我正在尝试使用catkin build构建ROS软件包。 该软件包是与OpenCV2一起运行的,因此我从源代码安装了OpenCV 2.4.9。
运行catkin build时遇到一些错误。情况如下:
首先,我更改了CMakeLists.txt,以便它可以找到正确版本的OpenCV。
然后,我添加了#include <vector>
,并将vector
文件中std::vector
的每个出现都更改为opencv2/nonfree/features2d.hpp
,因为我得到了错误,即未声明vector并且错误消失了。
我得到的另一个错误是:
In file included from /usr/local/include/opencv2/nonfree/nonfree.hpp:46:0,
from /home/vm/catkin_ws/src/ogm_merging/ogm_evaluation/feature_evaluation/include/feature_evaluation/feature_evaluation_metrics/feature_metrics.h:29:
from /home/vm/catkin_ws/src/ogm_merging/ogm_evaluation/feature_evaluation/src/feature_evaluation/feature_evaluation_metrics/feature_metrics.cpp:19:
/usr/local/include/opencv2/nonfree/features2d.hpp:133:5:
error: ‘AlgorithmInfo’ does not name a type
AlgorithmInfo* info() const;
^
nonfree / features2d.hpp如下:
#ifndef __OPENCV_NONFREE_FEATURES_2D_HPP__
#define __OPENCV_NONFREE_FEATURES_2D_HPP__
#include "opencv2/features2d/features2d.hpp"
#ifdef __cplusplus
namespace cv
{
/*!
SIFT implementation.
The class implements SIFT algorithm by D. Lowe.
*/
class CV_EXPORTS_W SIFT : public Feature2D
{
public:
CV_WRAP explicit SIFT( int nfeatures=0, int nOctaveLayers=3,
double contrastThreshold=0.04, double edgeThreshold=10,
double sigma=1.6);
//! returns the descriptor size in floats (128)
CV_WRAP int descriptorSize() const;
//! returns the descriptor type
CV_WRAP int descriptorType() const;
//! finds the keypoints using SIFT algorithm
void operator()(InputArray img, InputArray mask,
std::vector<KeyPoint>& keypoints) const;
//! finds the keypoints and computes descriptors for them using SIFT algorithm.
//! Optionally it can compute descriptors for the user-provided keypoints
void operator()(InputArray img, InputArray mask,
std::vector<KeyPoint>& keypoints,
OutputArray descriptors,
bool useProvidedKeypoints=false) const;
AlgorithmInfo* info() const;
void buildGaussianPyramid( const Mat& base, std::vector<Mat>& pyr, int nOctaves ) const;
void buildDoGPyramid( const std::vector<Mat>& pyr, std::vector<Mat>& dogpyr ) const;
void findScaleSpaceExtrema( const std::vector<Mat>& gauss_pyr, const std::vector<Mat>& dog_pyr,
std::vector<KeyPoint>& keypoints ) const;
protected:
void detectImpl( const Mat& image, std::vector<KeyPoint>& keypoints, const Mat& mask=Mat() ) const;
void computeImpl( const Mat& image, std::vector<KeyPoint>& keypoints, Mat& descriptors ) const;
CV_PROP_RW int nfeatures;
CV_PROP_RW int nOctaveLayers;
CV_PROP_RW double contrastThreshold;
CV_PROP_RW double edgeThreshold;
CV_PROP_RW double sigma;
};
typedef SIFT SiftFeatureDetector;
typedef SIFT SiftDescriptorExtractor;
} /* namespace cv */
#endif /* __cplusplus */
#endif
我不想更改为OpenCV 3并添加额外的模块,正如这里的许多人所说,我想使用OpenCV2来运行此程序。
我尝试包含诸如features2d / features2d.hpp的core / core.hpp之类的文件,但没有任何变化。
AlgorithmInfo
类在哪里定义,以便我可以使用它?
我正在使用Ubuntu 16.04和ROS Kinetic。
更新:它可与Ubuntu 14.04,ROS Indigo和Opencv 2.4一起使用,因此问题必须与ROS或Ubuntu版本有关。有任何想法吗?
谢谢。
答案 0 :(得分:1)
ROS和OpenCV通过opencv_bridge
一起工作。我不确定这是否可以解决您的第一个问题,但是您似乎没有使用opencv_bridge
来解决至少一些问题。