Reprint Please specify source: Danscarlett's Blog ParkOpenCV is the most widely used open source toolkit in the field of computer vision, based on C + +, supports Linux/windows/macos/android/ios, and provides interfaces to languages such as Python,matlab and Java. 2010 OPENCV released the 2.0 version, added a very complete C + + interface, from 2.0 onwards the version of the very user is very large, is still maintained and updated. The 2015
Opencv training ClassifierI. Introduction
The target detection method was initially proposed by Paul Viola [vila01] and improved by Rainer lienhart [lienhart02.
The basic steps of this method are as follows:
First, a cascade boosted classifier is obtained by training the classifier using the Harr feature of the sample (about several hundred sample images.
In a c
Installation EnvironmentOperating system:Red Hat Enterprise Linux Server 6.3Related software:OPENCV-2.3.1A.TAR.BZ2, cmake-3.5.1.tar.gz:OpenCV:http://downloads.sourceforge.net/project/opencvlibrary/opencv-unix/2.3.1/OpenCV-2.3.1a.tar.bz2CMake:Https://cmake.org/files/v3.5/cmake-3.5.1.tar.gzinstallation processCMake InstallationDescriptionCMake is a cross-platform installation (compilation) tool that can be us
Learning OpenCV learning notes series (3) display pictures and videos, opencv learning notes
OpenCV is a computer vision library, so there are only two objects to process: "Images" and "videos" (in fact, videos are also extracted into single-frame images for processing. In general, or image processing ).
To learn OpenCV
[Opencv + python in ubuntu] install opencv in ubuntu
This article will introduce how to install opencv 2.4.10 in ubuntu 14.04. I know that it is not easy to get started. It is better to teach people to fish than to teach them to fish. I hope I can help some friends.
Prepare a stable system, select a source with good connection status (search for software update
Summary:
Due to the recent AR (augmented reality) concept is very hot, a variety of AR-based applications and games are gradually facing the public, and in the AR is the most important two technology is tracking recognition and enhanced rendering, in which tracking recognition is through OPENCV this open-source computer vision Library to achieve, so I want to study this library, Here is a personal study note, not an authoritative tutorial, if you have
OpenCV getting started, opencvOpenCV getting started-Key Point description child match Brute-forceThe keypoint descriptors matching is performed after the feature vectors are extracted from the image to determine the matching degree between the specific image and the image in the training set. The BFMatcher Brute force matching class inherits from the abstract class DescriptorMatcher, "Brute-force descripto
The "OpenCV Getting Started Guide" series has been explained in eleven articles. I believe you have a preliminary understanding of OpenCV. Some netizens reported how they could not copy their own OpenCV programs to others' computers? For computer experts, this question is not worth mentioning. However, for new users, there is a detailed article to teach them to s
and click on the button to listen:Mbutton = (Button) Findviewbyid (R.ID.DEAL_BTN); Mbutton.setonclicklistener (new Onclicklistener () {@Overridepublic void OnClick (View v) {if (cur_stateHere the status flag bit cur_state corresponds to each type of image processing, 0 corresponds to the default state, that is, the display of the original, 1-7 respectively corresponds to:ashing, Canny edge detection, hist histogram calculation, Sobel edge detection, SEPIA (Hue transform), Zoom Magnifier, pixeli
1. Install OpenCV Library1.1 Double-click Opencv-2.4.9.exe to install to the specified directory.1.2 Install VC2010 Run library, Baidu search VC2010 Run library, download and install. If you complete all of the following configuration after running the program prompt also missing files such as DLLs, need to use 360 repair, enter the manual service, search for the missing DLL files, click Repair.1.3 Add the
First of all, thank De Lihui Teacher Translation finishing of the "Opencv-python Chinese course", this document is really good, for OpenCV beginners, help is very large, can let beginners quick start.
Recommend two OPENCV learning sites:
(1) http://docs.opencv.org/2.4/index.html
This site can query the use of OPENCV fu
Adjust the object recognition parameters of the AdaBoost Cascade classifier based on the Haar feature 1. Object recognition problem of AdaBoost Cascade classifier based on Haar featurePaul A. Viola and Michael J. Jones published in 2001 the article "Fast object detection using simple features to improve cascade detectors." At the same time, many bloggers in csdn from 07 to 13 have made a lot of work on the principle of this method, library function content, the
Recently, I am writing my own algorithms, which are actually an improvement for some traditional algorithms. For more information about traditional algorithms, see opecv source code. While reading the source code, I gradually realized the power of opencv, not because it implements various algorithms, but because it designs basic data structures, others can easily use these data structures to implement their own algorithms. The help manual provides det
[OpenCV] expands the image boundary and opencv expands the image boundary.
In image processing, some attribute values at the current pixel position are often calculated using the adjacent pixels of the current pixel. This will lead to cross-border access to the border pixel. Generally, there are two ways to solve this problem: this article mainly introduces how to use O
When running opencv today, the error "tbb_debug.dll" is not found. I searched the internet and found that both solutions are valid. Leave this note for future use.
Method 1: Under the opencv-2.3.1 \ build \ common \ TBB \ ia32 \ VC10 There Is a tbb. dll file, copy it to your project DEBUG directory and change it to tbb_debug.
Method 2: download an Intel TBB 3.0Http://www.threadingbuildingblocks.org/...
achieve the location of XXX numbers by OPENCV, based on template matching technology and feature matching technology)8.3.2 using TESSERACT-OCR API to identify8.4 Improve OCR recognition rate8.4.1 Training Custom data (telling how to train custom data in TESSERACT-OCR)8.4.2 Image preprocessing (describes how to achieve skew correction through OPENCV, noise interf
Transplant OPENCV library on zedboard, and transplant opencv on zedboardTransplant OPENCV library on zedboardWe have done a lot of work before porting the OPENCV library, but the various libraries that need to be included need to be cross-compiled, X264, JPGE, FFMPGE, etc.
Note: In chapter 13 of the "Practical Guide to
OpenCV basics-Mat data structure and opencv BasicsProcedure and Analysis
/* * FileName : MatObj.cpp * Author : xiahouzuoxin @163.com * Version : v1.0 * Date : Thu 15 May 2014 09:12:45 PM CST * Brief : * * Copyright (C) MICL,USTB */#include
Mat is the most basic data structure of OpenCV. Mat is the abbreviation of Matrix. Mat data structure consists
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