https://github.com/harshs472/real-time-object-detection

Real time object detection that detects approximately 80 objects!!!!
https://github.com/harshs472/real-time-object-detection

coco numpy python yolov3

Last synced: about 1 month ago
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Real time object detection that detects approximately 80 objects!!!!

• Host: GitHub
• URL: https://github.com/harshs472/real-time-object-detection
• Owner: harshs472
• Created: 2024-10-30T10:21:11.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-10-30T10:35:14.000Z (4 months ago)
• Last Synced: 2024-11-17T16:36:10.057Z (3 months ago)
• Topics: coco, numpy, python, yolov3
• Language: Python
• Homepage:
• Size: 10.7 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Real-time-object-detection

Real time object detection that detects approximately 80 objects!!!!

This project is a real-time object detection system that uses deep learning models to identify and classify objects in live video streams. It is built using Python and various computer vision and deep learning libraries.

## Table of Contents

- [Features](#features)

- [Getting Started](#getting-started)

- [Prerequisites](#prerequisites)

- [Installation](#installation)

- [Usage](#usage)

- [Models](#models)

- [Configuration](#configuration)

- [License](#license)

## Features

- Detects objects in real time from video or webcam feed

- Configurable to detect multiple classes

- Easily extendable to different models

- Supports popular object detection models like YOLO, SSD, and Faster R-CNN

- Optional support for GPU acceleration for faster detection

## Getting Started

To get a local copy up and running, follow these steps.

### Prerequisites

- Python 3.6 or higher

- OpenCV

- PyTorch / TensorFlow (depending on the model)

- CUDA (optional, for GPU support)