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Description
According to what I understand, each SoliData(###.h5) is transformed into 4 channels of images.
However, in the network, it seems to be using only a single ch, which is the channel number assigned in main.lua.
As I changed the assigned ch to 0, 2, 3 in main.lua the evaluation accuracy changes to 0.66988, 0.581660, 0.581513.
Since 4 images(of channel 0~3) express a single data from SoliData, wouldn't all 4 channels be considered in training and evaluation process?
If not, I am curious about what does each channel is indicating, and whether all 4 channels were used for training the network.
Also, as implemented in ImageSeq:getImage(f) in imageseq.lua, is "datach" the number of consecutive RDI frames of the same channel that is stacked to form a part of input?
It would be a great help if you help me with the confusion made by channels.