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Qu is an attempt to make the full deep learning workflow more interactive by providing a user interface (implemented as napari widget) that abstracts all steps from ground truth generation and curation to training and prediction.

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Qu

Qu is an attempt to make the full deep learning workflow more interactive by providing a user interface that abstracts all steps from ground truth generation and curation to training and prediction.

Qu is implemented as a widget for the great napari multi-dimensional image viewer for python.

Qu

Qu is released under the terms of the Apache License version 2.0 (see LICENSE.txt). All libraries used by Qu have their own licenses.

Installation

Install dependencies from environment.yml or conda-{platform}.lock

platform is one of osx-64, linux-64, or win-64.

cd qu
conda env create -f environment.yml
conda activate qu

or:

cd qu
conda create -n qu --file conda-{platform}.lock
conda activate qu

Getting started

Start Qu by changing to the repository root and typing:

python main.py

From the Qu > Demos menu, choose Demo segmentation dataset.

User manual

Detailed instructions will follow soon.

About

Qu is an attempt to make the full deep learning workflow more interactive by providing a user interface (implemented as napari widget) that abstracts all steps from ground truth generation and curation to training and prediction.

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  • Jupyter Notebook 89.7%
  • Python 10.3%