Pedestrian_detection Alternatives

通过HOG+SVM训练进行行人检测,行人数据库使用INRIAPerson,程序基于OpenCV实现
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Alternatives To icsfy/Pedestrian_Detection
Project Name Stars Downloads Repos Using This Packages Using This Most Recent Commit Total Releases Latest Release Open Issues License Language
icsfy/Pedestrian_Detection 224 0 0 almost 9 years ago 0 1 C++
通过HOG+SVM训练进行行人检测,行人数据库使用INRIAPerson,程序基于OpenCV实现
zhang-can/EasyPR-DLL-CSharp 160 0 0 over 7 years ago 0 12 apache-2.0 C++
EasyPR 1.5 的DLL版本——通过C#调用DLL文件来实现界面展现。(The DLL version of EasyPR 1.5: Achieving interface display by using the C # language to call DLL file. )
DataXujing/vehicle-license-plate-recognition 155 0 0 almost 7 years ago 0 3 mit Python
:fire: :fire::fire:基于Python的车牌检测和识别系统:
HsiehYiChia/Scene-text-recognition 131 0 0 almost 6 years ago 0 3 mit C++
Scene text detection and recognition based on Extremal Region(ER)
krshrimali/No-Reference-Image-Quality-Assessment-using-BRISQUE-Model 122 0 0 over 4 years ago 0 4 mit C++
Implementation of the paper "No Reference Image Quality Assessment in the Spatial Domain" by A Mittal et al. in OpenCV (using both C++ and Python)
rhcpfan/ios-rubik-solver 104 0 0 over 7 years ago 0 1 mit C++
An iOS app that detects a 3x3 Rubik's cube, recognizes the color of all cubies, solves it and provides a 3D visualisation of the solving process.
ahmetozlu/vehicle_counting_hog_svm 78 0 0 over 8 years ago 0 3 mit C++
Vehicle Detection, Tracking and Counting by SVM with HOG Features with OpenCV
imRishabhGupta/Indian-Sign-Language-Recognition 62 0 0 about 8 years ago 0 9 mit Python
This repository contains the code which can recognise the alphabets in Indian sign language for blind using opencv and tensorflow.
mithi/vehicle-tracking-2 60 0 0 over 7 years ago 0 1 mit Jupyter Notebook
A vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM).
NikolasEnt/Vehicle-Detection-and-Tracking 55 0 0 over 8 years ago 0 0 Jupyter Notebook
Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking
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