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It is built using Python and various computer vision and deep learning libraries.\n\n## Table of Contents\n\n- [Features](#features)\n- [Getting Started](#getting-started)\n- [Prerequisites](#prerequisites)\n- [Installation](#installation)\n- [Usage](#usage)\n- [Models](#models)\n- [Configuration](#configuration)\n- [License](#license)\n\n## Features\n\n- Detects objects in real time from video or webcam feed\n- Configurable to detect multiple classes\n- Easily extendable to different models\n- Supports popular object detection models like YOLO, SSD, and Faster R-CNN\n- Optional support for GPU acceleration for faster detection\n\n## Getting Started\n\nTo get a local copy up and running, follow these steps.\n\n### Prerequisites\n\n- Python 3.6 or higher\n- OpenCV\n- PyTorch / TensorFlow (depending on the model)\n- CUDA (optional, for GPU support)\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fharshs472%2Freal-time-object-detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fharshs472%2Freal-time-object-detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fharshs472%2Freal-time-object-detection/lists"}