Wanna Res' Like You
Introduction
Welcome to Wanna Res Like You a Python-based super resolution tool designed to bring vintage photos into the high-definition domain. Advanced image processing techniques are used to enhances the quality and clarity of historical black-and-white and coloured images, making them vividly sharp and detailed. Perfect for reviving classic swing dance photos and other retro snapshots, Wanna Res Like You combines the charm of yesteryears with modern image resolution technology. Whether you're a swing dance enthusiast, a history buff, or simply a fan of old-time photography, this tool helps transform nostalgic moments into stunning, high-resolution visuals. Dive in and watch history come to life with unparalleled detail!
thank you chatGPT <3
Objectives
The objectives of this project are:
- Manipulating super resolution methods,
- Learning to build an app in Python,
- Deploy this app.
Tech Specs
The technical specifications are:
- Create a CLI,
- Create an app,
- Create a tool to easily deploy the app.
Features
Interpolation entrypoint
The interpolate feature allows users to apply different interpolation methods to images using OpenCV. This feature supports four interpolation methods: linear, nearest, cubic, and lanczos4. It can be used to scale images by specific x and y factors.
This feature can be accessed via the interpolate entry point, which accepts an input image, a configuration file specifying the interpolation method and scaling factors, and generates an output image. Supported Interpolation Methods
- Linear interpolation: Suitable for simple resizing tasks with minimal image distortion.
- Nearest-neighbor interpolation: Fastest method, best for categorical images but can result in pixelated edges.
- Cubic interpolation: Produces smoother images with better quality when upscaling.
- Lanczos interpolation: A high-quality downsampling and upscaling method that preserves fine details in the image.
See specific documentation for more detailled Interpolation feature
Installation
Prerequisites
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Install Instructions
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Setup
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Usage
Basic Usage
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Advanced Usage
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Contributing
Guidelines on how to contribute
License
Details of the project license
Acknowledgements
Thanks to contributors and linked resources
Contact Information
How to get in touch or report issues
FAQ
- Question 1: Answer
- Question 2: Answer