This release supports TensorFlow 1.14.x and 1.15.x as well as python 2.7 and 3.6+.
Features
* Updated `match_nodes` to return IoU directly instead of indices. (267)
* Added `get_anchor_parameters` to automatically determine feature pyramid parameters (269)
* Added new custom layer, `ConvGRU2D` (278)
* Updated `layer_test` testing routine (279)
* Travis will now tag and push a `latest-gpu` image with every release. (281)
* Speed up the pixel-wise transform (286, 295)
* Add temporal information options to the featurenets. (282)
* Improve docstrings for sphinx compatibility. (310)
* Improved data quality for cytoplasm and phase data. (318)
* Added new `model_zoo.PanopticNet` and `SemanticDataGenerator` to generalize a model for learning multiple tasks simultaneously, both regression and classification. (319)
* Added `Application` objects to easily use models with a simple API. (341)
* Simplified transform names (376).
Bugfixes
* `deepcell-tracking` has been updated to 0.2.4, which resolves some ISBI function bugs. (267)
* Updated `tf.image.resize_images` to `tf.image.resize` as the former is deprecated. (268)
* Correct upper limit for clipping boxes (277)
* Fixed broken data links and README links (292, 300, 307)
* Migrate general utility functions into a new package `deepcell-toolbox` (319).
* Fixed RetinaNet interpolation bug (357)
Breaking Changes
* Support for TensorFlow 1.10.x - 1.13.x has been dropped.
* The default `TF_VERSION` in the Dockerfile has been updated to `1.14.0-gpu`, as many users were expecting this. (281, 311)
* `MaskRCNN` has been refactored to `RetinaMask` (360).
* `/scripts` has been migrated to `/notebooks` (374).
* `deepcell.notebooks` has been removed (390).