|about 1 month ago||about 1 year ago|
|MIT License||MIT License|
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Beginner tutorial for Traffic Light Detection using Opencv and YOLOv3
1 project | reddit.com/r/coolgithubprojects | 1 Mar 2021
Traffic Light Detection for Beginners Using OpenCV and YOLOv3
1 project | news.ycombinator.com | 1 Mar 2021
I made a traffic light detection program with a self-trained dataset
2 projects | reddit.com/r/computervision | 25 Feb 2021
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?
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
imagehub - Receive and save images from multiple Raspberry Pi's
YOLO-Mosaic - Perform mosaic image augmentation on data for training a YOLO model
SkunkBooth - Text based command line webcam photobooth app
opencv-steel-darts - Automatic scoring system for steel darts using OpenCV, a Raspberry Pi 3 Model B and two webcams.
Batch-crop-images - A tool for cropping similar images in a batch with an interface.
sort - Simple, online, and realtime tracking of multiple objects in a video sequence.
lane-detection-opencv - This is for detecting any lane in the road to identify the road map
rock_paper_scissors - Rock, paper, scissors - beginner python project