I am going to use multiprocessing to do my training.
When learning, I want to train using various image sizes and batch sizes.
For example, when the image size is 512x512, the batch size is 4, when the image size is 256x256, the batch size is 8, and when the image size is 128x128, the batch size is 16.
I want to be able to train the image size dynamically in 512x512, 256x256, 128x128, etc. during the learning process.
For example, you could create a dataloader for each image size and put it in a list, and use multiprocessing.
This is just my idea and I don’t know what to do specifically.
Please let me know if there is a way to dynamically use image size and batch size during training.
Please help, thank you.