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    "info": {
        "author": "Maksym Balatsko",
        "author_email": "mbalatsko@gmail.com",
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            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.0",
            "Programming Language :: Python :: 3.1",
            "Programming Language :: Python :: 3.2",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering :: Image Recognition"
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        "description": "# Rolling ball and sliding paraboloid background subtraction algorithms \n\n[![PyPI version](https://badge.fury.io/py/opencv-rolling-ball.svg)](https://badge.fury.io/py/opencv-rolling-ball)\n[![Downloads](https://pepy.tech/badge/opencv-rolling-ball)](https://pepy.tech/project/pypylon-opencv-viewer)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n\n\nFully Ported to Python from ImageJ's Background Subtractor.\nOnly works for 8-bit greyscale images currently.\nBased on the concept of the rolling ball algorithm described\nin Stanley Sternberg's article,\n\"Biomedical Image Processing\", IEEE Computer, January 1983.\nImagine that the 2D grayscale image has a third (height) dimension by the image\nvalue at every point in the image, creating a surface. A ball of given radius\nis rolled over the bottom side of this surface; the hull of the volume\nreachable by the ball is the background.\nhttp://rsbweb.nih.gov/ij/developer/source/ij/plugin/filter/BackgroundSubtracter.java.html\n\n**This algorithms are perfect for microscope images, to distinguish particles\nfrom background.**\n\n## Installation\n\n```bash\npip install opencv-rolling-ball\n```\n\n## Usage\n\n```python\nimport cv2\nfrom cv2_rolling_ball import subtract_background_rolling_ball\n\nimg = cv2.imread(f'path/to/img.tif', 0)\nimg, background = subtract_background_rolling_ball(img, 30, light_background=True,\n                                     use_paraboloid=False, do_presmooth=True)\n```\n\n## Example outputs\n\n#### Input\n\n![Input](https://raw.githubusercontent.com/mbalatsko/opencv-rolling-ball/master/outputs/example.png)\n\n#### Subtracted background\n\n![Background](https://raw.githubusercontent.com/mbalatsko/opencv-rolling-ball/master/outputs/example_bg.png)\n\n#### Without background\n\n![Without background](https://raw.githubusercontent.com/mbalatsko/opencv-rolling-ball/master/outputs/example_roll.png)",
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        "keywords": "opencv,background subtraction,rolling ball algorithm",
        "license": "MIT License",
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        "name": "opencv-rolling-ball",
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        "summary": "Now function returns both result image and subtracted background",
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