I made a traffic light detection program with a self-trained dataset

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  • Beginner-Traffic-Light-Detection-OpenCV-YOLOv3

    This is a python program using YOLO and OpenCV to detect traffic lights. Works in The Netherlands, possibly other countries

    This is my first CV project. I made a Python program that identifies Traffic Lights in video's. The dataset I made consists of hundreds of images of Traffic lights I made myself using my Dashcam. The training was done with a Google Colab GPU.Please take a look at my project and let me know what you think! (https://github.com/initdebugs/Beginner-Traffic-Light-Detection-OpenCV-YOLOv3)

  • sort

    Simple, online, and realtime tracking of multiple objects in a video sequence.

    congratz! that's a great project. since you have the detector operating on videos, you could add a simple tracking-by-detection method like SORT. https://github.com/abewley/sort#using-sort-in-your-own-project it's really easy to use, and creates temporally constistent tracks by associating detections in successive frames.

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

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