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-rw-r--r--apps/CameraITS/tests/scene1/test_tonemap_sequence.py71
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diff --git a/apps/CameraITS/tests/scene1/test_tonemap_sequence.py b/apps/CameraITS/tests/scene1/test_tonemap_sequence.py
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--- a/apps/CameraITS/tests/scene1/test_tonemap_sequence.py
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@@ -1,71 +0,0 @@
-# Copyright 2014 The Android Open Source Project
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import its.image
-import its.caps
-import its.device
-import its.objects
-import os.path
-import numpy
-
-def main():
- """Test a sequence of shots with different tonemap curves.
- """
- NAME = os.path.basename(__file__).split(".")[0]
-
- # There should be 3 identical frames followed by a different set of
- # 3 identical frames.
- MAX_SAME_DELTA = 0.01
- MIN_DIFF_DELTA = 0.10
-
- with its.device.ItsSession() as cam:
- props = cam.get_camera_properties()
- if (not its.caps.manual_sensor(props) or
- not its.caps.manual_post_proc(props)):
- print "Test skipped"
- return
-
- sens, exp_time, _,_,_ = cam.do_3a(do_af=False,get_results=True)
-
- means = []
-
- # Capture 3 manual shots with a linear tonemap.
- req = its.objects.manual_capture_request(sens, exp_time, True)
- for i in [0,1,2]:
- cap = cam.do_capture(req)
- img = its.image.convert_capture_to_rgb_image(cap)
- its.image.write_image(img, "%s_i=%d.jpg" % (NAME, i))
- tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1)
- means.append(tile.mean(0).mean(0))
-
- # Capture 3 manual shots with the default tonemap.
- req = its.objects.manual_capture_request(sens, exp_time, False)
- for i in [3,4,5]:
- cap = cam.do_capture(req)
- img = its.image.convert_capture_to_rgb_image(cap)
- its.image.write_image(img, "%s_i=%d.jpg" % (NAME, i))
- tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1)
- means.append(tile.mean(0).mean(0))
-
- # Compute the delta between each consecutive frame pair.
- deltas = [numpy.max(numpy.fabs(means[i+1]-means[i])) \
- for i in range(len(means)-1)]
- print "Deltas between consecutive frames:", deltas
-
- assert(all([abs(deltas[i]) < MAX_SAME_DELTA for i in [0,1,3,4]]))
- assert(abs(deltas[2]) > MIN_DIFF_DELTA)
-
-if __name__ == '__main__':
- main()
-