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A question about training with RGB images #3
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Hi @Vandermode The input (X) should just be the normal image i.e. n2v/csbdeep/internals/train.py Line 158 in 7a950bc
It just occurred to me that our current implementation is not optimal. We mask the same pixel in all channels n2v/csbdeep/internals/train.py Lines 155 to 159 in 7a950bc
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Hi, nice work. I look at the example 2D and find you augment data with shape
N x H x W x 1
by a mask such that the final input size would beN x H x W x 2
. When it applies to RGB image, is that mean we should augment the input image size toN x H x W x 6
? Thank you in advance.The text was updated successfully, but these errors were encountered: