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 15import its.image 16import its.caps 17import its.device 18import its.objects 19import its.target 20import os.path 21import math 22 23def main(): 24 """Test capturing a single frame as both RAW10 and YUV outputs. 25 """ 26 NAME = os.path.basename(__file__).split(".")[0] 27 28 THRESHOLD_MAX_RMS_DIFF = 0.035 29 30 with its.device.ItsSession() as cam: 31 props = cam.get_camera_properties() 32 its.caps.skip_unless(its.caps.compute_target_exposure(props) and 33 its.caps.raw10(props) and 34 its.caps.per_frame_control(props)) 35 36 # Use a manual request with a linear tonemap so that the YUV and RAW 37 # should look the same (once converted by the its.image module). 38 e, s = its.target.get_target_exposure_combos(cam)["midExposureTime"] 39 req = its.objects.manual_capture_request(s, e, True, props) 40 41 cap_raw, cap_yuv = cam.do_capture(req, 42 [{"format":"raw10"}, {"format":"yuv"}]) 43 44 img = its.image.convert_capture_to_rgb_image(cap_yuv) 45 its.image.write_image(img, "%s_yuv.jpg" % (NAME), True) 46 tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) 47 rgb0 = its.image.compute_image_means(tile) 48 49 # Raw shots are 1/2 x 1/2 smaller after conversion to RGB, so scale the 50 # tile appropriately. 51 img = its.image.convert_capture_to_rgb_image(cap_raw, props=props) 52 its.image.write_image(img, "%s_raw.jpg" % (NAME), True) 53 tile = its.image.get_image_patch(img, 0.475, 0.475, 0.05, 0.05) 54 rgb1 = its.image.compute_image_means(tile) 55 56 rms_diff = math.sqrt( 57 sum([pow(rgb0[i] - rgb1[i], 2.0) for i in range(3)]) / 3.0) 58 print "RMS difference:", rms_diff 59 assert(rms_diff < THRESHOLD_MAX_RMS_DIFF) 60 61if __name__ == '__main__': 62 main() 63 64