Topic: "image-processing-pipeline"
OpenImagingLab/DualDn
[ECCV2024] DualDn: Dual-domain Denoising via Differentiable ISP. :star::triumph::star::skull: SOTA model for real-image denoising. :skull: Both in terms of denoising performance and generalization ability.
Language: Python - Size: 365 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 64 - Forks: 2
darsan-in/Remige
Remige is an advanced image compression framework, built as a fork of libSquoosh. By integrating Squoosh's powerful image codecs directly into JavaScript applications, Remige offers unparalleled compression performance and file size reduction. Designed for compatibility with the latest Node.js versions, Remige enhances image processing with modern
Language: TypeScript - Size: 14.3 MB - Last synced at: about 22 hours ago - Pushed at: 7 months ago - Stars: 4 - Forks: 0
mbari-org/aipipeline
Library for running detection, clustering or classification ai pipelines using ApacheBeam
Language: Jupyter Notebook - Size: 78.1 MB - Last synced at: about 18 hours ago - Pushed at: about 19 hours ago - Stars: 3 - Forks: 0
