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        "author": "Balakrishna Kommanaboina",
        "author_email": "balu636216@gmail.com",
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        "description": "## Face_extraction\n\nPython implementation of face extraction using haar-cascade classifier for frontal faces.\n\n### Requirements\nThe requirements.txt file contains following:\n```markdown\n1. numpy\n2. opencv-python\n3. opencv-utils\n\n`[sudo] pip install -r requirements.txt`\n```\n\n```\nDownload the project. Unzip this zip folder.\n```\n\n### Installation\n\nYou can install this package in two ways:\n1. PIP installation\n2. ZIP extraction\n\n```markdown\n# PIP Installation\n\nInstall latest version(1.0) from the [source](https://pypi.org/project/facedet/).\n              **or**\n`[sudo] pip install facedet`\n\nThen type `python3` **outside** folders' location in terminal. And type these to get output.\n`>>> import facedet`\n`>>> from facedet import faceext`\n`>>> faceext.extract()`\n\nBy default this package reads the images (`data2.jpg`) that was already given.\n\n```\n```markdown\n# ZIP Installation\n\nAfter extracting zip from the repository. Type this command  **in** file location.\n`[sudo] python3 faceext.py <path/to/image>` or you can select the images from data folder.\n\nThis way you can check for different images.\n\n```\n### Remarks\n1. This application is applied to Low-resoluted images. Throws an exception if high-resolution given.\n2. Loops and Conditional statements are avoided and replaced with numpy arrays to reduce Time Complexity.\n\n### License\nThis project is licensed under the MIT license.\n\n\n\n",
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        "name": "facedet",
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