{"id":25433835,"url":"https://github.com/liinen/musicrecommender_flask","last_synced_at":"2026-02-28T06:26:02.943Z","repository":{"id":51071399,"uuid":"370342724","full_name":"LiiNen/MusicRecommender_Flask","owner":"LiiNen","description":"2021-1 Ajou Univ. Machine Learning Team project: music recommender website with flask","archived":false,"fork":false,"pushed_at":"2021-06-02T15:58:48.000Z","size":4202,"stargazers_count":3,"open_issues_count":0,"forks_count":3,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-14T19:11:58.754Z","etag":null,"topics":["flask","html-css-javascript","python"],"latest_commit_sha":null,"homepage":"","language":"Python","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/LiiNen.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}},"created_at":"2021-05-24T12:22:46.000Z","updated_at":"2025-02-16T13:23:58.000Z","dependencies_parsed_at":"2022-08-27T05:03:28.110Z","dependency_job_id":null,"html_url":"https://github.com/LiiNen/MusicRecommender_Flask","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/LiiNen/MusicRecommender_Flask","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LiiNen%2FMusicRecommender_Flask","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LiiNen%2FMusicRecommender_Flask/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LiiNen%2FMusicRecommender_Flask/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LiiNen%2FMusicRecommender_Flask/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/LiiNen","download_url":"https://codeload.github.com/LiiNen/MusicRecommender_Flask/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LiiNen%2FMusicRecommender_Flask/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29926360,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-27T19:37:42.220Z","status":"online","status_checked_at":"2026-02-28T02:00:07.010Z","response_time":90,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["flask","html-css-javascript","python"],"created_at":"2025-02-17T05:29:05.849Z","updated_at":"2026-02-28T06:26:02.914Z","avatar_url":"https://github.com/LiiNen.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# MusicRecommender_Flask\n## Initiation\n```bash\ngit clone\ncd project\npip install -r requirements.txt\n(macOS일 경우)\nbrew install libomp\n```\n## Web development\n```bash\nset FLASK_ENV=development\npython app.py\n```\n## Using Audio Utilities\n```\n오디오 처리에 사용하는 Spleeter와 Crepe는 Tensorflow와 Keras를 사용하므로\n가상환경을 사용중일 경우 반드시 고려해주세요!\n```\n- FFmpeg 설치: \u003chttps://hello-bryan.tistory.com/230\u003e 링크 참조\n### utils/wavParser.py\n  - 기능\n    - 지정한 디렉토리 내의 오디오 파일을 원하는 길이만큼 편집\n    - 지정한 디렉토리 내의 오디오 파일을 WAV로 변환\n  - 변수\n    - ROOT_PATH: 상위 폴더 경로 지정\n    - BASE_INPUT_PATH: ROOT_PATH 아래의 원본 폴더명\n    - BASE_OUTPUT_PATH: 변환한 WAV 출력할 폴더명\n### utils/separateVocals.py\n - 기능\n   - [Spleeter](https://github.com/deezer/spleeter)를 사용하여 지정한 디렉토리 내의 오디오 파일을 보컬과 배경음악으로 분리\n - 변수\n    - ROOT_PATH: 상위 폴더 경로 지정\n    - INPUT_PATH: ROOT_PATH 아래의 WAV파일 폴더명\n    - VOCAL_OUT_PATH: 보컬 분리한 파일 출력할 폴더명\n### utils/createPitchList.py\n - 기능\n   - [Crepe](https://github.com/marl/crepe)를 사용하여 지정한 디렉토리 내의 오디오 파일의 Pitch값을 0.1초 단위로 분석\n   - 분석결과 csv로 저장\n   - 분석결과에서 더 나은 결과를 위해 데이터 정제 (Optional: 정제값 csv로 저장)\n   - 분석결과(혹은 정제결과)를 바탕으로 Pitch mean, max값을 산출하여 단일 csv로 저장\n - 변수\n    - ROOT_PATH: 상위 폴더 경로 지정\n    - VOCAL_PATH: 보컬 분리된 파일이 있는 폴더명\n    - PREDICT_OUT_PATH: 음정 예측을 돌린 csv 파일 저장 폴더명\n    - PREDICT_RESULT_PATH: 모든 음정 예측값을 정리한 단일파일 출력 폴더명\n    - REFINE_OUT_PATH: (Optional) 음정 예측값을 보정한 후의 csv 파일 저장 폴더명\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fliinen%2Fmusicrecommender_flask","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fliinen%2Fmusicrecommender_flask","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fliinen%2Fmusicrecommender_flask/lists"}