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Latest version: v0.12.1

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0.8.2

One can now do `ds = seqs_to_tf_dataset(images, [], [])` to get a Dataset which returns `(image, [], [])` on each iteration. This is more convenient than creating dummy `bboxes` and `labels` when working with image data only.

0.8.1

Fix getting random transform steps in `TFCombineAffine`.

0.8.0

Add support for randomly selecting only a subset of transform steps to use, with new parameters `num_selected_transforms` and `selected_probabilites` introduced to `CombineAffine` and `TFCombineAffine`.

0.7.7

Change the default probability of the random flip to 0.5

0.7.6

- Default probability of `CombineAffine` and `TFCombineAffine` is changed to 1.0
- Default probability of other random transformation classes is changed to 0.9

0.7.5

Change default values of some parameters
- random rotate angle range: (-15.0, 15.0)
- random shear angle range: (-10.0, 10.0)
- random translate height/width range: (-0.1, 0.1)
- random crop height/width range: (0.8, 0.9)

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