FileNotFoundError: [WinError 2] The system cannot find the file specified.
During handling of the above exception, another exception occurred: pytesseract.pytesseract.TesseractNotFoundError: tesseract is not installed or it's not in your path.
我正在使用Pycharm社区,并尝试为OCR安装tesseract。 我的代码如下:
import cv2
import numpy as np
import pytesseract
from PIL import Image
from pytesseract import image_to_string
# Path of working folder on Disk
src_path = "C:/Users/fsipl/Desktop/"
def get_string(img_path):
# Read image with opencv
img = cv2.imread(img_path)
# Convert to gray
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# Apply dilation and erosion to remove some noise
kernel = np.ones((1, 1), np.uint8)
img = cv2.dilate(img, kernel, iterations=1)
img = cv2.erode(img, kernel, iterations=1)
# Write image after removed noise
cv2.imwrite(src_path + "removed_noise.png", img)
# Apply threshold to get image with only black and white
#img = cv2.adaptiveThreshold(img, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 31, 2)
# Write the image after apply opencv to do some ...
cv2.imwrite(src_path + "thres.png", img)
# Recognize text with tesseract for python
result = pytesseract.image_to_string(Image.open(src_path + "thres.png"))
# Remove template file
#os.remove(temp)
return result
print('--- Start recognize text from image ---')
print(get_string(src_path+"word_text.jpg"))
print("------ Done -------")
答案 0 :(得分:0)
是的,我只需更改一行即可解决问题。
我们必须提供pytesseract exe的可执行路径
pytesseract.pytesseract.tesseract_cmd ='C:\ Program Files(x86)\ Tesseract-OCR \ tesseract.exe'
def get_string(img_path): # Read image with opencv img = cv2.imread(img_path) # Convert to gray img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # Apply dilation and erosion to remove some noise kernel = np.ones((1, 1), np.uint8) img = cv2.dilate(img, kernel, iterations=1) img = cv2.erode(img, kernel, iterations=1) # Write image after removed noise cv2.imwrite(src_path + "removed_noise.png", img) # Apply threshold to get image with only black and white # img = cv2.adaptiveThreshold(img, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 31, 2) # Write the image after apply opencv to do some ... cv2.imwrite(src_path + "thres.png", img) # Recognize text with tesseract for python pytesseract.pytesseract.tesseract_cmd = 'C:\\Program Files (x86)\\Tesseract-OCR\\tesseract.exe' result = pytesseract.image_to_string(Image.open(src_path + "thres.png")) # Remove template file # os.remove(temp) return result