OpenCV means Intel® Open Source Computer Vision Library. It is a collection of C Functions and a few C++ classes that implement some popular Image Processing and Computer Vision algorithms.
OpenCV has cross-platform middle-to-high level API that consists of a few hundreds (>300) C Functions. It does not rely on external libraries, though it can use some when it is possible.
OpenCV is free for both non-commercial and commercial use (see the license for details).
OpenCV provides transparent interface to Intel® Integrated Performance Primitives (IPP). That is, it loads automatically IPP libraries optimized for specific processor at runtime, if they are available. More information about IPP can be retrieved at http://www.intel.com/software/products/ipp/index.htm
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本文是opencv的入門教程
tServer task executes Functions at low priority (254). serverSend
funtion is used to send a request to the tServer to execute a
function at the tServer s priority.
First tServer task executes the i() system call to print the summary
of tShell task. Next an address exception is caused in tServer
task by trying to execute a funtion at non-aligned word boundry.
As a result SIGBUS signal is raised automatically. Signals
(setjmp() and longjmp()) are used to allow the tServer task to
recover gracefully from an address error exception. For more
information about signals, please refer to sigLib manual pages.
Two Functions, num2bin and bin2num are provided. num2bin takes a double and converts it to a binary string representation. bin2num is its inverse operation. It can be used in a numerical analysis course when floating point arithmetic is discussed.
來自澳大利亞Qeensland大學的計算機視覺Matlab工具箱。
This Toolbox provides a number of Functions that are useful in computer vision,
machine vision and related areas. It is a somewhat eclectic collection reflecting
the author s personal interest in areas of photometry, photogrammetry, colorimetry. It
covers Functions such as image file reading and writing, filtering, segmentation,
feature extraction, camera calibration, camera exterior orientation, display,
color space conversion and blackbody radiators. The Toolbox, combined
with MATLAB and a modern workstation computer, is a useful and convenient
environment for investigation of machine vision algorithms. It is possible to use
MEX files to interface with image acquisition hardware ranging from simple
framegrabbers to Datacube servers.
LISTVIEW + DATABASE PROGRAMMING Functions IN A NUTSHELL This solution contains a classLibrary project and a WindowsApplication project. The classlibrary project has only one class which has almost all the necessary Functions and subs one may need during programming with a listview.
We often get questions about how the deflate() and inflate() Functions should be used. Users wonder when they should provide more input, when they should use more output, what to do with a Z_BUF_ERROR, how to make sure the process terminates properly, and so on. So for those who have read zlib.h (a few times), and would like further edification, below is an annotated example in C of simple routines to compress and decompress from an input file to an output file using deflate() and inflate() respectively. The annotations are interspersed between lines of the code. So please read between the lines. We hope this helps explain some of the intricacies of zlib.
Zlib函數(shù)列表 We often get questions about how the deflate() and inflate() Functions should be used. Users wonder when they should provide more input, when they should use more output, what to do with a Z_BUF_ERROR, how to make sure the process terminates properly, and so on. So for those who have read zlib.h (a few times), and would like further edification, below is an annotated example in C of simple routines to compress and decompress from an input file to an output file using deflate() and inflate() respectively. The annotations are interspersed between lines of the code. So please read between the lines. We hope this helps explain some of the intricacies of zlib.
