{"id":19003765,"url":"https://github.com/anzo52/pyouthere","last_synced_at":"2026-04-20T20:30:21.616Z","repository":{"id":214900366,"uuid":"737619713","full_name":"Anzo52/pyouthere","owner":"Anzo52","description":"Checks if human is in a picture or not","archived":false,"fork":false,"pushed_at":"2024-01-06T07:17:39.000Z","size":502,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-01T19:13:37.029Z","etag":null,"topics":["album","batch-processing","gallery","haarcascade","human-detection","human-or-not","person-detection","photo-organizer","photo-sorter"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Anzo52.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}},"created_at":"2023-12-31T19:22:21.000Z","updated_at":"2024-01-02T01:22:50.000Z","dependencies_parsed_at":"2024-01-06T08:26:27.569Z","dependency_job_id":null,"html_url":"https://github.com/Anzo52/pyouthere","commit_stats":null,"previous_names":["anzo52/pyouthere"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anzo52%2Fpyouthere","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anzo52%2Fpyouthere/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anzo52%2Fpyouthere/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anzo52%2Fpyouthere/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Anzo52","download_url":"https://codeload.github.com/Anzo52/pyouthere/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240027414,"owners_count":19736210,"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":["album","batch-processing","gallery","haarcascade","human-detection","human-or-not","person-detection","photo-organizer","photo-sorter"],"created_at":"2024-11-08T18:20:12.747Z","updated_at":"2026-04-20T20:30:21.552Z","avatar_url":"https://github.com/Anzo52.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# pyouthere\n\n## Overview\n\npyouthere is a Python application that checks if a human is present in a picture. It utilizes various Haar cascades for detecting different parts of the human body and faces in images.\n\n## Features\n\n- Detection of humans in images using Haar cascades.\n- Support for detecting full body, upper body, lower body, frontal face, and profile face.\n- Functionality to process a single image or a directory of images.\n- Organizing images into folders based on detection results.\n\n## Requirements\n\nThe application requires the following Python packages:\n\n- numpy\u003e=1.26.2\n- opencv-python\u003e=4.9.0.80\n- simple-term-menu\u003e=1.6.4\n\nThese can be installed using the `requirements.txt` file.\n\n## Usage\n\nTo use pyouthere, you can either process a single file or an entire directory of images. The application will then detect the presence of people in these images and organize them accordingly.\n\n### Main Functions\n\n- `detect_people(image_path)`: Detects people in a single image.\n- `detect_in_dir(dir_path)`: Detects people in all images within a specified directory.\n- `organize_files(with_people, no_people)`: Organizes images into 'with_people' and 'no_people' directories.\n\n### Running the Application\n\nRun `main.py` to start the application. You will be presented with options to choose between processing a single file, a directory, or exiting the application.\n\n## Haar Cascades\n\nThe application uses several Haar cascade files for detection:\n\n- haarcascade_frontalface_alt.xml\n- haarcascade_fullbody.xml\n- haarcascade_lowerbody.xml\n- haarcascade_profileface.xml\n- haarcascade_upperbody.xml\n\n## Contributing\n\nContributions to pyouthere are welcome. Please ensure to follow the coding standards and guidelines of the project.\n\n## License\n\nThis project is licensed under the [MIT License](https://github.com/Anzo52/pyouthere/blob/main/LICENSE).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanzo52%2Fpyouthere","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanzo52%2Fpyouthere","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanzo52%2Fpyouthere/lists"}