Skip to content

tomatitito/moviepy

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

MoviePy

MoviePy page on the Python Package Index Discuss MoviePy on Gitter Build status on travis-ci

MoviePy (full documentation) is a Python library for video editing: cutting, concatenations, title insertions, video compositing (a.k.a. non-linear editing), video processing, and creation of custom effects. See the gallery for some examples of use.

MoviePy can read and write all the most common audio and video formats, including GIF, and runs on Windows/Mac/Linux, with Python 2.7+ and 3. Here it is in action in an IPython notebook:

[logo]

Example

In this example we open a video file, select the subclip between t=50s and t=60s, add a title at the center of the screen, and write the result to a new file:

from moviepy.editor import *

video = VideoFileClip("myHolidays.mp4").subclip(50,60)

# Make the text. Many more options are available.
txt_clip = ( TextClip("My Holidays 2013",fontsize=70,color='white')
             .set_position('center')
             .set_duration(10) )

result = CompositeVideoClip([video, txt_clip]) # Overlay text on video
result.write_videofile("myHolidays_edited.webm",fps=25) # Many options...

Installation

MoviePy depends on the Python modules Numpy, imageio, Decorator, and tqdm, which will be automatically installed during MoviePy's installation. The software FFMPEG should be automatically downloaded/installed (by imageio) during your first use of MoviePy (installation will take a few seconds). If you want to use a specific version of FFMPEG, follow the instructions in config_defaults.py. In case of trouble, provide feedback.

Installation by hand: download the sources, either from PyPI or, if you want the development version, from GitHub, unzip everything into one folder, open a terminal and type:

$ (sudo) python setup.py install

Installation with pip: if you have pip installed, just type this in a terminal:

$ (sudo) pip install moviepy

If you have neither setuptools nor ez_setup installed, the command above will fail. In this case type this before installing:

$ (sudo) pip install ez_setup

Optional but useful dependencies

ImageMagick is not strictly required, but needed if you want to incorporate texts. It can also be used as a backend for GIFs, though you can also create GIFs with MoviePy without ImageMagick.

Once you have installed ImageMagick, it will be automatically detected by MoviePy, except on Windows! Windows users, before installing MoviePy by hand, need to edit moviepy/config_defaults.py to provide the path to the ImageMagick binary, which is called convert. It should look like this

IMAGEMAGICK_BINARY = "C:\\Program Files\\ImageMagick_VERSION\\convert.exe"

PyGame is needed for video and sound previews (not relevant if you intend to work with MoviePy on a server but essential for advanced video editing by hand).

For advanced image processing, you will need one or several of the following packages:

  • The Python Imaging Library (PIL) or, even better, its branch Pillow.
  • Scipy (for tracking, segmenting, etc.) can be used to resize video clips if PIL and OpenCV are not installed.
  • Scikit Image may be needed for some advanced image manipulation.
  • OpenCV 2.4.6 or a more recent version (one that provides the package cv2) may be needed for some advanced image manipulation.

For instance, using the method clip.resize requires that at least one of Scipy, PIL, Pillow or OpenCV is installed.

Contribute

MoviePy is open-source software originally written by Zulko and released under the MIT licence. The project is hosted on GitHub, where everyone is welcome to contribute, ask for help or simply give feedback.

You can also discuss the project on Reddit (preferred over GitHub issues for usage/examples), Gitter or the mailing list [email protected].

Maintainers

About

Video editing with Python

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 98.6%
  • Other 1.4%