我正在编写代码以在camerapreview中从drawable中找到类似的对象。我使用的是最新的Opencv 2.4.4。
下面是我的函数和logcat的输出。我得到这样的输出我做错了什么?
public void detect_image (Mat mRgba) {
object_desc = new Mat();
scene_desc = new Mat();
object_keys = new MatOfKeyPoint();
scene_keys = new MatOfKeyPoint();
matches = new MatOfDMatch();
good_matches = new MatOfDMatch();
Bitmap image = BitmapFactory.decodeResource(getResources(), R.drawable.sto);
Utils.bitmapToMat(image,object);
surf = FeatureDetector.create(FeatureDetector.FAST);
surf.detect( object, object_keys );
surf.detect( mRgba, scene_keys);
surfEX = DescriptorExtractor.create(DescriptorExtractor.BRIEF);
surfEX.compute(object, object_keys, object_desc);
surfEX.compute(mRgba, scene_keys, scene_desc);
dm = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE_SL2);
dm.match(object_desc, scene_desc, matches);
double max_dist = 0;
double min_dist = 100;
for( int i = 0; i < object_desc.rows(); i++ )
{ double dist = matches.toArray()[i].distance;
if( dist < min_dist ) min_dist = dist;
if( dist > max_dist ) max_dist = dist;
}
for( int i = 0; i < object_desc.rows(); i++ )
{ MatOfDMatch temp = new MatOfDMatch();
if( matches.toArray()[i].distance < 3*min_dist )
{ temp.fromArray(matches.toArray()[i]);
good_matches.push_back(temp);
}
}
}
public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
mRgba = inputFrame.rgba();
detect_image(mRgba);
return inputFrame.rgba();
}
logcat的:
03-27 01:55:31.258: E/cv::error()(564): OpenCV Error: Assertion failed
(type == src2.type() && src1.cols == src2.cols &&
(type == CV_32F || type == CV_8U)) in void cv::batchDistance(cv::InputArray,
cv::InputArray, cv::OutputArray, int, cv::OutputArray, int, int, cv::InputArray,
int, bool), file /home/reports/ci/slave/50-SDK/opencv/modules/core/src/stat.cpp,
line 1803
答案 0 :(得分:20)
只是为了结束这个问题:
根据您的评论,以下行导致了问题:
dm.match(object_desc, scene_desc, matches);
我建议你手动验证:
(object_desc.type == scene_desc.type &&
object_desc.cols == object_scene.cols)
问题最终是第一帧object_desc.cols() != scene_desc.cols()
。一个简单的if
足以解决问题。
答案 1 :(得分:0)
(打开Cv Mat没有类型方法)尝试此方法..
public void match(Mat object_desc, Mat scene_desc, MatOfDMatch matches)
{
if(object_desc.type() == scene_desc.type() &&
object_desc.cols() == scene_desc.cols()) {
match_1(nativeObj, object_desc.nativeObj, scene_desc.nativeObj, matches.nativeObj);
}
}