path iv.2.1 now need to tell the QT library where the files are installed. Open the. Pro file and add the following path:Includepath + =.Includepath + =/usr/local/includeIncludepath + =/usr/local/include/opencvIncludepath + =/usr/local/include/opencv2Includepath + =/usr/local/include/opencv2/coreIncludepath + =/usr/local/include/opencv2/highguiIncludepath + =/usr/local/include/opencv2/imgprocIncludepath + =/usr/local/include/opencv2/flannIncludepath + =/usr/local/include/opencv2/photoIncludepat
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 training of XML file and the reali
(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
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
Seed-dim3517 QT opencv cross-compiling embedded
Opencv transplantation Method: http://blog.csdn.net/b5w2p0/article/details/8976665
I used cmake and eventually succeeded. I copied the so file generated in the path to the/lib file of the Development Board.
Before that, you may also need to port ffmpge: http://blog.csdn.net/b5w2p0/article/details/38455071
When you encounter problems, read more articles and try
-version.cmakeTwo files, then CMake will follow it to determine the correct build platform and mode, so that vs can be like GCC and so can be used to build CMake project files!* Do not add cmake_prefix_path variable sometimes can also work, just sometimes can not, specifically unclear why* Of course, you will have to include the CMake Bin directory in path so you can use the CMake command directlyThe OpenCV
camera is measured in 8-9, which is 9-10, since that is the dynamic measurement.Then you can only set FPS, try will not hang.And the time added to the text. Time is well implemented, C # has corresponding functions. But OPENCV is not supported by adding Chinese strings, emgu so is not supported. With Aforge. NET is a time to go. OpenCV someone is installed font to achieve, look good complex.As for many peo
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 descriptor matcher. for each descriptor in the first s
It is only one month before 2.4.0 is released. On Children's Day, 2.4.1 was released .... I really can't keep up with the pace. It's a long journey ....
The major change was the bug revision. A friend told me earlier that he could not configure Cuda in version 2.3.1. Later he succeeded in version 2.2, it seems that there are still a lot of new version bugs, and we cannot blindly seek new versions. This 2.4.1 version is updated as follows:
The GPU module supports cuda4.1 and cuda4.2 versions, a
RTST stream: Using VLC as the RTSP server
vlc2.1.2
vs2013+opencv3.0
C++
1, compile to remember to import VLC Vlc.dll, Vlccore.dll and Plugins folder, these can be downloaded from VLC official website after installation import
2, need to configure the OPENCV in VS2013
#include
Resources:
VLC to do client-side solution for RTSP bitstream
http://blog.csdn.net/q339659207/article/details/38303831
Read MMS Stream for open CV
Http://stackoverflow.co
The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion;
products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the
content of the page makes you feel confusing, please write us an email, we will handle the problem
within 5 days after receiving your email.
If you find any instances of plagiarism from the community, please send an email to:
info-contact@alibabacloud.com
and provide relevant evidence. A staff member will contact you within 5 working days.