1 files changed, 0 insertions, 71 deletions
diff --git a/apps/CameraITS/tests/inprog/test_ev_compensation.py b/apps/CameraITS/tests/inprog/test_ev_compensation.py
deleted file mode 100644
index f9b0cd3..0000000
--- a/apps/CameraITS/tests/inprog/test_ev_compensation.py
+++ /dev/null
@@ -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.device
-import its.objects
-import os.path
-import pylab
-import matplotlib
-import matplotlib.pyplot
-import numpy
-
-def main():
-    """Tests that EV compensation is applied.
-    """
-    NAME = os.path.basename(__file__).split(".")[0]
-
-    MAX_LUMA_DELTA_THRESH = 0.01
-    AVG_LUMA_DELTA_THRESH = 0.001
-
-    with its.device.ItsSession() as cam:
-        props = cam.get_camera_properties()
-        cam.do_3a()
-
-        # Capture auto shots, but with a linear tonemap.
-        req = its.objects.auto_capture_request()
-        req["android.tonemap.mode"] = 0
-        req["android.tonemap.curveRed"] = (0.0, 0.0, 1.0, 1.0)
-        req["android.tonemap.curveGreen"] = (0.0, 0.0, 1.0, 1.0)
-        req["android.tonemap.curveBlue"] = (0.0, 0.0, 1.0, 1.0)
-
-        evs = range(-4,5)
-        lumas = []
-        for ev in evs:
-            req['android.control.aeExposureCompensation'] = ev
-            cap = cam.do_capture(req)
-            y = its.image.convert_capture_to_planes(cap)[0]
-            tile = its.image.get_image_patch(y, 0.45,0.45,0.1,0.1)
-            lumas.append(its.image.compute_image_means(tile)[0])
-
-        ev_step_size_in_stops = its.objects.rational_to_float(
-                props['android.control.aeCompensationStep'])
-        luma_increase_per_step = pow(2, ev_step_size_in_stops)
-        expected_lumas = [lumas[0] * pow(luma_increase_per_step, i) \
-                for i in range(len(evs))]
-
-        pylab.plot(evs, lumas, 'r')
-        pylab.plot(evs, expected_lumas, 'b')
-        matplotlib.pyplot.savefig("%s_plot_means.png" % (NAME))
-
-        luma_diffs = [expected_lumas[i] - lumas[i] for i in range(len(evs))]
-        max_diff = max(luma_diffs)
-        avg_diff = sum(luma_diffs) / len(luma_diffs)
-        print "Max delta between modeled and measured lumas:", max_diff
-        print "Avg delta between modeled and measured lumas:", avg_diff
-        assert(max_diff < MAX_LUMA_DELTA_THRESH)
-        assert(avg_diff < AVG_LUMA_DELTA_THRESH)
-
-if __name__ == '__main__':
-    main()