Welcome to PyPhotoBrowser, a versatile photo browsing library for Python.
PyPhotoBrowser provides a powerful set of tools for displaying and navigating through a collection of photos. Whether you need to build a gallery for your website or create an image viewer for a desktop application, PyPhotoBrowser has got you covered.
Key Features:
- Supports various image formats such as JPEG, PNG, and GIF.
- Ability to handle large photo collections efficiently.
- Responsive design, compatible with different devices and screen sizes.
- Intuitive navigation controls for zooming, panning, and rotating images.
- Customizable interface options, including themes and color schemes.
- Built-in animations and transitions to enhance user experience.
Installation:
Before installing PyPhotoBrowser, ensure that you have the following prerequisites:
- Python 3.6 or higher
To install PyPhotoBrowser, follow these steps:
$ pip install pyphotobrowser
Usage:
To use PyPhotoBrowser in your Python project, import the library:
import pyphotobrowser
To load images, create an instance of the PhotoBrowser
class:
browser = pyphotobrowser.PhotoBrowser()
browser.load_images('path/to/photos')
Display the browser window and view the images:
browser.display()
Customization:
PyPhotoBrowser allows you to customize the interface using themes. You can choose from a range of pre-designed themes or create your own.
# Set a pre-defined theme
browser.set_theme('dark')
# Create a custom theme
my_theme = pyphotobrowser.Theme(background_color='#ffffff', text_color='#000000')
browser.set_theme(my_theme)
You can also modify the display options of the browser, such as zooming, panning, and rotation:
# Enable image zooming
browser.enable_zooming()
# Enable image panning
browser.enable_panning()
# Enable image rotation
browser.enable_rotation()
Examples:
Browsing a single image:
import pyphotobrowser
browser = pyphotobrowser.PhotoBrowser()
browser.load_images('path/to/single_image.jpg')
browser.display()
Browsing multiple images:
import pyphotobrowser
browser = pyphotobrowser.PhotoBrowser()
browser.load_images('path/to/images/directory')
browser.display()
Conclusion:
With PyPhotoBrowser, you can easily implement a feature-rich photo browsing experience in your Python projects. Its flexibility, speed, and customization options make it the ultimate choice for developers and users alike. Get started with PyPhotoBrowser today!