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C++ source code of Grey Level Co-occurrence Matrix

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Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.

distance-estimation-and-depth-map-creation-using-opencv icon distance-estimation-and-depth-map-creation-using-opencv

In this day and age, when google cars and tesla’s autopilot features are becoming more mainstream, combined with the huge advances in machine learning and computer vision. It has become more important for us to understand and learn the fundamental and basic steps of computer vision. The purpose of this project is to identify a method of image processing that can then be used to develop a software tool. The tool itself will be used to work out the distance that certain objects are away from it using stereo vision. This tool will also allow the user to calibrate the cameras and take both pictures and videos. The hardware used in this project will be low-end but the steps and methods used should be easily transferable and usable with most equipment.

easykf icon easykf

C++ Kalman filtering (Extended Kalman Filter, Unscented Kalman Filter)

ed_lib icon ed_lib

Implementations of edge (ED, EDColor, EDPF), line (EDLines), circle and low eccentric ellipse (EDCircles) detection algorithms.

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Python Package for Edge Drawing Algorithm + Line Detection on image

exemplarsvm icon exemplarsvm

Ensemble of Exemplar-SVMs for Object Detection and Beyond

fast-match icon fast-match

Port of Fast Affine Template Matching algorithm

fastannotationtool icon fastannotationtool

A tool using OpenCV to annotate images for image classification, optical character reading, ...

fcm icon fcm

Implements the Fuzzy c-Means Algorithm

featurematching icon featurematching

Use feature matching algorithms included in OpenCV to match images, and write results to file format that can be uploaded to VisualSFM

finet icon finet

Foggy Insulator Network, Dataset and Code. Improved object detection network, synthetic fog, data augmentation, channel attention mechanism. Insulator & defect detection

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