Metadata-Version: 2.1
Name: mydia
Version: 1.0.5
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 (>=1.14.0)
Requires-Dist: matplotlib (>=2.2.0)
Requires-Dist: Pillow (>=5.1.0)
Requires-Dist: sk-video (>=1.1.10)
Requires-Dist: tqdm (>=4.20.0)


Mydia
=====

Reading videos into NumPy arrays was never more simple. In addition,
this library also provides an entire range of additional functionalities
for reading the videos.

`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 `Scikit-video <http://www.scikit-video.org/stable/>`__, which requires 
``FFmpeg`` to be installed on the system. 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:
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Several libraries like `Numpy <http://www.numpy.org/>`__,
`Pillow <https://python-imaging.github.io/>`__ and
`Matplotlib <https://matplotlib.org/>`__, required for the package come
pre-installed with the Anaconda distribution for Python. If you are not
using the default anaconda distribution, then first install the packages
mentioned above and along with their dependencies.

Also, install the following additional packages:

-  `Scikit-video <http://www.scikit-video.org/stable/>`__

.. code:: bash

       pip install sk-video

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

.. code:: bash

       pip install tqdm


