关于OpenCV3.0 beta 编译出现ORB那边的错误的处理
发布时间：2021-11-19 16:37:34 所属栏目：教程 来源：互联网
导读：好久没碰opencv了，现在已经3.0 beta了。 今天编译遇到了error: cannot declare variable orb to be of abstract type cv::ORB 原因是ORB这个类不能再这么调用了。 在opencv 根目录找到opencvroot/samples/gpu/performance/tests.cpp 修改成如下代码。 TEST(
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好久没碰opencv了，现在已经3.0 beta了。 今天编译遇到了error: cannot declare variable ‘orb’ to be of abstract type ‘cv::ORB 原因是ORB这个类不能再这么调用了。 在opencv 根目录找到opencvroot/samples/gpu/performance/tests.cpp 修改成如下代码。 TEST(ORB) { Mat src = imread(abspath("../data/aloeL.jpg"), IMREAD_GRAYSCALE); if (src.empty()) throw runtime_error("can't open ../data/aloeL.jpg"); //ORB orb(4000); Ptr<ORB> orb = ORB::create(4000,1.2f,8,31,0,2,ORB::HARRIS_SCORE,31,20); vector<KeyPoint> keypoints; Mat descriptors; orb->detectAndCompute(src, Mat(), keypoints, descriptors); //orb(src, Mat(), keypoints, descriptors); CPU_ON; //orb(src, Mat(), keypoints, descriptors); orb->detectAndCompute(src, Mat(), keypoints, descriptors); CPU_OFF; cuda::ORB_CUDA d_orb; cuda::GpuMat d_src(src); cuda::GpuMat d_keypoints; cuda::GpuMat d_descriptors; d_orb(d_src, cuda::GpuMat(), d_keypoints, d_descriptors); CUDA_ON; d_orb(d_src, cuda::GpuMat(), d_keypoints, d_descriptors); CUDA_OFF; } 这里说明原因，我查看了opencv3.0的feature2d.hpp代码发现 class CV_EXPORTS_W ORB : public Feature2D { public: enum { kBytes = 32, HARRIS_SCORE=0, FAST_SCORE=1 }; CV_WRAP static Ptr<ORB> create(int nfeatures=500, float scaleFactor=1.2f, int nlevels=8, int edgeThreshold=31, int firstLevel=0, int WTA_K=2, int scoreType=ORB::HARRIS_SCORE, int patchSize=31, int fastThreshold=20); CV_WRAP virtual void setMaxFeatures(int maxFeatures) = 0; CV_WRAP virtual int getMaxFeatures() const = 0; CV_WRAP virtual void setScaleFactor(double scaleFactor) = 0; CV_WRAP virtual double getScaleFactor() const = 0; CV_WRAP virtual void setNLevels(int nlevels) = 0; CV_WRAP virtual int getNLevels() const = 0; CV_WRAP virtual void setEdgeThreshold(int edgeThreshold) = 0; CV_WRAP virtual int getEdgeThreshold() const = 0; CV_WRAP virtual void setFirstLevel(int firstLevel) = 0; CV_WRAP virtual int getFirstLevel() const = 0; CV_WRAP virtual void setWTA_K(int wta_k) = 0; CV_WRAP virtual int getWTA_K() const = 0; CV_WRAP virtual void setScoreType(int scoreType) = 0; CV_WRAP virtual int getScoreType() const = 0; CV_WRAP virtual void setPatchSize(int patchSize) = 0; CV_WRAP virtual int getPatchSize() const = 0; CV_WRAP virtual void setFastThreshold(int fastThreshold) = 0; CV_WRAP virtual int getFastThreshold() const = 0; }; 没有构造函数，只有一个静态的create。 此外，检测函数也不能用原来的操作符重载的检测函数了。 class ORB_Impl : public ORB { public: explicit ORB_Impl(int _nfeatures, float _scaleFactor, int _nlevels, int _edgeThreshold, int _firstLevel, int _WTA_K, int _scoreType, int _patchSize, int _fastThreshold) : nfeatures(_nfeatures), scaleFactor(_scaleFactor), nlevels(_nlevels), edgeThreshold(_edgeThreshold), firstLevel(_firstLevel), wta_k(_WTA_K), scoreType(_scoreType), patchSize(_patchSize), fastThreshold(_fastThreshold) {} void setMaxFeatures(int maxFeatures) { nfeatures = maxFeatures; } int getMaxFeatures() const { return nfeatures; } void setScaleFactor(double scaleFactor_) { scaleFactor = scaleFactor_; } double getScaleFactor() const { return scaleFactor; } void setNLevels(int nlevels_) { nlevels = nlevels_; } int getNLevels() const { return nlevels; } void setEdgeThreshold(int edgeThreshold_) { edgeThreshold = edgeThreshold_; } int getEdgeThreshold() const { return edgeThreshold; } void setFirstLevel(int firstLevel_) { firstLevel = firstLevel_; } int getFirstLevel() const { return firstLevel; } void setWTA_K(int wta_k_) { wta_k = wta_k_; } int getWTA_K() const { return wta_k; } void setScoreType(int scoreType_) { scoreType = scoreType_; } int getScoreType() const { return scoreType; } void setPatchSize(int patchSize_) { patchSize = patchSize_; } int getPatchSize() const { return patchSize; } void setFastThreshold(int fastThreshold_) { fastThreshold = fastThreshold_; } int getFastThreshold() const { return fastThreshold; } // returns the descriptor size in bytes int descriptorSize() const; // returns the descriptor type int descriptorType() const; // returns the default norm type int defaultNorm() const; // Compute the ORB_Impl features and descriptors on an image <strong>void detectAndCompute( InputArray image, InputArray mask, std::vector<KeyPoint>& keypoints, OutputArray descriptors, bool useProvidedKeypoints=false );</strong> protected: int nfeatures; double scaleFactor; int nlevels; int edgeThreshold; int firstLevel; int wta_k; int scoreType; int patchSize; int fastThreshold; }; 希望有人遇到这样的问题的时候，能够得到解答。 此外还有就是使用最新的cuda6.5的时候一定要在gui的cmake 中 将CUDA_ARCH_BIN 设置为2.0 2.1(2.0) 3.0 3.5 不要带1.1 .1.2 1.3等等之类的，因为cuda6.5不支持这些老显卡了。  （编辑：常州站长网） 【声明】本站内容均来自网络，其相关言论仅代表作者个人观点，不代表本站立场。若无意侵犯到您的权利，请及时与联系站长删除相关内容! |
