{"id":15567224,"url":"https://github.com/iml1111/opencv_pose_detection","last_synced_at":"2025-04-11T22:50:26.297Z","repository":{"id":103823006,"uuid":"200085199","full_name":"iml1111/opencv_pose_detection","owner":"iml1111","description":"Study for Openpose","archived":false,"fork":false,"pushed_at":"2019-09-07T17:06:32.000Z","size":7,"stargazers_count":4,"open_issues_count":0,"forks_count":7,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-25T18:45:29.632Z","etag":null,"topics":["computer-vision","human-pose-estimation","opencv","pose-estimation","python"],"latest_commit_sha":null,"homepage":"","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/iml1111.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":"2019-08-01T16:32:58.000Z","updated_at":"2023-08-23T01:54:08.000Z","dependencies_parsed_at":"2023-07-15T23:16:36.060Z","dependency_job_id":null,"html_url":"https://github.com/iml1111/opencv_pose_detection","commit_stats":{"total_commits":5,"total_committers":2,"mean_commits":2.5,"dds":0.4,"last_synced_commit":"3a15f6f478c205f287e97b4237d713cee9acb076"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iml1111%2Fopencv_pose_detection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iml1111%2Fopencv_pose_detection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iml1111%2Fopencv_pose_detection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iml1111%2Fopencv_pose_detection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/iml1111","download_url":"https://codeload.github.com/iml1111/opencv_pose_detection/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248492988,"owners_count":21113161,"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","human-pose-estimation","opencv","pose-estimation","python"],"created_at":"2024-10-02T17:10:26.399Z","updated_at":"2025-04-11T22:50:26.289Z","avatar_url":"https://github.com/iml1111.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# opencv_pose_detection\nStudy for OpenPose\u003cbr\u003e\n사람을 움직임 및 포즈를 탐지하는 OpenPose 모델 실습 코드입니다.\n\n# Requirement\n\n1. 가장 먼저 MPI 및 COCO 모델이 필요합니다. 본인이 해당 알고리즘을 통해\u003cbr\u003e \n직접 학습시킨 모델이 있다면 그것을 사용해도 무방합니다.\n\nMPII Model\n\nhttp://posefs1.perception.cs.cmu.edu/OpenPose/models/pose/mpi/pose_iter_160000.caffemodel\n\nCOCO Model\n\nhttp://posefs1.perception.cs.cmu.edu/OpenPose/models/pose/coco/pose_iter_440000.caffemodel\n\n2. 해당 모델을 사용할 수 있는 OpenCV 라이브러리가 필요합니다.\n```python\npip install opencv-python\n```\n\n# Getting Started\n1. 먼저 설치한 각각의 링크에서 설치한 모델을 해당 코드의 model 디렉터리 내에 넣습니다.\u003cbr\u003e\n그리고 다음과 같이 각각의 모델 및 파라미터 파일 이름을 다음과 같이 바꿔주세요.\n```python\nλ cd model\\\ntest.md\n\nλ ls\ncoco.caffemodel  coco.prototxt  mpi.caffemodel  mpi.prototxt  test.md\n```\n\n2. input 디렉터리 내에 움직임을 탐지할 이미지 혹은 비디오 파일을 넣어줍니다.\u003cbr\u003e\nImage: jpg or png or jpeg\u003cbr\u003e\nVideo: mp4 or avi\u003cbr\u003e\n\n3. 이미지를 탐지할 것이라면 image.py, 비디오를 탐지할 것이라면 video.py를 실행시켜 주세요.\n```python\n\u003e\u003e\u003e python image.py\nOR\n\u003e\u003e\u003e python video.py\n```\n4. 생성된 미디어 파일은 output 디렉터리에서 확인할 수 있습니다.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fiml1111%2Fopencv_pose_detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fiml1111%2Fopencv_pose_detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fiml1111%2Fopencv_pose_detection/lists"}