Object for frame-based timecodes, using the video framerate to compute back and forth between frame number and seconds/timecode. A timecode i

The SceneManager facilitates detection of scenes (:meth:`detect_scenes`) on a video (:class:`VideoStream <scenedetect.video_stream.VideoStream>`)

Detects fast cuts using changes in colour and intensity between frames. The difference is calculated in the HSV color space, and compared against

Timing information associated with a given frame.

OpenCV `cv2.VideoCapture` backend.

Validator for int/float ranges. `min_val` and `max_val` are inclusive.

Provides a key-value store for frame metrics/calculations which can be used for two-pass detection algorithms, as well as saving stats to a CSV fi

Template matcher used to replace instances of $TEMPLATES in filenames.

Filters fast-cuts to enforce minimum scene length.

Raised when a value provided in a user config file fails validation.

Validator for timecode values in seconds (100.0), frames (100), or HH:MM:SS. Stores value in original representation.

Represents a time in seconds.

Detects fast cuts/slow fades in from and out to a given threshold level. Detects both fast cuts and slow fades so long as an appropriate threshol

Validator for crop region defined as X0 Y0 X1 Y1.

Fake callback used for testing. Tracks the frame numbers the callback was invoked with.

Exception instance to provide consistent error messaging across backends when the video frame rate is unavailable or cannot be calculated. Subclas

Raised when frame metrics/stats could not be loaded from a provided CSV file.

Raised when a user-specified configuration file fails to be loaded or validated.

Validator for kernel sizes (odd integer > 1, or -1 for auto size).

Validator for score weight values (currently a tuple of four numbers).

Either an unrecoverable error happened while attempting to seek, or the underlying stream is not seekable (additional information will be provided

A table class to create table rows, populated by table cells. Example: # Row from list row = SimpleTableRow(['Hello,', 'world!']) #

Raised by a backend if opening a video fails.

Properties for each input a VideoStream is tested against.

Represents a time as a frame number.

Two-pass detector that calculates frame scores with ContentDetector, and then applies a rolling average when processing the result that can help m

The state of the application representing what video will be processed, how, and what to do with the result. This includes handling all input opti

Components that make up a frame's score, and their default values.

Strings that can contain escape sequences but can be a maximum of 1 character in length.

Strings that can contain escape sequences, e.g. the literal \n.

A table class to create HTML tables, populated by HTML table rows. Example: # Table from lists table = SimpleTable([['Hello,', 'world!'],

A table class to create table cells. Example: cell = SimpleTableCell('Hello, world!')

Adapter for existing VideoCapture objects. Unlike VideoStreamCv2, this class supports VideoCaptures which may not support seeking.

The AutoShot Dataset (test splits) proposed by Zhu et al. in AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection Lin

The BBC Dataset, proposed by Baraldi et al. in A deep siamese network for scene detection in broadcast videos Link: https://arxiv.org/abs/1

Raised if the length of a command line argument exceeds the limit allowed on Windows.

Provides a no-op tqdm context manager for redirecting log messages.

A class to create HTML pages containing CSS and tables.

Information about the scene being extracted.

A table class to create table cells with an image. Example: cell = SimpleTableImage('images/image_1.jpg')

Information about the video being split.

PyAV `av.InputContainer` backend.

MoviePy `FFMPEG_VideoReader` backend.

Custom formatting for commands.

Custom formatting for command groups.

Provides a no-op tqdm-like object.

Format to use with the `save-fcp` command.

[DEPRECATED - DO NOT USE] No longer used. :meta private:

[DEPRECATED - DO NOT USE] No longer used. :meta private:

Detects cuts using a perceptual hashing algorithm. Applies a direct cosine transform (DCT) and lowpass filter, followed by binary thresholding on

Compares the difference in the Y channel of YUV histograms for adjacent frames. When the difference exceeds a given threshold, a cut is detected.

Interpolation method used for image resizing. Based on constants defined in OpenCV.

Method for ThresholdDetector to use when comparing frame brightness to the threshold.

Which mode the filter should use for enforcing minimum scene length.

Base class to inherit from when implementing a scene detection algorithm. This API is not yet stable and subject to change.

Fixture for tests which run against different input videos.

Format to display timecodes.

Used to represent configuration values that must be validated against constraints.

Interface which all video backends must implement.

Data calculated for a given frame.