使用Google Cloud Vision API生成图像标注报错：无enums属性

这个错误是因为新版Google Cloud Vision Python客户端库（v1版本）调整了枚举类型的结构，enums不再挂载在google.cloud.vision模块下。可以通过以下两种方式修复：

方法1：使用google.cloud.vision_v1中的枚举类 #

修改导入和feature类型的引用：

from google.cloud import vision
from google.cloud.vision_v1 import types, Feature

client = vision.ImageAnnotatorClient.from_service_account_json('service_account_key.json')

file_name = 'Images/man.jpg'
with open(file_name, 'rb') as image_file:
    content = image_file.read()

image = types.Image(content=content)
response = client.annotate_image({
    'image': image,
    'features': [{'type': Feature.Type.LABEL_DETECTION}]
})

captions = []
for annotation in response.label_annotations:
    captions.append(annotation.description)

print("Generated captions for the image:")
for caption in captions:
    print(caption)

方法2：直接使用字符串常量 #

Vision API的features.type字段支持直接传入字符串值，这是更简洁的写法：

from google.cloud import vision
from google.cloud.vision_v1 import types

client = vision.ImageAnnotatorClient.from_service_account_json('service_account_key.json')

file_name = 'Images/man.jpg'
with open(file_name, 'rb') as image_file:
    content = image_file.read()

image = types.Image(content=content)
response = client.annotate_image({
    'image': image,
    'features': [{'type': 'LABEL_DETECTION'}]
})

captions = []
for annotation in response.label_annotations:
    captions.append(annotation.description)

print("Generated captions for the image:")
for caption in captions:
    print(caption)

两种方法都可以解决错误，推荐第二种，代码更简洁且避免枚举类的导入问题。

内容的提问来源于stack exchange，提问作者Touseef Ahmed