autoneat

Standalone Neat Video Pro 6 Auto Profile automation for DaVinci Resolve.

Neat Video has no public scripting API for Auto Profile. autoneat scripts the parts Resolve exposes, then uses macOS window automation, OCR, and learned OpenCV templates for the controls Neat does not expose: Auto Profile and Apply.

Install

python3 -m pip install autoneat

DaVinci Resolve Studio, Neat Video Pro 6, macOS Accessibility / Screen Recording permissions, and Tesseract OCR are required. Run:

autoneat doctor

CLI

Run against the current Resolve project/timeline:

autoneat profile

Run against a specific project/timeline and shot filter:

autoneat profile \
  --shot-ids 001 002 003 \
  --continue \
  --retry-failed

Important options:

  • --continue resumes from the state JSON.
  • --retry-failed retries previously failed clips when resuming.
  • --all-video-tracks processes all video tracks instead of --track 1.
  • --fresh-neat adds a fresh Neat node instead of reusing one.
  • --reset deletes existing Neat nodes and rebuilds from scratch.
  • --color-wrap enables the HDR/linear ColorSpaceTransform wrapper.
  • --no-templates disables learned OpenCV templates and uses OCR only.
  • --json prints the final summary object after the live log.

Python API

from autoneat import ProfileOptions, run_profile

result = run_profile(
    ProfileOptions(
        project_name="My Show",
        timeline_name="My Show_Neat",
        shot_ids=["001", "002"],
    )
)

How It Works

For each selected timeline clip, autoneat:

  1. Moves the Resolve playhead to the clip.
  2. Adds or reuses the Neat Video OFX node.
  3. Wraps ACES/HDR clips with ColorSpaceTransform nodes so Neat sees display-referred pixels.
  4. Opens Neat via the OFX Prepare Profile___ button control.
  5. OCR-clicks Auto Profile, waits for readiness, then OCR-clicks Apply.
  6. Writes a state JSON after every clip for resumable batches.

Development

python3 -m venv .venv
./.venv/bin/python -m pip install -e ".[test]"
./.venv/bin/python -m pytest

License

MIT.

Project links

Data verified by PyPI on
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.4.7)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for mhadifilms from gravatar.com mhadifilms

Credits

Author: Mohammad Hadi

GitHub Statistics

Data verified by PyPI on 
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
View SPDX License List

Requires

Python >=3.10

Provides Extra

test

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

autoneat-0.4.0.tar.gz (92.0 kB view details)

Uploaded Source

Built Distribution

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

autoneat-0.4.0-py3-none-any.whl (97.0 kB view details)

Uploaded Python 3

File details

Details for the file autoneat-0.4.0.tar.gz.

File metadata

  • Download URL: autoneat-0.4.0.tar.gz
  • Upload date:
  • Size: 92.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for autoneat-0.4.0.tar.gz
Algorithm Hash digest
SHA256 b38f8a9ce7d8192fdf962423d19d6d78b7b6f1b47c9da98d50bdc545de2ededf
MD5 8fffc0eb07c89f0b202d9e22e69179f9
BLAKE2b-256 3725cd76dc724748c907c053a6273c855c018d8780a8a01a1e778af731a5d4a0

See more details on using hashes here.

Provenance

The following attestation bundles were made for autoneat-0.4.0.tar.gz:

Publisher: pypi.yml on mhadifilms/autoneat

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

File details

Details for the file autoneat-0.4.0-py3-none-any.whl.

File metadata

  • Download URL: autoneat-0.4.0-py3-none-any.whl
  • Upload date:
  • Size: 97.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for autoneat-0.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 eff0fae7abd1d10dc815627ccab6210964e91615f4e390e7afb2e3490b3f5ab3
MD5 7b55f61e1ae7537cacefb777e39c392f
BLAKE2b-256 96e4ab1295dfa9df63edea8d027d860fcd2a21990191ee43a2f177c4d294b7fb

See more details on using hashes here.

Provenance

The following attestation bundles were made for autoneat-0.4.0-py3-none-any.whl:

Publisher: pypi.yml on mhadifilms/autoneat

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