def test_send_age_feedback(self):
""" send face feedback """
feedback_info = FeedbackInfo(end_user_id='robert_python_test_key',
session_id='from_your_browser',
event_type='annotation',
output_id='oooooooid')
m = self.app.models.get('general-v1.3')
identities = [
Concept(concept_id='xx', value=True),
Concept(concept_id='x2', value=False)
]
ages = [Concept(concept_id='1', value=True)]
face = Face(identity=FaceIdentity(identities),
age_appearance=FaceAgeAppearance(ages))
regions = [
Region(RegionInfo(bbox=BoundingBox(0.3, 0.2, 0.7, 0.8)), face=face)
]
ret = m.send_region_feedback(
input_id='xyz',
url='https://samples.clarifai.com/dog.tiff',
regions=regions,
feedback_info=feedback_info)
self.assertEqual(ret['status']['code'], 10000)
# send multiple items
identities = [
Concept(concept_id='xx', value=True),
Concept(concept_id='x2', value=False),
Concept(concept_id='x4', value=True)
]
ages = [
Concept(concept_id='1', value=True),
Concept(concept_id='2', value=False)
]
face = Face(identity=FaceIdentity(identities),
age_appearance=FaceAgeAppearance(ages))
regions = [
Region(RegionInfo(bbox=BoundingBox(0.3, 0.2, 0.7, 0.8)), face=face)
]
ret = m.send_region_feedback(
input_id='xyz',
url='https://samples.clarifai.com/dog.tiff',
regions=regions,
feedback_info=feedback_info)
self.assertEqual(ret['status']['code'], 10000)
def test_send_complete_multicultural_feedback(self):
""" send face feedback """
feedback_info = FeedbackInfo(
end_user_id='robert_python_test_key',
session_id='from_your_browser',
event_type='annotation',
output_id='oooooooid')
m = self.app.models.get('general-v1.3')
identities = [Concept(concept_id='xx', value=True), Concept(concept_id='x2', value=False)]
ages = [Concept(concept_id='1', value=True), Concept(concept_id='2', value=False)]
genders = [Concept(concept_id='male', value=True), Concept(concept_id='female', value=False)]
cultures = [
Concept(concept_id='american', value=True),
Concept(concept_id='asian', value=False)
]
face = Face(
identity=FaceIdentity(identities),
age_appearance=FaceAgeAppearance(ages),
gender_appearance=FaceGenderAppearance(genders),
multicultural_appearance=FaceMulticulturalAppearance(cultures))
regions = [Region(RegionInfo(bbox=BoundingBox(0.3, 0.2, 0.7, 0.8)), face=face)]
ret = m.send_region_feedback(
input_id='xyz',
url=sample_inputs.DOG_TIFF_IMAGE_URL,
regions=regions,
feedback_info=feedback_info)
self.assertEqual(ret['status']['code'], 10000)