learning opencv 3

Label: Convert opencv image to video I have explained the method and code for converting videos to images in opencv. This time, I want to explain how opencv converts images to videos: Download the complete code in this article 1 videowriter description Here we mainly use a class in opencv: videowriter Its

Recently in the process of learning OpenCV, found a very good book "Mastering OpenCV with practical Computer Vision". In this book, the author explains how to use OPENCV (c + + version) in Practical computer vision projects in a very understandable way. Unfortunately, there is no Chinese version of the book so far. So

Python OpenCV learning notes histogram reverse projection implementation, pythonopencv This article introduces the implementation of the reverse projection of the python OpenCV learning note histogram. The details are as follows: Documents-https://docs.opencv.org/3.4.0/dc/df6/tutorial_py_histogram_backprojection.html I

); // cvwaitkey (0); // "gift hat" cvmorphologyex (SRC, IMG, temp, null, // default 3*3 cv_mop_tophat, 3); cvshowimage ("tophat ", IMG); // cvwaitkey (0); // "Black Hat" cvmorphologyex (SRC, IMG, temp, null, // default 3*3 cv_mop_blackhat,

I haven't made a summary for a while. I don't know what I'm busy with every day! Now it takes an hour to summarize the learning in the last few days. Edge detection technology is the first step in image analysis. It uses the extreme values of the first derivative of the image or the zero point information of the second derivative to extract the edge. To put it simply, it is the problem of gray-scale image changes. In some places, image changes are slo

getHistogram(const cv::Mat image) ; cv::SparseMat getSparseHistogram(const cv::Mat image) ;private: int histSize[3]; float hranges[2]; const float* ranges[3]; int channels[3];};Two functions Gethistogram and Getsparsehistogram are implemented here. The only difference is that Getsparsehistogram returns a sparse matrix.Cv::matnd Colorhistogram::get

OpenCV Learning (calculate the histogram of images)OpenCV calculates the histogram of the image Calculating the histogram of an image is a very common operation in the field of image processing. OpenCV provides the calcHist function to calculate the image histogram. However, this function is quite difficult to tell the

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

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

20091027-Update: For how to install OpenCV2.0 in VS2008, see 《Install OpenCV2.0 in VC 2008 Express. 1. OpenCV: http://sourceforge.net/projects/opencvlibrary/ 2. Useful Websites: (1) Visit OpenCV Wikipedia-pages at http://opencv.willowgarage.com/wiki/ and look for the information there (and/or add it when you have found a solution)(2) Search through OpenCV archiv

Uchar *p = NULL; p = pframe->data[1];p frame->data[1] = pframe->data[2];p frame->data[2] = P;sws_scale (Img_convert_ctx, Pframe->data, pframe->linesize, 0, Pcodecctx->height,pframergb->data, pframergb->linesize); if (img_ CONVERT_CTX) {sws_freecontext (img_convert_ctx); img_convert_ctx = NULL;} Iplimage * Image; Cvsize size = cvsize (Pcodecctx->width, pcodecctx->height); Image = cvcreateimage (Size, ipl_depth_8u, 3); memcpy (image->imagedata, buffer,

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

OverviewThis is the SVM learning note for OPENCV, based on the modification and recording of the OPENCV official SVM tutorial. OpenCV's SVM tutorial is as follows: Original: http://docs.opencv.org/doc/tutorials/ml/introduction_to_svm/introduction_to_svm.html# Introductiontosvms Chinese Translation version: http://www.opencv.org.cn/opencvdoc/2.3.2/html/doc/tutoria

From: http://blog.sciencenet.cn/blog-297739-251363.html Explanation of iplimage structure: Typedef struct _ iplimage{Int nsize;/* Iplimage size */Int ID;/* Version (= 0 )*/Int nchannels;/* Most opencv Functions Support 1, 2, 3, or 4 channels */Int alphachannel;/* Ignored by opencv */Int depth;/* Pixel bit depth: ipl_depth_8u, ipl_depth_8s, ipl_depth_16u,Ipl_de

. cv_retr_list do not use hierarchies to get all contours. cv_retr_ccomp uses two hierarchies to get all contours. method -Contour estimate. cv_chain_approx_none stores absolutely all The contour points. That's, any 2 subsequent points (x1,y1) and (x2,y2) of the contour would be either horizontal, V Ertical or diagonal neighbors, that's, Max (ABS (X1-X2), ABS (Y2-Y1)) ==1 . cv_chain_approx_simple compresses horizontal, Vertical,

example: # Include "stdafx. H "# include" CV. H "# include" cxcore. H "# include" highgui. H "int main (INT argc, char ** argv) {// declare iplimage pointer iplimage * IMG = NULL; iplimage * cannyimg = NULL; char * filename; filename = "lena.png"; IMG = cvloadimage (filename, 1); // load the image and forcibly convert it to grayif (IMG = cvloadimage (filename, 0 ))! = 0) {// apply for the cannyimg = cvcreateimage (cvgetsize (IMG), ipl_depth_8u, 1) for the cell-edge image of the state-of-the-ar

From: http://www.cnblogs.com/yangyangcv/archive/2012/03/23/2413335.html One-point OpenMP experience Recently I am reading multi-core programming. To put it simply, because the computer CPU usually has two cores, the 4-core and 8-core CPUs have gradually entered the ordinary home, the traditional single-Thread Programming Method is difficult to use the powerful functions of multi-core CPU, so multi-core programming came into being. According to my understanding, multi-core programming can be cons

VERSION:OPENCV 2.4.9ide:vs2010Os:windows-----------------------------------------------------------------------------------GoalIn this tutorial you'll learn how to:load an image (using imread)Create a named OpenCV window (using namedwindow)display an image in an OpenCV window (using imshow)Source Code1#include 2#include 3#include 4 5 using namespaceCV;6 using nam

1,Differences between dynamic and static libraries in opencv Lib is a dynamic library, and staticlib is a static library. This is a description of the dynamic and static libraries in opencv tutorials. A dynamic library is a library file that is loaded at runtime. The static library file will build-in inside your EXE file during your build. The advantage is that you can avoid accidental deletion, but the

OpenCV of Basic Learning Notes (15): Discrete Fourier transform This paper mainly introduces how to use OPENCV to carry on the Fourier transform of the image, its core function is the DFT (OPENCV). The technique of DFT is to map the spatial domain to the frequency domain, which plays an important role in image process