https://github.com/shoeffner/cvloop

cvloop allows online video transformation and evaluation with OpenCV. Designed for jupyter notebooks.
https://github.com/shoeffner/cvloop

jupyter-notebook opencv-python

Last synced: 3 months ago
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cvloop allows online video transformation and evaluation with OpenCV. Designed for jupyter notebooks.

• Host: GitHub
• URL: https://github.com/shoeffner/cvloop
• Owner: shoeffner
• License: mit
• Archived: true
• Created: 2016-11-23T14:21:14.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2019-02-07T02:30:22.000Z (almost 6 years ago)
• Last Synced: 2024-09-24T22:04:10.037Z (3 months ago)
• Topics: jupyter-notebook, opencv-python
• Language: Python
• Homepage:
• Size: 1.45 MB
• Stars: 17
• Watchers: 4
• Forks: 2
• Open Issues: 8
• Metadata Files:
  • Readme: README.rst
  • Changelog: CHANGELOG.md
  • License: LICENSE

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README

        
cvloop

======

Provides cvloop, a way to show opencv video loops. Designed for jupyter notebooks.

**Simple example**: Show webcam feed.

.. code-block:: python

    from cvloop import cvloop

    cvloop()

**More complex example**: Show webcam feed side by side with inverted image.

.. code-block:: python

    from cvloop import cvloop

    cvloop(function=lambda frame: 255 - frame, side_by_side=True)

**Complex example**: Show video file with background extraction (See `OpenCV Documentation`_; `Video`_).

.. code-block:: python

    from cvloop import cvloop

    import cv2

    def mog2(frame):

        return mog2.fgbg.apply(frame)

    mog2.fgbg = cv2.createBackgroundSubtractorMOG2()

    cvloop('768x576.avi', function=mog2, side_by_side=True)

**More examples**: For more examples check out the `examples notebook`_.

Install

-------

You can simply install cvloop using pip (make sure to install matplotlib, numpy, OpenCV and Jupyter):

.. code-block::

    pip install cvloop

Or, if you are using conda and don't want to worry about requirements, just use conda-forge:

.. code-block::

    conda config --add channels conda-forge

    conda install cvloop

Requirements

------------

(Recommended versions, additionally tested versions in parentheses.)

-  Python 3.6

-  OpenCV 3.2

-  Jupyter 4.3.1

-  matplotlib 2.0.0

-  numpy 1.12.0

Development

-----------

To contribute, just fork the repository and create pull requests.

To publish, you need a couple of additional tools:

    - `gpg` to sign the packages

    - `twine` to upload them

    - `shasum` to calculate the checksum for conda-forge

    - `hub` to create the pull request for conda-forge

.. _`OpenCV Documentation`: http://docs.opencv.org/3.1.0/db/d5c/tutorial_py_bg_subtraction.html

.. _`Video`: https://github.com/opencv/opencv_extra/tree/master/testdata/cv/video

.. _`examples notebook`: examples/cvloop_examples.ipynb