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 math 16 import os.path 17 18 import its.caps 19 import its.device 20 import its.image 21 import its.objects 22 import its.target 23 24 NAME = os.path.basename(__file__).split(".")[0] 25 THRESHOLD_MAX_RMS_DIFF = 0.01 26 27 28 def main(): 29 """Test capturing a single frame as both YUV and JPEG outputs. 30 """ 31 32 with its.device.ItsSession() as cam: 33 props = cam.get_camera_properties() 34 its.caps.skip_unless(its.caps.compute_target_exposure(props)) 35 36 max_jpeg_size = \ 37 its.objects.get_available_output_sizes("jpeg", props)[0] 38 w, h = its.objects.get_available_output_sizes( 39 "yuv", props, (1920, 1080), max_jpeg_size)[0] 40 fmt_yuv = {"format": "yuv", "width": w, "height": h} 41 fmt_jpeg = {"format": "jpeg"} 42 43 # Use a manual request with a linear tonemap so that the YUV and JPEG 44 # should look the same (once converted by the its.image module). 45 e, s = its.target.get_target_exposure_combos(cam)["midExposureTime"] 46 req = its.objects.manual_capture_request(s, e, 0.0, True, props) 47 48 cap_yuv, cap_jpeg = cam.do_capture(req, [fmt_yuv, fmt_jpeg]) 49 50 img = its.image.convert_capture_to_rgb_image(cap_yuv, True) 51 its.image.write_image(img, "%s_yuv.jpg" % (NAME)) 52 tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) 53 rgb0 = its.image.compute_image_means(tile) 54 55 img = its.image.convert_capture_to_rgb_image(cap_jpeg, True) 56 its.image.write_image(img, "%s_jpeg.jpg" % (NAME)) 57 tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) 58 rgb1 = its.image.compute_image_means(tile) 59 60 rms_diff = math.sqrt( 61 sum([pow(rgb0[i] - rgb1[i], 2.0) for i in range(3)]) / 3.0) 62 print "RMS difference:", rms_diff 63 msg = "RMS difference: %.4f, spec: %.3f" % (rms_diff, 64 THRESHOLD_MAX_RMS_DIFF) 65 assert rms_diff < THRESHOLD_MAX_RMS_DIFF, msg 66 67 if __name__ == '__main__': 68 main() 69 70
