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Jul 11, 2024
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Rename master->main #891

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4 changes: 2 additions & 2 deletions .github/workflows/tests.yml
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Expand Up @@ -6,9 +6,9 @@ name: CI

on:
push:
branches: [ master ]
branches: [ main ]
pull_request:
branches: [ master ]
branches: [ main ]

jobs:

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12 changes: 6 additions & 6 deletions README.md
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Expand Up @@ -4,8 +4,8 @@
**Python library with Neural Networks for Image
Segmentation based on [PyTorch](https://pytorch.org/).**

[![Generic badge](https://img.shields.io/badge/License-MIT-<COLOR>.svg?style=for-the-badge)](https://github.com/qubvel/segmentation_models.pytorch/blob/master/LICENSE)
[![GitHub Workflow Status (branch)](https://img.shields.io/github/actions/workflow/status/qubvel/segmentation_models.pytorch/tests.yml?branch=master&style=for-the-badge)](https://github.com/qubvel/segmentation_models.pytorch/actions/workflows/tests.yml)
[![Generic badge](https://img.shields.io/badge/License-MIT-<COLOR>.svg?style=for-the-badge)](https://github.com/qubvel/segmentation_models.pytorch/blob/main/LICENSE)
[![GitHub Workflow Status (branch)](https://img.shields.io/github/actions/workflow/status/qubvel/segmentation_models.pytorch/tests.yml?branch=main&style=for-the-badge)](https://github.com/qubvel/segmentation_models.pytorch/actions/workflows/tests.yml)
[![Read the Docs](https://img.shields.io/readthedocs/smp?style=for-the-badge&logo=readthedocs&logoColor=white)](https://smp.readthedocs.io/en/latest/)
<br>
[![PyPI](https://img.shields.io/pypi/v/segmentation-models-pytorch?color=blue&style=for-the-badge&logo=pypi&logoColor=white)](https://pypi.org/project/segmentation-models-pytorch/)
Expand Down Expand Up @@ -77,8 +77,8 @@ preprocess_input = get_preprocessing_fn('resnet18', pretrained='imagenet')
Congratulations! You are done! Now you can train your model with your favorite framework!

### 💡 Examples <a name="examples"></a>
- Training model for pets binary segmentation with Pytorch-Lightning [notebook](https://github.com/qubvel/segmentation_models.pytorch/blob/master/examples/binary_segmentation_intro.ipynb) and [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/qubvel/segmentation_models.pytorch/blob/master/examples/binary_segmentation_intro.ipynb)
- Training model for cars segmentation on CamVid dataset [here](https://github.com/qubvel/segmentation_models.pytorch/blob/master/examples/cars%20segmentation%20(camvid).ipynb).
- Training model for pets binary segmentation with Pytorch-Lightning [notebook](https://github.com/qubvel/segmentation_models.pytorch/blob/main/examples/binary_segmentation_intro.ipynb) and [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/qubvel/segmentation_models.pytorch/blob/main/examples/binary_segmentation_intro.ipynb)
- Training model for cars segmentation on CamVid dataset [here](https://github.com/qubvel/segmentation_models.pytorch/blob/main/examples/cars%20segmentation%20(camvid).ipynb).
- Training SMP model with [Catalyst](https://github.com/catalyst-team/catalyst) (high-level framework for PyTorch), [TTAch](https://github.com/qubvel/ttach) (TTA library for PyTorch) and [Albumentations](https://github.com/albu/albumentations) (fast image augmentation library) - [here](https://github.com/catalyst-team/catalyst/blob/v21.02rc0/examples/notebooks/segmentation-tutorial.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/catalyst-team/catalyst/blob/v21.02rc0/examples/notebooks/segmentation-tutorial.ipynb)
- Training SMP model with [Pytorch-Lightning](https://pytorch-lightning.readthedocs.io) framework - [here](https://github.com/ternaus/cloths_segmentation) (clothes binary segmentation by [@ternaus](https://github.com/ternaus)).

Expand Down Expand Up @@ -465,7 +465,7 @@ $ pip install git+https://github.com/qubvel/segmentation_models.pytorch
### 🏆 Competitions won with the library

`Segmentation Models` package is widely used in the image segmentation competitions.
[Here](https://github.com/qubvel/segmentation_models.pytorch/blob/master/HALLOFFAME.md) you can find competitions, names of the winners and links to their solutions.
[Here](https://github.com/qubvel/segmentation_models.pytorch/blob/main/HALLOFFAME.md) you can find competitions, names of the winners and links to their solutions.

### 🤝 Contributing

Expand Down Expand Up @@ -500,4 +500,4 @@ make table # generate table with encoders and print to stdout
```

### 🛡️ License <a name="license"></a>
Project is distributed under [MIT License](https://github.com/qubvel/segmentation_models.pytorch/blob/master/LICENSE)
Project is distributed under [MIT License](https://github.com/qubvel/segmentation_models.pytorch/blob/main/LICENSE)
4 changes: 2 additions & 2 deletions docs/quickstart.rst
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Expand Up @@ -62,8 +62,8 @@ You are done! Now you can train your model with your favorite framework, or as s
Check the following examples:

.. |colab-badge| image:: https://colab.research.google.com/assets/colab-badge.svg
:target: https://colab.research.google.com/github/qubvel/segmentation_models.pytorch/blob/master/examples/binary_segmentation_intro.ipynb
:target: https://colab.research.google.com/github/qubvel/segmentation_models.pytorch/blob/main/examples/binary_segmentation_intro.ipynb
:alt: Open In Colab

- Finetuning notebook on Oxford Pet dataset with `PyTorch Lightning <https://github.com/qubvel/segmentation_models.pytorch/blob/master/examples/binary_segmentation_intro.ipynb>`_ |colab-badge|
- Finetuning notebook on Oxford Pet dataset with `PyTorch Lightning <https://github.com/qubvel/segmentation_models.pytorch/blob/main/examples/binary_segmentation_intro.ipynb>`_ |colab-badge|
- Finetuning script for cloth segmentation with `PyTorch Lightning <https://github.com/ternaus/cloths_segmentation>`_
2 changes: 1 addition & 1 deletion docs/save_load.rst
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Expand Up @@ -68,7 +68,7 @@ By following these steps, you can easily save, share, and load your models, faci
|colab-badge|

.. |colab-badge| image:: https://colab.research.google.com/assets/colab-badge.svg
:target: https://colab.research.google.com/github/qubvel/segmentation_models.pytorch/blob/master/examples/binary_segmentation_intro.ipynb
:target: https://colab.research.google.com/github/qubvel/segmentation_models.pytorch/blob/main/examples/binary_segmentation_intro.ipynb
:alt: Open In Colab


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