Metadata-Version: 2.1
Name: mydia
Version: 2.0.0
Summary: Read videos as numpy arrays
Home-page: https://mrinaljain17.github.io/mydia/
Author: Mrinal Jain
Author-email: mrinaljain007@gmail.com
License: MIT
Project-URL: Documentation, https://mrinaljain17.github.io/mydia/
Project-URL: Source, https://github.com/MrinalJain17/mydia
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Multimedia :: Video :: Capture
Requires-Dist: numpy (>=1.14.5)
Requires-Dist: ffmpeg-python (>=0.1.16)
Requires-Dist: tqdm (>=4.25.0)

Mydia
=====

Reading videos into NumPy arrays was never more simple. This library provides 
an entire range of additional functionalities such as custom frame selection, 
frame resizing, pixel normalization, grayscale conversion and much more.

`Read the Documentation <https://mrinaljain17.github.io/mydia/>`__

Getting started
---------------

**How to simply read a video, given its path?**

.. code:: python

   # Import
   from mydia import Videos

   # Initialize video path
   video_path = r"./static/sample_video/bigbuckbunny.mp4"

   # Create a reader object
   reader = Videos()

   # Call the 'read()' function to get the video tensor
   video = reader.read(video_path)   # a tensor of shape (1, 132, 720, 1080, 3)

The tensor represents **1 video** having **132 frames**, with each frame
having a width and height of 1080 and 720 pixels respectively. “**3**”
denotes the Red, Green and Blue (RGB) channels of the video.

More examples available in the code documentation `here <https://mrinaljain17.github.io/mydia/html/auto_examples/index.html>`_
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Installation
------------

-  **Install Mydia from PyPI (recommended):**

   .. code:: bash

      pip install mydia

-  **Alternatively, install from Github source:**

   First, clone the repository.

   .. code:: bash

      git clone https://github.com/MrinalJain17/mydia.git

   Then, build the module

   .. code:: bash

      cd mydia
      python setup.py install

Requirements
------------

``Python 3.x`` (preferably from the `Anaconda
Distribution <https://www.anaconda.com/download/>`__)

The program uses `ffmpeg-python <https://github.com/kkroening/ffmpeg-python>`__, which provides
python bindings for `FFmpeg <https://www.ffmpeg.org/>`__ (used as the backend for reading and 
processing videos)

To install ``FFmpeg`` on your machine - 

For **Linux** users:

   .. code:: bash

      $ sudo apt-get update
      $ sudo apt-get install libav-tools

For **Windows or MAC/OSX** users:

   Download the required binaries from
   `here <https://www.ffmpeg.org/download.html>`__. Extract the zip file
   and add the location of binaries to the ``PATH`` variable

Additional Libraries to install:
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Install the following packages along with their dependencies:

-  `ffmpeg-python <https://github.com/kkroening/ffmpeg-python>`__

.. code:: bash

       pip install ffmpeg-python

-  `Numpy <http://www.numpy.org/>`__

.. code:: bash

       pip install numpy

-  `tqdm <https://pypi.python.org/pypi/tqdm#installation>`__ - Required
   for displaying the progress bar.

.. code:: bash

       pip install tqdm

-  `Matplotlib <https://matplotlib.org/>`__ - (Optional) For plotting the frames
   of a video

.. code:: bash

       pip install matplotlib


