Projects on Antoine Boucher

Dimension (mathlib)

Mon, 13 Apr 2026 12:00:00 +0000

Dimension

mathlib is a Rust crate for dense and sparse linear algebra, decompositions, 3D math, clustering, graph algorithms, transforms, and more—with WebAssembly demos and optional SIMD / GPU features. The Dimension repo wraps that crate alongside kinematics, physics, rendering experiments, and documentation.

Quick start

cd mathlib && cargo build
cd mathlib && cargo test

See the root README and docs/DOCS.md for architecture and examples.

ESP32-7SEG

Mon, 13 Apr 2026 12:00:00 +0000

ESP32-7SEG

Repository · MIT License

Firmware for an ESP32 FireBeetle that drives an Adafruit 7-segment display (I2C backpack) and exposes a local web interface for timer modes and WiFi management.

Web interface

The built-in server serves a Timer Control panel in the browser:

Stopwatch and Countdown modes
Quick presets: 10 Min, 5 Min, 1 Min
Manual minutes and seconds fields plus Start
Reset WiFi to clear stored credentials when you need to re-provision the device

Hardware

ESP32 FireBeetle (v1.0)
Adafruit 7-segment display with I2C backpack
Breadboard and jumper wires (SCL, SDA, VCC, GND)

Software

PlatformIO project; see platformio.ini in the repo for board and library configuration.
The repository also includes Android and firmware subprojects for a fuller stack around the same device.

Quick start

git clone https://github.com/antoinebou12/ESP32-7SEG.git
cd ESP32-7SEG

Open the project in PlatformIO (or Arduino IDE with equivalent libraries), build, and flash the ESP32. After boot, check the serial monitor for the device IP address, then open it in a browser on the same network to use the web UI.

HDR-10bpp-Display-Test

Mon, 01 Jan 2024 12:00:00 +0000

HDR-10bpp-Display-Test

The HDR-10bpp-Display-Test is a simple yet effective way to verify the HDR 4K display capabilities on Linux systems, specifically testing the color depth of 10 bits per channel. This test is essential for anyone looking to ensure the highest quality display performance on their Linux environment.

Getting Started

HDR-10bpp-Display-Test: A test project for HDR 4K display on Linux.

Prerequisites

Before running the test, ensure your system has the following software installed:

Media box (Docker Compose)

Mon, 01 Jan 2024 12:00:00 +0000

Repository · MIT License

Compose-first homelab media stack: fetch content (torrents and Usenet), route it through *Arr apps, add subtitles where needed, then serve libraries with Plex or Jellyfin, with optional request and monitoring UIs. Configuration is meant to live under a shared ROOT tree on disk as in the repo’s docker-compose.yml.

What’s in the stack

Grouped roughly by role (see the compose file for images and volumes):

Download clients & indexers — Deluge, NZBGet, Jackett, NZBHydra2, Prowlarr
Automation — Sonarr, Radarr, Lidarr, Bazarr, CouchPotato; Readarr (books); Whisparr; Tdarr (transcoding)
Libraries & requests — Plex, Jellyfin, Ombi, Jellyseerr, Tautulli
Extras — Stash (specialized library organizer)
Ops — Netdata, Dashmachine, Filebrowser

Quick start

Install Docker and Compose on the host.
Clone the repo and configure environment variables (see the repo .env and paths like ROOT).
From the project directory:

git clone https://github.com/antoinebou12/MediaBoxDockerCompose.git
cd MediaBoxDockerCompose
docker compose up -d

If your setup still uses the older CLI, docker-compose up -d matches what the README describes.

RetroArch Web Games

Mon, 01 Jan 2024 12:00:00 +0000

RetroArch Web Games

retroarch-web-games: Docker Retroarch Web with pre-downloaded games.

This repository offers a self-hosted RetroArch web player, allowing you to enjoy classic NES, SNES, Genesis, and Gameboy games right in your browser. Set up is a breeze with our Docker container.

Features

Pre-loaded Games: Enjoy a variety of games for NES, SNES, Genesis, and Gameboy.
Self-hosted Web Player: Easily host the RetroArch player on your own server.
Easy Deployment: Utilize Docker for straightforward setup and deployment.

How to Use

To get started, run the Docker image with the following command:

Portfolio

Sat, 30 Dec 2023 12:00:00 +0000

Portfolio Project

This project is about creating a personal portfolio website using Hugo. You can view the project here.

D2COpenAIPlugin

Mon, 06 Sep 2021 22:42:23 +0800

D2COpenAIPlugin

You can view the project here You can use the plugin here

Join the ChatGPT plugins waitlist here!

D2COpenAIPlugin is a plugin for ChatGPT that enables users to generate diagrams using PlantUML or Mermaid. This plugin enhances the capabilities of ChatGPT by providing a seamless way to create diverse and creative diagrams.

Features

Generate diagrams using PlantUML or Mermaid
Seamless integration with ChatGPT
User-friendly interface for creating diagrams
Enhances the versatility of ChatGPT

Installation

Before using the plugin, make sure to have the following prerequisites installed:

DasherControl

Mon, 06 Sep 2021 22:42:23 +0800

DasherControl

Another Interactive Configurable Dashboard with Customisable GridItem with IFrame and Bookmark and other cool features with basic Container Controller for Docker made with Vuejs and Rust (rocket).

Why …

Everything is a web app that can be installed with a docker in a container. I want to manage all my web applications on one dashboard like Sonarr and Jellyfin without opening like 10 tabs in chrome (rip my ram). When using services like Portainer or the Docker CLI, it’s long to set up a reverse proxy with SSL to secure your homelab. So I want to write widgets (Applets) that can do all my tasks that I do on the daily when managing my homelab. Also, I want to make a simple dashboard with widgets (vuejs component) like Windows Vista, but on the web and saved in a database.

