J. Sebastian Paez

Hello @temi92 I was having the same question a while ago, I was not able to find a solution for it but ended up hacking my way into it ......

An additional workaround is show here: https://github.com/divamgupta/image-segmentation-keras/issues/117

For what i can tell, most of the project is designed to work only on image inputs (as it is defined by a png image), so the input channels are...

I think I understand what he wants. (and I feel like I want the same thing). I think the example would be that ... if you had a 60gb json...

Im not sure if I am more impressed by the response time or the actual solution ... This is amazing! I definitely feel like this could be part of the...

@creafz Has there been any discussion in albumentations about the future of this project? I feel like "it works" for now but I am not sure if @aleju will be...

I think the author has not been active for a while in general. I am not sure if someone would be willing to maintain it in the future (if so,...

Hi there! I believe `remove_out_of_image` was removed in version 4 of the package (not 100% sure). You want to use the function `remove_out_of_image_fraction` instead https://github.com/aleju/imgaug/blob/0101108d4fed06bc5056c4a03e2bcb0216dac326/imgaug/augmentables/bbs.py#L1831 Documentation link: https://imgaug.readthedocs.io/en/latest/source/api_augmentables_bbs.html?highlight=remove_out_of_image_fraction#imgaug.augmentables.bbs.BoundingBoxesOnImage.remove_out_of_image_fraction Best, Sebastian

@gui-miotto I think this one was much better documented for starters, and included visualization apis. Albumentations does seem to be faster in my problems.

Hi again, I did something similar and what I had to do was to write a parser-writer that would convert the json to the respective objects in the package (in...