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cameras_t
License Plate Recognition identifiable license plates of various mainland, including the blue card and card, yellow card and white card, black card to identify them from Hong Kong, Macao plate yellow card to identify the single-row yellow plates, large car number plates and motorcycle license white card can be identified, including a police vehicle, the armed police and military license plates.
- 2010-02-11 01:38:56下载
- 积分：1
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Bilinear-Interpolation
基于MATLAB编写的双线性插值法函数，用于通过双线形插值法实现灰度图像的缩小和放大(Function of Bilinear Interpolation for Digital Image Processing)
- 2011-10-07 03:27:47下载
- 积分：1
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simple_ipc
GM8126 Simple IPCAM demo source code
- 2014-01-08 16:35:56下载
- 积分：1
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汽车工况构建
说明： 通过实际采集到的数据，数显通过数据预处理，进行不良数据的清洗，然后通过PCA降维，k均值聚类提取运动学片段，建立运动学片段库，通过随机策略提取运动学片段构成汽车行驶工况。(Through the actual collected data, the digital display cleans the bad data through data pretreatment, and then extracts the kinematics fragments through PCA dimensionality reduction, K-means clustering, establishes the kinematics fragments library, and extracts the kinematics fragments through random strategy to form the driving conditions of the vehicle.)
- 2019-09-23 20:13:13下载
- 积分：1
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motionEstNTSS
matlab语言编写 新三步搜索算法 ，希望大家有用(New Three Step Search Algorithm)
- 2010-05-07 07:24:01下载
- 积分：1
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Integer-programming--matlab-code
整数规划的matlab代码，常用的优化工具！(Integer programming matlab code, commonly used optimization tools!)
- 2013-09-25 00:09:25下载
- 积分：1
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Histogram-OrientedGradient
HOG（Histogram of Oriented Gradient）方向梯度直方图，主要用来提取图像特征，最常用的是结合svm进行行人检测。(HOG (Histogram of Oriented Gradient) direction of the gradient histogram is mainly used to extract image features, the most commonly used is a combination of svm detect pedestrians.)
- 2015-01-15 15:21:10下载
- 积分：1
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main
粒子群优化算法，粒子群优化算法基本流程，稍加修改即可应用(Particle Swarm Optimization)
- 2013-12-30 19:46:36下载
- 积分：1
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GA
说明： 改进遗传算法程序，用来优化参数的选择，很好用的方法(GA)
- 2010-12-13 12:51:55下载
- 积分：1
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vr
说明： 混沌工具function [dlogCr,dlogr,dlogCrCI]=vr(logCr,logr,alpha)(function [dlogCr,dlogr,dlogCrCI]=vr(logCr,logr,alpha))
- 2010-04-25 23:58:45下载
- 积分：1
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