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)
def test_send_gender_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(model_id=GENERAL_MODEL_ID)
identities = [
Concept(concept_id='xx', value=True),
Concept(concept_id='x2', value=False)
]
genders = [
Concept(concept_id='male', value=True),
Concept(concept_id='female', value=False)
]
face = Face(identity=FaceIdentity(identities),
gender_appearance=FaceGenderAppearance(genders))
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)
def test_send_region_feedback(self):
""" send region feedback with concepts """
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')
concepts = [Concept(concept_id='ab', value=False)]
regions = [
Region(RegionInfo(bbox=BoundingBox(0.3, 0.2, 0.7, 0.8),
feedback_type='accurate'),
concepts=concepts)
]
ret = m.send_region_feedback(
input_id='xyz',
url='https://samples.clarifai.com/dog.tiff',
concepts=['matid2'],
not_concepts=['lambo'],
regions=regions,
feedback_info=feedback_info)
self.assertEqual(ret['status']['code'], 10000)
concepts = [
Concept(concept_id='ab', value=False),
Concept(concept_id='bb', value=True)
]
regions = [
Region(RegionInfo(bbox=BoundingBox(0.3, 0.2, 0.7, 0.8)),
concepts=concepts),
Region(RegionInfo(bbox=BoundingBox(0.1, 0.2, 0.8, 0.85)),
concepts=concepts)
]
ret = m.send_region_feedback(
input_id='xyz',
url='https://samples.clarifai.com/dog.tiff',
concepts=['matid2'],
not_concepts=['lambo'],
regions=regions,
feedback_info=feedback_info)
self.assertEqual(ret['status']['code'], 10000)
def test_send_region_feedback(self):
""" send region feedback with concepts """
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(model_id=GENERAL_MODEL_ID)
concepts = [Concept(concept_id='ab', value=False)]
regions = [
Region(RegionInfo(bbox=BoundingBox(0.3, 0.2, 0.7, 0.8),
feedback_type='accurate'),
concepts=concepts)
]
ret = m.send_region_feedback(input_id='xyz',
url=sample_inputs.DOG_TIFF_IMAGE_URL,
concepts=['matid2'],
not_concepts=['lambo'],
regions=regions,
feedback_info=feedback_info)
self.assertEqual(ret['status']['code'], 10000)
concepts = [
Concept(concept_id='ab', value=False),
Concept(concept_id='bb', value=True)
]
regions = [
Region(RegionInfo(bbox=BoundingBox(0.3, 0.2, 0.7, 0.8)),
concepts=concepts),
Region(RegionInfo(bbox=BoundingBox(0.1, 0.2, 0.8, 0.85)),
concepts=concepts)
]
ret = m.send_region_feedback(input_id='xyz',
url=sample_inputs.DOG_TIFF_IMAGE_URL,
concepts=['matid2'],
not_concepts=['lambo'],
regions=regions,
feedback_info=feedback_info)
self.assertEqual(ret['status']['code'], 10000)
def test_send_different_region_feedbacks_with_enum_vars(self):
""" send different kind of region feedbacks with enums
- accurate
- misplaced
- not_detected
- false_positive
"""
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')
# positive
concepts = [Concept(concept_id='ab', value=False)]
regions = [
Region(RegionInfo(bbox=BoundingBox(0.3, 0.2, 0.7, 0.8),
feedback_type=FeedbackType.accurate),
concepts=concepts)
]
ret = m.send_region_feedback(
input_id='xyz',
url='https://samples.clarifai.com/dog.tiff',
concepts=['matid2'],
not_concepts=['lambo'],
regions=regions,
feedback_info=feedback_info)
self.assertEqual(ret['status']['code'], 10000)
# misplaced
regions = [
Region(RegionInfo(bbox=BoundingBox(0.3, 0.2, 0.8, 0.9),
feedback_type=FeedbackType.misplaced),
concepts=concepts)
]
ret = m.send_region_feedback(
input_id='xyz',
url='https://samples.clarifai.com/dog.tiff',
concepts=['matid2'],
not_concepts=['lambo'],
regions=regions,
feedback_info=feedback_info)
self.assertEqual(ret['status']['code'], 10000)
# misplaced
regions = [
Region(RegionInfo(bbox=BoundingBox(0.1, 0.2, 0.4, 0.5),
feedback_type=FeedbackType.not_detected),
concepts=concepts)
]
ret = m.send_region_feedback(
input_id='xyz',
url='https://samples.clarifai.com/dog.tiff',
concepts=['matid2'],
not_concepts=['lambo'],
regions=regions,
feedback_info=feedback_info)
