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 its.image
16import its.caps
17import its.device
18import its.objects
19import its.target
20import os.path
21import math
22
23def 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
63if __name__ == '__main__':
64    main()
65
66