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        "author": "Michael Jaison Gnanasekar, Shreyas Joshi",
        "author_email": "gmichaeljaison@gmail.com, shreyasvj25@gmail.com",
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        "description": "# Specularity removal in multi-viewpoint images\n\nThe package is an open source utility to remove specularity in Images that has been captured from multiple viewpoints.\n\n#### Disclaimer\nThe method uses Homography to find the best pixels available in other viewpoint images. It will not work if the object is not planar.\n\n## Requirements:\n- Numpy\n- OpenCV\n\nWorks with both Python 2.7+ and Python 3+\n\n## Usage\n```python\nfnames = [\n    'data/pshycology-book-1.jpg',\n    'data/pshycology-book-2.jpg',\n    'data/pshycology-book-3.jpg'\n]\nremove_specularity(fnames)\n```\n\n## Example 1\n#### Using two input images\n<img src=\"data/calculus-book-1.jpg\" alt=\"Calculus Book 1\" width=\"200\" />\n<img src=\"data/calculus-book-2.jpg\" alt=\"Calculus Book 2\" width=\"200\" />\n### Output\n<img src=\"results/calculus-book-1.jpg\" alt=\"Calculus Book 1\" width=\"200\" />\n<img src=\"results/calculus-book-2.jpg\" alt=\"Calculus Book 2\" width=\"200\" />\n\n## Example 2\n#### Using three input images\n<img src=\"data/pshycology-book-1.jpg\" alt=\"Calculus Book 1\" width=\"200\" />\n<img src=\"data/pshycology-book-2.jpg\" alt=\"Calculus Book 2\" width=\"200\" />\n<img src=\"data/pshycology-book-3.jpg\" alt=\"Calculus Book 2\" width=\"200\" />\n### Output\n<img src=\"results/pshycology-book-1.jpg\" alt=\"Calculus Book 2\" width=\"200\" />\n<img src=\"results/pshycology-book-2.jpg\" alt=\"Calculus Book 2\" width=\"200\" />\n<img src=\"results/pshycology-book-3.jpg\" alt=\"Calculus Book 2\" width=\"200\" />",
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        "keywords": "computer vision,image processing,specularity-removal,highlights,homography",
        "license": "LICENSE",
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        "name": "specularity_removal",
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        "summary": "Implements specular removal in images captured from various view points",
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