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我使用的源代码示例从Open CV成为Python文档如下:的Python + OpenCV的名称没有定义
import numpy as np
import cv2
import glob
# termination criteria in this, 30 max number of iterations, 0.001 minimum accuracy
# CV_TERMCRIT_ITER or CV_TERMCRIT_EPS, tells the algorithm that we want to terminate either after some number of iterations or when the convergence metric reaches some small value (respectively).
# The next two arguments set the values at which one, the other, or both of these criteria should terminate the algorithm.
criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 30, 0.001)
# prepare object points, like (0,0,0), (1,0,0), (2,0,0), ..., (6,5,0)
objp = np.zeros((6*9,3), np.float32)
objp[:,:2] = np.mgrid[0:9,0:6].T.reshape(-1,2)
# Arrays to store object points and image points from all the images.
objpoints = [] # 3d point in real world space
imgpoints = [] # 2d points in image plane.
images = glob.glob('*.jpg')
# fname= 'C:\\Users\\Bender\\Desktop\\fotospayloads\\'
for fname in images:
img = cv2.imread(fname)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# Find the chess board corners
ret, corners = cv2.findChessboardCorners(gray, (9,6), None)
# If found, add object points, image points (after refining them)
if ret == True:
objpoints.append(objp)
corners2 = cv2.cornerSubPix(gray, corners, (11,11), (-1,-1), criteria)
imgpoints.append(corners2)
# Draw and display the corners
img = cv2.drawChessboardCorners(img, (9,6), corners2, ret)
cv2.imshow('img', img)
cv2.waitKey(500)
cv2.destroyAllWindows()
rms, mtx, dist, rvecs, tvecs = cv2.calibrateCamera(objpoints, imgpoints, gray.shape[::-1], None, None)
不幸的是,当我运行的源代码,我得到了以下错误: “NameError:名称'灰色'未定义“(第50行)。
任何帮助将非常感激。
感谢
艾萨克
“图像”实际上包含什么? 它可能为空,然后未定义或初始化“灰色”。 尝试添加一个打印(甚至更好,使用pdb)以查看“图像”包含的内容。 – Idan
由于您的代码没有50行,因此您无法获得有关第50行的此类消息。请查看[如何创建最小,完整和可验证示例](http://stackoverflow.com/帮助/ mcve),然后更新问题。 – John1024