1 # Copyright 2015 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 = 0.035 26 27 28 def main(): 29 """Test capturing a single frame as both RAW12 and YUV 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) and 35 its.caps.raw12(props) and 36 its.caps.per_frame_control(props) and 37 not its.caps.mono_camera(props)) 38 39 # Use a manual request with a linear tonemap so that the YUV and RAW 40 # should look the same (once converted by the its.image module). 41 e, s = its.target.get_target_exposure_combos(cam)["midExposureTime"] 42 req = its.objects.manual_capture_request(s, e, 0.0, True, props) 43 44 max_raw12_size = \ 45 its.objects.get_available_output_sizes("raw12", props)[0] 46 w, h = its.objects.get_available_output_sizes( 47 "yuv", props, (1920, 1080), max_raw12_size)[0] 48 cap_raw, cap_yuv = cam.do_capture( 49 req, [{"format": "raw12"}, 50 {"format": "yuv", "width": w, "height": h}]) 51 52 img = its.image.convert_capture_to_rgb_image(cap_yuv) 53 its.image.write_image(img, "%s_yuv.jpg" % (NAME), True) 54 tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) 55 rgb0 = its.image.compute_image_means(tile) 56 57 # Raw shots are 1/2 x 1/2 smaller after conversion to RGB, but tile 58 # cropping is relative. 59 img = its.image.convert_capture_to_rgb_image(cap_raw, props=props) 60 its.image.write_image(img, "%s_raw.jpg" % (NAME), True) 61 tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) 62 rgb1 = its.image.compute_image_means(tile) 63 64 rms_diff = math.sqrt( 65 sum([pow(rgb0[i] - rgb1[i], 2.0) for i in range(3)]) / 3.0) 66 print "RMS difference:", rms_diff 67 msg = "RMS difference: %.4f, spec: %.3f" % (rms_diff, 68 THRESHOLD_MAX_RMS_DIFF) 69 assert rms_diff < THRESHOLD_MAX_RMS_DIFF, msg 70 71 if __name__ == '__main__': 72 main() 73 74
