def test_call_annotate_with_pb_requests_results(self):
from google.cloud.vision_v1.proto import image_annotator_pb2
client = mock.Mock(spec_set=['_connection'])
feature_type = image_annotator_pb2.Feature.CROP_HINTS
feature = image_annotator_pb2.Feature(type=feature_type, max_results=2)
image = image_annotator_pb2.Image(content=IMAGE_CONTENT)
aspect_ratios = [1.3333, 1.7777]
crop_hints_params = image_annotator_pb2.CropHintsParams(
aspect_ratios=aspect_ratios)
image_context = image_annotator_pb2.ImageContext(
crop_hints_params=crop_hints_params)
request = image_annotator_pb2.AnnotateImageRequest(
image=image, features=[feature], image_context=image_context)
http_api = self._make_one(client)
http_api._connection = mock.Mock(spec_set=['api_request'])
http_api._connection.api_request.return_value = {'responses': []}
responses = http_api.annotate(requests_pb=[request])
# Establish that one and exactly one api_request call was made.
self.assertEqual(http_api._connection.api_request.call_count, 1)
# Establish that the basic keyword arguments look correct.
call = http_api._connection.api_request.mock_calls[0]
self.assertEqual(call[2]['method'], 'POST')
self.assertEqual(call[2]['path'], '/images:annotate')
# Establish that the responses look correct.
self.assertEqual(responses, [])
self.assertEqual(len(responses), 0)
def detect_crop_hints(self, aspect_ratios=None, limit=10):
"""Detect crop hints in image.
:type aspect_ratios: list
:param aspect_ratios: (Optional) List of floats i.e. 4/3 == 1.33333. A
maximum of 16 aspect ratios can be given.
:type limit: int
:param limit: (Optional) The number of crop hints to detect.
:rtype: list
:returns: List of :class:`~google.cloud.vision.crop_hint.CropHints`.
"""
feature_type = image_annotator_pb2.Feature.CROP_HINTS
feature = image_annotator_pb2.Feature(type=feature_type,
max_results=limit)
image = _to_gapic_image(self)
crop_hints_params = image_annotator_pb2.CropHintsParams(
aspect_ratios=aspect_ratios)
image_context = image_annotator_pb2.ImageContext(
crop_hints_params=crop_hints_params)
request = image_annotator_pb2.AnnotateImageRequest(
image=image, features=[feature], image_context=image_context)
annotations = self._detect_annotation_from_pb([request])
return annotations[0].crop_hints
def test_annotate_with_pb_requests_results(self):
from google.cloud.vision_v1.proto import image_annotator_pb2
from google.cloud.vision.annotations import Annotations
client = mock.Mock(spec_set=['_credentials'])
feature_type = image_annotator_pb2.Feature.CROP_HINTS
feature = image_annotator_pb2.Feature(type=feature_type, max_results=2)
image_content = b'abc 1 2 3'
image = image_annotator_pb2.Image(content=image_content)
aspect_ratios = [1.3333, 1.7777]
crop_hints_params = image_annotator_pb2.CropHintsParams(
aspect_ratios=aspect_ratios)
image_context = image_annotator_pb2.ImageContext(
crop_hints_params=crop_hints_params)
request = image_annotator_pb2.AnnotateImageRequest(
image=image, features=[feature], image_context=image_context)
with mock.patch('google.cloud.vision._gax.image_annotator_client.'
'ImageAnnotatorClient'):
gax_api = self._make_one(client)
responses = [
image_annotator_pb2.AnnotateImageResponse(),
image_annotator_pb2.AnnotateImageResponse(),
]
response = image_annotator_pb2.BatchAnnotateImagesResponse(
responses=responses)
gax_api._annotator_client = mock.Mock(
spec_set=['batch_annotate_images'])
gax_api._annotator_client.batch_annotate_images.return_value = response
responses = gax_api.annotate(requests_pb=[request])
self.assertEqual(len(responses), 2)
for annotation in responses:
self.assertIsInstance(annotation, Annotations)
gax_api._annotator_client.batch_annotate_images.assert_called()
def detect_full_text(self, language_hints=None, limit=10):
"""Detect a full document's text.
:type language_hints: list
:param language_hints: (Optional) A list of BCP-47 language codes. See
https://cloud.google.com/vision/docs/languages
:type limit: int
:param limit: (Optional) The number of documents to detect.
:rtype: list
:returns: List of :class:`~google.cloud.vision.text.TextAnnotation`.
"""
feature_type = image_annotator_pb2.Feature.DOCUMENT_TEXT_DETECTION
feature = image_annotator_pb2.Feature(type=feature_type,
max_results=limit)
image = _to_gapic_image(self)
image_context = image_annotator_pb2.ImageContext(
language_hints=language_hints)
request = image_annotator_pb2.AnnotateImageRequest(
image=image, features=[feature], image_context=image_context)
annotations = self._detect_annotation_from_pb([request])
return annotations[0].full_texts
def annotate(self, images=None, requests_pb=None):
"""Annotate images through GAX.
:type images: list
:param images: List containing pairs of
:class:`~google.cloud.vision.image.Image` and
:class:`~google.cloud.vision.feature.Feature`.
e.g. [(image, [feature_one, feature_two]),]
:type requests_pb: list
:param requests_pb: List of :class:`google.cloud.vision_v1.proto.\
image_annotator_pb2.AnnotateImageRequest`
:rtype: list
:returns: List of
:class:`~google.cloud.vision.annotations.Annotations`.
"""
if any([images, requests_pb]) is False:
return []
if requests_pb is None:
requests = []
for image, features in images:
gapic_features = [
_to_gapic_feature(feature) for feature in features
]
gapic_image = _to_gapic_image(image)
request = image_annotator_pb2.AnnotateImageRequest(
image=gapic_image, features=gapic_features)
requests.append(request)
else:
requests = requests_pb
annotator_client = self._annotator_client
responses = annotator_client.batch_annotate_images(requests).responses
return [Annotations.from_pb(response) for response in responses]
def makeReqListImage(imageStr):
im_obj = pvv.Image(content = imageStr)
return pvv.AnnotateImageRequest(image = im_obj, features = [{"type": "TEXT_DETECTION"}])