Showing 8 of total 8 results (show query)
bnosac
image.libfacedetection:Convolutional Neural Network for Face Detection
An open source library for face detection in images. Provides a pretrained convolutional neural network based on <https://github.com/ShiqiYu/libfacedetection> which can be used to detect faces which have size greater than 10x10 pixels.
Maintained by Jan Wijffels. Last updated 1 years ago.
canny-edge-detectioncomputer-visioncontoursdarknetdlibf9harris-cornersharris-interest-point-detectorhog-featuresimage-algorithmsimage-recognitionopenpanootsusurfcppopenmp
11.0 match 279 stars 5.29 score 14 scriptsbnosac
image.CornerDetectionF9:Find Corners in Digital Images with FAST-9
An implementation of the "FAST-9" corner detection algorithm explained in the paper 'FASTER and better: A machine learning approach to corner detection' by Rosten E., Porter R. and Drummond T. (2008), available at <arXiv:0810.2434>. The package allows to detect corners in digital images.
Maintained by Jan Wijffels. Last updated 1 years ago.
canny-edge-detectioncomputer-visioncontoursdarknetdlibf9harris-cornersharris-interest-point-detectorhog-featuresimage-algorithmsimage-recognitionopenpanootsusurfcpp
11.0 match 279 stars 5.14 score 7 scriptsbnosac
image.Otsu:Otsu's Image Segmentation Method
An implementation of the Otsu's Image Segmentation Method described in the paper: "A C++ Implementation of Otsu's Image Segmentation Method". The algorithm is explained at <doi:10.5201/ipol.2016.158>.
Maintained by Jan Wijffels. Last updated 1 years ago.
canny-edge-detectioncomputer-visioncontoursdarknetdlibf9harris-cornersharris-interest-point-detectorhog-featuresimage-algorithmsimage-recognitionopenpanootsusurfcpp
11.0 match 279 stars 5.14 scorebnosac
image.LineSegmentDetector:Detect Line Segments in Images
An implementation of the Line Segment Detector on digital images described in the paper: "LSD: A Fast Line Segment Detector with a False Detection Control" by Rafael Grompone von Gioi et al (2012). The algorithm is explained at <doi:10.5201/ipol.2012.gjmr-lsd>.
Maintained by Jan Wijffels. Last updated 1 years ago.
canny-edge-detectioncomputer-visioncontoursdarknetdlibf9harris-cornersharris-interest-point-detectorhog-featuresimage-algorithmsimage-recognitionopenpanootsusurfcpp
11.0 match 279 stars 5.14 score 7 scriptsbnosac
image.ContourDetector:Implementation of the Unsupervised Smooth Contour Line Detection for Images
An implementation of the Unsupervised Smooth Contour Detection algorithm for digital images as described in the paper: "Unsupervised Smooth Contour Detection" by Rafael Grompone von Gioi, and Gregory Randall (2016). The algorithm is explained at <doi:10.5201/ipol.2016.175>.
Maintained by Jan Wijffels. Last updated 1 years ago.
canny-edge-detectioncomputer-visioncontoursdarknetdlibf9harris-cornersharris-interest-point-detectorhog-featuresimage-algorithmsimage-recognitionopenpanootsusurfcpp
11.0 match 279 stars 5.14 score 7 scriptsbnosac
image.CornerDetectionHarris:Implementation of the Harris Corner Detection for Images
An implementation of the Harris Corner Detection as described in the paper "An Analysis and Implementation of the Harris Corner Detector" by Sánchez J. et al (2018) available at <doi:10.5201/ipol.2018.229>. The package allows to detect relevant points in images which are characteristic to the digital image.
Maintained by Jan Wijffels. Last updated 1 years ago.
canny-edge-detectioncomputer-visioncontoursdarknetdlibf9harris-cornersharris-interest-point-detectorhog-featuresimage-algorithmsimage-recognitionopenpanootsusurfcppopenmp
11.0 match 279 stars 5.14 score 2 scriptsbnosac
image.CannyEdges:Implementation of the Canny Edge Detector for Images
An implementation of the Canny Edge Detector for detecting edges in images. The package provides an interface to the algorithm available at <https://github.com/Neseb/canny>.
Maintained by Jan Wijffels. Last updated 1 years ago.
canny-edge-detectioncomputer-visioncontoursdarknetdlibf9harris-cornersharris-interest-point-detectorhog-featuresimage-algorithmsimage-recognitionopenpanootsusurffftw3cpp
11.0 match 278 stars 5.14 score 6 scripts
glenndavis52
colorSpec:Color Calculations with Emphasis on Spectral Data
Calculate with spectral properties of light sources, materials, cameras, eyes, and scanners. Build complex systems from simpler parts using a spectral product algebra. For light sources, compute CCT, CRI, SSI, and IES TM-30 reports. For object colors, compute optimal colors and Logvinenko coordinates. Work with the standard CIE illuminants and color matching functions, and read spectra from text files, including CGATS files. Estimate a spectrum from its response. A user guide and 9 vignettes are included.
Maintained by Glenn Davis. Last updated 1 months ago.
3.2 match 2 stars 6.34 score 73 scripts 5 dependents