* Minor release to update Catalyst contrib modules to latest Catalyst (requires catalyst>=19.8)
0.1.3
1. Added `ignore_index` for focal loss 2. Added `ignore_index` to some metrics for Catalyst 3. Added `tif` extension for `find_images_in_dir`
0.1.1
New functionality / breaking changes * Added visualization functions to render best/worst batches for binary and semantic segmentation. * JaccardScoreCallback now is a single callback for computing IoU for binary/multiclass/multilabel segmentation. * Added HFF module (Hierarchical feature fusion). * Added `set_trainable` function to enable/disabled training and batch-norm on module and it's childs. * RLE encoding/decoding (Hi, Kaggle)
API changes * `rgb_image_from_tensor` now accepts `dtype` parameters for returned image
Bugfixes * Fixed wrong implementation of UpsampleAddConv (There was extra residual connection)
0.1.0
New stuff: 1. EfficientNet 2. Multiscale TTA module 3. New activations: Swish, HardSwish, HardSigmoid 4. AGN module (Activated Group Norm), mimicks ABN
Changes: 1. `SpatialGate2d` now accepts `squeeze_channels` for explicit number of squeeze channels.
Misc 1. Code formatting
0.0.9
* Refactoring of activation functions factory method (for upcoming model builder) * Cosmetic changes in logging
0.0.8
* Global pooling, SCSE module and MobileNetV3 encoders are not ONNX and CoreML friendly. * Refactored FPN module for more flexible `interpolate_add` tuning (can use any module with two inputs)