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