In C++, create a cv::Mat from a vector<float> data
To create a cv::Mat
from a std::vector<float>
in C++, you can use the OpenCV library. The cv::Mat
class is a fundamental data structure in OpenCV used to store image data, and it can be constructed from various data sources, including std::vector
.
Here's a step-by-step example of how to create a cv::Mat
from a std::vector<float>
:
std::vector<float>
with your data.cv::Mat
using the data from the vector.Below is a complete example:
#include <iostream>
#include <vector>
#include <opencv2/opencv.hpp>
int main() {
// Step 1: Include the necessary headers
// (Already done above)
// Step 2: Define the std::vector<float> with your data
std::vector<float> data = {
1.0f, 2.0f, 3.0f,
4.0f, 5.0f, 6.0f,
7.0f, 8.0f, 9.0f
};
// Step 3: Create the cv::Mat using the data from the vector
// Define the dimensions of the matrix
int rows = 3;
int cols = 3;
// Create the cv::Mat from the vector
cv::Mat mat(rows, cols, CV_32F, data.data());
// Print the matrix to verify
std::cout << "Matrix created from vector<float>:" << std::endl;
std::cout << mat << std::endl;
return 0;
}
std::vector<float>
named data
is defined and initialized with some values.rows
and cols
) are specified.cv::Mat
is created using the constructor that takes the number of rows, columns, type (CV_32F
for a 32-bit float), and a pointer to the data (data.data()
).data.data()
function returns a pointer to the underlying array of the vector, which is used by cv::Mat
to access the data.cv::Mat
created this way does not copy the data; it uses the data directly from the vector. If the vector goes out of scope or is modified, the cv::Mat
will be affected. If you need a deep copy, you can use the clone()
method of cv::Mat
.cv::Mat matCopy = mat.clone();
This example demonstrates how to create a cv::Mat
from a std::vector<float>
in C++. Adjust the dimensions and data as needed for your specific use case.