{"id":23226767,"url":"https://github.com/luisfelipepoma/draw_detector","last_synced_at":"2026-05-07T08:37:42.555Z","repository":{"id":201081919,"uuid":"706925369","full_name":"LuisFelipePoma/Draw_Detector","owner":"LuisFelipePoma","description":"An application to classify a hand drawing into different classes.","archived":false,"fork":false,"pushed_at":"2023-10-24T04:04:24.000Z","size":2957,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-11T14:46:23.423Z","etag":null,"topics":["computer-vision","django","flask-application","ia","python"],"latest_commit_sha":null,"homepage":"https://drawdetector-production.up.railway.app/","language":"Jupyter Notebook","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/LuisFelipePoma.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":"2023-10-18T21:43:25.000Z","updated_at":"2024-10-11T22:15:03.000Z","dependencies_parsed_at":null,"dependency_job_id":"536ba1a0-2355-4bc5-9880-ac25ebbf3dc9","html_url":"https://github.com/LuisFelipePoma/Draw_Detector","commit_stats":null,"previous_names":["luisfelipepoma/branddraw","luisfelipepoma/draw_detector"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LuisFelipePoma%2FDraw_Detector","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LuisFelipePoma%2FDraw_Detector/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LuisFelipePoma%2FDraw_Detector/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LuisFelipePoma%2FDraw_Detector/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/LuisFelipePoma","download_url":"https://codeload.github.com/LuisFelipePoma/Draw_Detector/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247378085,"owners_count":20929291,"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":["computer-vision","django","flask-application","ia","python"],"created_at":"2024-12-19T00:19:24.655Z","updated_at":"2026-05-07T08:37:42.515Z","avatar_url":"https://github.com/LuisFelipePoma.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# DevicePredictor\n\n\n## How to set up the enviroment\n\n- First we create the enviroment `.env`\n  ```bash\n  python -m venv .env\n  ```\n\n- Then install the `requirements.txt`\n  ```bash\n  pip install -r requirements.txt\n  ```\n\n##  How to train the model\n\n- Once you have the enviroment created and the requirements installed, you can run the command `python`\n  ```bash\n  python addData.py\n  ```\n  \u003e Then you can add the data to the model\n  \n- Now for get the dataset you can add to the url the parameter `/prepare`\n  \u003e This will save the dataset in `X.npy` and `y.npy` in the folder `model` that you can use to train the model\n\n- Finally run the notebook `model_train` in the folder `model`\n  \u003e This will save a file `model.h5` that you can use to predict the device\n\n\n## How to use\n\n- Once you have the model trained you can run the command `python`\n  \n  ```bash\n  python main.py\n  ```\n\u003e For add new data `repulsive-square-production.up.railway.app`\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fluisfelipepoma%2Fdraw_detector","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fluisfelipepoma%2Fdraw_detector","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fluisfelipepoma%2Fdraw_detector/lists"}