I am having a base64 encoded image.
imageData = 'data:image/png;base64,iVBORw0rrfwfwHReger32QRQWr...'
How I should proceed for text detection with google cloud vision python library?
My Code looks like :
from google.cloud import vision
client = vision.Client()
imageData = 'data:image/png;base64,iVBORw0rrfwfwHReger32QRQWr...'
image = client.image(content=imageData)
texts = image.detect_text()
print texts[0].description
Use the Cloud Client library for Python vision as demonstrated here. The Cloud client library does all of the base64 encoding for you behind the scenes.
Initialize your folder with a virtualenv and the client library:
virtualenv env && source env/bin/activate
pip install google-cloud-vision
The following snippet does OCR on an image file, base64 file.png:
from google.cloud import vision
from google.cloud.vision import types
client = vision.ImageAnnotatorClient()
content = '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'
image = types.Image(content=content.decode('base64'))
texts = client.text_detection(image=image).text_annotations
for text in texts:
print('\n"{}"'.format(text.description))
