Playing around with TLT v3, and it’s very promising so far!
One thing that is confusing me is how to generate random crops with the Augmentation Module. I am trying to modify the Faster RCNN and DetectNet_v2 default specs.
Let’s say I have many images of size 1920x1080, but I want to train on random 512x512 crops of the original images. What is being cropped if I set
preprocessing.output_image_width and height to 512? Is it just taking a center crop every time? Would I be able to get the behavior I need by adjusting
spatial_augmentation.translate_max_x and y to be 1920/2 and 1080/2 respectively?