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你好。首先很感谢你把MTCNN python化。但我在阅读你的代码的时候,我发现有句代码是PNet.blobs['data'].reshape(1,3,ws,hs); 正常来讲,不应该是reshape(1,3, hs, ws),请问这是什么原因导致??
The text was updated successfully, but these errors were encountered:
@B-one 你知道为什么下面这个函数中需要进行转置吗? def generateBoundingBox(map, reg, scale, t): stride = 2 cellsize = 12
'''为什么需要转置 ?? ''' map = map.T dx1 = reg[0,:,:].T dy1 = reg[1,:,:].T dx2 = reg[2,:,:].T dy2 = reg[3,:,:].T
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@B-one 我知道为什么要转置了,就是因为之前reshape(channels,w,h),所以画图的时候要转置过来;但是我尝试着直接reshape(channels,h,w)将图片送进网络的话,虽然还能够识别,但对于某些图片,准确率没有reshape(channels,w,h)高,你知道原因吗
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你好。首先很感谢你把MTCNN python化。但我在阅读你的代码的时候,我发现有句代码是PNet.blobs['data'].reshape(1,3,ws,hs); 正常来讲,不应该是reshape(1,3, hs, ws),请问这是什么原因导致??
The text was updated successfully, but these errors were encountered: