{"id":15159326,"url":"https://github.com/nzuqi/tensorflow-handpose-drag","last_synced_at":"2026-01-20T19:32:37.231Z","repository":{"id":237561946,"uuid":"794751019","full_name":"nzuqi/tensorflow-handpose-drag","owner":"nzuqi","description":"A concept on how Machine Learning (ML) can be integrated on Web apps","archived":false,"fork":false,"pushed_at":"2024-06-17T15:55:42.000Z","size":1755,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-07T16:33:06.121Z","etag":null,"topics":["angular","machine-learning","machine-learning-models","ml","pre-trained-models","tensorflow-models","tensorflowjs"],"latest_commit_sha":null,"homepage":"https://martin.co.ke","language":"TypeScript","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/nzuqi.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-05-01T21:50:26.000Z","updated_at":"2024-05-02T04:17:20.000Z","dependencies_parsed_at":null,"dependency_job_id":"f474becb-f895-4768-8ad1-c3c74296ae39","html_url":"https://github.com/nzuqi/tensorflow-handpose-drag","commit_stats":{"total_commits":5,"total_committers":1,"mean_commits":5.0,"dds":0.0,"last_synced_commit":"9837ea72fa9b4590a45976c2766d9da0185f8ad5"},"previous_names":["nzuqi/tensorflow-handpose-drag"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/nzuqi/tensorflow-handpose-drag","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nzuqi%2Ftensorflow-handpose-drag","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nzuqi%2Ftensorflow-handpose-drag/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nzuqi%2Ftensorflow-handpose-drag/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nzuqi%2Ftensorflow-handpose-drag/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/nzuqi","download_url":"https://codeload.github.com/nzuqi/tensorflow-handpose-drag/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nzuqi%2Ftensorflow-handpose-drag/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28610617,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-20T18:56:40.769Z","status":"ssl_error","status_checked_at":"2026-01-20T18:54:26.653Z","response_time":117,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["angular","machine-learning","machine-learning-models","ml","pre-trained-models","tensorflow-models","tensorflowjs"],"created_at":"2024-09-26T21:04:43.366Z","updated_at":"2026-01-20T19:32:37.214Z","avatar_url":"https://github.com/nzuqi.png","language":"TypeScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Tensorflow-handpose-drag\n\nThis is a concept on how Machine Learning (ML) can be integrated on Web apps.\n\nIt uses a pre-trained [Tensorflow.js](https://www.tensorflow.org/js) model, [Hand Pose Detection](https://www.npmjs.com/package/@tensorflow-models/hand-pose-detection)\n\n![](./preview/screenshot.png)\n\nHere's a list of available pre-trained models for you to play with; https://github.com/tensorflow/tfjs-models\n\nThis project was generated with [Angular CLI](https://github.com/angular/angular-cli) version 15.2.10.\n\n## Development server\n\nRun `ng serve` for a dev server. Navigate to `http://localhost:4200/`. The application will automatically reload if you change any of the source files.\n\n## Code scaffolding\n\nRun `ng generate component component-name` to generate a new component. You can also use `ng generate directive|pipe|service|class|guard|interface|enum|module`.\n\n## Build\n\nRun `ng build` to build the project. The build artifacts will be stored in the `dist/` directory.\n\n## Running unit tests\n\nRun `ng test` to execute the unit tests via [Karma](https://karma-runner.github.io).\n\n## Running end-to-end tests\n\nRun `ng e2e` to execute the end-to-end tests via a platform of your choice. To use this command, you need to first add a package that implements end-to-end testing capabilities.\n\n## Further help\n\nTo get more help on the Angular CLI use `ng help` or go check out the [Angular CLI Overview and Command Reference](https://angular.io/cli) page.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnzuqi%2Ftensorflow-handpose-drag","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnzuqi%2Ftensorflow-handpose-drag","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnzuqi%2Ftensorflow-handpose-drag/lists"}