我正在尝试通过 opencv 和 pytesseract 运行一个简单的车牌图像来获取文本,但我无法从中获取任何内容。按照此处的教程进行操作:
https:// Circuitdigest.com/microcontroller-projects/license-plate-recognition-using-raspberry-pi-and-opencv https://circuitdigest.com/microcontroller-projects/license-plate-recognition-using-raspberry-pi-and-opencv
我在 macbook 上运行,所有东西都安装在 anaconda 中,据我所知,没有错误,但是当我运行代码时,我得到了裁剪后的图像,但没有检测到数字:
(computer_vision) mac@x86_64-apple-darwin13 lpr % python explore.py
Detected Number is:
代码如下:
import cv2
import numpy as np
import imutils
import pytesseract
img = cv2.imread('plate1.jpg')
img = cv2.resize(img, (620,480))
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) #convert to grey scale
gray = cv2.bilateralFilter(gray, 11, 17, 17)
edged = cv2.Canny(gray, 30, 200) #Perform Edge detection
cnts = cv2.findContours(edged.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
cnts = imutils.grab_contours(cnts)
cnts = sorted(cnts, key = cv2.contourArea, reverse = True)[:10]
screenCnt = None
# loop over our contours
for c in cnts:
# approximate the contour
peri = cv2.arcLength(c, True)
approx = cv2.approxPolyDP(c, 0.018 * peri, True)
# if our approximated contour has four points, then
# we can assume that we have found our screen
if len(approx) == 4:
screenCnt = approx
break
# Masking the part other than the number plate
mask = np.zeros(gray.shape,np.uint8)
new_image = cv2.drawContours(mask,[screenCnt],0,255,-1,)
new_image = cv2.bitwise_and(img,img,mask=mask)
# Now crop
(x, y) = np.where(mask == 255)
(topx, topy) = (np.min(x), np.min(y))
(bottomx, bottomy) = (np.max(x), np.max(y))
Cropped = gray[topx:bottomx+1, topy:bottomy+1]
#Read the number plate
text = pytesseract.image_to_string(Cropped, config='--psm 11')
print("Detected Number is:",text)
cv2.imshow('image',Cropped)
cv2.waitKey(0)
cv2.destroyAllWindows()
Base image is here: