test_jpeg.py revision 87b68b020dd72c4cdcf3b8c1f9196c060f947991 
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.device
17import its.objects
18import os.path
19import Image
20import shutil
21import numpy
22import math
23
24def main():
25    """Test that converted YUV images and device JPEG images look the same.
26    """
27    NAME = os.path.basename(__file__).split(".")[0]
28
29    THRESHOLD_MAX_RMS_DIFF = 0.1
30
31    req = its.objects.capture_request( {
32        "android.control.mode": 0,
33        "android.control.aeMode": 0,
34        "android.control.awbMode": 0,
35        "android.control.afMode": 0,
36        "android.sensor.frameDuration": 0,
37        "android.sensor.sensitivity": 100,
38        "android.sensor.exposureTime": 10*1000*1000
39        })
40
41    with its.device.ItsSession() as cam:
42        props = cam.get_camera_properties()
43
44        # YUV
45        size = props['android.scaler.availableProcessedSizes'][0]
46        req["outputSurface"] = size
47        req["outputSurface"]["format"] = "yuv"
48        fname, w, h, cap_md = cam.do_capture(req)
49        img = its.image.load_yuv420_to_rgb_image(fname, w, h)
50        its.image.write_image(img, "%s_fmt=yuv.jpg" % (NAME))
51        tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1)
52        rgb0 = its.image.compute_image_means(tile)
53
54        # JPEG
55        size = props['android.scaler.availableJpegSizes'][0]
56        req["outputSurface"] = size
57        req["outputSurface"]["format"] = "jpg"
58        fname, w, h, cap_md = cam.do_capture(req)
59        img = numpy.array(Image.open(fname)).reshape(w,h,3) / 255.0
60        tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1)
61        rgb1 = its.image.compute_image_means(tile)
62        shutil.copy2(fname, "%s_fmt=jpg.jpg" % (NAME))
63
64        rms_diff = math.sqrt(
65                sum([pow(rgb0[i] - rgb1[i], 2.0) for i in range(3)]) / 3.0)
66        print "RMS difference:", rms_diff
67        assert(rms_diff < THRESHOLD_MAX_RMS_DIFF)
68
69if __name__ == '__main__':
70    main()
71
72