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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
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 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        if not its.caps.compute_target_exposure(props):
33            print "Test skipped"
34            return
35
36        e, s = its.target.get_target_exposure_combos(cam)["midExposureTime"]
37        req = its.objects.manual_capture_request(s, e, True)
38
39        # YUV
40        size = its.objects.get_available_output_sizes("yuv", props)[0]
41        out_surface = {"width":size[0], "height":size[1], "format":"yuv"}
42        cap = cam.do_capture(req, out_surface)
43        img = its.image.convert_capture_to_rgb_image(cap)
44        its.image.write_image(img, "%s_fmt=yuv.jpg" % (NAME))
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        # JPEG
49        size = its.objects.get_available_output_sizes("jpg", props)[0]
50        out_surface = {"width":size[0], "height":size[1], "format":"jpg"}
51        cap = cam.do_capture(req, out_surface)
52        img = its.image.decompress_jpeg_to_rgb_image(cap["data"])
53        its.image.write_image(img, "%s_fmt=jpg.jpg" % (NAME))
54        tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1)
55        rgb1 = its.image.compute_image_means(tile)
56
57        rms_diff = math.sqrt(
58                sum([pow(rgb0[i] - rgb1[i], 2.0) for i in range(3)]) / 3.0)
59        print "RMS difference:", rms_diff
60        assert(rms_diff < THRESHOLD_MAX_RMS_DIFF)
61
62if __name__ == '__main__':
63    main()
64
65