我正在使用Google Vision OCR从python.
但是，置信度分数总是显示0.0这绝对不正确。
如何从谷歌回复中提取单个字符或单词的 OCR 置信度分数？
content = cv2.imencode('.jpg', cv2.imread(file_name))[1].tostring()
img = types.Image(content=content)
response1 = client.text_detection(image=img, image_context={"language_hints": ["en"]})
response_annotations = response1.text_annotations
for x in response1.text_annotations:
print(x)
print(f'confidence:{x.confidence}')
例如：迭代的输出
description: "Date:"
bounding_poly {
vertices {
x: 127
y: 11
}
vertices {
x: 181
y: 10
}
vertices {
x: 181
y: 29
}
vertices {
x: 127
y: 30
}
}
confidence:0.0
我设法重现了您的问题。我使用以下函数并获得了所有项目的置信度 0.0。
from google.cloud import vision
def detect_text_uri(uri):
client = vision.ImageAnnotatorClient()
image = vision.types.Image()
image.source.image_uri = uri
response = client.text_detection(image=image)
texts = response.text_annotations
print('Texts:')
for text in texts:
print('n"{}"'.format(text.description))
vertices = (['({},{})'.format(vertex.x, vertex.y)
for vertex in text.bounding_poly.vertices])
print('bounds: {}'.format(','.join(vertices)))
print("confidence: {}".format(text.confidence))
if response.error.message:
raise Exception(
'{}nFor more info on error messages, check: '
'https://cloud.google.com/apis/design/errors'.format(
response.error.message))
但是，当使用文档中的"试用 API"选项的相同图像时，我获得了置信度为 not 0 的结果。从本地图像中检测文本时也会发生这种情况。
使用这两种方法时，应该期望置信度具有相同的值。我已经打开了一个问题跟踪器，请在此处查看。
检索GOCR响应的正确置信度值的工作代码。
(使用document_text_detection()代替text_detection()(
def detect_document(path):
"""Detects document features in an image."""
from google.cloud import vision
import io
client = vision.ImageAnnotatorClient()
# [START vision_python_migration_document_text_detection]
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)
for page in response.full_text_annotation.pages:
for block in page.blocks:
print('nBlock confidence: {}n'.format(block.confidence))
for paragraph in block.paragraphs:
print('Paragraph confidence: {}'.format(
paragraph.confidence))
for word in paragraph.words:
word_text = ''.join([
symbol.text for symbol in word.symbols
])
print('Word text: {} (confidence: {})'.format(
word_text, word.confidence))
for symbol in word.symbols:
print('tSymbol: {} (confidence: {})'.format(
symbol.text, symbol.confidence))
if response.error.message:
raise Exception(
'{}nFor more info on error messages, check: '
'https://cloud.google.com/apis/design/errors'.format(
response.error.message))
# [END vision_python_migration_document_text_detection]
# [END vision_fulltext_detection]
# add your own path
path = "gocr_vision.png"
detect_document(path)
置信度分数未填充？
试试这个
from google.cloud import vision_v1
image = vision_v1.Image(content=my_image)
text_detection_params = vision_v1.TextDetectionParams(enable_text_detection_confidence_score=True)
image_context = vision_v1.ImageContext(text_detection_params=text_detection_params)
response = client.text_detection(image=image, image_context=image_context)