C

computer-vision

Ce projet porte sur la conception d'une application de Computer Vision capable d'estimer l'âge d'une personne à partir d'une photographie.

L'objectif est d'explorer l'utilisation du Deep Learning appliqué aux images et de construire une chaîne allant du prétraitement des images jusqu'à l'inférence du modèle dans une application.

Travaux réalisés :

Préparation et organisation du dataset d'images. Prétraitement et normalisation des images. Mise en place du pipeline de préparation des données. Expérimentation d'une architecture de Deep Learning pour la prédiction de l'âge. Entraînement du modèle sur les données préparées. Évaluation des performances du modèle. Intégration du modèle dans une application permettant de réaliser une prédiction à partir d'une photographie.

Local-first, vision-LLM CAPTCHA solver for AI agents — MCP plugin + NopeCHA-style HTTP job API over any Chromium

A pipeline for curating and sanitizing large-scale image datasets.

A Birder extension for CLIP-style image-text modeling and multimodal computer vision workflows.

An open-source computer vision framework for wildlife image analysis, featuring state-of-the-art models for species classification and detection.

TFM: sistema FOSS de control hands-free de cursor mediante mirada y gestos para personas con paralisis motora severa.

Photo-realistic single-image super-resolution (SRGAN, x4) in TensorFlow/TensorLayer — refactored OO training/evaluation pipeline with research experiment branches.

Rendering and point-cloud generation toolkit for the PartNet and ShapeNet 3D shape datasets (ICCV 2021).

Enterprise-grade Medical AI Platform with FastAPI, Kubernetes, Monitoring and AKS-ready deployment architecture.

AR-примерка очков в браузере. MediaPipe FaceLandmarker (478 точек лица) + OpenAI GPT-4o Vision + DALL-E 3. Без установки, без сервера — работает локально в браузере.

🥇 MedViT-X: Vision Transformer for Medical Image Intelligence

Follow me - Vision is a vision-based control system designed to automate the navigation of remote-controlled objects like drones or cars. Using computer vision, the system detects a target object and generates commands to autonomously follow the subject in real time. Ideal for applications where a vehicle needs to track and follow a designated guide without manual intervention. For example, it could be used to help an elderly person by having a shopping cart follow them around a store.

This project is part of a larger, future initiative called Follow Me !

Proyecto desarrollado para parqueadero con el fin de detectar la cantidad de salida y entrada de vehiculos (motos y carros) mediante cámaras.

[2023] Interactive thermal DJ system translating body heat into music control. MLX90640 IR camera detects thermal events that trigger tempo changes, scratching, and track selection via automated Mixxx control with real-time thermal visualization.

A GUI-based Python utility engineered to remove image backgrounds using a suite of AI models. It streamlines testing by processing one image with multiple algorithms (rembg, mediapipe) and saving separate, transparent outputs for easy side-by-side comparison.

Real-time YOLOv7/YOLOv7‑Tiny object detection on low‑powered Jetson Orin Nano using TensorRT and a multi‑threaded ROS 1 pipeline for edge robotics, drone monitoring.

A CBIR and classification system that uses both representation learning and handcrafted features to build the image descriptors.

Population density tracker using Computer Vision.

3D Hand Pose Estimation using Multi-View CNNs