sovit-123/Traffic-Light-Detection-Using-YOLOv3
Traffic light detection using deep learning with the YOLOv3 framework. PyTorch => YOLOv3
This project helps self-driving vehicle systems recognize traffic lights in real-time video feeds. It takes live camera footage as input and outputs the detected location and state (red, green, warning, left-turn signals) of traffic lights. Autonomous driving engineers and researchers would use this to build or improve their vehicle's perception capabilities.
No commits in the last 6 months.
Use this if you need a reliable way to detect various traffic light states in video for autonomous driving applications.
Not ideal if you require perfect performance in all conditions, as night-time detection is still being improved, or if you don't have access to a powerful GPU for training.
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GPL-3.0
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Last pushed
Sep 17, 2020
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