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yolo

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

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.

A collection of Computer Vision projects and code samples

IRMA : Image Recognition and Medical Analysis is a CNN model app to recognize and label brain tumors in MRI scans.

Darknet got illuminated by PyTorch ~ Meet Lightnet

Yolov5-segmentation identity card detection and rotation with the NCNN and OpenCV framework.

A 3rd year course project at Irkutsk State University. Used custom dataset from Yandex.Toloka to train. The dataset was provided by github.com/xitowzys

This repository provides Shinobi Docker images regulary built from the official Shinobi Docker image repository and microservice Shinobi Docker images.

We are working on a cascade detector based on YOLOv5s and a classifier, for detecting both shapes and characters, and we're planning to recognize also colors in the future.

A simple NN that can increase the accuracy of existing object detectors.

AlexeyAB darknet version with improvements with test/demo

This project deals with training of convolutional neural network for licence plate detection in video. Darknet technology was used for detection, specifically the YOLOv3-tiny neural network model.

a brief guide to making a custom YOLOv3 detector, from image annotation to model training