I would like to train a deep learning network on DIGITS but not sure how to prepare the data. The network takes a RGB image as input and gives two floating pointer number as output. I have collected training and validation samples and organized them in the following directories:
----data ----train ----images 00000.jpg 00001.jpg 00002.jpg ... ----labels 00000.txt 00001.txt 00002.txt ... ----val ----images 00000.jpg 00001.jpg 00002.jpg ... ----labels 00000.txt 00001.txt 00002.txt ...
label file xxxxx.txt are text file with two numbers in it, for example
Could anyone tell me how to go from here and create a dataset for DIGITS?