Hi, I'm Benjamin Gallois, a Ph.D. in physics, computer vision, and Substrate-based blockchain developer. Over the past four years, I've specialized in data analysis, computer vision, and software design. I founded Analyzable, providing expert services in computer vision and software development using tools like C++, Python, and OpenCV, covering everything from prototyping to deployment. You can learn more about my work on my website.

I’m also the creator and maintainer of FastTrack, a scientific tracking software developed during my Ph.D. at LJP, where I researched chemical perception in zebrafish 🐟. Along with FastTrack, I manage an ecosystem of tools for multi-object tracking and data analysis.

• Freelancing for the Duniter blockchain, built on Substrate.
• Freelance projects focused on computer vision.
• Various data science projects related to sports performance.

I'm a self-taught programmer with proficiency in:

• Python
• Rust
• Julia
• C++
• LaTeX
• HTML/CSS/JS
• Qt/QML
• Hugo
• Substrate

I regularly work with the following software:

• Kdenlive (video editing)
• OBS Studio (live streaming)
• Jitsi (video conferencing)
• Blender (3D creation)
• Inkscape (vector editing)
• GIMP (image editing)
• Fusion 360 (CAD)

I rely on free and open-source tools in my daily workflow:

• ArcoLinux (Operating System)
• i3-gaps (Window Manager)
• NeoVim (Code Editor)
• Doom Emacs (Document Editor)

You can find my configuration files here.

• FastTrack: Scientific tracking software.
• PyFastTrack: Python integration of FastTrack with deep learning capabilities.
• FastOcclusion: Deep learning solution for occlusion issues in tracking.
• You&EyePhoto: Iris image processing software for the You&Eye art gallery.
• CircularTransform: Fast remapping of deformed objects into perfect circles.
• Pyside6CurveEditor: Qt widget for image level correction.
• CppImageViewer: Qt widget for large image display.
• PysideImageViewer: Qt widget for large image display in Python.
• DeepIris: Deep learning model for iris and pupil segmentation.

• FastAnalyzer: Software for analyzing FastTrack outputs.
• FastAnalysis: Python library to work with FastTrack data.
• HRV Tools: Cardiac variability analysis using open-source PPG sensors.
• PeakPacer: Web app for field testing CdA and optimizing power profiles for cyclists.
• LapsAnalyzer: Tool to analyze and compare laps in cycling races.

• jotform-api: C++ API for Jotform integration.
• OpenJournal: Journal and note-taking app.
• QSensor: GUI to monitor hardware usage and temperature.
• Level: Android spirit level app.

• AuthenticPay: Collection of Ink! smart contracts.
• WeightDecorator: Crate for weight accounting in Substrate nodes.

• Duniter-v2s Contributions: Contributing to the Duniter v2s Substrate node.