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[Feat] torch implementation of opencv drawing functions

See original GitHub issue

🚀 Feature

I would like to have an equivalent of the opencv drawing functions implemented in torch. The reason for that is simply that I do not want to detach all tensors and iterate over the batch to apply some visualisation.

Motivation

I want to the able to just apply the same opencv functionality to torch tensors as I normally do to 2d images.

Pitch

Just sit down and implement those functions under kornia.cv2.drawing. I could get started with the simple ones, (if desired) and make a PR.

Alternatives

Haven’t found any, yet.

Additional context

https://docs.opencv.org/2.4/modules/core/doc/drawing_functions.html

Issue Analytics

State:
Created 3 years ago
Comments:16 (10 by maintainers)

Top GitHub Comments

1reaction

edgarribacommented, Oct 21, 2020

@edgarriba yes, N boxes per batch. As for in place or not, I don’t have a strong opinion on that but I believe that since the intention for now is to not use it for backprop we can do it in that way.

0reactions

edgarribacommented, Apr 3, 2021

closing and continue here https://github.com/kornia/kornia/issues/936

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