OPENCV(2) —— Basic Structures(一)
DataType
A primitive OpenCV data type is one of unsigned char, bool,signed char, unsigned short, signed short, int, float, double, or a tuple of values of one of these types, where all the values in the tuple have the same type.
类型的命名格式:
CV_<bit-depth>{U|S|F}C(<number_of_channels>)
A universal OpenCV structure that is able to store a single instance of such a primitive data type is Vec. Multiple instances of such a type can be stored in a std::vector, Mat, Mat_, SparseMat, SparseMat_, or any other container that is able to store Vec instances.
The DataType class is basically used to provide a description of such primitive data types without adding any fields or methods to the corresponding classes 。 The main purpose of this class is to convert compilation-time type information to an OpenCV-compatible data type identifier
// allocates a 30x40 floating-point matrix
Mat A(30, 40, DataType<float>::type); Mat B = Mat_<std::complex<double> >(3, 3);
// the statement below will print 6, 2 /*, that is depth == CV_64F, channels == 2 */
cout << B.depth() << ", " << B.channels() << endl;
Point_
An instance of the class is interchangeable with C structures, CvPoint and CvPoint2D32f . There is also a cast operator to convert point coordinates to the specified type. The conversion from floating-point coordinates to integer coordinates is done by rounding.
For your convenience, the following type aliases are defined:
typedef Point_<int> Point2i;
typedef Point2i Point;
typedef Point_<float> Point2f;
typedef Point_<double> Point2d;Point2f a(0.3f, 0.f), b(0.f, 0.4f);
Point pt = (a + b)*10.f;
cout << pt.x << ", " << pt.y << endl;
Point3_
Template class for 3D points specified by its coordinates
,
and
. An instance of the class is interchangeable with the C structure CvPoint2D32f
typedef Point3_<int> Point3i;
typedef Point3_<float> Point3f;
typedef Point3_<double> Point3d;
Size_
Template class for specifying the size of an image or rectangle. The class includes two members called width andheight. The structure can be converted to and from the old OpenCV structures CvSize and CvSize2D32f .
typedef Size_<int> Size2i;
typedef Size2i Size;
typedef Size_<float> Size2f;
Rect_
Template class for 2D rectangles, described by the following parameters:
- Coordinates of the top-left corner. This is a default interpretation of Rect_::x and Rect_::y in OpenCV. Though, in your algorithms you may count x and y from the bottom-left corner.
- Rectangle width and height.
In addition to the class members, the following operations on rectangles are implemented:
(shifting a rectangle by a certain offset)
(expanding or shrinking a rectangle by a certain amount)
- rect += point, rect -= point, rect += size, rect -= size (augmenting operations)
- rect = rect1 & rect2 (rectangle intersection)
- rect = rect1 | rect2 (minimum area rectangle containing rect2 and rect3 )
- rect &= rect1, rect |= rect1 (and the corresponding augmenting operations)
- rect == rect1, rect != rect1 (rectangle comparison)
RotatedRect
Each rectangle is specified by the center point (mass center), length of each side (represented by cv::Size2f structure) and the rotation angle in degrees.
Mat image(200, 200, CV_8UC3, Scalar(0));
RotatedRect rRect = RotatedRect(Point2f(100,100), Size2f(100,50), 30); Point2f vertices[4];
rRect.points(vertices);
for (int i = 0; i < 4; i++)
line(image, vertices[i], vertices[(i+1)%4], Scalar(0,255,0)); Rect brect = rRect.boundingRect();
rectangle(image, brect, Scalar(255,0,0)); imshow("rectangles", image);
waitKey(0);
TermCriteria
The class defining termination criteria for iterative algorithms. You can initialize it by default constructor and then override any parameters, or the structure may be fully initialized using the advanced variant of the constructor.
终止条件 —— 迭代次数,阈值
TermCriteria::TermCriteria(int type, int maxCount, double epsilon)
Parameters:
- type – The type of termination criteria: TermCriteria::COUNT, TermCriteria::EPS orTermCriteria::COUNT + TermCriteria::EPS.
- maxCount – The maximum number of iterations or elements to compute.
- epsilon – The desired accuracy or change in parameters at which the iterative algorithm stops.
- criteria – Termination criteria in the deprecated CvTermCriteria format.
