<unknown>错误在detectAndCompute()中发生
<unknown>错误在detectAndCompute()中发生
提问于 2019-03-03 07:52:38
当我在调试器下运行代码时，它显示了一个<unknown>错误：
detector->detectAndCompute( matInput, noArray(), keypoints2, descriptors2 );像这样
`matInput` is from `inputFrame.rgba()` Java代码，在：
public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) 这并不是空的。
这是native-lib.cpp的一部分
std::vector<Mat> trainImages;
std::vector< std::vector<DMatch> > knn_matches;
std::vector<KeyPoint> keypoints1;
std::vector<KeyPoint> keypoints2;
Mat matImg;
static void createKeypointsAndDescriptors(const Mat& matInput) {
int minHessian = 400;
cv::Ptr<SURF> detector = SURF::create( minHessian );
std::vector<KeyPoint> temp_keypoints;
std::vector<std::vector<KeyPoint>> temp_keypoints1;
Mat temp_descriptors;
std::vector<Mat> temp_descriptors1;
Mat descriptors2;
std::vector< std::vector<DMatch> > temp_knn_matches;
for(int i = 0; i < 2; i++) {
detector->detectAndCompute( trainImages[i], noArray(), temp_keypoints, temp_descriptors );
temp_keypoints1.push_back(temp_keypoints);
temp_descriptors1.push_back(temp_descriptors);
}
detector->detectAndCompute( matInput, noArray(), keypoints2, descriptors2 );
Ptr<DescriptorMatcher> matcher = DescriptorMatcher::create(DescriptorMatcher::FLANNBASED);
int max = 0;
for(int i = 0; i < 2; i++) {
if(temp_keypoints[i].size >= 2 && keypoints2.size() >= 2)
matcher->knnMatch( temp_descriptors1[i], descriptors2, temp_knn_matches, 2 );
if(max < temp_knn_matches.size()) {
max = temp_knn_matches.size();
keypoints1 = temp_keypoints1[i];
matImg = trainImages[i];
knn_matches = temp_knn_matches;
}
}
}编辑
这是我的输入图像示例
这是一个与代码相关的图像。我使用asset代码从JNI目录向java发送图像。
extern "C"
JNIEXPORT void JNICALL
Java_com_example_surfwithflann2_MainActivity_sendImages(JNIEnv *env, jobject instance,
jlongArray tempAddrObj_) {
if(trainImages.size() == 0) {
int length = env->GetArrayLength(tempAddrObj_);
jlong *tempAddrObj = env->GetLongArrayElements(tempAddrObj_, NULL);
for(int i = 0; i < length; i++) {
cv::Mat &tempImage = *(cv::Mat *)tempAddrObj[i];
trainImages.push_back(tempImage);
}
env->ReleaseLongArrayElements(tempAddrObj_, tempAddrObj, 0);
} else {
__android_log_print(ANDROID_LOG_DEBUG, "TAG", "already received from java");
}
}回答 1
Stack Overflow用户
回答已采纳
发布于 2019-03-03 08:56:01
若要缩小范围，请尝试将detectAndCompute()拆分为detect()和compute()
#include <stdio.h>
#include <iostream>
#include "opencv2/core.hpp"
#include "opencv2/features2d.hpp"
#include "opencv2/xfeatures2d.hpp"
#include "opencv2/highgui.hpp"
using namespace cv;
using namespace cv::xfeatures2d;
std::vector<cv::KeyPoint> keypoints2;
cv::Mat descriptors2;
static void createKeypointsAndDescriptors(const cv::Mat& matInput) {
//-- Step 1: Detect the keypoints using SURF Detector, compute the descriptors
double minHessian = 400;
Ptr<SURF> detector = SURF::create();
detector->setHessianThreshold(minHessian);
detector->detect(matInput, keypoints2);
detector->compute(matInput, keypoints2, descriptors2);
// detector->detectAndCompute( matInput, noArray(), keypoints2, descriptors2 );
...
}链接：
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/54966701
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