self.assertEqual(ret['status']['code'], 10000)
# false_positive
regions = [
Region(RegionInfo(bbox=BoundingBox(0.1, 0.2, 0.4, 0.5),
feedback_type=FeedbackType.false_positive),
concepts=concepts)
]
ret = m.send_region_feedback(
input_id='xyz',
url='https://samples.clarifai.com/dog.tiff',
concepts=['matid2'],
not_concepts=['lambo'],
regions=regions,
feedback_info=feedback_info)
self.assertEqual(ret['status']['code'], 10000)
def test_bulk_update_with_regions(mock_http_client): # type: (mock.Mock) -> None
mock_execute_request = mock_request(
mock_http_client, """
{
"status": {
"code": 10000,
"description": "Ok"
},
"inputs": [
{
"id": "@inputID",
"data": {
"image": {
"url": "@imageURL"
},
"concepts": [
{
"id": "@concept1",
"name": "@concept1",
"value": 1,
"app_id": "@appID"
},
{
"id": "@concept2",
"name": "@concept2",
"value": 0,
"app_id": "@appID"
}
]
},
"created_at": "2019-01-29T15:23:21.188492Z",
"modified_at": "2019-01-29T15:23:21.575667Z",
"status": {
"code": 30200,
"description": "Input image modification success"
}
}
]
}
""")
app = ClarifaiApp()
images = app.inputs.bulk_update(
[
Image(
image_id='@inputID',
regions=[
Region(
region_info=RegionInfo(
bbox=BoundingBox(0.5, 0.5, 1.0, 1.0),
feedback_type=FeedbackType.misplaced),
concepts=[
Concept(concept_id='@concept1', value=True),
Concept(concept_id='@concept2', value=False)
],
region_id='@regionID',
face=Face(
identity=FaceIdentity(concepts=[
Concept(concept_id='@faceConcept1', value=True),
Concept(concept_id='@faceConcept2', value=False),
])))
])
],
action='overwrite')
assert images[0].input_id == '@inputID'
assert images[0].url == '@imageURL'
assert images[0].status.code == 30200
assert_request(
mock_execute_request, 'PATCH', '/v2/inputs', """
{
"inputs": [
{
"id": "@inputID",
"data": {
"regions": [
{
"id": "@regionID",
"region_info": {
"bounding_box": {
"top_row": 0.5,
"left_col": 0.5,
"bottom_row": 1,
"right_col": 1
},
"feedback": "misplaced"
},
"data": {
"concepts": [
{
"id": "@concept1",
"value": 1
},
{
"id": "@concept2",
"value": 0
}
],
"face": {
"identity": {
"concepts": [
{
"id": "@faceConcept1",
"value": 1
},
{
"id": "@faceConcept2",
"value": 0
}
]
}
}
}
}
]
}
}
],
"action": "overwrite"
}
""")
def test_send_different_region_feedbacks(self):
""" send different kind of region feedbacks
- accurate
- misplaced
- not_detected
- false_positive
"""
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')
# positive
concepts = [Concept(concept_id='ab', value=False)]
regions = [
Region(
RegionInfo(bbox=BoundingBox(0.3, 0.2, 0.7, 0.8), feedback_type='accurate'),
concepts=concepts)
]
ret = m.send_region_feedback(
input_id='xyz',
url=sample_inputs.DOG_TIFF_IMAGE_URL,
concepts=['matid2'],
not_concepts=['lambo'],
regions=regions,
feedback_info=feedback_info)
self.assertEqual(ret['status']['code'], 10000)
# misplaced
regions = [
Region(
RegionInfo(bbox=BoundingBox(0.3, 0.2, 0.8, 0.9), feedback_type='misplaced'),
concepts=concepts)
]
ret = m.send_region_feedback(
input_id='xyz',
url=sample_inputs.DOG_TIFF_IMAGE_URL,
concepts=['matid2'],
not_concepts=['lambo'],
regions=regions,
feedback_info=feedback_info)
self.assertEqual(ret['status']['code'], 10000)
# misplaced
regions = [
Region(
RegionInfo(bbox=BoundingBox(0.1, 0.2, 0.4, 0.5), feedback_type='not_detected'),
concepts=concepts)
]
ret = m.send_region_feedback(
input_id='xyz',
url=sample_inputs.DOG_TIFF_IMAGE_URL,
concepts=['matid2'],
not_concepts=['lambo'],
regions=regions,
feedback_info=feedback_info)
self.assertEqual(ret['status']['code'], 10000)
# false_positive
regions = [
Region(
RegionInfo(bbox=BoundingBox(0.1, 0.2, 0.4, 0.5), feedback_type='false_positive'),
concepts=concepts)
]
ret = m.send_region_feedback(
input_id='xyz',
url=sample_inputs.DOG_TIFF_IMAGE_URL,
concepts=['matid2'],
not_concepts=['lambo'],
regions=regions,
feedback_info=feedback_info)
self.assertEqual(ret['status']['code'], 10000)