{"id":22807941,"url":"https://github.com/mazen-daghari/rear-camera","last_synced_at":"2026-04-28T00:32:51.147Z","repository":{"id":265922086,"uuid":"896876336","full_name":"mazen-daghari/rear-camera","owner":"mazen-daghari","description":"developing a user interface for a camera application using PyQt6 for Raspberry pi ","archived":false,"fork":false,"pushed_at":"2024-12-09T15:34:26.000Z","size":522,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-14T15:05:05.657Z","etag":null,"topics":["opencv-python","pyqt6","python","raspberry-pi"],"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/mazen-daghari.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,"zenodo":null}},"created_at":"2024-12-01T14:22:42.000Z","updated_at":"2024-12-09T15:34:30.000Z","dependencies_parsed_at":"2025-06-14T15:05:07.577Z","dependency_job_id":"7479c744-3437-45e5-9982-ef6ef450e3a2","html_url":"https://github.com/mazen-daghari/rear-camera","commit_stats":null,"previous_names":["mazen-daghari/rear-camera"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mazen-daghari/rear-camera","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mazen-daghari%2Frear-camera","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mazen-daghari%2Frear-camera/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mazen-daghari%2Frear-camera/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mazen-daghari%2Frear-camera/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mazen-daghari","download_url":"https://codeload.github.com/mazen-daghari/rear-camera/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mazen-daghari%2Frear-camera/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32361477,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-27T20:07:02.737Z","status":"ssl_error","status_checked_at":"2026-04-27T20:07:00.910Z","response_time":128,"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":["opencv-python","pyqt6","python","raspberry-pi"],"created_at":"2024-12-12T11:07:17.058Z","updated_at":"2026-04-28T00:32:51.118Z","avatar_url":"https://github.com/mazen-daghari.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# rear-camera\ndeveloping a user interface for a camera application using PyQt6 for Raspberry pi \nHere's a step-by-step tutorial for creating the camera application using PyQt6:\n\nStep 1: Setting Up the Environment\n-\n\nInstall Python: Make sure you have Python installed on your system. You can download it from the official Python website.\n\nInstall PyQt6: Install PyQt6 using pip. Open your terminal or command prompt and run:\n\nsh\npip install PyQt6\nInstall OpenCV: Install OpenCV for image processing. Run:\n\nsh\npip install opencv-python\n\nStep 2: Creating the Main Application\n-\n\nCreate a Main Window: Start by creating a main window for your application. This will be the central hub where different pages (like the camera page) will be displayed.\n\nSet Up Navigation: Implement navigation between different pages, such as the home page, camera page, and other feature pages.\n\nStep 3: Implementing the Camera Page\n-\n\nDisplay Camera Feed: Use a QLabel to display the live video feed from the camera. You can use OpenCV to capture the video frames and display them in the QLabel.\n\nAdd Home Button: Add a \"Home\" button as an image using QLabel. Connect the button to navigate back to the home page when clicked.\n\nShow Warning Messages: Add a QLabel to display warning messages when the camera detects close proximity. You can use OpenCV to process the video frames and detect the distance.\n\nDisplay Distance: Add a QLabel to display the detected distance on the top right of the camera feed.\n\nStep 4: Adding Other Pages\n-\n\nHome Page: Create a home page with navigation buttons to different features like Spotify, Radio, Dashboard, and Weather.\n\nFeature Pages: Implement other feature pages (e.g., Spotify, Radio, Dashboard, Weather) with their respective functionalities. Use QLabel with images for navigation buttons.\n\nStep 5: Styling and Layout\n-\n\nStyling: Use CSS stylesheets to style the labels, buttons, and other UI elements. This will make your application visually appealing.\n\nLayout: Use layout managers like QVBoxLayout, QHBoxLayout, and QStackedLayout to arrange the UI elements in a structured manner.\n\nStep 6: Testing and Debugging\n-\n\nTest the Application: Run your application and test all the functionalities. Make sure the camera feed is displayed correctly, the home button works, and the warning messages and distance are shown as expected.\n\n\n\nDebugging: If you encounter any issues, use debugging tools and print statements to identify and fix the problems.\n\nStep 7: Finalizing and Deployment\n-\n\nFinal Touches: Add any final touches to your application, such as icons, splash screens, and additional features.\n\nDeployment: Package your application for distribution. You can use tools like PyInstaller to create executable files for different operating systems.\n\nLicence(MIT)\n-\n\nCotact : dagmazen@gmail.com\n-\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmazen-daghari%2Frear-camera","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmazen-daghari%2Frear-camera","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmazen-daghari%2Frear-camera/lists"}