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Beginner-Traffic-Light-Detection-OpenCV-YOLOv3
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1 | 3 | |
71 | 34 | |
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4.8 | 3.2 | |
7 months ago | about 3 years ago | |
Python | Python | |
MIT License | MIT License |
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Beginner-Traffic-Light-Detection-OpenCV-YOLOv3
- Beginner tutorial for Traffic Light Detection using Opencv and YOLOv3
- Traffic Light Detection for Beginners Using OpenCV and YOLOv3
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I made a traffic light detection program with a self-trained dataset
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)
What are some alternatives?
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imagezmq - A set of Python classes that transport OpenCV images from one computer to another using PyZMQ messaging.
JPEG-Image-Compressor - A Python program that compresses raw images based on the JPEG compression algorithm.
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
SmoothStream - Webcam, PiCamera streaming over the network with Python made easy.
YOLO-Mosaic - Perform mosaic image augmentation on data for training a YOLO model