{"id":20231060,"url":"https://github.com/omar-abdelgawad/sperm-keypoint-detection","last_synced_at":"2025-07-24T19:13:08.381Z","repository":{"id":230432744,"uuid":"692075499","full_name":"omar-abdelgawad/sperm-keypoint-detection","owner":"omar-abdelgawad","description":"Trained YOLOv8 model on Pose estimation with sperm cells.","archived":false,"fork":false,"pushed_at":"2024-07-17T23:54:17.000Z","size":56,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2024-11-14T07:46:30.068Z","etag":null,"topics":["computer-vision","keypoint-detection","pose-estimation","sperm-detection","sperm-tracking","yolov8","yolov8-pose","yolov8x"],"latest_commit_sha":null,"homepage":"https://omar-abdelgawad.github.io/sperm-keypoint-detection/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/omar-abdelgawad.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2023-09-15T13:59:51.000Z","updated_at":"2024-07-24T14:32:28.000Z","dependencies_parsed_at":"2024-03-29T18:22:56.870Z","dependency_job_id":"96d4d951-a6ff-4a5c-8b55-41e77985d76c","html_url":"https://github.com/omar-abdelgawad/sperm-keypoint-detection","commit_stats":null,"previous_names":["omar-abdelgawad/sperm-keypoint-detection"],"tags_count":2,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omar-abdelgawad%2Fsperm-keypoint-detection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omar-abdelgawad%2Fsperm-keypoint-detection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omar-abdelgawad%2Fsperm-keypoint-detection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omar-abdelgawad%2Fsperm-keypoint-detection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/omar-abdelgawad","download_url":"https://codeload.github.com/omar-abdelgawad/sperm-keypoint-detection/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":233825193,"owners_count":18736133,"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":["computer-vision","keypoint-detection","pose-estimation","sperm-detection","sperm-tracking","yolov8","yolov8-pose","yolov8x"],"created_at":"2024-11-14T07:45:02.820Z","updated_at":"2025-01-14T00:21:05.101Z","avatar_url":"https://github.com/omar-abdelgawad.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# sperm-keypoint-detection\n\nTrained YOLOv8 model on Pose estimation with sperm cells.\n\nNote: The application comes in a \"dist\" folder containing one executable called \"app.exe\" and a \"model\" folder. It is advised to ignore everything in the \"dist\" folder except the executable file.\n\n## Introduction\n\nThe first version of this application uses a command line interface. This means you have to run the executable with some arguments.\u003cbr\u003e\nThe following 3 are the current required arguments:\u003cbr\u003e\n- \"--input_path\" or \"-i\" is the relative or absolute path of the input video.\n- \"--magnif\" or \"-m\" is the magnification used for capturing the video.\n- \"--rate\" or \"-r\" is the sampling rate for the input video. Ex: 736.\n## Usage\nIn order to use the application, follow the following steps.\u003cbr\u003e\n1. Navigate to the parent folder of the \"dist\" fodler.\n1. press shift+right click on any empty space. This should open a pop-up window.\n1. press \"open in terminal\". You should find a powershell terminal opened with the project path ready.\n1. run \n    ```bash\n    .\\app.exe --input_path your/input/path --magnif your_magnif --rate your_fps\n    ```\n    an example would be like the following.\n    ```bash\n    .\\app.exe --input_path '.\\f16 736.79.avi' --magnif 40x --rate 736\n    ```\n    You could also write a short version.\n    ```bash\n    .\\app.exe -i '.\\f16 736.79.avi' -m 40x -r 736\n    ```\n1. The executable should run succesfully.\n\n## Notes\n1. The application will automatically look for gpu acces. If cuda is not installed it will use the cpu instead. However using a cpu could be significantly slower (About 20x slower). \n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fomar-abdelgawad%2Fsperm-keypoint-detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fomar-abdelgawad%2Fsperm-keypoint-detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fomar-abdelgawad%2Fsperm-keypoint-detection/lists"}