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Most examples of Caffe tutorial are about classification issue, not I want to use caffe to sovle regression issue, and I have some questions when I prepare data for Caffe input:
For multivariate regression with Caffe, the type of input data must be HDF5 ?
I my work, images and labels are used as training data, for classification, we often store the image path and corresponding labels into a train.txt file, then for regression,whether I should store the .jpg image into .h5 file directly,or like classification only store the image path into .h5 file?
whether the image and its labels should be store into one .h5 file or two devided .h5 files
I will be appreciated for anyone to answer my question or give me any suggestion,
and If you can provide relevant examples, It couldn't be better.
The text was updated successfully, but these errors were encountered:
Most examples of Caffe tutorial are about classification issue, not I want to use caffe to sovle regression issue, and I have some questions when I prepare data for Caffe input:
I will be appreciated for anyone to answer my question or give me any suggestion,
and If you can provide relevant examples, It couldn't be better.
The text was updated successfully, but these errors were encountered: