Subpixel displacement and strain fields estimation with deep learning
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Updated
Nov 14, 2022 - Python
Subpixel displacement and strain fields estimation with deep learning
Sub-Pixel Convolutional Layer with Tensorflow/Keras
This is an attempt to port the SubPixel layer from Tensorflow as a Caffe Layer
Python application to manage Bitmap-based Pixel Fonts Sheets
Simple Python Pillow script turning an image into RGB subpixels (first by turning it into grayscale) and vice-versa
Industrial-grade video vibrometry: phase-based subpixel displacement, no-GT consistency metrics, and robustness benchmarks.
Audio printed on paper as curves and read back from a scan. One lane is one second, one row is one sample; pitch, rate, skew and which way up the sheet lay are all measured off the sheet itself.
Machine vibration analysis from ordinary handheld video. OpenCV 5 phase correlation recovers subpixel displacement; an agent judges its own measurement quality and requests a better clip when it needs one. OpenCV AI Competition 2026, on AWS Graviton with COOL.
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