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Scientific image exploration software for multidimensional datasets.

Project description

image-analysis-util

Copyright (c) UChicago Argonne, LLC. All rights reserved.

Scientific image exploration software for 2D, 3D, and 4D datasets. A continuation of the Image_Analysis repository.

About

The image-analysis-util repository focuses on providing tools for users to explore and analyze their datasets.

Built With

Getting Started

Prerequisites

Installation

PyPI Installation

pip install image-analysis-util

Conda Installation

  1. Clone the repositiory

    git clone https://github.com/henryjsmith12/image-analysis-util.git
    
  2. Create an Anaconda virtual environment using environment.yml. The environment name can be altered in that file. By default, the virtual environment is named ia-util-venv.

    conda env create -f environment.yml
    
  3. Activate the virtual environment

    conda activate ia-util-venv
    

Screenshots

Roadmap

  • SlicingROI enable/disable
  • Manual SlicingROI controls
  • Slice "Export" button

License

See LICENSE.txt for more information.

Author

Henry Smith - Co-op Student Technical at Argonne National Laboratory

Support

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