pybeamprofiler 0.2.1

Real-time laser beam profiler with Gaussian fitting for GenICam cameras

pyBeamprofiler

Real-time laser beam profiler with Gaussian fitting for GenICam cameras.

Features

• Real-time Gaussian fitting — 1D projections (230+ fps), 2D with rotation (50+ fps), linecut (300+ fps)
• Browser-based GUI — Dash web interface with live heatmap, fits, dark/light theme, 30+ color scales, and camera controls
• Multiple width definitions — Gaussian (1/e²), FWHM, D4σ (ISO 11146)
• GenICam hardware support — FLIR (Spinnaker) and Basler (Pylon) via Harvesters; auto-discovered features grouped by SFNC category
• Jupyter support — Live streaming with bp.setting() interactive widgets
• Simulated camera — Gaussian beam with noise, no hardware needed
• Auto-configuration — Pixel size detection for 40+ sensor models

Quick Start

pip install pybeamprofiler

# Run the browser GUI with a simulated camera (no hardware needed)
pybeamprofiler --camera simulated

# Or connect to real hardware
pybeamprofiler --camera flir       # FLIR / Spinnaker
pybeamprofiler --camera basler     # Basler / Pylon

The browser opens automatically at http://127.0.0.1:8050. Press Ctrl+C in the terminal to stop the server and exit.

Installation

pip install pybeamprofiler

For real hardware (FLIR or Basler), also install the corresponding SDK and set the CTI path:

Vendor	SDK	GENICAM_GENTL64_PATH
FLIR	Spinnaker	/usr/local/lib/spinnaker-gentl (macOS/Linux)
Basler (macOS)	Pylon	/Library/Frameworks/pylon.framework/Libraries/gentlproducer/gtl
Basler (Linux)	Pylon	/opt/pylon/lib64/gentlproducer/gtl
Basler (Windows)	Pylon	C:\Program Files\Basler\pylon\Runtime\x64

export GENICAM_GENTL64_PATH=/path/to/cti/files

Note: GenICam cameras allow only one application to connect at a time — close Spinnaker GUI / Pylon Viewer first.

Usage

Command line

pybeamprofiler --camera simulated      # simulated camera
pybeamprofiler --camera flir           # FLIR / Spinnaker
pybeamprofiler --camera basler         # Basler / Pylon
pybeamprofiler --file beam.png         # static image
pybeamprofiler --fit 2d --definition fwhm
pybeamprofiler --help                  # all options

Press Ctrl+C in the terminal to stop streaming and exit.

Python API

from pybeamprofiler import BeamProfiler, print_camera_info

print_camera_info()                    # list connected cameras

bp = BeamProfiler(camera="simulated")
bp.plot()                              # open browser GUI
bp.plot(num_img=1)                     # single shot

print(f"Width X: {bp.width_x:.1f} μm, Y: {bp.width_y:.1f} μm")
print(f"Center: ({bp.center_x:.1f}, {bp.center_y:.1f}) px")

# Change settings
bp.setting(exposure_time=0.05, Gain=10.0)

# In Jupyter: open interactive control panel
bp.setting()

See the API docs for fitting methods (1d, 2d, linecut), width definitions (gaussian, fwhm, d4s), ROI control, and more.

Troubleshooting

• Camera not found — verify SDK install, GENICAM_GENTL64_PATH, and run print_camera_info().
• Access denied — close other camera software (Spinnaker GUI, Pylon Viewer).
• Jupyter camera stuck — restart the kernel to release the hardware lock.
• Basler USB3 — pass the USB3 CTI explicitly: BaslerCamera(cti_file="/path/to/ProducerU3V.cti").

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For Developers

Setup

git clone https://github.com/acechenx/pybeamprofiler.git
cd pybeamprofiler
uv sync --extra dev
uv run pre-commit install

Code quality

uv run ruff check src tests
uv run ruff format src tests
uv run ty check src tests

Testing

uv run pytest                          # all tests + coverage
uv run pytest --cov-report=html        # HTML coverage report
uv run pytest tests/test_profiler.py   # single file

Current suite: 588 tests, 97% coverage.

Architecture

• beamprofiler.py — BeamProfiler class, fitting algorithms, CLI entry point
• camera.py — abstract Camera base class + Jupyter widget builder
• gen_camera.py — HarvesterCamera for GenICam devices
• flir.py / basler.py — vendor-specific subclasses
• simulated.py — SimulatedCamera (no hardware)
• dash_app.py — browser GUI with live updates, settings panel, pattern-matching callbacks
• utils.py — camera discovery helpers
• constants.py — shared constants

Contributing

1. Fork and create a feature branch
2. Add tests for new functionality
3. Ensure uv run pytest, uv run ruff check, and uv run ty check pass
4. Submit a pull request

Performance notes

• 2D fits use adaptive downsampling + Levenberg-Marquardt warm starts
• Projection profiles are cached between analyze() and figure rendering
• In the current Dash implementation, live updates perform bp.camera.get_image(timeout=0.1) and bp.analyze(img) synchronously while holding a threading.Lock to reduce segfault risk in the Harvesters C library

Supported sensors

Auto-detected pixel sizes (40+ models) — Sony IMX174, IMX183, IMX226, IMX249, IMX250, IMX252, IMX253, IMX255, IMX264, IMX265, IMX273, IMX287, IMX290, IMX291, IMX304, IMX392, IMX412, IMX477, IMX485, IMX530, IMX531, IMX540, IMX541, IMX542, IMX547, and direct Basler model lookups (acA4024-8gm, acA4024-29um, acA1920-155um, acA2440-75um, acA3800-14um).

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License

MIT — see LICENSE.

Author

C.-A. Chen ([e-mail])

Acknowledgments

• Built on Harvesters, Plotly/Dash
• Inspired by LaseView (old freeware), ptomato/Beams, jordens/bullseye
• FLIR and Basler cameras loaned from Atom Computing for testing