Targetran 0.13.2

• Fixed some NumPy 2.0 compatibility and mypy related issues. No changes to logic.

Targetran 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.

Targetran 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.

Targetran 0.12.1

• Fix logic in targetran.utils.Compose.

Targetran 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

Targetran 0.11.8

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

Targetran 0.11.7

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

Targetran 0.10.4

• Python 3.7 only
• Fix range check: lower limit should be inclusive, and upper limit is exclusive if its value differs from the lower one

Targetran 0.11.6

• Fix type annotations

Targetran 0.10.3

• Python 3.7 only
• Fix type annotations