{"id":27433187,"url":"https://github.com/freshmag/omr-img2midi","last_synced_at":"2026-04-27T18:04:14.881Z","repository":{"id":239579071,"uuid":"768660136","full_name":"FreshMag/omr-img2midi","owner":"FreshMag","description":"Optical Music Recognition project to perform translations from music sheets images to music encoding formats (MIDI, MEI ecc.)","archived":false,"fork":false,"pushed_at":"2024-05-15T13:14:18.000Z","size":6179,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-14T17:14:37.746Z","etag":null,"topics":["ai","computer-vision","machine-learning","omr","opencv"],"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/FreshMag.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","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,"zenodo":null}},"created_at":"2024-03-07T13:55:37.000Z","updated_at":"2024-05-15T13:14:22.000Z","dependencies_parsed_at":"2024-05-15T21:39:37.350Z","dependency_job_id":null,"html_url":"https://github.com/FreshMag/omr-img2midi","commit_stats":null,"previous_names":["freshmag/omr-img2midi"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/FreshMag/omr-img2midi","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FreshMag%2Fomr-img2midi","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FreshMag%2Fomr-img2midi/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FreshMag%2Fomr-img2midi/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FreshMag%2Fomr-img2midi/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/FreshMag","download_url":"https://codeload.github.com/FreshMag/omr-img2midi/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FreshMag%2Fomr-img2midi/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":262963296,"owners_count":23391789,"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":["ai","computer-vision","machine-learning","omr","opencv"],"created_at":"2025-04-14T17:14:34.662Z","updated_at":"2026-04-27T18:04:14.847Z","avatar_url":"https://github.com/FreshMag.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Optical Music Recognition (img2midi)\n\nStaff Removal: \u003ca target=\"_blank\" href=\"https://colab.research.google.com/github/FreshMag/omr-img2midi/blob/master/Staff_Removal.ipynb\"\u003e\n  \u003cimg src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/\u003e\n\u003c/a\u003e\n\nEnd-To-End: \u003ca target=\"_blank\" href=\"https://colab.research.google.com/github/FreshMag/omr-img2midi/blob/master/AE2E.ipynb\"\u003e\n  \u003cimg src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/\u003e\n\u003c/a\u003e\n\nComputer vision project where different algorithms and methodologies of Optical Music Recognition are studied and implemented.\n\nThis repository is a fork of the [original project by Calvo-Zaragoza](https://github.com/OMR-Research/tf-end-to-end) that\nwas used for the experiments reported in the paper [End-to-End Neural Optical Music Recognition of Monophonic Scores](http://www.mdpi.com/2076-3417/8/4/606).\nMore information can be found below. Please consider taking a look at the original repository if you want to know all\nthe details about how the model was originally trained and created.\n\nThe original code has been deeply extended and modified, adding much more functionalities described in the report.\n\n## Usage\nThe two parts of the projects can be tested using the corresponding notebooks `AE2E.ipynb` and `Staff_Removal.ipynb`\n\n## Citations\n\n```\n@Article{Calvo-Zaragoza2018,\n  AUTHOR = {Calvo-Zaragoza, Jorge and Rizo, David},\n  TITLE = {End-to-End Neural Optical Music Recognition of Monophonic Scores},\n  JOURNAL = {Applied Sciences},\n  VOLUME = {8},\n  YEAR = {2018},\n  NUMBER = {4},\n  ARTICLE NUMBER = {606},\n  URL = {http://www.mdpi.com/2076-3417/8/4/606},\n  ISSN = {2076-3417},\n  DOI = {10.3390/app8040606}\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffreshmag%2Fomr-img2midi","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffreshmag%2Fomr-img2midi","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffreshmag%2Fomr-img2midi/lists"}