Parking sign reader
City planners have millions of images from truck cameras. Since the city does not keep a record of this data, parking regulations would be very valuable for planners to know.
Sam found detect_text() in the boto3 Rekognition documentation. She is going to use it to extract text out of the images City planners provided.
Sam has:
- Created the Rekognition client.
- Called
.detect_text()and stored the result inresponse.
Help Sam create a data source for parking regulations in the City. Use Rekognition's .detect_text() method to extract lines and words from images of parking signs.
Questo esercizio fa parte del corso
Introduction to AWS Boto in Python
esercizio interattivo pratico
Prova questo esercizio completando questo codice di esempio.
# Create empty list of words
words = []
# Iterate over the TextDetections in the response dictionary
for text_detection in response['____']:
# If TextDetection type is WORD, append it to words list
if text_detection['____'] == 'WORD':
# Append the detected text
words.append(text_detection['____'])
# Print out the words list
print(words)