{"id":26651717,"url":"https://github.com/der-penz/scored","last_synced_at":"2025-03-25T03:05:14.563Z","repository":{"id":283157690,"uuid":"946751323","full_name":"Der-Penz/Scored","owner":"Der-Penz","description":"Single Camera automated darts scoring using keypoint detection","archived":false,"fork":false,"pushed_at":"2025-03-18T20:20:00.000Z","size":3064,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-18T21:26:30.736Z","etag":null,"topics":["cv","darts-scoring","deep-learning","keypoint-detection","yolo"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Der-Penz.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-03-11T16:09:05.000Z","updated_at":"2025-03-18T20:20:04.000Z","dependencies_parsed_at":"2025-03-18T21:37:52.429Z","dependency_job_id":null,"html_url":"https://github.com/Der-Penz/Scored","commit_stats":null,"previous_names":["der-penz/scored"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Der-Penz%2FScored","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Der-Penz%2FScored/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Der-Penz%2FScored/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Der-Penz%2FScored/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Der-Penz","download_url":"https://codeload.github.com/Der-Penz/Scored/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245388764,"owners_count":20607164,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cv","darts-scoring","deep-learning","keypoint-detection","yolo"],"created_at":"2025-03-25T03:05:14.142Z","updated_at":"2025-03-25T03:05:14.557Z","avatar_url":"https://github.com/Der-Penz.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Scored\n\n## Single Camera automated darts scoring using keypoint detection\n\nThe 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.\n4 Keypoints on the dartboard, the darts tip and flight are detected.\n\n![image](images/detected_keypoints.png)\n\nAfter 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.\n\n![image](images/warped_dartboard.png)\n\n## Training\n\nTo see how to train your own model and how to prepare and create a dataset, refer to [Train Instructions](train.md)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fder-penz%2Fscored","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fder-penz%2Fscored","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fder-penz%2Fscored/lists"}