O

object detection

Cette application utilise un modèle YOLO personnalisé que j'ai entraîné en 100 epochs pour détecter des drones en temps réel à partir d'une webcam ou bien sur des photos et vidéos. Elle est développée avec Python, PyQt6, et utilise OpenCV pour la capture vidéo et la manipulation d'images.

This python package is meant to provide a high level interface to facilitate the evaluation of object detection and segmentation algorithms that operate on 3D volumetric data.

A landcover classification tool based for humans. Classifier does "traditional" supervised and unsupervised learning. Image segmentation and soon also object detection

Patima is an AI based app that is aimed to inpaint Buddha Statues which are remaining headless. Generative AI combined with Object detections and segmentation are expected to use here.

This is a combination of a segmentation model and a detection model trained on seated Buddha Statue dataset collected from Google Images based on YOLO v8. This can be used to segment seated Buddha Statue objects from images, and then add a mask to the statue head. This is expected to be used as inputs to an inpainting work based on GAN.

This is a detection model trained on seated Buddha Statue dataset collected from Google Images. The model can be used to detect seated Buddha Statue objects from images under two classes as; Statue head and Statue body. The model is based on YOLO v8

Basic Requisites for Algorithms on iMages toolBOX

Darknet got illuminated by PyTorch ~ Meet Lightnet

Sortify is a minimalistic application aiming to leverage AI and object recognition to help with proper waste management.

Train YOLOv5 for breed classification on Oxford Pets III dataset from scratch on Google Colab, and serve through Dockerized implementation of a flask-based HTML/JS frontend and an asynchronous API service on FastAPI. Use of MLFlow for logging.

This repository contains all my work related to the study of effectiveness of wavelet feature extraction on: Pose estimation Human segmentation Object detection Image Processing

Just a simple object detection tested on RoboCup simulation but actually used for my own robot grasping capability.

This project develops video analytics towards anomaly detection on edge for smart cities under low light conditions: https://iotgarage.net/projects/VideoAnalyticstowardsAnomalyDetectionontheEdge.html

TF-CCTV is a Coral compatible Tensorflow model designed to process CCTV footage. Moved to Codeberg https://codeberg.org/Curid/TF-CCTV

Implementation of Movement Aid for the Visually-Impaired by Using CNN based Learning Architecture

ORIS (Object Recognition Intelligent System) is a service to detect actors, faces, and other object on live streaming HLS