shanto268/QuantumDeviceSEM
This program is designed to analyze Scanning Electron Microscope (SEM) images, specifically images of superconducting quantum devices. It uses the Segment Anything library from Meta to identify and segment objects in the image.
Analyze Scanning Electron Microscope (SEM) images of superconducting quantum devices to automatically identify and measure features. It takes an SEM image as input and outputs individual masked images of identified objects, complete with bounding box dimensions in nanometers. This tool is for scientists and researchers working with nanoscale device characterization.
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Use this if you need to precisely identify, segment, and measure the dimensions of features in your SEM images of quantum devices.
Not ideal if you need to analyze SEM images for biological samples or require advanced statistical analysis beyond individual feature measurements.
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Language
Python
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Last pushed
May 26, 2024
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