medicine_details.py

# import the necessary packages
from PIL import Image
import pytesseract
import argparse
import cv2
import os
from crawler import get_details

pytesseract.tesseract_cmd = 'C:/Program Files (x86)/Tesseract-OCR/tesseract'

# load the example image and convert it to grayscale
image = cv2.imread("C:/git/know_your_medicine/images/" + "med2.jpg")
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

cv2.imshow("Image", gray)

# write the grayscale image to disk as a temporary file so we can
# apply OCR to it
filename = "{}.png".format(os.getpid())
print(filename)
cv2.imwrite("C:/git/know_your_medicine/images/" + filename, gray)

#img = cv2.imread("C:/Users/VISHAL/images/" + filename)
#cv2.imshow(filename, img)

# load the image as a PIL/Pillow image, apply OCR, and then delete
# the temporary file
src_path = "C:/git/know_your_medicine/images/"
text = pytesseract.image_to_string(Image.open(src_path + filename))
os.remove("C:/git/know_your_medicine/images/" + filename)
get_details(text)

# show the output images
# cv2.imshow("Image", image)
#cv2.imshow("Output", gray)
cv2.waitKey(0)