PySceneDetect Python Interface
In addition to being used from the command line, or through the GUI, PySceneDetect can be used in Python directly - allowing easy integration into other applications/scripts, or interactive use through a Python REPL/notebook.
Quickstart
In the code example below, we create a function find_scenes()
which will
load a video, detect the scenes, and return a list of tuples containing the
(start, end) timecodes of each detected scene. Note that you can modify
the threshold
argument to modify the sensitivity of the ContentDetector
.
# Standard PySceneDetect imports:
from scenedetect import VideoManager
from scenedetect import SceneManager
# For content-aware scene detection:
from scenedetect.detectors import ContentDetector
def find_scenes(video_path, threshold=30.0):
# Create our video & scene managers, then add the detector.
video_manager = VideoManager([video_path])
scene_manager = SceneManager()
scene_manager.add_detector(
ContentDetector(threshold=threshold))
# Improve processing speed by downscaling before processing.
video_manager.set_downscale_factor()
# Start the video manager and perform the scene detection.
video_manager.start()
scene_manager.detect_scenes(frame_source=video_manager)
# Each returned scene is a tuple of the (start, end) timecode.
return scene_manager.get_scene_list()
To get started, try printing the return value of find_scenes
on a small video clip:
scenes = find_scenes('video.mp4')
print(scenes)
A more advanced usage example can be found in the API reference manual.
Scene Detection in a Python REPL
PySceneDetect can be used interactively as well. One way to get familiar with this is to type the above example into a Python REPL line by line, viewing the output as you run through the code and making sure you understand the output/results. In the future, functions may be added to preview the scene boundaries graphically using OpenCV's GUI functionality, to allow interactive use of PySceneDetect from the command-line without launching the full GUI.