Introduction to Bilayers - a container specification for whole-community support
Автор: COBA: Center for Open Bioimage Analysis
Загружено: 2025-04-07
Просмотров: 76
Описание:
Bilayers is an open, versioned specification that transforms deep-learning tools for bioimage analysis into no-terminal-required interfaces—using Gradio or Jupyter Notebook—so anyone can run them, regardless of coding experience. By defining inputs, outputs, and parameters in a simple YAML config, Bilayers automatically generates user-friendly Docker containers. These containers can also be deployed at scale on HPCs or the cloud without worrying about version drift.
In this tutorial, you’ll see a live demo by Bilayers' creator, Rajavi Shah, of how Bilayers wraps algorithms—like StarDist from the Bioimage Model Zoo—into two separate Docker containers—one with a Gradio app and another with a Jupyter notebook interface and also generates code for a CellProfiler plugin. This makes advanced deep-learning tools instantly accessible without any command-line work!
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