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.
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
threshold argument to modify the sensitivity of the
# 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.