{"id":50686868,"url":"https://github.com/alextompkins/piano-vision","last_synced_at":"2026-06-08T23:37:08.457Z","repository":{"id":114033574,"uuid":"191758667","full_name":"alextompkins/piano-vision","owner":"alextompkins","description":"Automatic transcription and assisted tutoring for amateur piano players using classical computer vision techniques. ","archived":false,"fork":false,"pushed_at":"2025-01-21T07:44:08.000Z","size":38,"stargazers_count":5,"open_issues_count":0,"forks_count":2,"subscribers_count":0,"default_branch":"master","last_synced_at":"2026-06-08T23:37:06.944Z","etag":null,"topics":[],"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/alextompkins.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":"2019-06-13T12:27:48.000Z","updated_at":"2025-01-21T07:44:12.000Z","dependencies_parsed_at":null,"dependency_job_id":"9879c6c7-aea9-4c0b-ae55-8cbb36436b88","html_url":"https://github.com/alextompkins/piano-vision","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/alextompkins/piano-vision","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alextompkins%2Fpiano-vision","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alextompkins%2Fpiano-vision/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alextompkins%2Fpiano-vision/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alextompkins%2Fpiano-vision/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/alextompkins","download_url":"https://codeload.github.com/alextompkins/piano-vision/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alextompkins%2Fpiano-vision/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34085321,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-08T02:00:07.615Z","response_time":111,"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":[],"created_at":"2026-06-08T23:37:07.597Z","updated_at":"2026-06-08T23:37:08.451Z","avatar_url":"https://github.com/alextompkins.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Piano Vision #\nAutomatic transcription and assisted tutoring for amateur piano players. \n\n## How to Run\n1. Run `pip install .` to install OpenCV and numpy depedencies.\n2. Use `python run.py` to run the program. The only parameter is which video (from `./data`) that you want to use, i.e. execute `python run.py call_me_maybe` to use that video instead. \n3. Use `python calc_accuracy.py` to calculate accuracy statistics for the output after running. This will parse the generated logs found in `./output`.\n4. Several displays will be shown, but the main one to watch is named `keyboard`.\n\n## Program Structure\n* The main class of the program is found in `piano_vision/main.py`. \n* But most processing is done in the classes found in `piano_vision/processors`. Essentially, each stage of the pipeline has its own class. \n* Test videos can be found in `./data`.\n* Ground truths for these videos can be found in `./ground_truths`.\n\n## Install Instructions\n### Production ###\nTo do a production install, run `pip install .` or `pip install -r requirements.txt`.\n\n### Development ###\nTo install the package for development, run `pip install -e .[dev]`. This installs all the regular required packages and those listed in the dev section of extras_require.\n\nAfter adding any dependencies to `setup.py`, regenerate the `requirements.txt` file with `pip-compile`.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falextompkins%2Fpiano-vision","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falextompkins%2Fpiano-vision","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falextompkins%2Fpiano-vision/lists"}