Using yolov3 & yolov4 weights objects are being detected from live video frame along with the measurement of the object from the camera without the support of any extra hardware device.

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.

Implementation of the paper "YOLACT Real-time Instance Segmentation" in Tensorflow 2

Flutter App real-time object detection with Tensorflow Lite

Fast Moving Objects Detection (demo version)

Real time object detection with OpenCV and deep learning models

Tensorflow 2.x implementation YOLACT

C++ implementation of YOLOv6 using TensorRT

Real-Time object detection app, built with Tensorflow.js.

Plug and Play Real-Time Object Detection App with Tensorflow and OpenCV. Run on Jetson TX2

Real Time Video Feed with Object Detection using Yolov5 (custom or pre-trained model) deployed on web browser using Flask backend.

Real-time American Sign Language (ASL) letters detection, via PyTorch, OpenCV, YOLOv5, Roboflow and LabelImg 🤟

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.

ai app (text classifier, image classifier, real time object detection) using flutter and tflite packages

This project addresses the escalating challenge of gun violence through the development of an advanced gun detection system.

This project is a multi-AI app that features 🔢 digit recognition, 🕵️ object detection, and ⚡ real-time detection using Flutter and TensorFlow Lite.

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

This project uses YOLOv5 architecture for creating guns and knifes real time detection