Targetran

Latest version: v0.13.1

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0.13.1

- Default empty tuple for the `bboxes_seq` and `labels_seq` args of `to_tf` and `to_tf_dataset` functions, so that it will be a bit less cumbersome dealing with image-only cases.

0.13.0

- Drop support for Python 3.8; added support for 3.11.
- Rename `seqs_to_tf_dataset` to `to_tf_dataset`.
- Add `keras-cv` into `requirements.txt`.
- Add new functions `to_keras_cv_dict` and `to_keras_cv_model_input`.
- Update docs.

0.12.1

- Fix logic in `targetran.utils.Compose`.

0.12.0

- Add `fill_value` option for assigning value to be used to fill the out-of-boundaries regions, in the past it must be `0`
- Add `keep_order` option in `TFCombineAffine` and `CombineAffine` for ensuring the (randomly) chosen transformation steps will be executed in the provided order
- More interpolation options for image resizing
- Fix transpose bug

0.11.8

- Fixed bug that created one-pixel shift for some transformation cases
- Simplified logic in base affine transformation function

0.11.7

- Fix range check: lower limit should be inclusive, and upper limit is exclusive if its value differs from the lower one

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