#!/usr/bin/env python
# Run Google OCR on the Farragut sample image
import pickle
from google.cloud import vision
from google.cloud.vision import types
from google.protobuf import json_format
# Load the jpeg
with open("../../../samples/Farragut-DD-348-1942-01-0021.jpg",'rb') as jf:
ie=jf.read()
# Analyze the document
image = types.Image(content=ie)
client = vision.ImageAnnotatorClient()
response = client.document_text_detection(image=image)
document = response.full_text_annotation
# Save the resulting JSON
pickle.dump(document, open( "detection.pkl", "wb" ) )
with open('detection.txt', 'w') as file:
file.write(json_format.MessageToJson(document))