Skip to main content

PyQt5 wrapper for pypylon SDK for Basler camera manipulation, aimed for microfluidics and slow motion.

Project description

PylonGUY

Your best friend for high-performance camera control for Basler cameras with high-speed recording capabilities and simple GUI.

preview

Features

  • Real-time preview with adaptive grab strategy (lag-free at any FPS)
  • Camera configuration with automatic adjustment to camera capabilities
  • High-speed frame capture to raw frames with FFmpeg post-processing
  • Configurable playback rate for slow-motion video
  • Interactive ROI selection and offset controls
  • Preset configurations (Default, HighSpeed, FullFrame, Microfluidics)
  • Auto-apply presets on camera connection
  • Waterfall mode for line-scan recording

Installation

From PyPI

pip install pylonguy

From source

git clone https://github.com/merv1n34k/pylonguy.git
cd pylonguy
pip install -e .

Requirements

  • Python 3.12+
  • ffmpeg in PATH (for video processing)
  • Basler Pylon SDK (for camera communication)

Installing ffmpeg

# macOS
brew install ffmpeg

# Ubuntu/Debian
sudo apt install ffmpeg

# Windows
# Download from https://ffmpeg.org/download.html and add to PATH

Installing Pylon SDK

Download from Basler website. See pypylon known issues for platform-specific notes.

Usage

# Run the application
pylonguy

# Or with uv
uv run pylonguy

Presets

Camera presets are saved to presets.json in the current working directory. This allows you to maintain different presets for different projects by running the application from each project's folder.

How it works

The application separates capture from video encoding for maximum performance:

  1. Capture Phase: Frames stream from camera → memory buffer → raw files on disk
  2. Processing Phase: After recording stops, FFmpeg assembles raw frames into video

This allows you to specify any desired playback frame rate, e.g.:

  • Camera captures at 1000 fps
  • Video plays back at 24 fps
  • Result: 1 second of capture = 41.7 seconds of slow-motion video

Waterfall Mode

Record single lines instead of full frames for:

  • Maximum frame rates (minimal data transfer)
  • Line-scan camera emulation
  • Monitoring flow in microfluidic channels

Output format: .wtf (waterfall) files, convertible to PNG:

python -m pylonguy.wtf2png recording.wtf

License

Distributed under the MIT License. See LICENSE for more information.

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

pylonguy-1.10.0.tar.gz (937.0 kB view details)

Uploaded Source

Built Distribution

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

pylonguy-1.10.0-py3-none-any.whl (67.3 kB view details)

Uploaded Python 3

File details

Details for the file pylonguy-1.10.0.tar.gz.

File metadata

  • Download URL: pylonguy-1.10.0.tar.gz
  • Upload date:
  • Size: 937.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for pylonguy-1.10.0.tar.gz
Algorithm Hash digest
SHA256 33074c81cc612cdc8ad7e80f25675d851514e2da8e6520870e51f15c13daa975
MD5 6165c4e4f8388111df5a05b4779093ff
BLAKE2b-256 d77ba61ec2b6ccc71451dbe0d2b8190f4d914e8ec65788082e7eae8e280c1281

See more details on using hashes here.

Provenance

The following attestation bundles were made for pylonguy-1.10.0.tar.gz:

Publisher: publish.yml on merv1n34k/pylonguy

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

File details

Details for the file pylonguy-1.10.0-py3-none-any.whl.

File metadata

  • Download URL: pylonguy-1.10.0-py3-none-any.whl
  • Upload date:
  • Size: 67.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for pylonguy-1.10.0-py3-none-any.whl
Algorithm Hash digest
SHA256 5696e45e81c73f8253306a52ee8efa297d5a61c622d749a8900382e62c06de45
MD5 b7d04cb3a9249bb27104f55ff23414dd
BLAKE2b-256 21c4d5a645433ca694d50deea603de800fd1f405f5911fd76d0743c5af14e052

See more details on using hashes here.

Provenance

The following attestation bundles were made for pylonguy-1.10.0-py3-none-any.whl:

Publisher: publish.yml on merv1n34k/pylonguy

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