[英]Cropping an triangle from captured frame - OpenCV and C++
I have a video file from which I'm capturing a frames. 我有一个视频文件,正在从中捕获帧。 I want to crop a triangle from captured frame and display it, but my program shows just a source frame.
我想从捕获的帧中裁剪一个三角形并显示它,但是我的程序仅显示一个源帧。
Here is my code: 这是我的代码:
cv::Mat Detector::cropRegionOfInterest(cv::Mat& frame)
{
cv::Point corners[1][3];
corners[0][0] = cv::Point(0, frameHeight);
corners[0][1] = cv::Point(frameWidth, frameHeight);
corners[0][2] = cv::Point(frameWidth / 2, frameHeight / 2);
const cv::Point* cornerList[1] = { corners[0] };
int numPoints = 3;
int numPolygons = 1;
cv::Mat mask(frame.size(), CV_8UC1, cv::Scalar(0, 0, 0));
cv::fillPoly(mask, cornerList, &numPoints, numPolygons, cv::Scalar(255, 255, 255), 8);
cv::Mat result(frame.size(), CV_8UC3);
cv::bitwise_and(frame, mask, result);
return result;
}
Instead of displaying source frame I want it to display cropped triangle. 我希望它不显示源框架,而是显示裁剪的三角形。
Since you're using CV_8UC3
as the type of result
, I'm assuming (see the Edit at the end of the answer if that's not the case) that the input image frame
also has 3
channels. 由于您使用
CV_8UC3
作为result
类型, result
我假设(如果不是result
,请参见答案末尾的Edit)输入图像frame
也具有3
通道。 In that case, I'm a bit surprised that you can even see the non-cropped image, as running your code simply throws an exception on my machine at the call to bitwise_and
: 在那种情况下,您甚至可以看到未裁剪的图像,让我有些惊讶,因为运行代码只是在调用
bitwise_and
在我的计算机上引发异常:
OpenCV(3.4.1) Error: Sizes of input arguments do not match
From the documentation , it seems to me that you can't mix different input and mask types. 根据文档 ,在我看来您不能混合使用不同的输入和掩码类型。 A quick and dirty solution is to split the input image into a vector of three channels, call
bitwise_and
for each of them, and then merge them back. 一种快速而肮脏的解决方案是将输入图像分成三个通道的向量,
bitwise_and
对每个通道调用bitwise_and
,然后将它们合并回去。 The code below works for me: 以下代码对我有用:
#include <stdio.h>
#include <opencv2/opencv.hpp>
using namespace cv;
cv::Mat cropRegionOfInterest(cv::Mat& frame)
{
const int frameWidth=frame.cols-1;
const int frameHeight=frame.rows-1;
cv::Point corners[1][3];
corners[0][0] = cv::Point(0, frameHeight);
corners[0][1] = cv::Point(frameWidth, frameHeight);
corners[0][2] = cv::Point(frameWidth / 2, frameHeight / 2);
const cv::Point* cornerList[1] = { corners[0] };
int numPoints = 3;
int numPolygons = 1;
cv::Mat mask(frame.rows,frame.cols, CV_8UC1, cv::Scalar(0, 0, 0));
cv::fillPoly(mask, cornerList, &numPoints, numPolygons, cv::Scalar(255, 255, 255), 8);
std::vector<cv::Mat> src_channels;
std::vector<cv::Mat> result_channels;
cv::split(frame,src_channels);
for(int idx=0;idx<3;++idx)
{
result_channels.emplace_back(frame.rows,frame.cols,CV_8UC1);
cv::bitwise_and(src_channels[idx], mask,result_channels[idx]);
}
cv::Mat result;
cv::merge(result_channels,result);
return result;
}
int main(int argc, char** argv )
{
if ( argc != 2 )
{
printf("usage: DisplayImage.out <Image_Path>\n");
return -1;
}
Mat image;
image = imread( argv[1], 1 );
if ( !image.data )
{
printf("No image data \n");
return -1;
}
cv::Mat cropped=cropRegionOfInterest(image);
namedWindow("cropped Image", WINDOW_AUTOSIZE );
imshow("cropped Image", cropped);
waitKey(0);
return 0;
}
Edit: From your comments it seems that frame
is actually grayscale. 编辑:从您的评论看来,
frame
实际上是灰度的。 In that case, nevermind all the code above, and just change cv::Mat result(frame.size(), CV_8UC3);
在那种情况下,
cv::Mat result(frame.size(), CV_8UC3);
上面的所有代码,而只需更改cv::Mat result(frame.size(), CV_8UC3);
to 至
cv::Mat result(frame.rows,frame.cols,CV_8UC1);
in your original code. 在您的原始代码中。
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