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        "author": "haotran",
        "author_email": "hao.cse@gmail.com",
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            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering :: Image Recognition",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: Utilities"
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        "description": "# docdetect\n\n[![Build Status](https://travis-ci.org/alessandrozamberletti/docdetect.svg?branch=master)](https://travis-ci.org/alessandrozamberletti/docdetect)\n[![Build status](https://ci.appveyor.com/api/projects/status/l1gjc8g7c1q3846j/branch/master?svg=true)](https://ci.appveyor.com/project/alessandrozamberletti/docdetect/branch/master)\n[![codecov](https://codecov.io/gh/alessandrozamberletti/docdetect/branch/master/graph/badge.svg)](https://codecov.io/gh/alessandrozamberletti/docdetect)\n[![Maintainability](https://api.codeclimate.com/v1/badges/a9aa496faab72437e650/maintainability)](https://codeclimate.com/github/alessandrozamberletti/docdetect/maintainability)\n[![PyPI version](https://badge.fury.io/py/docdetect.svg)](https://badge.fury.io/py/docdetect)\n\n<p align=\"center\"> \n  <img src=\"./res/01.gif\" alt=\"sample_01\"/>\n  <img src=\"./res/02.gif\" alt=\"sample_02\"/>\n  <img src=\"./res/03.gif\" alt=\"sample_03\"/>\n</p>\n\nSimple real-time detection of documents in images using Canny Edge Detection, Hough Transform and Depth First Search.\n\n# Installation\n\nTo install, use `pip` or `easy_install`:\n\n```bash\n$ pip install --upgrade docdetect1\n```\nor\n```bash\n$ easy_install --upgrade docdetect1\n```\n\n# Instructions\n\nTBD\n\n# Examples\n\nProcess an ```image```:\n```python\nimport docdetect\n\nrects = docdetect.process(image)\nimage = docdetect.draw(rects, image)\n```\n\nProcess a ```video```:\n\n```python\nimport cv2\nimport docdetect1\n\nvideo = cv2.VideoCapture(video_path)\ncv2.startWindowThread()\ncv2.namedWindow('output')\nwhile video.isOpened():\n    ret, frame = video.read()\n    if ret:\n        rects = docdetect1.process(frame)\n        frame = docdetect1.draw(rects, frame)\n        cv2.imshow('output', frame)\n        cv2.waitKey(1)\nvideo.release()\n```\n\n# Resources  \n* [Fast and Accurate Document Detection for Scanning](https://blogs.dropbox.com/tech/2016/08/fast-and-accurate-document-detection-for-scanning/)\n\n\n",
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