opencv training

The second chapter describes how to implement the calibration-based Augmented reality on the iOS platform, including the following four aspects: 1. Build opencv project on iOS platform 2. Marker Detection and Recognition 3. Camera Calibration and marker pose estimation 4. rendering a 3D virtual object based on marker The first part is the development of the iOS platform. I am not too concerned about it. The fourth part is the establishment of a 3D vir

It is also interesting to draw cartoons with opencv when you are idle, although the effect is not good (it cannot achieve the effect achieved above ), The parameter needs to be adjusted. It is more suitable for images with large sizes and low noise. You can also familiarize yourself with various filtering operations, such as bilateral filtering; # Include "CV. H "# include" highgui. H "using namespace CV; using namespace STD; int main () {string name

OpenCV getting started, opencvOpenCV getting started-Key Point description child matching Flann-basedCompared with the preceding descriptor, Flann-based matcher uses a fast approximate Nearest Neighbor Search Algorithm to train the matcher using images before matching, thus speeding up TODO detection ).What is it Flann? FLANN is a library for faster Ming fast approximate nearest neighbor searches in high dimen1_spaces. it contains a collection of algo

The main implementation of this paper is to display grayscale images and color images with matplotlib. Some students in the use of matplotlib display color images, will get undesirable effects, specific reasons and solutions please see below. 1. matplotlib Display grayscale Images Import Cv2 from matplotlib import pyplot as Plt img = cv2.imread (' test.jpg ', 0) plt.imshow (img, cmap = ' gray ') #plt. Xticks ([]), Plt.yticks ([]) #去除横纵坐标 plt.show () 2. Matplotlib Display color image Somet

[OpenCV function] contour extraction; contour drawing; contour area; External rectangle and opencv rectangleFindContours Search for a contour in a binary imageIntCvFindContours(CvArr * image, CvMemStorage * storage, CvSeq ** first_contour,Int header_size = sizeof (CvContour), int mode = CV_RETR_LIST,Int method = CV_CHAIN_APPROX_SIMPLE, CvPoint offset = cvPoint (0, 0 )); Image Input 8-bit, single-channel

(Conversion) OpenCV extracts each frame of the video and then combines consecutive images into a video. opencv extracts Reference blog: http://blog.sina.com.cn/s/blog_60b330b801018s0u.html Running Environment: Win7 OpenCV1.0 VC6.0. The following video generation Code uses the XVID encoder. If no download is required on the computer, otherwise the size of the generated video file is 0. Or you can set cvCreat

Image Fuzzy Judgment code based on opencv and opencv fuzzy judgment code # Include "cv. h "# include" highgui. h "# include

Python-opencv extracts the contour of an image when there is noise, and python-opencv outlines For general image contour extraction, this blog introduces a good method, but for noisy images, the target object cannot be captured well. For example, for my mouse, the extracted contour is not good because of the noise: So this article adds the noise removal part. First load the original image and display the i

1. Random Color The method of taking the random number from the OPENCV, using the steps: 0xFFFFFFFF= rng.uniform (lower limit, upper limit); 2. Display text voidPuttext (mat img,Const string text, point org,intFontface,DoubleFontscale, Scalar color,intthickness=1,intLinetype=8,BOOLbottomleftorigin=false) Img–image.text–textstringTo be drawn.org–bottom-left corner of the textstring inchThe image.font–cvfont structure initiali

Using the Iplimage pointer data type in the old version requires manual allocation and release, which is more cumbersome.This shortcoming is avoided by using the mat data structure directly in the new version.No technical content, no more nonsense, just look at the comments in the code.#include "OpenCv" OpenCv a simple comparison between the original version and the new version (2.4.10)

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

Speed comparison of opencv image traversal methods and comparison of opencv Images Condition: for a single line, the main frequency is 3.4ghz. the image image.jpg is 768x576. // ReadImage. cpp: defines the entry point of the console application. // # Include "stdafx. h "# include We can see that for image traversal of this size, the pointer method is 30 times faster than the method using the iter

Opencv matrix operations (3), opencv matrix operationsIntroduction This article undertakes the previous article and continues to use matrix computing functions under opencv.Specific Code for Matrix Replication printf("mat1:\n"); showMatdate(mat1); mat3 = Mat(3, 3, CV_64FC1); src3 = mat3; cvRepeat(src1, src3); printf("cvRepeat(mat1):\n"); showMatdate(mat3);Result Display Code for ad

Opencv achieves character segmentation for License Plate Recognition, opencv license plateIntroduction In the previous article, we have located the license plate number in the image, copied the license plate number into a new image, and displayed it, this chapter continues to process the captured images. The new screenshot is as follows: Gray-scale image

Opencv solves AX = 0, opencv solves ax When Ax = 0, cvsolve cannot be used to pick up functions. However, you can use the following functions to solve the problem. # Include Cvsolve is used when solving Ax = B and B is not zero vector

enter the full path, including the extension name)voidCimageprodlg::onsaveas () {//TODO: Add Command handler code here if(m_capacity) {CFileDialog dlg (FALSE, NULL, NULL, Ofn_filemustexist| Ofn_pathmustexist |ofn_readonly, TEXT ("supported Types (*.jpg;*.png;*.gif;*.bmp; ...) | *.jpg;*.png;*.gif;*.bmp| Tiff (*.tiff;*.tif) |*.tiff;*.tif| All Files (*. *) |*.*| |"), NULL); Dlg.m_ofn.nFilterIndex=1; Dlg.m_ofn.hwndOwner=m_hwnd; Dlg.m_ofn.lStructSize=sizeof(OPENFILENAME); Dlg.m_ofn.lpstrTitle= TE

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