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Description
Project Boostlet.js! https://boostlet.org/
π 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
π‘ Use Cases / Tasks
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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
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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
π Getting Started
To get started with Boostlet.js, visit:
https://github.com/mpsych/boostlet/tree/main
π More information
https://slides.com/haehn/boostlet
βοΈ Help required?
Feel free to tag us in this issue; we are open to helping you boost Boostlet.js π«‘!

