I have 12000 1024512 images as dataset. Initially, I resize them to 224112, but the results are terrible. Since these images are scattering images (physics images), I think the resolution may have some information, So I decided to use large images to run the prediction model (predicting some parameters). But when I only use 10 layers networks, it run out of memory. If someone can help me solve this, I’m very thankful.
I planed to load a batch into gpu and train it, then load another batch into gpu and train. But I don’t know how to implement…