Pixteroid is a Node.js API designed for efficient image upscaling and restoration, powered by AI and utilizing the NCNN framework. It employs Real-ESRGAN and ESRGAN model weights to upscale and restore images, providing three distinct levels of detail and
Pixteroid is a Node.js API designed for efficient image upscaling and restoration, powered by AI and utilizing the NCNN framework. It employs Real-ESRGAN and ESRGAN model weights to upscale and restore images, providing three distinct levels of detail and size customization to suit various needs.
Every star on this repository is a sign of encouragement, a vote of confidence, and a reminder that our work is making a difference. If this project has brought value to you, even in the smallest way, please consider showing your support by giving it a star. ⭐
"Star" button located at the top-right of the page, near the repository name.
Your star isn’t just a digital icon—it’s a beacon that tells us we're on the right path, that our efforts are appreciated, and that this work matters. It fuels our passion and drives us to keep improving, building, and sharing.
If you believe in what we’re doing, please share this project with others who might find it helpful. Together, we can create something truly meaningful.
Thank you for being part of this journey. Your support means the world to us. 🌍💖
npm install pixteroid
const { upscale } = require("pixteroid");
const { join, relative } = require("path");
const imagePath = "image-samples/0200.png";
const outputPath = join("single-output", relative(process.cwd(), imagePath));
const level = "level1"; //level1 or level2 or level3 - low to higher level
upscale(imagePath, outputPath, level)
.then(() => {
console.log("done");
})
.catch((err) => {
console.log(err);
});
const { globSync } = require("glob");
const { upscaleAll } = require("pixteroid");
/* only 50 samples taken by slicing */
const imagePaths = globSync("image-samples/**.jpg").slice(0, 50);
const destinationPath = "output-samples";
const level = "level1"; //level1 or level2 or level3 - low to higher level
const batchSize = 2; //This is optional parameter def=2
upscaleAll(imagePaths, destinationPath, level, batchSize)
.then(() => {
console.log("done");
})
.catch((err) => {
console.log(err);
});
This project is licensed under the Apache License 2.0.
We’re always open to contributions and fixing issues—your help makes this project better for everyone.
If you encounter any errors or issues, please don’t hesitate to raise an issue. This ensures we can address problems quickly and improve the project.
For those who want to contribute, we kindly ask you to review our Contribution Guidelines before getting started. This helps ensure that all contributions align with the project's direction and comply with our existing license.
We deeply appreciate everyone who contributes or raises issues—your efforts are crucial to building a stronger community. Together, we can create something truly impactful.
Thank you for being part of this journey!
For any questions, please reach out via hello@darsan.in or LinkedIn.
I would like to extend our gratitude to Xintao for implementing Real-ESRGAN with the NCNN framework. Special thanks to Tencent for creating the NCNN framework, a high-performance neural network inference computing framework optimized for mobile platforms. NCNN is designed with mobile deployment in mind, is cross-platform, and runs faster than all known open-source frameworks on mobile CPUs. It is currently used in various Tencent applications, such as QQ, Qzone, WeChat, and Pitu.
FAQs
Pixteroid is a Node.js API designed for efficient image upscaling and restoration, powered by AI and utilizing the NCNN framework. It employs Real-ESRGAN and ESRGAN model weights to upscale and restore images, providing three distinct levels of detail and
The npm package pixteroid receives a total of 5 weekly downloads. As such, pixteroid popularity was classified as not popular.
We found that pixteroid demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Security News
Socket’s threat research team has detected six malicious npm packages typosquatting popular libraries to insert SSH backdoors.
Security News
MITRE's 2024 CWE Top 25 highlights critical software vulnerabilities like XSS, SQL Injection, and CSRF, reflecting shifts due to a refined ranking methodology.
Security News
In this segment of the Risky Business podcast, Feross Aboukhadijeh and Patrick Gray discuss the challenges of tracking malware discovered in open source softare.