Matx
If you need a more flexible type, use Mat . The elements of the matrix M are accessible using the M(i,j) notation. Most of the common matrix operations (see also Matrix Expressions ) are available. To do an operation on Matx that is not implemented, you can easily convert the matrix to Mat and backwards.
template<typename _Tp, int m, int n> class Matx {...}; typedef Matx<float, 1, 2> Matx12f;
typedef Matx<double, 1, 2> Matx12d;
...
typedef Matx<float, 1, 6> Matx16f;
typedef Matx<double, 1, 6> Matx16d; typedef Matx<float, 2, 1> Matx21f;
typedef Matx<double, 2, 1> Matx21d;
...
typedef Matx<float, 6, 1> Matx61f;
typedef Matx<double, 6, 1> Matx61d; typedef Matx<float, 2, 2> Matx22f;
typedef Matx<double, 2, 2> Matx22d;
...
typedef Matx<float, 6, 6> Matx66f;
typedef Matx<double, 6, 6> Matx66d;Matx33f m(1, 2, 3,
4, 5, 6,
7, 8, 9);
cout << sum(Mat(m*m.t())) << endl;
Vec
Template class for short numerical vectors, a partial case of Matx:
template<typename _Tp, int n> class Vec : public Matx<_Tp, n, 1> {...}; typedef Vec<uchar, 2> Vec2b;
typedef Vec<uchar, 3> Vec3b;
typedef Vec<uchar, 4> Vec4b; typedef Vec<short, 2> Vec2s;
typedef Vec<short, 3> Vec3s;
typedef Vec<short, 4> Vec4s; typedef Vec<int, 2> Vec2i;
typedef Vec<int, 3> Vec3i;
typedef Vec<int, 4> Vec4i; typedef Vec<float, 2> Vec2f;
typedef Vec<float, 3> Vec3f;
typedef Vec<float, 4> Vec4f;
typedef Vec<float, 6> Vec6f; typedef Vec<double, 2> Vec2d;
typedef Vec<double, 3> Vec3d;
typedef Vec<double, 4> Vec4d;
typedef Vec<double, 6> Vec6d;It is possible to convert Vec<T,2> to/from Point_, Vec<T,3> to/from Point3_ , and Vec<T,4> to CvScalar or Scalar_. Useoperator[] to access the elements of Vec.
All the expected vector operations are also implemented:
- v1 = v2 + v3
- v1 = v2 - v3
- v1 = v2 * scale
- v1 = scale * v2
- v1 = -v2
- v1 += v2 and other augmenting operations
- v1 == v2, v1 != v2
- norm(v1) (euclidean norm)
Scalar_
Template class for a 4-element vector derived from Vec.
Being derived from Vec<_Tp, 4> , Scalar_ and Scalar can be used just as typical 4-element vectors. In addition, they can be converted to/from CvScalar . The type Scalar is widely used in OpenCV to pass pixel values.
四元组
Range
Template class specifying a continuous subsequence (slice) of a sequence.
序列片段
The class is used to specify a row or a column span in a matrix ( Mat ) and for many other purposes. Range(a,b) is basically the same as a:b in Matlab 。Such a half-opened interval is usually denoted as
区间左闭右开
The static method Range::all() returns a special variable that means “the whole sequence” or “the whole range”, just like ” : ”
Ptr
The Ptr<_Tp> class is a template class that wraps pointers of the corresponding type.
This class provides the following options:
The Ptr class treats the wrapped object as a black box. The reference counter is allocated and managed separately. The only thing the pointer class needs to know about the object is how to deallocate it. This knowledge is encapsulated in the Ptr::delete_obj() method that is called when the reference counter becomes 0. If the object is a C++ class instance, no additional coding is needed, because the default implementation of this method calls delete obj;. However, if the object is deallocated in a different way, the specialized method should be created. For example, if you want to wrap FILE, the delete_obj may be implemented as follows:
template<> inline void Ptr<FILE>::delete_obj()
{
fclose(obj); // no need to clear the pointer afterwards,
// it is done externally.
}
... // now use it:
Ptr<FILE> f(fopen("myfile.txt", "r"));
if(f.empty())
throw ...;
fprintf(f, ....);
...
// the file will be closed automatically by the Ptr<FILE> destructor.
OPENCV(2) —— Basic Structures(一)的更多相关文章
- OPENCV(2) —— Basic Structures(二)
Mat OpenCV C++ n-dimensional dense array class The class Mat represents an n-dimensional dense numer ...
