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Yin-Chia Yeh0e0276f2015-06-03 15:27:06 -07001# Copyright 2014 The Android Open Source Project
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7# http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14
15import its.image
16import its.device
17import its.objects
18import os.path
19
20def main():
21 """Test face detection.
22 """
23 NAME = os.path.basename(__file__).split(".")[0]
24 NUM_TEST_FRAMES = 20
25 FD_MODE_OFF = 0
26 FD_MODE_SIMPLE = 1
27 FD_MODE_FULL = 2
28
29 with its.device.ItsSession() as cam:
30 props = cam.get_camera_properties()
31 fd_modes = props['android.statistics.info.availableFaceDetectModes']
32 a = props['android.sensor.info.activeArraySize']
33 aw, ah = a['right'] - a['left'], a['bottom'] - a['top']
34 cam.do_3a()
35 for fd_mode in fd_modes:
36 assert(FD_MODE_OFF <= fd_mode <= FD_MODE_FULL)
37 req = its.objects.auto_capture_request()
38 req['android.statistics.faceDetectMode'] = fd_mode
39 caps = cam.do_capture([req]*NUM_TEST_FRAMES)
40 for i,cap in enumerate(caps):
41 md = cap['metadata']
42 assert(md['android.statistics.faceDetectMode'] == fd_mode)
43 faces = md['android.statistics.faces']
44
45 # 0 faces should be returned for OFF mode
46 if fd_mode == FD_MODE_OFF:
47 assert(len(faces) == 0)
48 continue
49 # Face detection could take several frames to warm up,
50 # but it should detect at least one face in last frame
51 if i == NUM_TEST_FRAMES - 1:
52 if len(faces) == 0:
53 print "Error: no face detected in mode", fd_mode
54 assert(0)
55 if len(faces) == 0:
56 continue
57
58 print "Frame %d face metadata:" % i
59 print " Faces:", faces
60 print ""
61
62 face_scores = [face['score'] for face in faces]
63 face_rectangles = [face['bounds'] for face in faces]
64 for score in face_scores:
65 assert(score >= 1 and score <= 100)
66 # Face bounds should be within active array
67 for rect in face_rectangles:
68 assert(rect['top'] < rect['bottom'])
69 assert(rect['left'] < rect['right'])
70 assert(0 <= rect['top'] <= ah)
71 assert(0 <= rect['bottom'] <= ah)
72 assert(0 <= rect['left'] <= aw)
73 assert(0 <= rect['right'] <= aw)
74
75 # Face landmarks are reported if and only if fd_mode is FULL
76 # Face ID should be -1 for SIMPLE and unique for FULL
77 if fd_mode == FD_MODE_SIMPLE:
78 for face in faces:
79 assert('leftEye' not in face)
80 assert('rightEye' not in face)
81 assert('mouth' not in face)
82 assert(face['id'] == -1)
83 elif fd_mode == FD_MODE_FULL:
84 face_ids = [face['id'] for face in faces]
85 assert(len(face_ids) == len(set(face_ids)))
86 # Face landmarks should be within face bounds
87 for face in faces:
88 left_eye = face['leftEye']
89 right_eye = face['rightEye']
90 mouth = face['mouth']
91 l, r = face['bounds']['left'], face['bounds']['right']
92 t, b = face['bounds']['top'], face['bounds']['bottom']
93 assert(l <= left_eye['x'] <= r)
94 assert(t <= left_eye['y'] <= b)
95 assert(l <= right_eye['x'] <= r)
96 assert(t <= right_eye['y'] <= b)
97 assert(l <= mouth['x'] <= r)
98 assert(t <= mouth['y'] <= b)
99
100if __name__ == '__main__':
101 main()
102