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In the code, noise image feature is load from file. how can i generate the noise image feature?
In the paper, said generate from a uniform distribution from 0 to 3, why 0 and 3, How get the two value? and Why use a uniform?
Can you show me some code about these?
The text was updated successfully, but these errors were encountered:
Maybe you can search on google with "How to create random value tensor in PyTorch?"
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I know some about noise_img_feat = np.random.uniform(0, 3, img_feat_shape)
noise_img_feat = np.random.uniform(0, 3, img_feat_shape)
But, I do not konw Why uniform and Why 0 ~ 3?
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In the code, noise image feature is load from file.
how can i generate the noise image feature?
In the paper, said generate from a uniform distribution from 0 to 3, why 0 and 3, How get the two value? and Why use a uniform?
Can you show me some code about these?
The text was updated successfully, but these errors were encountered: