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shape_based_matching_algorithm

old version of template matching method

shape_context

shape_context_demo

shape_desc_bench

Code to evaluate shape descriptors performances in terms of Cumulative Match Characteristic (CMC), Receiver Operator Characteristic (ROC) and Princeton protocol (Kim) curves

shapecontextdemo

A Shape Context Demo for Pattern Recognition

shapecontextimagesegmentation

Using shape context method to do feature extraction and then using SVM to train the model

shapeidentification

published implementation of my uncertainty shape identification algorithm

shapematch

Edge based Template Matching

shapematcher

A shape matching robot.

shapematching

Shape-based image retrieval experiments

shapematching-1

It's a training excercise and the code is basically copied from Andrew(https://github.com/ag8).

shapematching-2

ECE 6840 final project

shapematching-3

shapematching-4

Shape Matching and Object Recognition Using Shape Contexts

shapes

Class hierarchy for representing 2D/3D shapes

shapeviewer

GUI for manipulation and edition of geometric shapes and scenes

sharesnet

ShaResNet: reducing residual network parameter number by sharing weights

sharp-context

Sharp Context is a C# implementation of Shape Context.

sharpmap

An easy-to-use mapping library for use in web and desktop applications

sharpness

Image Quality Assessment of Sharpness

shiftpoints

Shift Points is a QGIS plugin that moves points with same coordinates in a circle around the original position

shinymlr

shiny-mlr: Integration of the mlr package into shiny

shoe-shape-classifier

Using the shape context algorithm to classify shoe shapes

shogun

The Shogun Machine Learning Toolbox (Source Code)

shogun-data

The Shogun Machine Learning Toolbox (Data Sets)

shogun-external

Shogun's external packages

shogun-gpl

Optional GPL compatible parts of Shogun

shogun-tutorial

Shogun Tutorial

shred

Matlab code for estimating Hyperspectral data from RGB/Multispectral images

shufflenet

ShuffleNet in PyTorch. Based on https://arxiv.org/abs/1707.01083