我正在尝试将图像与Android中的相机输入进行匹配。当我尝试使用2张图像时,一切正常。但现在我喜欢用相机输入做同样的事情。为了完成这项工作,我实现了CvCameraViewListener2并尝试了以下代码:
@Override
public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
mRgba = inputFrame.rgba();
int match_method = Imgproc.TM_CCOEFF;
mSizeRgba = mRgba.size();
int rows = (int) mSizeRgba.height;
int cols = (int) mSizeRgba.width;
Mat templ = Highgui.imread(getFileAbsPath("template.jpg"));
// Create the result matrix
int result_cols = cols - templ.cols() + 1;
int result_rows = rows - templ.rows() + 1;
Mat result = new Mat(result_rows, result_cols, CvType.CV_32F);
Mat src = new Mat(result_rows, result_cols, CvType.CV_32F);
mRgba.convertTo(src, CvType.CV_32F);
Mat template = new Mat(templ.rows(), templ.cols(), CvType.CV_32F);
templ.convertTo(template, CvType.CV_32F);
// Do the Matching and Normalize
Imgproc.matchTemplate(src, templ, result, match_method);
Core.normalize(result, result, 0, 1, Core.NORM_MINMAX, -1, new Mat());
// Localizing the best match with minMaxLoc
MinMaxLocResult mmr = Core.minMaxLoc(result);
Point matchLoc;
if (match_method == Imgproc.TM_SQDIFF
|| match_method == Imgproc.TM_SQDIFF_NORMED) {
matchLoc = mmr.minLoc;
} else {
matchLoc = mmr.maxLoc;
}
Rect roi = new Rect((int) matchLoc.x, (int) matchLoc.y, templ.cols(),
templ.rows());
// Mat cropped = new Mat(mRgba, roi);
Core.rectangle(result, new Point(roi.x, roi.y), new Point(roi.width - 2, roi.height - 2), new Scalar(255, 0, 0, 255), 2);
return mRgba;
}
当我运行此代码时,我收到此OpenCV错误:
OpenCV Error: Assertion failed ((img.depth() == CV_8U || img.depth() == CV_32F)
&& img.type() == templ.type()) in ...
任何人都可以帮我解决这个问题吗?
由于
答案 0 :(得分:2)
我解决了我的问题。我需要将模板的颜色从BGR转换为RGBA。 使用以下代码我不再崩溃,但预览中的相机帧非常慢。这不是我想要的。
public void initialize(){
if (src.empty())
return;
if(template == null){
Mat templ = Highgui.imread(getFileAbsPath("template.png"), Highgui.CV_LOAD_IMAGE_UNCHANGED);
template = new Mat(templ.size(), CvType.CV_32F);
Imgproc.cvtColor(templ, template, Imgproc.COLOR_BGR2RGBA);
}
}
@Override
public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
src = inputFrame.rgba();
initialize();
int match_method = Imgproc.TM_SQDIFF;
// Create the result matrix
int result_cols = src.cols() - template.cols() + 1;
int result_rows = src.rows() - template.rows() + 1;
Mat result = new Mat(result_rows, result_cols, CvType.CV_32F);
// Do the Matching and Normalize
Imgproc.matchTemplate(src, template, result, match_method);
Core.normalize(result, result, 0, 1, Core.NORM_MINMAX, -1, new Mat());
// Localizing the best match with minMaxLoc
MinMaxLocResult mmr = Core.minMaxLoc(result);
Point matchLoc;
if (match_method == Imgproc.TM_SQDIFF || match_method == Imgproc.TM_SQDIFF_NORMED) {
matchLoc = mmr.minLoc;
} else {
matchLoc = mmr.maxLoc;
}
Rect roi = new Rect((int) matchLoc.x, (int) matchLoc.y, template.cols(), template.rows());
Core.rectangle(src, new Point(roi.x, roi.y), new Point(roi.width - 2, roi.height - 2), new Scalar(255, 0, 0, 255), 2);
return src;
}
答案 1 :(得分:1)
错误表明模板和src在通道和大小方面不兼容。
// Do the Matching and Normalize
Imgproc.matchTemplate(src, templ, result, match_method);
你确定它应该是temp1
吗?您似乎执行了大量转换为template