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Merged
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Sep 26, 2020
Merged

Release v0.1.1 #263

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Update README.md
qubvel Sep 26, 2020
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Update __version__.py
qubvel Sep 26, 2020
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Update README.md
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8 changes: 4 additions & 4 deletions README.md
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Expand Up @@ -11,8 +11,8 @@ Segmentation based on [PyTorch](https://pytorch.org/).**
The main features of this library are:

- High level API (just two lines to create neural network)
- 5 models architectures for binary and multi class segmentation (including legendary Unet)
- 46 available encoders for each architecture
- 7 models architectures for binary and multi class segmentation (including legendary Unet)
- 57 available encoders for each architecture
- All encoders have pre-trained weights for faster and better convergence

### Table of content
Expand Down Expand Up @@ -68,7 +68,7 @@ preprocess_input = get_preprocessing_fn('resnet18', pretrained='imagenet')
- [FPN](http://presentations.cocodataset.org/COCO17-Stuff-FAIR.pdf)
- [PSPNet](https://arxiv.org/abs/1612.01105)
- [PAN](https://arxiv.org/abs/1805.10180)
- [DeepLabV3](https://arxiv.org/abs/1706.05587)
- [DeepLabV3](https://arxiv.org/abs/1706.05587) and [DeepLabV3+](https://arxiv.org/abs/1802.02611)

#### Encoders <a name="encoders"></a>

Expand Down Expand Up @@ -132,7 +132,7 @@ preprocess_input = get_preprocessing_fn('resnet18', pretrained='imagenet')
|timm-efficientnet-b8 |imagenet<br>advprop |84M |
|timm-efficientnet-l2 |noisy-student |474M |

\* `ssl`, `wsl` from [here](https://github.com/facebookresearch/semi-supervised-ImageNet1K-models).
\* `ssl`, `wsl` - semi-supervised and weakly-supervised learning on ImageNet ([repo](https://github.com/facebookresearch/semi-supervised-ImageNet1K-models)).

### Models API <a name="api"></a>

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2 changes: 1 addition & 1 deletion segmentation_models_pytorch/__version__.py
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@@ -1,3 +1,3 @@
VERSION = (0, 1, 0)
VERSION = (0, 1, 1)

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