将Magick :: Image转换为cv :: Mat [英] Convert Magick::Image to cv::Mat
问题描述
我正在尝试通过Magick ++将从GIF加载的图像转换为 cv :: Mat
。我已经从 cv :: Mat
转换为 Magick :: Image
但似乎无法找到如何提取数据出于Magick的图像,将其加载到垫子中。最好的方法是什么?
I am trying to convert an image loaded in from a GIF via Magick++ into a cv::Mat
. I have already converted from cv::Mat
to Magick::Image
but cannot seem to find how to pull the data out of an Image in Magick in order to load it into a Mat. What's the best way to do this?
作为参考,反过来:将cv :: Mat转换为Magick ::图片
推荐答案
更新后的答案
我认为这是我能得到的最好的结果!
This is the best I can get it, I think!
#include <opencv2/opencv.hpp>
#include <Magick++.h>
#include <iostream>
using namespace std;
using namespace Magick;
using namespace cv;
int main(int argc,char **argv)
{
// Initialise ImageMagick library
InitializeMagick(*argv);
// Create Magick++ Image object and read image file
Image image("image.gif");
// Get dimensions of Magick++ Image
int w=image.columns();
int h=image.rows();
// Make OpenCV Mat of same size with 8-bit and 3 channels
Mat opencvImage(h,w,CV_8UC3);
// Unpack Magick++ pixels into OpenCV Mat structure
image.write(0,0,w,h,"BGR",Magick::CharPixel,opencvImage.data);
// Save opencvImage
imwrite("result.png",opencvImage);
}
对于我自己将来的参考,其他Magick ++ StorageTypes和我假设的OpenCV等价于括号为:
For my own future reference, the other Magick++ StorageTypes and my assumed OpenCV equivalents in brackets are:
- Magick :: CharPixel(CV_8UC3)
- Magick :: ShortPixel(CV_16UC3)
- Magick :: IntegerPixel(CV_32SC3)
- Magick :: FloatPixel(CV_32FC3)
- Magick :: DoublePixel(CV_64FC3)
- Magick::CharPixel (CV_8UC3)
- Magick::ShortPixel (CV_16UC3)
- Magick::IntegerPixel (CV_32SC3)
- Magick::FloatPixel (CV_32FC3)
- Magick::DoublePixel (CV_64FC3)
上一个答案
这是一项正在进行的工作 - 它可行,但可能不是最佳,因为我仍然在学习自己。
This is a work in progress - it works but may not be optimal as I am still learning myself.
#include <opencv2/opencv.hpp>
#include <Magick++.h>
#include <iostream>
using namespace std;
using namespace Magick;
using namespace cv;
int main(int argc,char **argv)
{
// Initialise ImageMagick library
InitializeMagick(*argv);
// Create Magick++ Image object and read image file
Image image("image.gif");
// Get pointer to the Magick++ pixel data in OpenCV "BGR" format
Magick::PixelData pData(image,"BGR",Magick::CharPixel);
// Get dimensions of the Magick++ image
int w=image.columns();
int h=image.rows();
// Make OpenCV Mat of same size with 8-bit and 3 channels
Mat opencvImage(h,w,CV_8UC3);
// Copy Magick++ data into OpenCV Mat
std::memcpy(opencvImage.data,pData.data(),w*h*3);
// Save opencvImage
imwrite("result.png",opencvImage);
}
实际上,Magick ++能够编写像素缓冲区你已经分配了一些内存,如果我们早点宣布 Mat
,我们可以做。
Actually, Magick++ has the ability to write a buffer of pixels to some memory you have already allocated, which we could do if we declared the Mat
sooner.
看起来像这个:
image.write(const ssize_t x_,
const ssize_t y_,
const size_t columns_,
const size_t rows_,
const std::string &map_,
const StorageType type_, void *pixels_)
目前,我们至少暂时使用双内存,因为我们将像素数据从Magick ++复制到缓冲区,从缓冲区复制到 Mat
,所以我们应该做这样的事情(尚未测试):
At the moment, we are temporarily at least, using double memory because we copy the pixel data out of Magick++ into a buffer and from the buffer into the Mat
, so we should maybe do something like this (not yet tested):
// Create Magick++ Image object and read image file
Image image("image.gif");
// Get dimensions of the Magick++ image
int w=image.columns();
int h=image.rows();
// Make OpenCV Mat of same size with 8-bit and 3 channels
Mat opencvImage(h,w,CV_8UC3);
// Write the Magick++ image data into the Mat structure
image.write(const ssize_t x_, # testing this param
const ssize_t y_, # testing this param
const size_t columns_, # testing this param
const size_t rows_, # testing this param
const std::string &map_, # testing this param
Magick::CharPixel, opencvImage.data);
这篇关于将Magick :: Image转换为cv :: Mat的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!