google cloud platform (vision api)

gcp_vision_api_test_code.py

import io
import os

# export GOOGLE_APPLICATION_CREDENTIALS=/home/oops/github/gcloud/GCP-ML-8492a87b7f32.json

# Imports the Google Cloud client library
from google.cloud import vision

# Instantiates a client
vision_client = vision.Client()

# The name of the image file to annotate
file_name = os.path.join(
    os.path.dirname(__file__),
    'test.jpg')

# Loads the image into memory
with io.open(file_name, 'rb') as image_file:
    content = image_file.read()
    image = vision_client.image(
        content=content)

# Performs label detection on the image file
labels = image.detect_labels()

print('Labels:')
for label in labels:
    print(label.description)

faces = image.detect_faces()
print('Faces:')
for face in faces:
    print('anger: {}'.format(face.emotions.anger))
    print('joy: {}'.format(face.emotions.joy))
    print('surprise: {}'.format(face.emotions.surprise))

    vertices = (['({},{})'.format(bound.x_coordinate, bound.y_coordinate)
                for bound in face.bounds.vertices])

    print('face bounds: {}'.format(','.join(vertices)))