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Handle grayscale images on draw_bounding_boxes #4043
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allow single-channel-images in draw_bounding_boxes
Hi @sugatoray! Thank you for your pull request and welcome to our community. Action RequiredIn order to merge any pull request (code, docs, etc.), we require contributors to sign our Contributor License Agreement, and we don't seem to have one on file for you. ProcessIn order for us to review and merge your suggested changes, please sign at https://code.facebook.com/cla. If you are contributing on behalf of someone else (eg your employer), the individual CLA may not be sufficient and your employer may need to sign the corporate CLA. Once the CLA is signed, our tooling will perform checks and validations. Afterwards, the pull request will be tagged with If you have received this in error or have any questions, please contact us at cla@fb.com. Thanks! |
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LGTM, thanks!
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ndarr = image.permute(1, 2, 0).numpy() | ||
# allow single-channel-images | ||
# shape: (1, H, W) with C = 1 |
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Isn't the shape (H, W, C) instead, since we permuted the dimensions in the line above?
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Yes, I realized the comment is not correct (only after the checks started running): it should be worded as below to avoid any confusion.
# image tensor shape: (1, H, W) with C = 1
# ndarr.shape: (H, W, C)
Thanks for the PR @sugatoray ! Would you mind following-up with a PR that fixes the comment and that adds a simple test in |
@NicolasHug To fix the bug and to avoid back and forth, I merged and then issued a follow up here #4049 |
@NicolasHug Checking back now I see that you had left a comment on adding a test. I know someone else (either you or @datumbox) had been kind enough to write it up and push the PR for merger. Thank you for that. I will make sure to add tests in future PRs (I will submit another bugfix soon). |
@sugatoray You are welcome. I have added a unit-test but you are welcome to send more PRs on the future. :) |
Refer to #4042.