1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
|
# coding: utf-8
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
from devtools_testutils import AzureRecordedTestCase, recorded_by_proxy
from azure.ai.vision.face import FaceClient, FaceAdministrationClient
from azure.ai.vision.face.models import (
FaceDetectionModel,
FaceRecognitionModel,
)
from preparers import FaceClientPreparer, FacePreparer, FaceAdministrationClientPreparer
from _shared.constants import TestImages
from _shared import helpers
class TestIdentify(AzureRecordedTestCase):
test_images = [
TestImages.IMAGE_FAMILY_1_DAD_1,
TestImages.IMAGE_FAMILY_1_DAUGHTER_1,
TestImages.IMAGE_FAMILY_1_MOM_1,
TestImages.IMAGE_FAMILY_1_SON_1,
]
group_id = "identify"
def _setup_faces(self, client: FaceClient):
face_ids = []
image_path = helpers.get_image_path(TestImages.IMAGE_IDENTIFICATION1)
result = client.detect(
helpers.read_file_content(image_path),
detection_model=FaceDetectionModel.DETECTION03,
recognition_model=FaceRecognitionModel.RECOGNITION04,
return_face_id=True,
)
for face in result:
face_ids.append(face.face_id)
return face_ids
def _setup_group(self, operations):
operations.create(self.group_id, name=self.group_id, recognition_model=FaceRecognitionModel.RECOGNITION04)
person_ids = []
for image in self.test_images:
result = operations.create_person(self.group_id, name="test_person")
assert result.person_id
person_ids.append(result.person_id)
image_path = helpers.get_image_path(image)
operations.add_face(
self.group_id,
result.person_id,
helpers.read_file_content(image_path),
detection_model=FaceDetectionModel.DETECTION03,
)
poller = operations.begin_train(self.group_id)
poller.result()
return person_ids
def _teardown_group(self, operations):
operations.delete(self.group_id)
@FacePreparer()
@FaceClientPreparer()
@FaceAdministrationClientPreparer()
@recorded_by_proxy
def test_identify_from_large_person_group(
self, client: FaceClient, administration_client: FaceAdministrationClient
):
face_ids = self._setup_faces(client)
self._setup_group(administration_client.large_person_group)
identify_result = client.identify_from_large_person_group(
face_ids=face_ids, large_person_group_id=self.group_id
)
assert len(identify_result) == len(face_ids)
for result in identify_result:
assert result.candidates is not None
assert result.face_id is not None
for candidate in result.candidates:
assert candidate.confidence is not None
assert candidate.person_id is not None
self._teardown_group(administration_client.large_person_group)
|
