| # Copyright 2014 The Android Open Source Project |
| # |
| # Licensed under the Apache License, Version 2.0 (the "License"); |
| # you may not use this file except in compliance with the License. |
| # You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| |
| import os.path |
| import cv2 |
| import its.caps |
| import its.device |
| import its.image |
| import its.objects |
| |
| NAME = os.path.basename(__file__).split('.')[0] |
| NUM_TEST_FRAMES = 20 |
| NUM_FACES = 3 |
| FD_MODE_OFF = 0 |
| FD_MODE_SIMPLE = 1 |
| FD_MODE_FULL = 2 |
| W, H = 640, 480 |
| |
| |
| def main(): |
| """Test face detection.""" |
| with its.device.ItsSession() as cam: |
| props = cam.get_camera_properties() |
| fd_modes = props['android.statistics.info.availableFaceDetectModes'] |
| a = props['android.sensor.info.activeArraySize'] |
| aw, ah = a['right'] - a['left'], a['bottom'] - a['top'] |
| |
| if its.caps.read_3a(props): |
| _, _, _, _, _ = cam.do_3a(get_results=True) |
| |
| for fd_mode in fd_modes: |
| assert FD_MODE_OFF <= fd_mode <= FD_MODE_FULL |
| req = its.objects.auto_capture_request() |
| req['android.statistics.faceDetectMode'] = fd_mode |
| fmt = {'format': 'yuv', 'width': W, 'height': H} |
| caps = cam.do_capture([req]*NUM_TEST_FRAMES, fmt) |
| for i, cap in enumerate(caps): |
| md = cap['metadata'] |
| assert md['android.statistics.faceDetectMode'] == fd_mode |
| faces = md['android.statistics.faces'] |
| |
| # 0 faces should be returned for OFF mode |
| if fd_mode == FD_MODE_OFF: |
| assert not faces |
| continue |
| # Face detection could take several frames to warm up, |
| # but should detect the correct number of faces in last frame |
| if i == NUM_TEST_FRAMES - 1: |
| img = its.image.convert_capture_to_rgb_image(cap, |
| props=props) |
| fnd_faces = len(faces) |
| print 'Found %d face(s), expected %d.' % (fnd_faces, |
| NUM_FACES) |
| # draw boxes around faces |
| for rect in [face['bounds'] for face in faces]: |
| top_left = (int(round(rect['left']*W/aw)), |
| int(round(rect['top']*H/ah))) |
| bot_rght = (int(round(rect['right']*W/aw)), |
| int(round(rect['bottom']*H/ah))) |
| cv2.rectangle(img, top_left, bot_rght, (0, 1, 0), 2) |
| img_name = '%s_fd_mode_%s.jpg' % (NAME, fd_mode) |
| its.image.write_image(img, img_name) |
| assert fnd_faces == NUM_FACES |
| if not faces: |
| continue |
| |
| print 'Frame %d face metadata:' % i |
| print ' Faces:', faces |
| print '' |
| |
| # Reasonable scores for faces |
| face_scores = [face['score'] for face in faces] |
| for score in face_scores: |
| assert score >= 1 and score <= 100 |
| # Face bounds should be within active array |
| face_rectangles = [face['bounds'] for face in faces] |
| for rect in face_rectangles: |
| assert rect['top'] < rect['bottom'] |
| assert rect['left'] < rect['right'] |
| assert 0 <= rect['top'] <= ah |
| assert 0 <= rect['bottom'] <= ah |
| assert 0 <= rect['left'] <= aw |
| assert 0 <= rect['right'] <= aw |
| |
| if __name__ == '__main__': |
| main() |