Hello,
I have a dataset of images and their corresponding .txt data files: each image has its own .txt file which contains a vector of numbers.
I would like to load the images and train them in their net (let’s call it the generator) and the txt files to another net, as vectors (let’s call their net the simulator).
The important thing here, is that the order of training matters, every image has its own vector of numbers. Meaning, if my CNN creates a new vector, the generator has to create a new image correspondingly.
Could anyone help me understand how can I load the data and use it convinently?