learning opencv

In order to verify the algorithm in the previous blog, you can make a slight modification by using the image structure in opencv. For simplicity, using mat. at In the algorithm, manually select the threshold value for binarization of the image, which has a great impact on the effect of the watershed algorithm. We have also used cvadaptivethreshold in opencv to automatically select and seek, but the effect

Labels: opencv learning notes To learn opencv well, you must first know how to configure the environment. Take your own configuration environment as an example. The steps are as follows. Step 1 download and decompress the opencv source code Although many third-party websites and some

To learn opencv well, you must first know how to configure the environment. Take your own configuration environment as an example. The steps are as follows. Step 1 download and decompress the opencv source code Although many third-party websites and some learning forums provide opencv source code downloads, we recommen

1,Learning Method: Http://www.opencv.org.cn/forum.php? MoD = viewthread tid = 7055 extra = page = 1 First of all, let's talk about how to learn opencv. I remember that when I first went to the lab, my brother showed me opencv. At that time, my academic foundation was very poor and my programming skills were very good. So I felt helpless when I learned

Because in writing an image of the data structure, found oneself only know cvmat, unexpectedly still have mat data structure, really ignorant, see so many programs, seemingly did not see this structure. It's possible that those programs are examples of older versions, which were added after 2.0, so I have to follow them. The following is your own learning experience .... Introduction of Mat OpenCV was built

Reprint: Https://mp.weixin.qq.com/s/J6eo4MRQY7jLo7P-b3nvJg Li Lin compiled from PyimagesearchAuthor Adrian rosebrockQuantum bit Report | Public number Qbitai OpenCV is a 2000 release of the open-source computer vision Library, with object recognition, image segmentation, face recognition, motion recognition and other functions, can be run on Linux, Windows, Android, Mac OS and other operating systems, with lightweight, efficient known, and provides

Learning opencv (Chinese Version) [Original book name] Learning opencv: computer vision with the opencv Library[Original Publishing House] O 'Reilly media, Inc.Author: Gary bradski and Adrian kaehlerTranslated by Yu Shiqi and Liu Ruiqi [same translator's work][Description]

that C # is inefficient, using C/C++,OPENCV is written in C and C + +, it should be run in VC + +, image processing is a very large amount of work, C # not. C # operation Efficiency is certainly worse than C + +, but the use of hybrid programming method can be, with C # Framework and operating mechanism, calculation to C is good. EMGUCV many of the processing functions are managed calls with OPENCV. This c

successfully),Know that the oncameraframe should be modified to process each frame of the image.3. How to implement a simple OPENCV text location algorithm based on connected domain analysis and embed the algorithm into the application?Algorithm flow, the color of the frame image of the binary, after the two-valued connected domain analysis, analysis of each connected domain, the connected domain analysis, to remove some non-conformance, the remainin

The first time win7+vs2010+opencv3.0, the results are unsuccessful, the reason for the extraction of no VC10, may not be in the new version of the old VC support. So changed vs2013+opencv3.0, compared to the classic installation vs2010+opencv2.4.9, the new version has a lot of functions or address changes, 3.0 Sometimes the video screen may be wrong.Here are the installation procedures for my vs2013+opencv3.0:The following starts to describe how to configure, I use the system is win8.1 64-bit sy

functional definition4 powerful image and matrix computing power5 convenient and flexible user interface6 at the same time support Ms-windows, Linux platformAs a basic open source project for computer vision, image processing and pattern recognition, OPENCV can be used directly in many fields as the ideal tool for the second development. OpenCV Function Introduction: The

The theory of particle filter is really amazing. It uses a set of random states with different weights to approach complex probability density functions. It has excellent characteristics in non-linear and non-Gaussian systems. Opencv provides an implementation, but does not provide an example. During the learning process, the network cannot be found. Learning

Python OpenCV learning notes: how to draw a histogram, pythonopencv This article mainly introduces how to draw a histogram using python OpenCV learning notes. I think it is quite good. I will share it with you and give you a reference. Let's take a look at it with xiaobian. Documents-https://docs.opencv.org/3.4.0/d1/db

　　Preface Histogram is a very important tool in computer vision. opencv provides many functions related to histogram processing. The most basic function is to calculate the histogram function calchist (). The histogram is also introduced in the previous blog: opencv (4) of basic learning notes: histogram usage learning

) {returnInputframe.rgba (); }}The first is the OPENCV initialization process, onmanagerconnected callback is called in the UI thread, and must be included before using the OPENCV call or loading the local library of the OPENCV support. When the OPENCV is successfully initialized and loaded into the local library, the

original articles, reproduced please indicate the source ... I. Background of the problem Recently to do a learning sharing report on Cuda, I would like to make an example of using Cuda for image processing in the report, and use shared memory to avoid the global memory not merging, improve image processing performance. But for the CUDA program how to read the image a little puzzled, online found a "second Cuda program-image Stretching" blog Click o

Label: opencv 1.0 single-step debugging vs2010 opencv source code learning I have been in contact with opencv for several years since 2011 and have been writing some small programs. I have used the manual to complete some tasks and have not studied the code in depth. Now I graduated from, but failed to enter the imag

1: Download several dependencies:Update software Source: sudo apt-get update/upgrade;Install the dependencies in turn:sudo apt-get install build-essentialsudo apt-get install CMakesudo apt-get install Libgtk2.0-devsudo apt-get install Pkg-configsudo apt-get install Python-dev python-numpysudo apt-get install Libavcodec-dev libavformat-dev libswscale-dev libjpeg-dev libpng-dev libtiff-dev Libjasper-dev2: Get Source code: I download opencv2.4.10 Linux version from

OpenCV learning notes: 2.49 + Eclipse configuration tutorial, opencv2.49 1. Install the opencv Library 1.1 double-click opencv-2.4.9.exe and install it in the specified directory. 1.2 install the VC2010 Runtime Library. Baidu searches for the VC2010 Runtime Library and downloads and installs it. If the system prompts

.-isrc-iinclude-iinclude/opencv-iinclude/opencv2-I.-I.LINK = arm-linux-g++Lflags =-wl,-o1-wl,-rpath,/opt/embedsky/qt-4.5/__install/arm/lib. 　 LIBS= $ (sublibs)-l/opt/embedsky/qt-4.5/__install/arm//lib-l.-lopencv_core-lopencv_highgui-lopencv_imgproc-lqtgui-l/tslib-1.4/libc-l/opt/embedsky/qt-4.5/__install/arm//lib-lts-lqtnetwork-lqtcore-lm-lrt-ldl-lpthreadAR = Arm-linux-ar CQSRanlib =QMAKE =/opt/embedsky/qt-4.5/__install/arm/bin/qmakeThe contents of the