CvPoint3D64f //double类型 原型:typedef structCvPoint2D32f { float x; float y; }CvPoint2D32f; 这个原型跟CvPoint的原理是一样的,只是数据的类型不同而已。 二维浮点型数据: CV_INLINE CvPoint2D32f cvPoint2D32f( double x, double y ) { CvPoint2D32f p; p.x = (float)x; p.y = (float)...
先把opencv源代码贴出来 #defineCV_CN_MAX 512#defineCV_CN_SHIFT 3#defineCV_DEPTH_MAX (1 << CV_CN_SHIFT)#defineCV_8U 0#defineCV_8S 1#defineCV_16U 2#defineCV_16S 3#defineCV_32S 4#defineCV_32F 5#defineCV_64F 6#defineCV_USRTYPE1 7#defineCV_MAT_DEPTH_MASK (CV_DEPTH_MAX - 1)...
Mat: CV_32SC1,CV_32SC2,CV_32SC3,CV_32SC4 32bit浮点数:Float 32bits float -1.18*10-38~3.40*10-38 IplImage: IPL_DEPTH_32F Mat: CV_32FC1,CV_32FC2,CV_32FC3,CV_32FC4 64bit浮点数:Double 64bits double Mat: CV_64FC1,CV_64FC2,CV_64FC3,CV_64FC4 几种类型之间转换 要遵循几...
double scale = 1 double delta = 0 int borderType = BORDER_DEFAULT) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 参数解释: src:原图 ddepth:处理结果图像深度,一般我们都填-1,即与原图深度相同。但在这里我们需要填写cv2.CV_64F。简单来说就是如果填写-1,我们在计算梯度时产生的负数就会被程序默认为0...
Mat cameraMatrix = Mat::eye(3, 3, CV_64F); cameraMatrix.at<double>(0, 0) = 4.450537506243416e+02; cameraMatrix.at<double>(0, 1) = 0.192095145445498; cameraMatrix.at<double>(0, 2) = 3.271489590204837e+02; cameraMatrix.at<double>(1, 1) = 4.473690628394497e+02; ...
Mat E = Mat::eye(4, 4, CV_64F); Mat O = Mat::ones(2, 2, CV_32F); Mat Z = Mat::zeros(3,3, CV_8UC1); 4->用逗号分隔的初始化函数: Mat C = (Mat_<double>(3,3) << 0, -1, 0, -1, 5, -1, 0, -1, 0); ...
uint8_t: CV_8U,,,(又名或或):。int8_t: CV_8Suint16_t: CV_16Uint16_t: CV_16Sint32_t: CV_32Sfloat: CV_32Fdouble: CV_64Fhfloathalffloat16_t__fp16CV_16F (OpenCV 5 中的新功能):(bfloat又名bfloat16_t):CV_16BF,,,。ui...
// 各种字符与数值转换double d=1.234;float f=3.145;int i=314;long l=22;std::cout<<std::to_string(d)<<std::endl;std::cout<<std::to_string(f)<<std::endl;std::cout<<std::to_string(i)<<std::endl;std::cout<<std::to_string(l)<<std::endl;// 从string到数值constchar*str1=...
Neighbor(constfloat*vec,int laplacian,constCvSeq*model_keypoints,constCvSeq*model_descriptors){int length=(int)(model_descriptors->elem_size/sizeof(float));int i,neighbor=-1;double d,dist1=1e6,dist2=1e6;CvSeqReader reader,kreader;cvStartReadSeq(model_keypoints,&kreader,0);cvStartReadSeq(...
(),CV_64FC1);//分离通道vector<Mat>FFT2Channel;split(_srcFFT,FFT2Channel);//计算相位谱for(intr=0;r<phase.rows;r++){for(intc=0;c<phase.cols;c++){//实部、虚部doublereal=FFT2Channel[0].at<double>(r,c);doubleimaginary=FFT2Channel[1].at<double>(r,c);phase.at<double>(r,c)=...