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        "author": "Devang Kulshreshtha",
        "author_email": "devang.kulshreshtha.cse14@itbhu.ac.in",
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            "Programming Language :: Python :: 3"
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        "description": "# Largest Face Detector\n\nThe Largest Face Detector is a basic face detector that detects largest frontal face from image using external python dlib library (http://dlib.net/python/index.html).\n\n## Installation\n\nYou can install the Largest Face Detector from [PyPI](https://pypi.org/project/largest-frontal-face-detector/1.0.0/):\n\n    pip install largest-frontal-face-detector\n\nThe reader is supported on Python 3.6 and above.\n\n## Pre-requisites\n    1. numpy (pip install numpy)\n    2. dlib (pip install dlib)\n    3. PIL (pip install pillow)\n\nNOTE :: These dependency packages will be installed automatically upon installing largest-face-detector package.\n\n## How to use\n\nThe Largest Face Detector is a pip package, named `largest_face_detector`.  To detect face in a particular image, call the function `detect_largest_face` with image path as input (relative to current directory you are in)\n\n    >>> import largest_face_detector\n    >>> image = largest_face_detector.detect_largest_face('image.jpeg')\n    $ Cropped face saved successfully at : /Users/kulshd/2019-10-05T14:08:20.086934_cropped_image.jpeg\n\nThe function will return the cropped image as a 2D numpy array and also save it.\n\nFollowing are some requirements and assumptions for using this package -\n\n    1. Image size must be within [1024,1024]. If it exceeds, NotImplementedError is raised.   \n    2. If no face is detected by the package, a warning message is displayed\n    3. Currently following image formats are supported - [.jpeg, .jpg, .png]\n\nYou can also run test-cases to validate package functionality by downloading source .tar.gz file (https://pypi.org/project/largest-frontal-face-detector/1.0.0/#files) ,extracting and cd into folder largest_frontal_face_detector-1.0.0, and running `python3 -m unittest discover -v`\n\n",
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        "name": "largest-frontal-face-detector",
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