- Passing only one channel and removing the other one in the preprocessing. Doing this way it would be more or less similiar to that of grayscale images as we have only m by n matrix.
- Making elements of other two channels zero or 255 (in case of uint8 and 1 in case of double) or some other constant value.
training a CNN with colors
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is it possible to train a neural network with single colored images ? ( blue, green, red) ? would it actually learn features?
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Srivardhan Gadila
2020 年 12 月 17 日
By single colored images I'm assuming that you are referring to single channel (red or green or blue) of RGB (Truecolor) Images. In that case, Yes you can try training your network with single channel.
As per my knowledge there would be two ways of doing so (assume RGB image of size m by n by 3):
After trying out the above, you can make use of activations to check the features your network has learned. You can also refer to Visualize Activations of a Convolutional Neural Network & Deep Learning Tuning and Visualization.
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