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RMAC implementation in Keras

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when i load weight vgg16 , it happend issue "Dimension 0 in both shapes must be equal, but are 344064 and 25088"

I have tried that loading VGG16 weight only at the beginning of program, and every time after executing ,I'll delete the loading image. But it still memory leak, how can...

def rmac_regions(W, H, L):#这里L使用的是3 #w=32,h=21 ovr = 0.4 # desired overlap of neighboring regions steps = np.array([2, 3, 4, 5, 6, 7], dtype=np.float) # possible regions for the long dimension...

The region array calculated by rmac_regions seems to be [x, y, w, h], but actually, it is used as [x, y, h, w] in RoiPooling...