我发现OpenCV内存管理非常混乱。我读了这里的文档http://opencv.itseez.com/modules/core/doc/intro.html#automatic-memory-management,但我真的不认为它提供了足够的信息来完全理解它。
例如,考虑以下代码片段
Mat_<float> a,b,c;
a = b; // The header of b is copied into a and they share the data
b = c; // Now b refers to c and a != b
b = a + 1; // b still shares data with c and s.t. b = c;这有什么意义吗?有人能解释一下它背后的想法吗?
发布于 2011-10-28 00:17:59
您需要与声明矩阵a、b和c分开分配内存。
cv::Mat b(10, 10, CV8U_C1); //this allocates 10 rows and 10 columns of 8 bit data to matrix b
cv::Mat a; //This defines a matrix with an empty header. You *cannot* yet assign data to it - trying to do so will give a segmentation fault
a = b; //matrix a is now equal to matrix b. The underlying data (a pointer to 10 x 10 uints) is shared by both so it is a shallow copy (and thus very efficient). However modifying the data in martix a will now modify the data in matrix b
cv::Mat c(10, 10, CV8U_C1);
b = c; //This will change matrix b to point to the newly allocated data in matrix c. Matrix a now has the sole access to its data as matrix b no longer shares it. Matrix b and c share the same data;
b = a + 1 //This statement makes no sense. Even if it is valid you should never use it - it is completely unclear what it does发布于 2011-10-28 13:42:41
要对该问题有一个大致的理解,您必须阅读有关智能指针http://en.wikipedia.org/wiki/Smart_pointer的一些理论。
OpenCV中的许多对象,包括Mat,都是作为智能指针实现的。
https://stackoverflow.com/questions/7918332
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