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      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 RAW 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.raw16(props) and
     34                              its.caps.per_frame_control(props))
     35 
     36         # Use a manual request with a linear tonemap so that the YUV and RAW
     37         # should look the same (once converted by the its.image module).
     38         e, s = its.target.get_target_exposure_combos(cam)["midExposureTime"]
     39         req = its.objects.manual_capture_request(s, e, True)
     40 
     41         cap_raw, cap_yuv = cam.do_capture(req, cam.CAP_RAW_YUV)
     42 
     43         img = its.image.convert_capture_to_rgb_image(cap_yuv)
     44         its.image.write_image(img, "%s_yuv.jpg" % (NAME), True)
     45         tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1)
     46         rgb0 = its.image.compute_image_means(tile)
     47 
     48         # Raw shots are 1/2 x 1/2 smaller after conversion to RGB, so scale the
     49         # tile appropriately.
     50         img = its.image.convert_capture_to_rgb_image(cap_raw, props=props)
     51         its.image.write_image(img, "%s_raw.jpg" % (NAME), True)
     52         tile = its.image.get_image_patch(img, 0.475, 0.475, 0.05, 0.05)
     53         rgb1 = its.image.compute_image_means(tile)
     54 
     55         rms_diff = math.sqrt(
     56                 sum([pow(rgb0[i] - rgb1[i], 2.0) for i in range(3)]) / 3.0)
     57         print "RMS difference:", rms_diff
     58         assert(rms_diff < THRESHOLD_MAX_RMS_DIFF)
     59 
     60 if __name__ == '__main__':
     61     main()
     62 
     63