一段float 的buffer中,然后调 substract_mean_normalize ?
The text was updated successfully, but these errors were encountered: