cv videocapture

# Include Using namespace STD;Using namespace CV;Int main (INT argc, char * argv [], char * window_name){// Read the videoConst string source = "Global. Avi ";Videocapture inputvideo (source ); // Determine whether the read is successfulIf (! Inputvideo. isopened ()){Cout Return-1; } String: size_type PAT = source. find_last_of ('.'); Char channelnum;Cout Cin> channelnum;Const string name = source. substr

Cmake_minimum_required (VERSION 2.8) // OpenCVTutorial is my project name. You can replace it with your own project (OpenCVTutorial) // OpenCV 2 will be used here, So OpenCV find_package (OpenCV) include_directories ($ {OpenCV_INCLUDE_DIRS}) // OpenCVTutorial is the project name, OpenCVTutorial. cpp is the source file add_executable (OpenCVTutorial. cpp) // OpenCVTutorial is the project name target_link_libraries (OpenCVTutorial $ {OpenCV_LIBS}) to create OpenCVTutorial. cpp source file # inclu

Recently in the system of learning OPENCV basic knowledge, before the system to learn OpenCV Foundation, in the use of OPENCV will often encounter a variety of problems, it is necessary to learn the basis of the system, good Foundation will make the study and practice more smoothly;The following code OPENCV the mouse interaction#include using namespace CV;#define WINDONWNAME "Draw a rectangle"void Onmouse (int event, int x, int y, int flag, void*);voi

Last night to OPENCV study notes to tidy up, when running OPENCV call camera program always appear assertion failed (size.width>0 size.height>0) in CV:: Imshow, the last look at the data to know is because the call Imshow () function when the mat is empty caused, may be at the beginning of the camera is not initialized successfully, call Imshow () cause the program has been started down, Just determine if the incoming mat is empty in the while loop.#

用OpenCV 2，所以是OpenCV find_package( OpenCV ) include_directories( ${OpenCV_INCLUDE_DIRS} ) //OpenCVTutorial是工程名，OpenCVTutorial.cpp是源文件 add_executable( OpenCVTutorial OpenCVTutorial.cpp ) //OpenCVTutorial是工程名 target_link_libraries( OpenCVTutorial ${OpenCV_LIBS} )New OpenCVTutorial.cpp source file #include "opencv2/highgui/highgui.hpp" #include "opencv2/imgproc/imgproc.hpp" #include "opencv2/core/core.hpp" using namespace cv;

OPENCV color target Tracking using namespace CV;using namespace Std;-----------------------------------"global variable Declaration"-----------------------------------------Description: Declaring global variables//-------------------------------------------------------------------------------------------------Mat image;BOOL Backprojmode = false;BOOL SelectObject = false;int trackobject = 0;bool Showhist = true;Point origin;Rect selection;int vmin = te

distributed. For details, refer to the ranges parameter. Accumulate: Indicates whether to clear the passed hist. If not cleared, the histogram of multiple images can be accumulated. Looking at the above explanation, we should be able to see how troublesome this function is. However, we generally only use some of the most basic functions. For example, calculate the histogram of a single channel grayscale image. The value range of the histogram is generally 0 to 255. In this case, we can encapsul

) (Imagebufferlist[i-2]) *denominator; floatB = (int) (Imagebufferlist[i-3]) *denominator; Colorarray.add (NewColor (R, G, B, a)); } //the list can then be used for further processing.} photocaptureobject.stopphotomodeasync (Onstoppedphotomode); }Video Capture Capturing videos namespaces : UnityEngine.VR.WSA.WebCamtype : videocaptureThe use of capturing video is similar to capturing a photo, except that you must specify a frame rate (FPS) and you can only store the video directly

Long time no update, forgive yourself put a fake recently in a hurry, so ... The updated content is very close to the eighth chapter, because the most recent work to jump first, the following will update the note number ... Come on, come on!Finding outlines in a binary imagevoid cv::findcontours ( inputoutputarray image, outputarrayofarrays contours, outputarray hierarchy,

(internal) filter aperture size DoubleK//Parameters //Maximum strength value DoubleMaxstrength;//Threshold value DoubleThreshold Public://InitializeHarrisdetector (): Neighbourhood (3), Aperture (3), K (0.1), Maxstrength (0.0), Threshold (0.01){}//harris Corner Point detection voidDetectConstCv::mat image) {//Detect Harris Value, return image each pixel is a Harris value, type 32-bit floating-point numberCv::cornerharris (image, Conerstrength, neighbourhood, Aperture, k);//non-ma

Talk was cheap, show you the code:/************************************************************************// * NAME:OPENCV SVM Test * // * DATE:2015/11/7 * // * Author:aban * //************************************************************************///Note:the code is modified from the Internet.#include iostream>#include Cmath>#include string>using namespace Std;#include Opencv2/opencv.Hpp>#include Opencv2/ml.Hpp>Using namespace Cv;bool plotsupportve

Import cv2.cv as cv # Load imageFilename = "../Video/cat.jpg"Image = cv. LoadImage (filename) # Set created imageSize = cv. GetSize (image) # (100,100)Depth = 8Channels = 1 Grayscale ProcessingGray = cv. CreateImage (size, depth, channels) # create one 100x100 single channel

to take the local minimum value in the residential area of the source image. Because it is a binarization image, There is only 0 and 255, so a pixel in the residential area is 0 and the pixel is 0, so that the edge of the source image will become 0, to achieve the goal of slimming. Used in opencvcv2.erode()The function performs corrosion by specifying the size of the core: IMG = cv2.imread('j.bmp ', 0) kernel = NP. Ones (5, 5), NP. uint8) Erosion = cv2.erode (IMG, kernel) # Corrosion This core

Synchronous OMP algorithm, the main idea is: Similar atoms have the same sparse characteristics. Therefore, when sparse representation of similar atoms, assuming that the sparse atom is in the same position, and its selection in the over-complete dictionary of the same atom, the OMP algorithm is the SOMP algorithm in the original signal is an atomThe special circumstances of the time. The OMP algorithm can be unified into the SOMP algorithm, and its solution process is almost the same as the OM

Basic data structures and examples for OPENCVThe strong mat types in the OpenCV are already familiar to us. Here are some of the basic data types that are commonly used in engineering. Including:VecScalarPointSizeRectRotatedrect 1. Vec class 1.1 Basic Concepts Vec is a template class that is used primarily to store numeric vectors. 1.2 usage (1) Accessing VEC vector members using []myvector[0]=0;(2) Use it to define any type of vectorVec(3) The following predefined types can be used typedef vec

LBPV is a var (variance bar), the Var calculation formula:The above GP is the domain pixel value and then normalized.2. PyramidsA total of three levels of pyramid, i0,i1,i2,i0 for the input image, I0 through the Gaussian lowpass filter (Gaussian low pass filter, LPF), and then the next sample to get I1 (sample size 2), also by I1 to get I2,Finally, from bottom to top, each level is extracted in a unified mode LBP, rotation unchanged LBP, uniform rotation of LBP, in the order of the following co

Operation Steps:1. Load images (grayscale or color) and make them consistent in size;2. If the color map, improve the line color space transformation, from RGB to HSV, if the gray-scale map does not need to transform;3. If the histogram is calculated directly, and the histogram is normalized;4. If the color graph, the color histogram is computed, and the color histogram normalization;5. Use similarity formulas, such as correlation coefficients, chi-square, intersections, or babbitt distances, to

Grabcut Code from http://www.cnblogs.com/tornadomeet/archive/2012/11/09/2763271.html # Include The grabcut method code provided by opencv2 is not easy to implement. class WatershedSegmenter {private:cv::Mat markers;public:void setMarkers(const cv::Mat markerImage) {// Convert to image of intsmarkerImage.convertTo(markers,CV_32S);}cv::Mat process(const cv::Mat i

For Caffe networks that are well trainedInput: Color or grayscale imageDo minist under the handwriting recognition classification, can not be used directly, you need to remove the mean image, while the input image pixels normalized to 0-1 directly. #include #include #include #include #include #include #include #include #include using namespace Caffe; Nolint (build/namespaces)Using Std::string;/* Pair (label, confidence) representing a prediction. *//* PAIR (label, confidence) forecast */typedef

} ~Histogram1D(); // Computes the 1D histogram and returns an image of it. cv::Mat getHistogramImage(const cv::Mat image); // Computes the 1D histogram. cv::MatND getHistogram(const cv::Mat image);private: int histSize[1]; // number of bins float hranges[2]; // min and max pixel value const