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The app allows users to stream live video from their camera in real-time.\n\n![Live-feed Streaming Web App](https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRdogpLEwM-WtDxAUdmOxGIcYFC9FJ1zY37s5jkY5Ze1VXqnEqm7v_6j5zVCP_Gl5SoZBA\u0026usqp=CAU)\n\n## Features\n\n- Live video streaming from your camera.\n- Real-time video processing using OpenCV.\n- Minimal and user-friendly interface.\n\n## Getting Started\n\n### Prerequisites\n\nBefore running the application locally, make sure you have the following prerequisites installed:\n\n- Python 3.6 or higher\n- Flask\n- OpenCV\n- Numpy\n\nYou can install these dependencies using the following command:\n\n```bash\npip install Flask opencv-python numpy\n```\n\n### Usage\n\nOpen your web browser and go to http://127.0.0.1:5000.\n\nYou will see the live video stream from your camera displayed on the web page.\n\nEnjoy real-time video processing with OpenCV! (You can customize the processing code in app.py to suit your needs.)\n\n### Usage \nThe live-feed streaming functionality may not work on all browsers, and it requires user permission to access the camera. The app may also require additional configuration for deployment in production environments.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fraghul-m%2Fsimple_opencv-live-streaming-webapp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fraghul-m%2Fsimple_opencv-live-streaming-webapp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fraghul-m%2Fsimple_opencv-live-streaming-webapp/lists"}