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 math 16import os.path 17import its.caps 18import its.device 19import its.image 20import its.objects 21import its.target 22 23NAME = os.path.basename(__file__).split(".")[0] 24THRESHOLD_MAX_RMS_DIFF = 0.035 25 26 27def main(): 28 """Test capturing a single frame as both RAW10 and YUV outputs.""" 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) 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 mode = req["android.shading.mode"] 43 print "shading mode:", mode 44 45 max_raw10_size = its.objects.get_available_output_sizes("raw10", 46 props)[0] 47 w, h = its.objects.get_available_output_sizes( 48 "yuv", props, (1920, 1080), max_raw10_size)[0] 49 out_surfaces = [{"format": "raw10"}, 50 {"format": "yuv", "width": w, "height": h}] 51 cap_raw, cap_yuv = cam.do_capture(req, out_surfaces) 52 53 img = its.image.convert_capture_to_rgb_image(cap_yuv) 54 its.image.write_image(img, "%s_shading=%d_yuv.jpg" % (NAME, mode), True) 55 tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) 56 rgb0 = its.image.compute_image_means(tile) 57 58 # Raw shots are 1/2 x 1/2 smaller after conversion to RGB, but tile 59 # cropping is relative. 60 img = its.image.convert_capture_to_rgb_image(cap_raw, props=props) 61 its.image.write_image(img, "%s_shading=%d_raw.jpg" % (NAME, mode), True) 62 tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) 63 rgb1 = its.image.compute_image_means(tile) 64 65 rms_diff = math.sqrt( 66 sum([pow(rgb0[i] - rgb1[i], 2.0) for i in range(3)]) / 3.0) 67 msg = "RMS difference: %.4f, spec: %.3f" % (rms_diff, 68 THRESHOLD_MAX_RMS_DIFF) 69 print msg 70 assert rms_diff < THRESHOLD_MAX_RMS_DIFF, msg 71 72if __name__ == "__main__": 73 main() 74 75