1 files changed, 0 insertions, 67 deletions
diff --git a/apps/CameraITS/tests/scene0/test_jitter.py b/apps/CameraITS/tests/scene0/test_jitter.py
deleted file mode 100644
index 29b3047..0000000
--- a/apps/CameraITS/tests/scene0/test_jitter.py
+++ /dev/null
@@ -1,67 +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 pylab
-import matplotlib
-import matplotlib.pyplot
-
-def main():
-    """Measure jitter in camera timestamps.
-    """
-    NAME = os.path.basename(__file__).split(".")[0]
-
-    # Pass/fail thresholds
-    MIN_AVG_FRAME_DELTA = 30 # at least 30ms delta between frames
-    MAX_VAR_FRAME_DELTA = 0.01 # variance of frame deltas
-    MAX_FRAME_DELTA_JITTER = 0.3 # max ms gap from the average frame delta
-
-    with its.device.ItsSession() as cam:
-        props = cam.get_camera_properties()
-        if not its.caps.manual_sensor(props):
-            print "Test skipped"
-            return
-
-        req, fmt = its.objects.get_fastest_manual_capture_settings(props)
-        caps = cam.do_capture([req]*50, [fmt])
-
-        # Print out the millisecond delta between the start of each exposure
-        tstamps = [c['metadata']['android.sensor.timestamp'] for c in caps]
-        deltas = [tstamps[i]-tstamps[i-1] for i in range(1,len(tstamps))]
-        deltas_ms = [d/1000000.0 for d in deltas]
-        avg = sum(deltas_ms) / len(deltas_ms)
-        var = sum([d*d for d in deltas_ms]) / len(deltas_ms) - avg * avg
-        range0 = min(deltas_ms) - avg
-        range1 = max(deltas_ms) - avg
-        print "Average:", avg
-        print "Variance:", var
-        print "Jitter range:", range0, "to", range1
-
-        # Draw a plot.
-        pylab.plot(range(len(deltas_ms)), deltas_ms)
-        matplotlib.pyplot.savefig("%s_deltas.png" % (NAME))
-
-        # Test for pass/fail.
-        assert(avg > MIN_AVG_FRAME_DELTA)
-        assert(var < MAX_VAR_FRAME_DELTA)
-        assert(abs(range0) < MAX_FRAME_DELTA_JITTER)
-        assert(abs(range1) < MAX_FRAME_DELTA_JITTER)
-
-if __name__ == '__main__':
-    main()
-