pnnl/pychip_gui
pyCHIP is a tool for segmentation and feature classification in transmission electron microscopy (TEM) images based on a small support set of user-provided examples.
This tool helps trained microscopists automatically identify and classify features in Transmission Electron Microscopy (TEM) images. You import your TEM images (JPG, PNG, TIFF, or DM4), interactively select regions of interest to define examples of features, and the tool outputs a segmented, colorized image showing the classified features along with their counts. This is ideal for anyone who spends significant time manually analyzing TEM images.
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Use this if you need to quickly and consistently segment and classify microstructural features in your TEM images using a small set of examples, saving time on tedious manual analysis.
Not ideal if you do not work with Transmission Electron Microscopy (TEM) images or if your workflow requires a full few-shot machine learning module not included in this release.
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BSD-2-Clause
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Last pushed
Jan 24, 2022
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