clipwright-color

MCP tool for video brightness detection and OTIO timeline color annotation generation.

Overview

Measures average luma using the ffmpeg signalstats filter, writes a color correction directive (brightness offset, eq parameters) to timeline-level metadata["clipwright"]["color"].

Performs detection only (OTIO annotation); realization (eq filter application) is done once by clipwright-render (design M3: separation of detection and application).

Brightness derivation:

  • Samples frames at a configurable interval using fps=1/<interval> and signalstats=stat=brng.
  • Computes mean luma (YAVG) across sampled frames.
  • Derives brightness offset as clamp((target_luma - YAVG) / 255.0, -1.0, 1.0).
  • Contrast, saturation, and gamma are left at neutral defaults (1.0 / 1.0 / 1.0); only brightness is auto-derived from the measured luma.

Prerequisites

  • Python 3.11 or later
  • ffmpeg must exist on PATH or full path set in environment variable CLIPWRIGHT_FFMPEG.
export CLIPWRIGHT_FFMPEG=/path/to/ffmpeg
export CLIPWRIGHT_FFPROBE=/path/to/ffprobe

MCP Tool

clipwright_detect_color

Parameters

Name Type Default Description
media string required Input video file path (video stream required)
output string required Output OTIO timeline path (.otio, same directory as media)
options.target_luma float 128.0 Target average luma on the 0-255 scale (default: mid-grey)
options.sample_interval_sec float 1.0 Frame sampling interval in seconds (ffmpeg fps=1/interval, must be > 0)
timeline string | null null Existing OTIO timeline path (if specified, append color directive to it)

Return value

The tool returns a ToolResult envelope:

{
  "ok": true,
  "summary": "Color analysis complete. measured_luma=96.4 ...",
  "data": {
    "measured_luma": 96.4,
    "brightness": 0.123,
    "contrast": 1.0,
    "saturation": 1.0,
    "gamma": 1.0,
    "target_luma": 128.0,
    "sampled_frames": 12
  },
  "artifacts": [{"role": "timeline", "path": "out.otio", "format": "otio"}],
  "warnings": []
}

When measurement is not possible (measured=None, U-1), the color directive is not written but the timeline is still saved and a warning is returned.

Dependencies

Package Purpose
clipwright Shared types, envelope, errors, process.run
mcp[cli] MCP server
pydantic Parameter validation

ffmpeg is invoked as a separate process (via PATH or environment variable) for license independence.

Detection and Render Two-Phase Flow

  1. detect (this tool): ffmpeg -i <media> -vf "fps=1/1,signalstats=stat=brng,metadata=print" -f null - extracts per-frame YAVG and saves the derived eq directive to OTIO annotation.
  2. render (clipwright-render): reads metadata["clipwright"]["color"]["eq"] and applies eq=brightness=...:contrast=...:saturation=...:gamma=... in the ffmpeg filter graph.

Installation and Startup

Within a uv workspace:

uv run --package clipwright-color clipwright-color

Or install directly:

uv add clipwright-color
clipwright-color

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.4.1)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for satoh-y-0323 from gravatar.com satoh-y-0323

Credits

Author: satoh-y-0323

License

MIT

Requires

Python >=3.11

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

clipwright_color-0.2.0.tar.gz (9.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

clipwright_color-0.2.0-py3-none-any.whl (12.4 kB view details)

Uploaded Python 3

File details

Details for the file clipwright_color-0.2.0.tar.gz.

File metadata

  • Download URL: clipwright_color-0.2.0.tar.gz
  • Upload date:
  • Size: 9.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for clipwright_color-0.2.0.tar.gz
Algorithm Hash digest
SHA256 6742d63ececc53cc73a0dec1e945b892342bf733626374907778c67a80091aac
MD5 59927164bdf34c634cae09244a8c1435
BLAKE2b-256 40edb0d6a007bcd0c575d1954de5750ac2332158732469822a4b5a8255cbbec9

See more details on using hashes here.

Provenance

The following attestation bundles were made for clipwright_color-0.2.0.tar.gz:

Publisher: publish.yml on satoh-y-0323/clipwright

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file clipwright_color-0.2.0-py3-none-any.whl.

File metadata

File hashes

Hashes for clipwright_color-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 aa8b17482ead647adb8fe73c3b82646992f7074e6e9a4dd190b946b3fd9cb5d0
MD5 052441e4fa800b1e58cce2ad738b3e23
BLAKE2b-256 257e42bd6631f87a8dcf5663cdb1a85c0e5eab2c1c81cd221324da8e17404479

See more details on using hashes here.

Provenance

The following attestation bundles were made for clipwright_color-0.2.0-py3-none-any.whl:

Publisher: publish.yml on satoh-y-0323/clipwright

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page