Video editing with Python
MoviePy (full documentation here) is a Python module for video editing: cuts, 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.
A typical MoviePy script looks like this:
from moviepy.editor import * # Load myHolidays.mp4 and select the subclip 00:00:50 - 00:00:60 clip = VideoFileClip("myHolidays.mp4").subclip(50,60) # Generate a 10-second centered text clip (many options available ! ) txt_clip = ( TextClip("My Holidays 2013",fontsize=70,color='white') .set_position('center') .set_duration(10) ) # Overlay the text clip above the first clip final_clip = CompositeVideoClip([clip, txt_clip]) # write the result to a file in any format final_clip.to_videofile("myHolidays_edited.webm",fps=25)
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.
MoviePy is an 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.
Method with pip: if you have pip installed, just type this in a terminal (it will install ez_setup if you don’t already have it)
(sudo) pip install moviepy
If you have neither setuptools nor ez_setup installed the command above will fail, is this case type this before installing:
(sudo) pip install ez_setup
(sudo) python setup.py install
MoviePy depends on the Python modules Numpy, Decorator, and tqdm, which will be automatically installed during MoviePy’s installation. It should work on Windows/Mac/Linux, with Python 2.7+ and 3 ; if you have trouble installing MoviePy or one of its dependencies, please provide feedback !
Other optional but useful dependencies
PyGame is needed for video and sound previews (useless if you intend to work with MoviePy on a server but really essential for advanced video editing by hand).
For advanced image processing you will need one or several of these packages. For instance using the method clip.resize requires that at least one of Scipy, PIL, Pillow or OpenCV are installed.
- The Python Imaging Library (PIL) or, better, its branch Pillow .
- Scipy (for tracking, segmenting, etc.), and can be used for resizing video clips if PIL and OpenCV aren’t installed on your computer.
- Scikit Image may be needed for some advanced image manipulation.
- OpenCV 2.4.6 (provides the package cv2) or more recent may be needed for some advanced image manipulation.
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