Computer Vision and Image Recognition algorithms for R users
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Updated
Jun 17, 2024 - C++
Computer Vision and Image Recognition algorithms for R users
Opencv cheat sheet for C++
ogpf is Object based interface to GnuPlot from Fortran 2003, 2008 and later
This deep learning application can detect Facial Keypoints (15 unique points). They mark important areas of the face - the eyes, corners of the mouth, the nose, etc.
Analyzed Google Satellite images to generate a report on individual house rooftop's solar power potential
A multipurpose tool for medical physics.
Regional-Convolution Neural Network for blink detection based on contouring.
Detect a person fall in videos using OpenCv
Some code for generating topographic contour maps.
SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimation
Generate contours, hillshade, Terrain RGB, slope-angle shading tiles from elevation data.
Python implementation of "Elliptic Fourier Features of a Closed Contour"
Compute contour lines (isolines) for any 2D data in Go.
Shell scripts for working with NASA SRTM DEM data; gdaldem stylesheets for shaded relief maps; Mapnik stylesheets for contours; TileStache configuration for sandwich
Contour polygon creation in Rust (using marching squares algorithm)
Implementation of a few prevelant computer vision techniques using Python
Various tools from the community built using DGtal
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