akash-ch2812

import tensorflow as tf
from keras.preprocessing.image import ImageDataGenerator

# creating a sequential model
cnn = tf.keras.models.Sequential()

# adding convolution layer to network
cnn.add(tf.keras.layers.Conv2D(filters=32, kernel_size=3, activation='relu', input_shape=[64, 64, 3]))

# adding pooling layer to network

akash-ch2812

import pytesseract
pytesseract.pytesseract.tesseract_cmd = r'C:\Users\Akash.Chauhan1\AppData\Local\Tesseract-OCR\tesseract.exe'

# load the original image
image = cv2.imread('Original_Image.jpg')

# get co-ordinates to crop the image
c = line_items_coordinates[1]

# cropping image img = image[y0:y1, x0:x1]

akash-ch2812

# use this command to install open cv2
# pip install opencv-python

# use this command to install PIL
# pip install Pillow

import cv2
from PIL import Image

def mark_region(imagE_path):

akash-ch2812

from pdf2image import convert_from_path

pdfs = r"provide path to pdf file"
pages = convert_from_path(pdfs, 350)

i = 1
for page in pages:
    image_name = "Page_" + str(i) + ".jpg"  
    page.save(image_name, "JPEG")
    i = i+1