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Different channel shift values at different image channels #18
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The channel shift values for different image channels can be different. So it is incorrect to do a one-time randomization before calling the "apply_channel_shift" function. The changes are made according to the codes in the previous version, Keras 2.1.6.
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The channel shift values for different image channels can be different. So it is incorrect to do a one-time randomization before calling the "apply_channel_shift" function. The changes are made according to the codes in the previous version, Keras 2.1.6, i.e., randomization is done for each channel of an image.
channel_images = [ np.clip(x_channel + np.random.uniform(-intensity, intensity), min_x, max_x) for x_channel in x]A reference for using channel shift in data augmentation: https://github.com/JustinhoCHN/keras-image-data-augmentation#8-channel_shift_range