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Hello everyone,
I am trying to finetune my network starting from the imagenet model. As I am trying to predict multiple labels I figured out that I need to use hdf5 format file for multiple float labels. Can I still use IMAGE_DATA type for my data (text list of images) and hdf5 file for labels in this way?
Or shall I prepare a unique hdf5 file with images and labels? Although in this way how can I deal with the copies of images mirrored flipped cropped?
Thanks
Prophecies
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Apr 29, 2016, 4:54:35 PM4/29/16
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Hi, I am trying to do similar thing. Only way I can think of right now is using (a somewhat improved) pycaffe interface and use memorydata layer instead of hdf5 to generate data on the fly for each epoch. But, I would also want to do a shuffle of the image data and I am not sure how I can align the two.