{"id":14977958,"url":"https://github.com/coding-ai/raspberrypi_handwritten_recognition","last_synced_at":"2025-10-28T07:31:06.942Z","repository":{"id":37658058,"uuid":"267399979","full_name":"coding-ai/raspberrypi_handwritten_recognition","owner":"coding-ai","description":"Virtual Pen + Recognition of handwritten digits","archived":false,"fork":false,"pushed_at":"2022-12-08T01:23:57.000Z","size":17,"stargazers_count":9,"open_issues_count":7,"forks_count":1,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-02-01T12:44:15.086Z","etag":null,"topics":["artificial-intelligence","computer-vision","handwriting-recognition","handwritten-character-recognition","handwritten-digit-recognition","image-processing","machine-learning","machine-learning-algorithms","mnist","mnist-handwriting-recognition","model","python","python37","raspberry-pi","raspberry-pi-4","raspberry-pi-camera"],"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/coding-ai.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":"2020-05-27T18:45:33.000Z","updated_at":"2023-05-27T07:35:02.000Z","dependencies_parsed_at":"2023-01-24T21:30:36.167Z","dependency_job_id":null,"html_url":"https://github.com/coding-ai/raspberrypi_handwritten_recognition","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/coding-ai%2Fraspberrypi_handwritten_recognition","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/coding-ai%2Fraspberrypi_handwritten_recognition/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/coding-ai%2Fraspberrypi_handwritten_recognition/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/coding-ai%2Fraspberrypi_handwritten_recognition/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/coding-ai","download_url":"https://codeload.github.com/coding-ai/raspberrypi_handwritten_recognition/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":238614362,"owners_count":19501442,"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":["artificial-intelligence","computer-vision","handwriting-recognition","handwritten-character-recognition","handwritten-digit-recognition","image-processing","machine-learning","machine-learning-algorithms","mnist","mnist-handwriting-recognition","model","python","python37","raspberry-pi","raspberry-pi-4","raspberry-pi-camera"],"created_at":"2024-09-24T13:56:36.277Z","updated_at":"2025-10-28T07:31:06.604Z","avatar_url":"https://github.com/coding-ai.png","language":"Python","readme":"# Handwritten Recognition with Raspberry Pi\n\nThe idea of this project was to create a virtual pen and apply a handwritten recognition model in the backend to recognize handwritten digits from a Raspberry Pi camera.\n\nI have adapted the code created by the amazin people at LearnOpenCV: [Create a Virtual Pen And Eraser with OpenCV](https://www.learnopencv.com/creating-a-virtual-pen-and-eraser-with-opencv/) to predict the written images. \n\n\n## Requirements\n\nRun `conda env create` to create the virtual environment with the requirements from `requirements.txt`.\n\n## Steps\n\nFollowing the steps from the mentioned tutorial, run the following lines:\n\n`python step1.py` - remember to press the 's' key to save your color range image.\n\n`python step2.py`\n\n`python step3.py` and now you can play and predict!\n\n## Suggestions\n\nPlease open an issue if you have ideas on how to improve this! Have fun!","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcoding-ai%2Fraspberrypi_handwritten_recognition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcoding-ai%2Fraspberrypi_handwritten_recognition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcoding-ai%2Fraspberrypi_handwritten_recognition/lists"}