Make my a training with my own images

[FrancoCapraro]

Hi, i have a pack of images and i want to make the training based on them.
I saw (as example) that the mnist.py (from BNN-PYNQ/bnn/src/training) ** import the datasets from pylearn2** (from pylearn2.datasets.mnist import MNIST), inside of this i can see :

t10k-images-idx3-ubyte
train-images-idx3-ubyte
t10k-labels-idx1-ubyte
train-labels-idx1-ubyte

So here is my question. How can i do my own "ubyte files" from my own pack of images to do the training of them?
You have some script to do that ?
Do you used pylearn2 ?(because i read that its obsolete from may of 2017)

[giuliogamba]

This is not a question related to this release, while a Machine learning question.
Nonetheless, please check here, it should help you generating your own dataset.

[FrancoCapraro]

This is not a question related to this release, while a Machine learning question.
Nonetheless, please check here, it should help you generating your own dataset.

sorry for that and thank you for your help !

[nickfraser]

Just a quick follow-up, you can also import your images as numpy arrays if you wish. If you print the dimensions of the arrays for inputs and for labels you should be able to see what's going on.

You would only need to replace those arrays with your preferred dataset. If everything is in the same order and the same size, everything should work.