CameraITS: Created scene0, added test_raw_sensitivity_burst.py.

Also added helper function to get the fastest legal capture settings,
for the scene0 tests to use.

Change-Id: I38a6da33645723a8119b12b6f752656ceb69d690

1 files changed, 62 insertions, 0 deletions

diff --git a/apps/CameraITS/tests/scene0/test_jitter.py b/apps/CameraITS/tests/scene0/test_jitter.py
new file mode 100644
index 0000000..0983816
--- /dev/null
+++ b/apps/CameraITS/tests/scene0/test_jitter.py
@@ -0,0 +1,62 @@
+# 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
+
+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()
+        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()
+