我目前正在使用谷歌视觉的text_detection API 处理单个图像，但我想获得批量响应。我尝试使用BatchAnnotateImagesRequest，但我还没有让它工作。
我正在做什么以获取一张图片的响应。
client = vision.ImageAnnotatorClient()
with io.open(path, 'rb') as image_file:
content = image_file.read()
image = vision.types.Image(content=content)
response = client.document_text_detection(image=image)
texts = response.text_annotations
【问题讨论】：
标签： python google-cloud-platform google-vision
public documentation 中有关于对 Google 文本检测 API 的批量请求的信息。
在文档中，您可以找到一些用 python 编写的示例，您可以使用这些示例来执行批处理请求，每个批处理限制为 2000 个文件：
from google.cloud import vision_v1
from google.cloud.vision_v1 import enums
import six
def sample_async_batch_annotate_images(input_image_uri, output_uri):
"""Perform async batch image annotation"""
client = vision_v1.ImageAnnotatorClient()
# input_image_uri = 'gs://cloud-samples-data/vision/label/wakeupcat.jpg'
# output_uri = 'gs://your-bucket/prefix/'
if isinstance(input_image_uri, six.binary_type):
input_image_uri = input_image_uri.decode('utf-8')
if isinstance(output_uri, six.binary_type):
output_uri = output_uri.decode('utf-8')
source = {'image_uri': input_image_uri}
image = {'source': source}
type_ = enums.Feature.Type.LABEL_DETECTION
features_element = {'type': type_}
type_2 = enums.Feature.Type.IMAGE_PROPERTIES
features_element_2 = {'type': type_2}
features = [features_element, features_element_2]
requests_element = {'image': image, 'features': features}
requests = [requests_element]
gcs_destination = {'uri': output_uri}
# The max number of responses to output in each JSON file
batch_size = 2
output_config = {'gcs_destination': gcs_destination, 'batch_size': batch_size}
operation = client.async_batch_annotate_images(requests, output_config)
print('Waiting for operation to complete...')
response = operation.result()
# The output is written to GCS with the provided output_uri as prefix
gcs_output_uri = response.output_config.gcs_destination.uri
print('Output written to GCS with prefix: {}'.format(gcs_output_uri))
除了示例代码，您还可以找到执行批处理请求时可以预期的输出示例。有关批处理请求的更多信息可以找到here。
【讨论】：