학술논문

JDLL: A library to run Deep Learning models on Java bioimage informatics platforms
Document Type
Working Paper
Source
Subject
Electrical Engineering and Systems Science - Image and Video Processing
Language
Abstract
We present JDLL, an agile Java library that offers a comprehensive toolset/API to unify the development of high-end applications of DL for bioimage analysis and to streamline their installation and maintenance. JDLL provides all the functions required to consume DL models seamlessly, without being burdened by the configuration of the Python-based DL frameworks, within Java bioimage informatics platforms. Moreover, it allows the deployment of pre-trained models in the Bioimage Model Zoo (BMZ) by shipping the logic to connect to the BMZ website, download and run a selected model inference.
Comment: New version with new figure and updated links