opencv programming

This article is reproduced from OpenCV python tutorial (1, image loading, display and save) author DaetalusThis is the first OPENCV 2 computer Vision Application Programming Cookbook reading notes. The code for each chapter will be rewritten in the notes in the Python language.The configuration of the PYTHONOPENCV is not introduced here.Note that the

don't know how to use the reserve function to open up. This statement runs for about 100 ms. Let's look at this code again today and find that I am too stupid. Why should we use vector Mat test1 = mat _ The result only takes 0.2 ms !!! Comrades, STL seems so powerless in front of mat! I decided to spend a few days reading the core of the reference to thoroughly understand the opencv data structure. We also feel that mat is compatible with STL, an

The story of face recognition can't be told. Let's leave the investigation to everyone. Here we are talking about face recognition with opencv. Because it is real face recognition and not funny entertainment, the database must be powerful. We recommend a website http://www.face-rec.org/databases /. Here is an overview of the most comprehensive face database. I hope you can find the desired face Library (PS: I need a 3D face library, but I don't know w

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

Before you write it.Since last year, I began to focus on Python software, interrupted and learned some things about python on the way, feeling that Python is really a simple and graceful, easy-to-Learn scripting language, many third-party libraries make python exceptionally powerful, can handle many different problems, At the same time, many of its open source free libraries make Python's use very extensive. In the field of scientific computing, data processing and image, I have been using MATLA

Ubuontu16.04 process and use find_package () error messages caused by installing Opencv library, ubuontu16.04opencv After installing the Opencv library, test whether the Opencv library is successfully installed. The following example shows the corresponding. cpp code and the corresponding cmakelists.txt code: . Cpp file: 1 #include CMakeLists.txt file: 1 cmake_

First, the operation requirements:Implemented using MATLAB or OPENCV+C programming. Each inscribed topic, gives the test procedure Code, the experiment result picture naming distinguishes and makes the effect comparison, finally the experiment summarizes the image processing method which each question contains the effect as well as the application situation and so on.The use of MATLAB

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

\opencv\build\include\opencv C:\OpenCV2.4.2\opencv\build\include\opencv2 (depending on the personal installation OpenCV path) 4. New Project 5, configure the project need lib. On the menu bar, select: Project-Project Properties-Configuration Properties-linker-input (link library required for the project) Opencv_calib3d

Original posts: http://blog.sina.com.cn/s/blog_698415f20100y7ip.html Introduced This article is a OPENCV visual library that uses computers on iOS. OpenCV is released under the BSD license, so both learning and business are free. It includes an optimized implementation of all the standard algorithms used in the field of computer vision today, and has a huge user base spanning the world of Linux,windows,

libavformat-dev libswscale-dev libdc1394-22-dev libxine-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libv4l-dev (4) install Python Sudo apt-Get install Python-dev Python-numpy (5) install a third-party library. TBB is the library required to enable opencv to support parallel programming. Sudo apt-Get install libtbb-Dev Step 2: After configuring the preceding dependencies, we are ready to co

Source code: http://download.csdn.net/detail/nuptboyzhb/3961698 Alpha Fusion menu item 1. Add the Alpha Fusion menu item, modify the corresponding properties, create a Class Wizard, and edit the message processing function. 2. Add the following

I've compiled a blog post about OpenCV's study notes, principle analysis, use routines, and more. Sort in no particular order, randomly sorted out. If you have good resources, you are welcome to introduce and share them.1:OPENCV Study NotesCSDNQuantity: 55 Blog postsWebsite: http://blog.csdn.NET/column/details/opencv-manual.html2: Functional Interpretation and principle interpretation of partial OpenCVDream

[OpenCV Getting Started Guide] Article 7 Line Segment Detection and Circle Detection The Section 5 contour detection in [OpenCV Getting Started Guide] and section 6 contour detection in [OpenCV Getting Started Guide] Explain the contour detection of OpenCV. This article describes how to use Line Segment Detection and C

Platform SDK (or DirectX SDK 8.0 to 9.0c/DirectX Media SDK prior to 6.0. Next, let's take a look at the application of OpenCV in Python programming. Let's take a look at simple Meteorological Computing and use the opencv library in python to write a script to calculate the image reflectivity of batch processing ~ The core step is remote sensing image spectral ra