https://github.com/der-penz/scored

Single Camera automated darts scoring using keypoint detection
https://github.com/der-penz/scored

cv darts-scoring deep-learning keypoint-detection yolo

Last synced: about 1 year ago
JSON representation

Single Camera automated darts scoring using keypoint detection

• Host: GitHub
• URL: https://github.com/der-penz/scored
• Owner: Der-Penz
• Created: 2025-03-11T16:09:05.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-03-18T20:20:00.000Z (about 1 year ago)
• Last Synced: 2025-03-18T21:26:30.736Z (about 1 year ago)
• Topics: cv, darts-scoring, deep-learning, keypoint-detection, yolo
• Language: Jupyter Notebook
• Homepage:
• Size: 2.92 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Scored

## Single Camera automated darts scoring using keypoint detection

The project aims to detect dart scores by using a yolo v11 keypose model on a single camera image to predict the score of the thrown darts.

4 Keypoints on the dartboard, the darts tip and flight are detected.

![image](images/detected_keypoints.png)

After detecting the keypoints, the 4 dartboard keypoints are used to apply a perspective transform to warp the perspective in a top down view. With the warped points of the dart tips the score of the dart can easily be calculated by their distance to the center and their angle.

![image](images/warped_dartboard.png)

## Training

To see how to train your own model and how to prepare and create a dataset, refer to [Train Instructions](train.md)