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keras-team / keras

Deep Learning for humans
http://keras.io/
Apache License 2.0
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Implement transform_bounding_boxes for random_flip #20468

Closed shashaka closed 3 weeks ago

shashaka commented 3 weeks ago

I've implemented the transform_bounding_boxes method for random_flip.py. If you notice any areas that need improvement, please feel free to let me know. Thank you!

here is my gist

codecov-commenter commented 3 weeks ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Project coverage is 82.09%. Comparing base (ccb07df) to head (b7a3c58).

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #20468 +/- ## ========================================== + Coverage 82.03% 82.09% +0.05% ========================================== Files 515 515 Lines 47346 47379 +33 Branches 7427 7431 +4 ========================================== + Hits 38842 38896 +54 + Misses 6705 6682 -23 - Partials 1799 1801 +2 ``` | [Flag](https://app.codecov.io/gh/keras-team/keras/pull/20468/flags?src=pr&el=flags&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=keras-team) | Coverage Δ | | |---|---|---| | [keras](https://app.codecov.io/gh/keras-team/keras/pull/20468/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=keras-team) | `81.94% <97.05%> (+0.05%)` | :arrow_up: | | [keras-jax](https://app.codecov.io/gh/keras-team/keras/pull/20468/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=keras-team) | `65.01% <91.17%> (+0.06%)` | :arrow_up: | | [keras-numpy](https://app.codecov.io/gh/keras-team/keras/pull/20468/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=keras-team) | `59.97% <91.17%> (+0.06%)` | :arrow_up: | | [keras-tensorflow](https://app.codecov.io/gh/keras-team/keras/pull/20468/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=keras-team) | `66.04% <91.17%> (+0.06%)` | :arrow_up: | | [keras-torch](https://app.codecov.io/gh/keras-team/keras/pull/20468/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=keras-team) | `64.93% <91.17%> (+0.06%)` | :arrow_up: | Flags with carried forward coverage won't be shown. [Click here](https://docs.codecov.io/docs/carryforward-flags?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=keras-team#carryforward-flags-in-the-pull-request-comment) to find out more.

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