Find contours based on edges and output equipment label

问题

I am trying to code a tool that automatically identifies and alphabetically sorts the images based on equipment number (19-V1083AI). I used the pytesseract library to convert the image to a string after the contours of the equipment label were identified. Although the code runs correctly, it never outputs the equipment number. It's my first time using the pytesseract library and the goodFeaturesToTrack function. Any help would be greatly appreciated!

Original Image:

import numpy as np
import cv2
import imutils #resizeimage
import pytesseract # convert img to string
from matplotlib import pyplot as plt
pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\tesseract.exe"

# Read the image file
image = cv2.imread('Car Images/s3.JPG')

# Resize the image - change width to 500
image = imutils.resize(image, width=500)


# Display the original image
cv2.imshow("Original Image", image)
cv2.waitKey(0)

# RGB to Gray scale conversion
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
cv2.imshow("1 - Grayscale Conversion", gray)
cv2.waitKey(0)

# Noise removal with iterative bilateral filter(removes noise while preserving edges)
gray = cv2.bilateralFilter(gray, 11, 17, 17)
cv2.imshow("2 - Bilateral Filter", gray)
cv2.waitKey(0)


corners = cv2.goodFeaturesToTrack(gray,60,0.001,10)

corners = np.int0(corners)

for i in corners:
    x,y = i.ravel()
    cv2.circle(image,(x,y),0,255,-1)
    coord = np.where(np.all(image == (255, 0, 0),axis=-1))
plt.imshow(image)

# Use tesseract to covert image into string
text = pytesseract.image_to_string(image, lang='eng')
print("Equipment Number is:", text)


plt.show()

Output:

来源：https://stackoverflow.com/questions/61309123/find-contours-based-on-edges-and-output-equipment-label