Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

This project is a real-time object detection system that leverages the YOLOv5 model for detecting objects in a video stream from a webcam or other video input. The system is built using a Flask web application to serve the video feed, providing an interactive, real-time experience directly in a browser.

A comprehensive video analysis and heatmap generation tool based on Ultralytics YOLOv8.

YOLOXのTorchscriptモデルで推論

Real-time object detection system utilizing the SSD MobileNet V2 FPNLite 320x320 model for high-speed, efficient recognition.

Smart assistant for the blind.

Real time object detection and detection storage.

Web-based OpenCV project; detects the objects in real time with good accuracy. Objects will appear live on web page in a squared area.

This project builds a real-time object detection system using a Raspberry Pi and a camera. It captures live video, processes it with a TensorFlow Lite model to detect specific objects, and saves important events as video files.

A real time object detection model created in python using YOLO

This project aims to do real-time object detection through a laptop cam using OpenCV. The idea is to loop over each frame of the video stream, detect objects, and bound each detection in a box.

Real time object detection using video or camera

The aim of this project is to detect the objects in real time with good accuracy. Objects will appear live on webcam in a squared or circled area.

YOLOv8 ve OpenCV kullanarak meyve ve sebze tespiti gerçekleştiren bir görüntü işleme uygulaması.

Object Detection using yolo weights

Experimental implementation of real-time object detection algorithm YOLOR on embedded systems (edge computing devices)

Takes a youtube video/livestream and performs object detection by using the YOLO or SSD algorithm

A sample project for super fast real time object detection and counting using CHOOCH AI API and OpenCV.

This repository contains the code for real-time object detection. I'm using video stream coming from webcam. MobileNet-SSD and OpenCv has been used as base-line approach. TensorFlow object detection API has been used in revised approach.