We are trying to extract the text from an image using google-cloud-vision API:
import io
import os
from google.oauth2 import service_account
from google.cloud import vision
# The name of the image file to annotate (Change the line below 'image_path.jpg' ******)
path = os.path.join(os.path.dirname(__file__), '3.jpg') # Your image path from current directory
client = vision.ImageAnnotatorClient()
with io.open(path, 'rb') as image_file:
content = image_file.read()
image = vision.types.Image(content=content)
response = client.text_detection(image=image)
texts = response.text_annotations
print('Texts:')
for text in texts:
print(format(text.description))
In this code, we need to make the API read the image through the 'cv2' function only, instead of using the 'io' function:
# Read image file
with io.open(img_path, 'rb') as image_file:
content = image_file.read()
Any suggestion will be helpful
All you need is to convert numpy array that is created from cv2
to bytes which is used by Google Vision API
. Here is how you do it:
import cv2
with open(path, 'rb') as image_file:
content1 = image_file.read()
image = cv2.imread(path)
success, encoded_image = cv2.imencode('.jpg', image)
content2 = encoded_image.tobytes()
image_cv2 = vision.types.Image(content=content2)
response = client.text_detection(image=image_cv2)
texts = response.text_annotations