Boostlet.js are JavaScript plugins designed to elevate the capabilities of web-based image processing. It seamlessly integrates with existing web platforms and frameworks using browser bookmarks through JavaScript injection. Project developers: @haehn @shrutivarade @gaiborjosue
Use Cases / Tasks
Web-Based Image Processing: Create functionalities that work for image processing on different compatible frameworks (such as Sobel filter, Segment Anything, Image Captioning, and more). For examples, please visit: https://github.com/mpsych/boostlet/tree/main/examples
Adding framework compatibility: Enable compatibility with Boostlet for new frameworks so that Boostlet functionalities can work on more frameworks! Current frameworks include: XTK, Papaya, OpenSeaDragon, Niivue, Cornerstone2D, for more info regarding framework implementation please visit: https://github.com/mpsych/boostlet/tree/main/src/frameworks
Project Boostlet.js : https://boostlet.org/
About
Boostlet.js are JavaScript plugins designed to elevate the capabilities of web-based image processing. It seamlessly integrates with existing web platforms and frameworks using browser bookmarks through JavaScript injection. Project developers: @haehn @shrutivarade @gaiborjosue
Use Cases / Tasks
Getting Started
To get started with Boostlet.js, visit: https://github.com/mpsych/boostlet/tree/main
Help required?
Feel free to tag us in this issue; we are open to helping you boost Boostlet.js !