1 # Copyright 2013 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 that converted YUV images and device JPEG images look the same. 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) and 33 its.caps.per_frame_control(props)) 34 35 e, s = its.target.get_target_exposure_combos(cam)["midExposureTime"] 36 req = its.objects.manual_capture_request(s, e, True, props) 37 38 # YUV 39 size = its.objects.get_available_output_sizes("yuv", props)[0] 40 out_surface = {"width":size[0], "height":size[1], "format":"yuv"} 41 cap = cam.do_capture(req, out_surface) 42 img = its.image.convert_capture_to_rgb_image(cap) 43 its.image.write_image(img, "%s_fmt=yuv.jpg" % (NAME)) 44 tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) 45 rgb0 = its.image.compute_image_means(tile) 46 47 # JPEG 48 size = its.objects.get_available_output_sizes("jpg", props)[0] 49 out_surface = {"width":size[0], "height":size[1], "format":"jpg"} 50 cap = cam.do_capture(req, out_surface) 51 img = its.image.decompress_jpeg_to_rgb_image(cap["data"]) 52 its.image.write_image(img, "%s_fmt=jpg.jpg" % (NAME)) 53 tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) 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 61 if __name__ == '__main__': 62 main() 63 64