File Classifier

Mon, 06 Sep 2021 22:42:23 +0800

FileClassifier

FileClassifier is a Python-based command-line tool that automatically organizes files in a specified directory into predefined categories based on their file types. The tool supports multiple file formats, such as images, documents, videos, and more. It also comes with an extendable classifier that allows you to add topic modeling for better organization.

Features

Automatic file organization based on file types.
Predefined categories for common file formats.
Extendable classifier with topic modeling support.
Customizable output directory structure.
Lightweight and easy to use.

Installation

To install FileClassifier, simply clone the repository and install the required dependencies:

Movie Trailer Analyzer

Mon, 06 Sep 2021 22:42:23 +0800

You can view the project here

PlantUMLApi

Mon, 06 Sep 2021 22:42:23 +0800

PlantUMLApi

Python interface with the PlantUML web. PlantUML is a library for generating UML diagrams from a simple text markup language.

PyPlantUML is a simple remote client interface to a PlantUML server using the same custom encoding used by most other PlantUML clients.

This client defaults to the public PlantUML server but can be used against any server.

Installation

To install, run the following command:

pip install plantumlapi

pip install git+https://github.com/antoinebou12/plantumlapi

Command Line Usage

usage: plantuml.py [-h] [-o OUT] [-s SERVER] filename [filename ...]

Generate images from PlantUML defined files using PlantUML server

positional arguments: 
 filename file(s) to generate images from

optional arguments: 
 -h, --help show this help message and exit 
 -o OUT, --out OUT directory to put the files into 
 -s SERVER, --server SERVER 
 server to generate from; defaults to plantuml.com

Usage

from plantumlapi.plantumlapi import PlantUML

# Create a PlantUML object, set the output directory and server
p = PlantUML(url="https://www.plantuml.com/plantuml/duml/SyfFKj2rKt3CoKnELR1Io4ZDoSa70000")

# Generate a diagram from a string
p.process("@startuml\nclass Foo\n@enduml")

Docker

docker run -d -p 8080:8080 plantuml/plantuml-server:jetty

from pyplantuml import PlantUML

# Create a PlantUML object, set the output directory and server
p = PlantUML(url="http://localhost:8080/png")

# Generate a diagram from a string
p.process("@startuml\nclass Foo\n@enduml")

RawAnalyser

Mon, 06 Sep 2021 22:42:23 +0800

here

RawAnalyser

RawAnalyser is a simple Python-based tool designed for analyzing raw images. It provides functionality for black and white clipping detection, gamma calculation, and flatness with vignette detection (Algolux).

Prerequisites

You need to have Python 2.7 installed and the following libraries:

json
time
numpy
scipy
pyqt5
argparse
argcomplete
watchdog
logging
colorama
plotly
matplotlib

Usage

Run the RawAnalyser script:

python RawAnalyser.py <pathfolder> <pointfile> --func <clipping,gamma,vignette,histogram,noHist,basic, default all> --bl <black level, default 1024> --vignette <pathvignette>

Start the GUI:

python GUI.py

Check the value of the pixel and the color with the bayer pattern:

python RawPixel.pt input<file> x y --bitdepth <8,10,16,default 16>

Scripts Description

RawAnalyser.py

A script designed for checking black and white level of clipping in a raw image. You need to provide a path to the folder to be checked and a json file with the region of interest and the gray patches.

Serilog.Sinks.SentrySDK

Mon, 06 Sep 2021 22:42:23 +0800

Serilog.Sinks.SentrySDK

A Serilog sink for Sentry that simplifies error and log management in your applications.

Based on serilog-contrib/serilog-sinks-sentry

Project Status

Available Packages

	Package	Nuget
Serilog.Sinks.SentrySDK	Package Link
Serilog.Sinks.SentrySDK.AspNetCore	Package Link

Installation

The library is available as a Nuget package.

You can install it with the following command:

dotnet add package Serilog.Sinks.SentrySDK
Install-Package Serilog.Sinks.SentrySDK

Demos

Demos demonstrating how to use this library can be found here.

Getting Started

Adding the Sentry Sink

Add the Sentry sink to your Serilog logger configuration, so that the logs will be sent to your Sentry instance. The Sentry DSN must be provided.

WordUnveil

Mon, 06 Sep 2021 22:42:23 +0800

WordsUnveil

WordsEnigma is a multilingual twist on the popular game Wordle, providing a fun and educational way to learn new languages. Built with advanced technologies for efficiency and a seamless gaming experience.

Getting Started

Development Setup WordsUnveil is a multilingual twist on the popular game Wordle, providing a fun and educational way to learn new languages. Built with advanced technologies for efficiency and a seamless gaming experience.

Getting Started

Development Setup

MarketWatch API Python library

Mon, 06 Sep 2021 12:00:00 +0000

Marketwatch API Python Library

MarketWatch

Documentation

A Python libary to interact with the MarketWatch Stock Market Game Based on code from

Feature

Logging in and out of the site
Getting the current price of a stock
Getting information about games on the site
Buying, selling, shorting, and covering stocks in a game
Creating, adding to, getting, and deleting watchlists
Getting, adding to, and deleting items from a portfolio
Getting and cancelling pending orders
Checking if the game is down

Installation

pip install marketwatch

pip install git+https://github.com/antoinebou12/marketwatch.git

git clone https://github.com/antoinebou12/marketwatch.git

Usage

Here are some examples of how you can use the MarketWatch class: