rectifyed_img1 = cv2.remap(image1, map1x, map1y, cv2.INTER_AREA) rectifyed_img2 = cv2.remap(image2, map2x, map2y, cv2.INTER_AREA) return rectifyed_img1, rectifyed_img2 #视差计算 def sgbm(imgL, imgR): #SGBM参数设置 blockSize = 8 img_channels = 3 stereo = cv2.StereoSGBM_cr...
sgbm = cv2.StereoSGBM_create(minDisparity=minDisparity, numDisparities=numDisparities, blockSize=blockSize, P1=P1, P2=P2, disp12MaxDiff=disp12MaxDiff, preFilterCap=preFilterCap, uniquenessRatio=uniquenessRatio, speckleWindowSize=speckleWindowSize, speckleRange=speckleRange, mode=cv2.STEREO_SGBM_MODE_...
Python-openCV 中cv2.StereoSGBM_create()参数的含义: 参考:https://docs.opencv.org/trunk/d2/d85/classcv_1_1StereoSGBM.html 参考OpenCV官网:https://docs.opencv.org/trunk/d2/d85/classcv_1_1StereoSGBM.html cv2.StereoSGBM_create()的SGBM算法的定义: cv2.StereoSGBM_create( [,minDisparity [,numDisp...
OpenCV提供了多种视差计算算法,如SAD算法、SGBM算法等。这里我们选择使用SGBM算法,以下是示例代码: importcv2# 创建SGBM对象stereo=cv2.StereoSGBM_create()# 设置SGBM参数stereo.setMinDisparity(0)stereo.setNumDisparities(16)stereo.setBlockSize(5)stereo.setDisp12MaxDiff(1)stereo.setUniquenessRatio(10)stereo.set...
cv2(OpenCV) os 在程序开头,需要定义一些变量来存储标定图片的路径、棋盘格参数、角点坐标等等。具体介绍如下: path_left="./data/left/"path_right="./data/right/" path_left和path_right是左右相机标定图片文件夹的路径。 CHESSBOARD_SIZE=(8,11) ...
remap(img2, map2x, map2y, cv2.INTER_LINEAR) 四、双目测距 双目测距是通过计算两幅校正后图像中对应点的视差来估计深度的。OpenCV提供了cv2.StereoBM_create()或cv2.StereoSGBM_create()等函数来创建立体匹配对象,并计算视差图。 # 创建立体匹配对象 stereo = cv2.StereoSGBM_create(numDisparities=16*5, block...
rectifyed_img2=cv2.remap(image2, map2x, map2y, cv2.INTER_AREA)returnrectifyed_img1, rectifyed_img2#视差计算defsgbm(imgL, imgR):#SGBM参数设置blockSize = 8img_channels= 3stereo= cv2.StereoSGBM_create(minDisparity = 1, numDisparities= 64, ...
left_matcher = cv2.StereoSGBM_create( minDisparity=-1, numDisparities=5*16, # max_disp has to be dividable by 16 f. E. HH 192, 256 blockSize=window_size, P1=8 * 3 * window_size, # wsize default 3; 5; 7 for SGBM reduced size image; 15 for SGBM full size image (1300px and...
'mode': cv2.STEREO_SGBM_MODE_SGBM_3WAY } # 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 ...
left_matcher = cv2.StereoSGBM_create( minDisparity=-1, numDisparities=5*16, # max_disp has to be dividable by 16 f. E. HH 192, 256 blockSize=window_size, P1=8 * 3 * window_size, # wsize default 3; 5; 7 for SGBM reduced size image; 15 for SGBM full size image (1300px and...