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Release v1.0.0 (qubvel#228)
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* Version 1.0.0
* Update requirements.txt
* Add distributions: "sdist bdist_wheel"
* Fix missing requirements.txt
* Update CHANGELOG.md
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qubvel authored Oct 15, 2019
1 parent 883adef commit 6fecc72
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3 changes: 2 additions & 1 deletion .travis.yml
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Expand Up @@ -71,4 +71,5 @@ deploy:
secure: 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
on:
tags: true
skip_existing: true
skip_existing: true
distributions: "sdist bdist_wheel"
16 changes: 16 additions & 0 deletions CHANGELOG.md
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# Change Log

**Version 1.0.0**

###### Areas of improvement
- Support for `keras` and `tf.keras`
- Losses as classes, base loss operations (sum of losses, multiplied loss)
- NCHW and NHWC support
- Removed pure tf operations to work with other keras backends
- Reduced a number of custom objects for better models serialization and deserialization

###### New featrues
- New backbones: EfficentNetB[0-7]
- New loss function: Focal loss
- New metrics: Precision, Recall

###### API changes
- `get_preprocessing` moved from `sm.backbones.get_preprocessing` to `sm.get_preprocessing`

**Version 0.2.1**

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2 changes: 1 addition & 1 deletion MANIFEST.in
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include README.md LICENSE
include README.md LICENSE requirements.txt
4 changes: 2 additions & 2 deletions requirements.txt
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keras_applications>=1.0.7,<=1.0.8
image-classifiers==1.0.0b1
efficientnet==1.0.0b3
image-classifiers==1.0.0
efficientnet==1.0.0
2 changes: 1 addition & 1 deletion segmentation_models/__version__.py
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VERSION = (1, 0, '0b1')
VERSION = (1, 0, 0)

__version__ = '.'.join(map(str, VERSION))

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