如何称呼谷歌视觉遗留模型？

Question

我想使用遗留的text_detection和document_text_detection模型。(参考：https://cloud.google.com/vision/docs/service-announcements)我用features这样做

import io
from google.cloud import vision

vision_client = vision.ImageAnnotatorClient()


with io.open("/mnt/d/snap.png", 'rb') as image_file:
    content = image_file.read()

image = vision.Image(content=content)


response = vision_client.document_text_detection(image=image)
# print(response) --> uses stable models, works fine



feature = vision.Feature(model="builtin/legacy")

response = vision_client.document_text_detection(image=image, features=feature)
# print(response) --> throws error show below

我得到了以下错误：

TypeError: dict() got multiple values for keyword argument 'features'

我做错了什么？

Answer 1

试试这个：

import io from google.cloud import vision

vision_client = vision.ImageAnnotatorClient()

with io.open("/mnt/d/snap.png", 'rb') as image_file:
    content = image_file.read()

#image = vision.Image(content=content)

response = vision_client.annotate_image({'image': {'content': content},'features': [{'type_': vision.Feature.Type.DOCUMENT_TEXT_DETECTION,'model': "builtin/legacy"}]})