| Clemenz Portmann | e2ef623 | 2017-05-04 09:54:56 -0700 | [diff] [blame] | 1 | # 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 | |
| 15 | import os.path |
| 16 | import cv2 |
| 17 | import its.caps |
| 18 | import its.device |
| 19 | import its.image |
| 20 | import its.objects |
| 21 | |
| 22 | NAME = os.path.basename(__file__).split('.')[0] |
| 23 | NUM_TEST_FRAMES = 20 |
| 24 | NUM_FACES = 3 |
| 25 | FD_MODE_OFF = 0 |
| 26 | FD_MODE_SIMPLE = 1 |
| 27 | FD_MODE_FULL = 2 |
| 28 | W, H = 640, 480 |
| 29 | |
| 30 | |
| 31 | def main(): |
| 32 | """Test face detection.""" |
| 33 | with its.device.ItsSession() as cam: |
| 34 | props = cam.get_camera_properties() |
| 35 | fd_modes = props['android.statistics.info.availableFaceDetectModes'] |
| 36 | a = props['android.sensor.info.activeArraySize'] |
| 37 | aw, ah = a['right'] - a['left'], a['bottom'] - a['top'] |
| 38 | |
| 39 | if its.caps.read_3a(props): |
| 40 | _, _, _, _, _ = cam.do_3a(get_results=True) |
| 41 | |
| 42 | for fd_mode in fd_modes: |
| 43 | assert FD_MODE_OFF <= fd_mode <= FD_MODE_FULL |
| 44 | req = its.objects.auto_capture_request() |
| 45 | req['android.statistics.faceDetectMode'] = fd_mode |
| 46 | fmt = {'format': 'yuv', 'width': W, 'height': H} |
| 47 | caps = cam.do_capture([req]*NUM_TEST_FRAMES, fmt) |
| 48 | for i, cap in enumerate(caps): |
| 49 | md = cap['metadata'] |
| 50 | assert md['android.statistics.faceDetectMode'] == fd_mode |
| 51 | faces = md['android.statistics.faces'] |
| 52 | |
| 53 | # 0 faces should be returned for OFF mode |
| 54 | if fd_mode == FD_MODE_OFF: |
| 55 | assert not faces |
| 56 | continue |
| 57 | # Face detection could take several frames to warm up, |
| 58 | # but should detect the correct number of faces in last frame |
| 59 | if i == NUM_TEST_FRAMES - 1: |
| 60 | img = its.image.convert_capture_to_rgb_image(cap, |
| 61 | props=props) |
| 62 | fnd_faces = len(faces) |
| 63 | print 'Found %d face(s), expected %d.' % (fnd_faces, |
| 64 | NUM_FACES) |
| 65 | # draw boxes around faces |
| 66 | for rect in [face['bounds'] for face in faces]: |
| 67 | top_left = (int(round(rect['left']*W/aw)), |
| 68 | int(round(rect['top']*H/ah))) |
| 69 | bot_rght = (int(round(rect['right']*W/aw)), |
| 70 | int(round(rect['bottom']*H/ah))) |
| 71 | cv2.rectangle(img, top_left, bot_rght, (0, 1, 0), 2) |
| 72 | img_name = '%s_fd_mode_%s.jpg' % (NAME, fd_mode) |
| 73 | its.image.write_image(img, img_name) |
| 74 | assert fnd_faces == NUM_FACES |
| 75 | if not faces: |
| 76 | continue |
| 77 | |
| 78 | print 'Frame %d face metadata:' % i |
| 79 | print ' Faces:', faces |
| 80 | print '' |
| 81 | |
| 82 | # Reasonable scores for faces |
| 83 | face_scores = [face['score'] for face in faces] |
| 84 | for score in face_scores: |
| 85 | assert score >= 1 and score <= 100 |
| 86 | # Face bounds should be within active array |
| 87 | face_rectangles = [face['bounds'] for face in faces] |
| 88 | for rect in face_rectangles: |
| 89 | assert rect['top'] < rect['bottom'] |
| 90 | assert rect['left'] < rect['right'] |
| 91 | assert 0 <= rect['top'] <= ah |
| 92 | assert 0 <= rect['bottom'] <= ah |
| 93 | assert 0 <= rect['left'] <= aw |
| 94 | assert 0 <= rect['right'] <= aw |
| 95 | |
| 96 | if __name__ == '__main__': |
| 97 | main() |