m1type: map1 的数据类型,通常为 cv2.CV_16SC2 或cv2.CV_32FC1。 map1: 输出的第一个映射矩阵,类型为 m1type。 map2: 输出的第二个映射矩阵,对于 m1type = cv2.CV_16SC2,map2 的类型为 cv2.CV_16UC1;对于 m1type = cv2.CV_32FC1,map2 与map1 同类型。 3. cv2.fisheye.initUndistortRectif...
importcv2importnumpyasnp# 读取鱼眼图像img=cv2.imread('fisheye.jpg')# 定义相机内参和畸变系数K=np.array([[300,0,320],[0,300,240],[0,0,1]])D=np.array([-0.2,0.1,0,0])# 畸变系数# 图像大小h,w=img.shape[:2]# 球面到标准矩形映射new_K=cv2.fisheye.estimateNewCameraMatrixForUndistortRec...
第六个参数m1type,定义map1的数据类型,可以是CV_32FC1或者CV_16SC2; 第七个参数map1和 第八个参数map2,输出的X/Y坐标重映射参数; remap函数原型: [cpp] view plain copy 在CODE上查看代码片派生到我的代码片 //! warps the image using the precomputed maps. The maps are stored in either floating-...
此帧被传递给方法cv2.remap(leftFrame, map1, map2, cv2.INTER_LANCZ0S4,0),以便将原始图像(leftFrame)中的每个像素重新分配到新位置。由于map1和map2是从cv2.initUndistortRectifyMap(MLS, dLS, RL, PL,imgShape,cv2.CV_16SC2)输出的,因此之前已经计算过MLS、dLS、事情做得很好, 但是,现在我只想获得...
CV_16SC2 := OpenCV.MAKETYPE(OpenCV.CV_16S, 2) Static CV_16SC3 := OpenCV.MAKETYPE(OpenCV.CV_16S, 3) Static CV_16SC4 := OpenCV.MAKETYPE(OpenCV.CV_16S, 4) Static CV_32SC1 := OpenCV.MAKETYPE(OpenCV.CV_32S, 1) Static CV_32SC2 := OpenCV.MAKETYPE(OpenCV.CV_32S, 2) Static CV_32...
CV_16SC2) map2x, map2y = cv2.initUndistortRectifyMap(K, d, lH, K, imsize, cv.CV_16SC2) rimg1 = cv2.remap(img1, map1x, map1y, interpolation=cv.INTER_NEAREST, borderMode=cv2.BORDER_CONSTANT, borderValue=(0, 0, 0, 0)) rimg2 = cv2.remap(img2, map2x, map2y, ...
.CV_16S, 1) Static CV_16SC2 := OpenCV.MAKETYPE(OpenCV.CV_16S, 2) Static CV_16SC3 := OpenCV.MAKETYPE(OpenCV.CV_16S, 3) Static CV_16SC4 := OpenCV.MAKETYPE(OpenCV.CV_16S, 4) Static CV_32SC1 := OpenCV.MAKETYPE(OpenCV.CV_32S, 1) Static CV_32SC2 := OpenCV.MAKETYPE(OpenCV.CV_...
OpenCV中cv2的用法 一、读入图像 使用函数cv2.imread(filepath,flags)读入一副图片 filepath:要读入图片的完整路径 flags:读入图片的标志 cv2.IMREAD_COLOR:默认参数,读入一副彩色图片,忽略alpha通道 cv2.IMREAD_GRAYSC
getOptimalNewCameraMatrix(cam_mtx, cam_dist, imageSize, 1, imageSize, 1) # getOptimalNewCameraMatrix() possibly not working like in cpp #map1, map2 = cv.initUndistortRectifyMap(cam_mtx, cam_dist, np.eye(3), new_cam_mtx, imageSize, cv.CV_16SC2); map1, map2 = cv.initUndistort...
CV_16SC2 := OpenCV.MAKETYPE(OpenCV.CV_16S, 2) Static CV_16SC3 := OpenCV.MAKETYPE(OpenCV.CV_16S, 3) Static CV_16SC4 := OpenCV.MAKETYPE(OpenCV.CV_16S, 4) Static CV_32SC1 := OpenCV.MAKETYPE(OpenCV.CV_32S, 1) Static CV_32SC2 := OpenCV.MAKETYPE(OpenCV.CV_32S, 2) Static CV_32...