cv2_深度信息.zip_python 教程

# -*- coding:utf-8 -*- #__author__ = 'Microcosm' import cv2 import numpy as np from matplotlib import pyplot as plt import os os.chdir(u"D:\\Documents\\5-PythonCode\\双目视觉标定等\\") print os.path.abspath(os.curdir.decode("gbk")) img_L = cv2.imread("left.jpg",0) img_R = cv2.imread("right.jpg",0) #plt.subplot(121),plt.imshow(img_L,'gray'),plt.title('img_left'),plt.xticks([]),plt.yticks([]) #plt.subplot(122),plt.imshow(img_R,'gray'),plt.title('disparity'),plt.xticks([]),plt.yticks([]) #plt.show() #print "images read done!" stereo = cv2.StereoBM(cv2.STEREO_BM_BASIC_PRESET,32,25) #stereo = cv2.StereoBM(numDisparities=16, blockSize=15) #OpenCV 3.0的函数 cv2.StereoBM(preset,ndisparities,SADwindowSize) #cv2.StereoSGBM(minDisparity,numDisparities,SADWindowSize,...) #stereo = cv2.StereoBM(numDisparities=16*num, blockSize=blockSize) #StereoSGBM, #(numberOfDisparities must be positive and divisble by 16) #SADWindowSize must be odd, be within 5..255 and be not larger than image width or height #plt.subplot(121),plt.imshow(img_R),plt.title('img_left'),plt.xticks([]),plt.yticks([]) print "*"*20 disparity = stereo.compute(img_L, img_R) plt.subplot(121),plt.imshow(img_L,'gray'),plt.title('img_left'),plt.xticks([]),plt.yticks([]) plt.subplot(122),plt.imshow(disparity,'gray'),plt.title('disparity'),plt.xticks([]),plt.yticks([]) #plt.subplot(121),plt.imshow(img_L),plt.title('img_left'),plt.xticks([]),plt.yticks([]) #plt.subplot(122),plt.imshow(disparity),plt.title('disparity'),plt.xticks([]),plt.yticks([]) plt.show() cv2.imwrite('depth_map.png', disparity) """ import cv2 left_img = cv2.imread('tsukuba_l.png', 0) right_img = cv2.imread('tsukuba_r.png', 0) matching = cv2.createStereoBM(numDisparities=16, blockSize=25) depth_map = matching.compute(left_img, right_img) cv2.imwrite('depth_map.png', depth_map """