rahim42324

#importing modules
import pytesseract
from PIL import Image

print(pytesseract.image_to_data(Image.open('planet.png')))

rahim42324

#importing modules
import pytesseract
from PIL import Image

#bounding box info
print(pytesseract.image_to_boxes(Image.open('planet.png')))

rahim42324

#importing modules
import pytesseract
from PIL import Image

#reading french text from image
print(pytesseract.image_to_string(Image.open('test-european.jpg'), lang='fra'))

rahim42324

#importing opencv and pytesseract
import cv2
import pytesseract

img = cv2.imread("book_page.jpg")
#Resize the image
img = cv2.resize(img, None, fx=0.5, fy=0.5)
#Convert image to grayscale
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
#Convert image to black and white

rahim42324

#importing opencv
import cv2

img = cv2.imread("book_page.jpg")
#Resize the image
img = cv2.resize(img, None, fx=0.5, fy=0.5)
#Convert image to grayscale
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
#Convert image to black and white
adaptive_threshold = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 85, 11)

rahim42324

#importing opencv
import cv2

img = cv2.imread("book_page.jpg")
#Resize the image
img = cv2.resize(img, None, fx=0.5, fy=0.5)
#Convert image to grayscale
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
#Convert image to black and white
adaptive_threshold = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 85, 11)

rahim42324

#importing modules
import pytesseract
from PIL import Image

# If you don't have tesseract executable in your PATH, include the following:
pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files (x86)\Tesseract-OCR\tesseract'

#converting image to text
print(pytesseract.image_to_string(Image.open('image.png')))

rahim42324

dsad

rahim42324

hello

rahim42324

class university:
  def __init__(self,name,department):
    self.name=name;
    self.department=deparment