From 0265b61a1fb82714333f67c3b7fe543bc428406d Mon Sep 17 00:00:00 2001 From: Pavel Yakubovskiy Date: Sat, 26 Sep 2020 15:57:34 +0300 Subject: [PATCH] Release v0.1.1 (#263) * Update README.md * Update __version__.py * Update README.md --- README.md | 8 ++++---- segmentation_models_pytorch/__version__.py | 2 +- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 8d6d634d..4aa4ce69 100644 --- a/README.md +++ b/README.md @@ -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 @@ -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 @@ -132,7 +132,7 @@ preprocess_input = get_preprocessing_fn('resnet18', pretrained='imagenet') |timm-efficientnet-b8 |imagenet
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 diff --git a/segmentation_models_pytorch/__version__.py b/segmentation_models_pytorch/__version__.py index 73415624..1f1760fa 100644 --- a/segmentation_models_pytorch/__version__.py +++ b/segmentation_models_pytorch/__version__.py @@ -1,3 +1,3 @@ -VERSION = (0, 1, 0) +VERSION = (0, 1, 1) __version__ = '.'.join(map(str, VERSION))