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 its.image 16 import its.caps 17 import its.device 18 import its.objects 19 import its.target 20 import os.path 21 import math 22 23 def main(): 24 """Test capturing a single frame as both RAW12 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.raw12(props) and 34 its.caps.per_frame_control(props) and 35 not its.caps.mono_camera(props)) 36 37 # Use a manual request with a linear tonemap so that the YUV and RAW 38 # should look the same (once converted by the its.image module). 39 e, s = its.target.get_target_exposure_combos(cam)["midExposureTime"] 40 req = its.objects.manual_capture_request(s, e, 0.0, True, props) 41 42 max_raw12_size = \ 43 its.objects.get_available_output_sizes("raw12", props)[0] 44 w,h = its.objects.get_available_output_sizes( 45 "yuv", props, (1920, 1080), max_raw12_size)[0] 46 cap_raw, cap_yuv = cam.do_capture(req, 47 [{"format":"raw12"}, 48 {"format":"yuv", "width":w, "height":h}]) 49 50 img = its.image.convert_capture_to_rgb_image(cap_yuv) 51 its.image.write_image(img, "%s_yuv.jpg" % (NAME), True) 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 # Raw shots are 1/2 x 1/2 smaller after conversion to RGB, but tile 56 # cropping is relative. 57 img = its.image.convert_capture_to_rgb_image(cap_raw, props=props) 58 its.image.write_image(img, "%s_raw.jpg" % (NAME), True) 59 tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) 60 rgb1 = its.image.compute_image_means(tile) 61 62 rms_diff = math.sqrt( 63 sum([pow(rgb0[i] - rgb1[i], 2.0) for i in range(3)]) / 3.0) 64 print "RMS difference:", rms_diff 65 assert(rms_diff < THRESHOLD_MAX_RMS_DIFF) 66 67 if __name__ == '__main__': 68 main() 69 70