- OpenCV中的结构体、类与Emgu.CV的对应表
OpenCv中的 C 结构 OpenCV中的 C++ 封装 Emgu.CV中的 C# 封装 OpenCV 和 Emgu.CV 中的结构罗列 谢谢阅读,有误希望指正 原文地址 Basic Structu ...
- 【转】Installing OpenCV on Debian Linux
In this post I will describe the process of installing OpenCV(both versions 2.4.2 and 2.4.3) on Debi ...
- 剑指offer:大恒图像
大恒图像:成立于1991年,专注于视觉部件.视觉系统及互联网医疗相关产品研发.生产和营销的高科技企业. 旗下产品信息: 1.图像采集卡 摄像机等输入的模拟图像信号经过A/D转换,或将数字摄像机的输出信 ...
- C/C++ 开源库及示例代码
C/C++ 开源库及示例代码 Table of Contents 说明 1 综合性的库 2 数据结构 & 算法 2.1 容器 2.1.1 标准容器 2.1.2 Lockfree 的容器 2.1 ...
- Inside of Jemalloc
INSIDE OF JEMALLOCThe Algorithm and Implementation of Jemalloc author: vector03mail: mmzsmm@163.co ...
- net programming guid
Beej's Guide to Network Programming Using Internet Sockets Brian "Beej Jorgensen" Hallbeej ...
- 通过一篇YAML来学习YAML
yaml 兼容 json,至今已发展至 1.2版.支持N多种编程语言.官网:http://www.yaml.org/ 格式在线校验:http://nodeca.github.io/js-yaml/ 下 ...
- ARTIFICIAL INTELLIGENCE FOR GAMES (Ian Millington / John Funge 著)
相关网站:http://www.ai4g.com PART I AI AND GAMESCHAPTER1 INTRODUCTIONCHAPTER2 GAME AIPART II TECHNIQUESC ...
随机推荐
- python基础9 (迭代器、生成器)
1.可迭代对象 迭代:将某个数据集内的数据“一个挨着一个的取出来” 可迭代协议:可以被迭代要满足的要求,即内部含有__iter__()方法 可迭代的类型:字符串.列表.元组.字典.集合特点:惰性运算 ...
- Swift编写的一些完整的app
收集了一些实用swift编写的app,这些demo都是不错的值得学习的. 知乎日报 Swift-ZhihuDaily Swift版知乎日报 参照了YANGReal的糗事百科和uitableview的例 ...
- linux搜索文件过程
1.文件里的数据是放在磁盘的数据区中的,而一个文件名称则是通过相应的i节点与这些磁盘块联系起来.这些盘块的号码就存放在i节点的逻辑块数组i_zone[]中.在文件系统的一个文件夹中,当中全部文件名称信 ...
- elasticsearch中的几个概念总结
1.Geo spatial search : 地理空间搜索,可以在搜索查询中指定的某一距离内查找所要的内容.也可以返回以当前为圆心,逐渐添加圆的半径.直到找到所匹配到的内容. 參考:http://ww ...
- opecv2 MeanShift 使用均值漂移算法查找物体
#if !defined OFINDER #define OFINDER #include <opencv2\core\core.hpp> #include <opencv2\img ...
- android JNI 一维数组、二维数组的访问与使用
在JNI中访问JAVA类中的整型.浮点型.字符型的数据比较简单,举一个简单的例子,如下: //得到类名 jclass cls = (*env)->GetObjectClass(env, obj) ...
- github README.md教程
github README.md教程 总结 github中README.md通过特殊字符标记和缩进来达到格式控制,也可以用HTML标签来实现格式控制. 教程一: Markdown 的目标是实现「易读易 ...
- 45.angular路由设置
转自:https://www.cnblogs.com/best/tag/Angular/ AngularJS 路由也可以通过不同的模板来实现. $routeProvider.when 函数的第一个参数 ...
- 项目中log4j的使用
基于ssm项目: 1.导入log4j.slf4j相关jar包 commons-logging-1.1.3.jar.log4j-1.2.12.jar.slf4j-api-1.6.6.jar.slf4j- ...
- 机器学习(四) 机器学习(四) 分类算法--K近邻算法 KNN (下)
六.网格搜索与 K 邻近算法中更多的超参数 七.数据归一化 Feature Scaling 解决方案:将所有的数据映射到同一尺度 八.scikit-learn 中的 Scaler preprocess ...
,
and
. An instance of the class is interchangeable with the C structure CvPoint2D32f
(shifting a rectangle by a certain offset)
(expanding or shrinking a rectangle by a certain amount)
区间左闭右开