Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Pedestrian_detection | 224 | 7 years ago | 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 | ||||||||||
Easypr Dll Csharp | 160 | 5 years ago | 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. ) | ||||||||||
Vehicle License Plate Recognition | 155 | 5 years ago | 3 | mit | Python | |||||
:fire: :fire::fire:基于Python的车牌检测和识别系统: | ||||||||||
Scene Text Recognition | 131 | 4 years ago | 3 | mit | C++ | |||||
Scene text detection and recognition based on Extremal Region(ER) | ||||||||||
No Reference Image Quality Assessment Using Brisque Model | 122 | 3 years ago | 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) | ||||||||||
Ios Rubik Solver | 104 | 5 years ago | 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. | ||||||||||
Vehicle_counting_hog_svm | 78 | 6 years ago | 3 | mit | C++ | |||||
Vehicle Detection, Tracking and Counting by SVM with HOG Features with OpenCV | ||||||||||
Indian Sign Language Recognition | 62 | 6 years ago | 9 | mit | Python | |||||
This repository contains the code which can recognise the alphabets in Indian sign language for blind using opencv and tensorflow. | ||||||||||
Vehicle Tracking 2 | 60 | 6 years ago | 1 | mit | Jupyter Notebook | |||||
A vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM). | ||||||||||
Vehicle Detection And Tracking | 55 | 6 years ago | Jupyter Notebook | |||||||
Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking |