And if I have images of size 320x340, 600x400, 800x800 (for example), how would preprocessing will work? What algorithsm for upscale, downscale will be used? Also, I have bounding boxes, will TAO modify the bounding boxes also?
It says nothing about how rescale is made…I read the documentation before wrinting here… but is not complete.
Why is so hard to respond to my questions?..
If I have an image 320x400 how will Tao rescale this image to 600x600.
If I have an image 800x900 how will Tao rescale this image to 600x600. (bbox also)
You understand my question now?.. and this is not about augmentation at all…is about how TAO deals with a dataset with different sizes…
In short, it is using resizing finally to meet the output_width and output_height. But before resizing, it is really related to augmentation. TAO will check if vertical_flip/horizontal_flip/jitter/mosaic/etc are enable. If one or several of them are enabled, the image and label will do the augmentation accordingly.