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        "author": "Mrinal Jain",
        "author_email": "mrinaljain007@gmail.com",
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        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Topic :: Multimedia :: Video :: Capture",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "\n# Mydia\n[![Build Status](https://travis-ci.org/MrinalJain17/mydia.svg?branch=master)](https://travis-ci.org/MrinalJain17/mydia)\n![Code Style](https://img.shields.io/badge/code%20style-black-black.svg)\n![Platform](https://img.shields.io/badge/Platforms-linux--64,osx--64,win--64-orange.svg)\n\nReading videos as NumPy arrays was never more simple. This library provides an \nentire range of additional functionalities such as custom frame selection, frame \nresizing, pixel normalization, grayscale conversion and much more.\n\n[**READ THE DOCUMENTATION**](https://mrinaljain17.github.io/mydia)\n\n## Getting started\n\n#### 1. Read a video, given its path\n\n```python\n\n# Import\nfrom mydia import Videos\n\n# Initialize video path\nvideo_path = r\".docs/examples/sample_video/bigbuckbunny.mp4\"\n\n# Create a reader object\nreader = Videos()\n\n# Call the 'read()' function to get the video tensor\n# which will be of shape (1, 132, 720, 1280, 3)\nvideo = reader.read(video_path)\n\n```\n\nThe tensor can be interpreted as:\n\n- 1 video\n- Having 132 frames, \n- Dimension (width x height) of each frame: 1280x720 pixels\n- `3` denotes that the video is in RGB format\n\n#### 2. You can even use multiple workers for reading the videos in parallel\n\n```python\n\nfrom mydia import Videos\n\nvideo_paths = [\n    \"path/to/video_1\", \n    \"path/to/video_2\", \n    \"path/to/video_3\",\n    ...,\n]\n\nreader = Videos()\nvideo = reader.read(video_path, workers=4)\n\n```\n\n#### 3. View detailed examples [here](https://mrinaljain17.github.io/mydia/auto_examples/)\n\n## Requirements\n\n- `Python 3.x` (preferably from the [Anaconda Distribution](https://www.anaconda.com/download/))\n\n- [`FFmpeg`](https://www.ffmpeg.org/): The backend for reading and processing \n  the videos.\n\n  **The recommended (and probably the easiest) way of installing `FFmpeg` is \n  via the conda package manager.**\n\n  ```bash\n      conda install -c mrinaljain17 ffmpeg\n  ```\n\n  However, if you are not using *conda*, then\n\n  For **Linux** users - \n\n  ```bash\n      $ sudo apt-get update\n      $ sudo apt-get install ffmpeg\n  ```\n\n  For **Windows or MAC/OSX** users - \n\n  Download the required binaries from [here](https://www.ffmpeg.org/download.html). \n  Extract the zip file and add the location of binaries to the `PATH` variable.\n\n## Installation\n\n1. **Using the conda package manager (recommended):**\n\n    ```bash\n        conda install -c mrinaljain17 mydia\n    ```\n\n2. **Using pip:**\n\n    ```bash\n        pip install mydia\n    ```\n\nThe following python packages that `mydia` depends on, will also be \ninstalled, along with their dependencies.\n\n- [ffmpeg-python](https://github.com/kkroening/ffmpeg-python)\n- [Numpy](http://www.numpy.org/)\n- [tqdm](https://pypi.python.org/pypi/tqdm#installation) - Required for \n  displaying the progress bar.\n\n## License\n\nCopyright 2018 [Mrinal Jain](https://mrinaljain17.github.io/).\n\nReleased under the [MIT License](https://mrinaljain17.github.io/license/).\n\n\n",
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