opencv-steel-darts
Beginner-Traffic-Light-Detection-OpenCV-YOLOv3
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opencv-steel-darts | Beginner-Traffic-Light-Detection-OpenCV-YOLOv3 | |
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2 | 3 | |
211 | 34 | |
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0.0 | 3.2 | |
almost 4 years ago | about 3 years ago | |
Python | Python | |
GNU General Public License v3.0 only | MIT License |
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opencv-steel-darts
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Photo-recognition scoring app
Big challenge is always going to be calibration of the cameras. The software problem is tractable. Check this project out: https://github.com/hanneshoettinger/opencv-steel-darts and I believe there's a Facebook group where some developers collaborate.
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When you play online and you get a 180 almost every time you get 1 out of 5 rating afterwards . Ppfff there is a lot of cheating online. Any suggestions are welcome for better platforms
I never played online. Just asking myself how you can cheat there? Is it cheating like showing recorded 180s or how they do it? I was thinking of software that tracks the score (like https://github.com/hanneshoettinger/opencv-steel-darts). Are there platforms supporting it?
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?
vidgear - A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:
SkunkBooth - Text based command line webcam photobooth app
imagezmq - A set of Python classes that transport OpenCV images from one computer to another using PyZMQ messaging.
Batch-crop-images - A tool for cropping similar images in a batch with an interface.
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
YOLO-Mosaic - Perform mosaic image augmentation on data for training a YOLO model
imagehub - Receive and save images from multiple Raspberry Pi's
lane-detection-opencv - This is for detecting any lane in the road to identify the road map
sort - Simple, online, and realtime tracking of multiple objects in a video sequence.