genert/real-time-object-detection-with-webrtc-and-yolo
A solution code for the real time object detection with WebRTC and YOLO article - https://softwarescalability.com/editorial/real-time-object-detection-with-webrtc-and-yolo
This solution helps you identify and track objects in live video streams from cameras or webcams, providing immediate visual feedback on what's detected. It takes in a real-time video feed and highlights objects like people, cars, or other specified items directly on the video. This is ideal for security professionals, manufacturing quality control, or anyone needing instant visual analysis of live video.
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Use this if you need to automatically detect and show specific objects within a live video feed without significant delay.
Not ideal if you primarily need to analyze pre-recorded video files or require extremely precise, high-latency object classification for static images.
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Python
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Last pushed
Dec 15, 2023
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