Skip to main content

A lightweight GUI application for precise frame-by-frame video analysis and screenshot extraction, built with PySide/PyQt and OpenCV.

Project description

FramePerfect

A lightweight GUI application for precise frame-by-frame video analysis and screenshot extraction, built with PySide/PyQt and OpenCV.

Why This Tool?

  • Perfect for: Video editors, forensic analysts, researchers, and anyone needing precise frame analysis
  • Advantages over media players:
    • Guaranteed frame accuracy (no skipped frames)
    • Dedicated screenshot workflow
    • Clean interface without unnecessary features
  • Multi-file sequential processing: Provide multiple video files and automatically advance to the next when closing (New!)

Key Features

  • Frame-accurate navigation: Move through videos one frame at a time with perfect precision
  • Instant screenshot capture: Save any frame as PNG/JPEG with customizable paths
  • Simple workflow: Open -> Navigate -> Capture -> Repeat
  • Visual timeline: Quickly jump to any frame using the position slider
  • Compatibility: Supports Python 2+ and PyQt4/PyQt5/PyQt6/PySide/PySide2/PySide6

Installation

pip install frameperfect

After installation, run it as frameperfect.

Usage

Option 1: Interactive Mode

frameperfect
  1. Click "Open Video" and select your video file
  2. Use navigation controls:
    • Previous/Next Frame: Move precisely through frames
    • Slider: Jump to any position
    • Save Frame: Capture current frame

Option 2: Sequential Batch Mode (New!)

frameperfect video1.mp4 video2.mp4 video3.mp4
  • Automatically opens video1.mp4 first
  • When window closes, immediately opens video2.mp4
  • Process repeats until all videos are processed
  • Perfect for reviewing multiple clips in one session

Basic Workflow

  1. Click "Open Video" and select your video file
  2. Use these controls:
    • Previous/Next Frame: Move precisely through frames
    • Slider: Jump to any position in the video
    • Save Frame: Capture the current frame to your Pictures folder

Troubleshooting

  • If video doesn't open: Try converting to MP4 with H.264 codec
  • For large videos: Consider splitting files for better performance

Contributing

Contributions are welcome! Please submit pull requests or open issues on GitHub.

License

AGPL-3.0 - See LICENSE for details.

Project details


Download files

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

Source Distribution

frameperfect-0.1.0a3.tar.gz (18.3 kB view details)

Uploaded Source

Built Distribution

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

frameperfect-0.1.0a3-py2.py3-none-any.whl (18.5 kB view details)

Uploaded Python 2Python 3

File details

Details for the file frameperfect-0.1.0a3.tar.gz.

File metadata

  • Download URL: frameperfect-0.1.0a3.tar.gz
  • Upload date:
  • Size: 18.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.12

File hashes

Hashes for frameperfect-0.1.0a3.tar.gz
Algorithm Hash digest
SHA256 8393d2694cbe5e4d16a09eb2a3790a702b9d82adb08e14080243c06bacd79a65
MD5 52e622c0ca07982bb6a36ba0969c0bdf
BLAKE2b-256 5ca1a19f40886767e4e01fe28da0258a3b09ea5c8478c673b32bab9e0c58c371

See more details on using hashes here.

File details

Details for the file frameperfect-0.1.0a3-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for frameperfect-0.1.0a3-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 71f54dcea80439a77c0e65e1e64342bb6b7082ae4a62bb7781fcd79047fe4a2d
MD5 9a368aaba53cbaceece6937f0da88435
BLAKE2b-256 ef0a2fde88b57598aec27ecc3d276ec24c338ab1913fa794e4acd86ccdeb7c01

See more details on using hashes here.

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