【Vision API】PC上のローカル画像を画像認識するには【Python】

with io.open("./neko.jpg", 'rb') as image_file:
    content = image_file.read()
image = vision.Image(content=content)

response = client.object_localization(image=image)

### sample.py ###
# ローカル画像から物体検出するサンプル #

from google.cloud import vision
from google.oauth2 import service_account
import io

# 身元証明書のjson読み込み
credentials = service_account.Credentials.from_service_account_file('key.json')
client = vision.ImageAnnotatorClient(credentials=credentials)

#ローカル画像を読み込み、imageオブジェクト作成
with io.open("./neko.jpg", 'rb') as image_file:
    content = image_file.read()
image = vision.Image(content=content)

#Cloud Vision APIにアクセスして、物体検出
response = client.object_localization(image=image)

# 物体検出結果を表示
print("物体検出：./neko.jpg")
labels = response.localized_object_annotations
for label in labels:
    print(label.name + ":" + str(label.score))

# エラー処理
if response.error.message:
    raise Exception(
        '{}\nFor more info on error messages, check: '
        'https://cloud.google.com/apis/design/errors'.format(response.error.message))

>py sample.py

物体検出：./neko.jpg
Cat:0.9583572149276733
Bed:0.6161924004554749