Metadata-Version: 2.1
Name: pyra-pytorch
Version: 0.0.5
Summary: Pyramid Focus Augmentation: Medical Image Segmentation with Step Wise Focus
Home-page: https://github.com/vlbthambawita/pyra-pytorch
Author: Vajira Thambawita
Author-email: vlbthambawita@gmail.com
License: UNKNOWN
Description: # pyra-pytorch
        
        
        ### This is a package supporting Pytorch datasets. This implementation is based on the augmentation method discussed in the paper "Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus" ([PDF](https://arxiv.org/pdf/2012.07430v1.pdf)) and the original github repository: [PYRA](https://vlbthambawita.github.io/PYRA/).
        
        
        
        
        
        ```latex
        @article{thambawita2020pyramid,
          title={Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus},
          author={Thambawita, Vajira and Hicks, Steven and Halvorsen, P{\aa}l and Riegler, Michael A},
          journal={arXiv preprint arXiv:2012.07430},
          year={2020}
        }
        ```
        
        # How to use:
        
        ### Install the package,
        ```bash
        pip install pyra-pytorch
        ```
        
        ### Creating a PYRA augmented dataset:
        
        ```python
        from pyra_pytorch import PYRADataset
        
        dataset = PYRADataset("./image_path", # image folder
                              "./masks_path", # mask folder - files´s names of this folder should have image names as prefix to find correct image and mask pairs.
                              img_size = 256,  # height and width of image to resize
                              grid_sizes=[2,4,8,16,32,64,128,256] , # Gird sizes to use as grid augmentation. Note that, the image size after resizing ()
                              transforms = None
                              )
        '''
        ./image_path" --> image folder
        
        ./masks_path" --> mask folder - files´s names of this folder should have image names as prefix to find correct image and mask pairs.
        
        img_size = 256 --> height and width of image to resize
        
        grid_sizes=[2,4,8,16,32,64,128,256]  --> Gird sizes to use as grid augmentation. Note that, the image size after resizing (in this case, it is 256) shoud be divisible by these grid sizes.
                              
        transforms = None --> Other type of transformations using in Pytorch. 
        
        '''
        ```
        
        # Sample ipython notebook
        
        [notebook](https://github.com/vlbthambawita/pyra-pytorch/blob/main/tutorial/load_data_with_PYRA.ipynb)
        
        
        # Contact us:
        
        vajira@simula.no | michael@simula.no
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
