我一直在研究“车牌识别器”项目,该项目正在使用opencv
实施。更新了Python Version
和opencv
后,在找到轮廓时出现了错误,如下所示:
imgContours, contours, npaHierarchy = cv2.findContours(imgThreshCopy, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE) # find all contours
ValueError: not enough values to unpack (expected 3, got 2)
这是我使用的代码:
def findPossibleCharsInScene(imgThresh):
listOfPossibleChars = [] # this will be the return value
intCountOfPossibleChars = 0
imgThreshCopy = imgThresh.copy()
imgContours, contours, npaHierarchy = cv2.findContours(imgThreshCopy, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE) # find all contours
height, width = imgThresh.shape
imgContours = np.zeros((height, width, 3), np.uint8)
for i in range(0, len(contours)): # for each contour
if Main.showSteps == True: # show steps ###################################################
cv2.drawContours(imgContours, contours, i, Main.SCALAR_WHITE)
# end if # show steps #####################################################################
possibleChar = PossibleChar.PossibleChar(contours[i])
if DetectChars.checkIfPossibleChar(possibleChar): # if contour is a possible char, note this does not compare to other chars (yet) . . .
intCountOfPossibleChars = intCountOfPossibleChars + 1 # increment count of possible chars
listOfPossibleChars.append(possibleChar) # and add to list of possible chars
# end if
# end for
if Main.showSteps == True: # show steps #######################################################
print("\nstep 2 - len(contours) = " + str(len(contours))) # 2362 with MCLRNF1 image
print("step 2 - intCountOfPossibleChars = " + str(intCountOfPossibleChars)) # 131 with MCLRNF1 image
cv2.imshow("2a", imgContours)
# end if # show steps #########################################################################
return listOfPossibleChars
# end function
我应该做些什么来纠正它?
答案 0 :(得分:2)
我认为cv2.findContours()函数仅返回2个值。您应该将代码更改为以下
contours, npaHierarchy = cv2.findContours(imgThreshCopy, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)