https://github.com/mazen-daghari/rear-camera
developing a user interface for a camera application using PyQt6 for Raspberry pi
https://github.com/mazen-daghari/rear-camera
opencv-python pyqt6 python raspberry-pi
Last synced: about 2 months ago
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developing a user interface for a camera application using PyQt6 for Raspberry pi
- Host: GitHub
- URL: https://github.com/mazen-daghari/rear-camera
- Owner: mazen-daghari
- License: mit
- Created: 2024-12-01T14:22:42.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-09T15:34:26.000Z (over 1 year ago)
- Last Synced: 2025-06-14T15:05:05.657Z (about 1 year ago)
- Topics: opencv-python, pyqt6, python, raspberry-pi
- Language: Python
- Homepage:
- Size: 510 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# rear-camera
developing a user interface for a camera application using PyQt6 for Raspberry pi
Here's a step-by-step tutorial for creating the camera application using PyQt6:
Step 1: Setting Up the Environment
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Install Python: Make sure you have Python installed on your system. You can download it from the official Python website.
Install PyQt6: Install PyQt6 using pip. Open your terminal or command prompt and run:
sh
pip install PyQt6
Install OpenCV: Install OpenCV for image processing. Run:
sh
pip install opencv-python
Step 2: Creating the Main Application
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Create 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.
Set Up Navigation: Implement navigation between different pages, such as the home page, camera page, and other feature pages.
Step 3: Implementing the Camera Page
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Display 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.
Add Home Button: Add a "Home" button as an image using QLabel. Connect the button to navigate back to the home page when clicked.
Show 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.
Display Distance: Add a QLabel to display the detected distance on the top right of the camera feed.
Step 4: Adding Other Pages
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Home Page: Create a home page with navigation buttons to different features like Spotify, Radio, Dashboard, and Weather.
Feature Pages: Implement other feature pages (e.g., Spotify, Radio, Dashboard, Weather) with their respective functionalities. Use QLabel with images for navigation buttons.
Step 5: Styling and Layout
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Styling: Use CSS stylesheets to style the labels, buttons, and other UI elements. This will make your application visually appealing.
Layout: Use layout managers like QVBoxLayout, QHBoxLayout, and QStackedLayout to arrange the UI elements in a structured manner.
Step 6: Testing and Debugging
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Test 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.
Debugging: If you encounter any issues, use debugging tools and print statements to identify and fix the problems.
Step 7: Finalizing and Deployment
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Final Touches: Add any final touches to your application, such as icons, splash screens, and additional features.
Deployment: Package your application for distribution. You can use tools like PyInstaller to create executable files for different operating systems.
Licence(MIT)
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Cotact : dagmazen@gmail.com
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