Metadata-Version: 2.1
Name: lungs-segmentation
Version: 1.1.1
Summary: High quality model for lungs segmentation.
Home-page: https://github.com/alimbekovKZ/lungs_segmentation/
Author: Renat Alimbekov, Ivan Vassilenko, Abylaikhan Turlassov
License: MIT
Description: # lungs_segmentation
        Automated lung segmentation in chest-x ray 
        
        ![https://habrastorage.org/webt/vk/jv/8r/vkjv8rjd04f1oicbczq5hyadhv0.png](https://habrastorage.org/webt/vk/jv/8r/vkjv8rjd04f1oicbczq5hyadhv0.png)
        
        ## Installation
        
        `pip install lungs-segmentation`
        
        ### Example inference
        
        Jupyter notebook with the example: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1hNNl-tHipIBGmtexU2BH8qC80-QxXFZt?usp=sharing)
        
        ### WebApp
        
        Comming soon ...
        
        ### Models weights
        
        | model | best dice | Mb |
        |-------|-----------|----|
        |   resnet34    | 0.9657          |  103.4  |
        |   densenet121    |  0.9655         |   62.8 |
        
        ### Usage
        
        Code example for resnet34:
        
        ```
        from lungs_segmentation.pre_trained_models import create_model
        import lungs_segmentation.inference as inference
        
        model = create_model("resnet34")
        device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
        model = model.to(device)
        
        plt.figure(figsize=(20,40))
        plt.subplot(1,1,1)
        image, mask = inference.inference(model,'739px-Chest_Xray_PA_3-8-2010.png', 0.2)
        plt.imshow(inference.img_with_masks( image, [mask[0], mask[1]], alpha = 0.1))
        ```
        
        
        ### Results on data from the Internet
        
        #### resnet34
        
        ![https://habrastorage.org/webt/e3/mb/kc/e3mbkcxsmos6q4jlw5-tybudzji.png](https://habrastorage.org/webt/e3/mb/kc/e3mbkcxsmos6q4jlw5-tybudzji.png)
        
        #### densenet121
        
        ![https://habrastorage.org/webt/ef/01/zo/ef01zo2g2qgsux8ses4keg4g8is.png](https://habrastorage.org/webt/ef/01/zo/ef01zo2g2qgsux8ses4keg4g8is.png)
        
        ### Authors
        
        ![Renat Alimbekov](https://alimbekov.com)
        
        ![Ivan Vassilenko](https://www.linkedin.com/in/ivannvassilenko/)
        
        ![Abylaikhan Turlassov](https://www.linkedin.com/in/abylaikhan-turlassov-2727b2196/)
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
Provides-Extra: test
