reecehuff/StrainNet
StrainNet is a deep neural network for measuring deformation from images
StrainNet helps engineers and scientists measure material deformation from images. You input a series of images showing a material under stress, and it outputs precise strain measurements, which are crucial for understanding material properties or biological tissue mechanics. It's designed for researchers and practitioners in fields like biomechanics, materials science, or civil engineering who need to quantify strain without physical sensors.
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Use this if you need to accurately quantify how much a material or biological tissue deforms from visual data, such as ultrasound images or time-lapse microscopy.
Not ideal if your primary goal is real-time, instantaneous strain measurement in a production environment or if you lack image data showing material deformation.
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12
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4
Language
Python
License
MIT
Category
Last pushed
Aug 12, 2025
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