StereoBM_create() 作用 创建StereoBM(block match)对象。 原型 cv.StereoBM_create( [, numDisparities[, blockSize]] ) -> retval 参数 • numDisparities:disparity的搜索范围。 对于每个像素,算法将找到从0(默认的最小视差)到numDisparities的最佳视差。之后,可以通过改变最小视差来改变搜索范围,见StereoSGBM_cr...
blockSize =5# 根据Block Maching方法生成差异图(opencv里也提供了SGBM/Semi-Global Block Matching算法,有兴趣可以试试) stereo = cv2.StereoBM_create(numDisparities=16*num, blockSize=blockSize) disparity = stereo.compute(imgL, imgR) disp = cv2.normalize(disparity, disparity, alpha=0, beta=255, norm...
}# 构建SGBM对象left_matcher = cv2.StereoSGBM_create(**paraml) paramr = paraml paramr['minDisparity'] = -paraml['numDisparities'] right_matcher = cv2.StereoSGBM_create(**paramr)# 计算视差图size = (left_image.shape[1], left_image.shape[0])ifdown_scale ==False: disparity_left = left...
这里提供了两个方法，一个使用Numpy函数，另一个使用OpenCV函数(最后的注释行)。结果也是一样的，只是略...
cv2.StereoBM_create() cv2.StereoMatcher #类 cv2.Stitcher #类 cv2.Stitcher_create() cv2.Subdiv2D #类 cv2.SVBackSubst() cv2.SVDecomp() #SVD分解 #todo cv2.textureFlattening() cv2.threshold() #图像整体二值化 cv2.trace() cv2.transform() #变换 ...
深度图Matdisparity;Matdframe;Vec3fpoint3;Matddd;MatrectifyImageL,rectifyImageR;MatmapLx,mapLy,mapRx,mapRy;//映射表MatR_L,R_R,P_L,P_R,Q;//校正旋转矩阵R,投影矩阵P 重投影矩阵QRectvalidROIL;//裁剪后的左右图RectvalidROIR;Ptr<StereoBM>bm=StereoBM::create(16,9);//调用BM算法voidBM_...
canvas.create(h * 2, w, CV_8UC3); } destroyAllWindows(); Mat imgLeft, imgRight; int ndisparities = 16 * 5; /**< Range of disparity */ int SADWindowSize = 31; /**< Size of the block window. Must be odd */ Ptr<StereoBM> sbm = StereoBM::create(ndisparities, SADWindowSize...
int numberOfDisparities=((imgSize.width/8)+15)&-16;cv::Ptr<cv::StereoBM>bm=cv::StereoBM::create(16,9);cv::Rect roi1,roi2;bm->setROI1(roi1);bm->setROI2(roi2);bm->setPreFilterCap(31);bm->setBlockSize(9);bm->setMinDisparity(0);bm->setNumDisparities(numberOfDisparities);bm-...
cv2.calibrateCamera()cv2.getOptimalNewCameraMatrix()cv2.undistort()cv2.initUndistortRectifyMap()cv2.remap()cv2.projectPoints()cv2.norm()# 姿态估计cv2.solvePnPRansac()# 极对数几何cv2.FlannBasedMatcher()cv2.findFundamentalMat()cv2.computeCorrespondEpilines()# 从立体图像中得到深度图cv2.StereoBM_create()...
l.png", 0) imgR = cv2.imread("assets/tsukuba_r.png", 0) stereo = cv2.StereoBM_create(...