CameraITS: Added test for sameness of long bursts of images

Change-Id: I6700d66a394b6bbeca625db071ad4c8198671b3f

1 files changed, 85 insertions, 0 deletions

diff --git a/apps/CameraITS/tests/scene1/test_burst_sameness.py b/apps/CameraITS/tests/scene1/test_burst_sameness.py
new file mode 100644
index 0000000..e4b37be
--- /dev/null
+++ b/apps/CameraITS/tests/scene1/test_burst_sameness.py
@@ -0,0 +1,85 @@
+# 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 numpy
+import pylab
+import matplotlib
+import matplotlib.pyplot
+
+def main():
+    """Take long bursts of images and check that they're all identical.
+
+    Assumes a static scene. Can be used to idenfity if there are sporadic
+    frames that are processed differently or have artifacts, or if 3A isn't
+    stable, since this test converges 3A at the start but doesn't lock 3A
+    throughout capture.
+    """
+    NAME = os.path.basename(__file__).split(".")[0]
+
+    BURST_LEN = 50
+    BURSTS = 10
+    FRAMES = BURST_LEN * BURSTS
+
+    DELTA_THRESH = 0.1
+
+    with its.device.ItsSession() as cam:
+
+        # Capture at the smallest resolution.
+        props = cam.get_camera_properties()
+        _, fmt = its.objects.get_fastest_manual_capture_settings(props)
+        req = its.objects.auto_capture_request()
+        w,h = fmt["width"], fmt["height"]
+
+        # Converge 3A prior to capture.
+        cam.do_3a()
+
+        # Capture bursts of YUV shots.
+        # Build a 4D array, which is an array of all RGB images.
+        imgs = numpy.empty([FRAMES,h,w,3])
+        for j in range(BURSTS):
+            caps = cam.do_capture([req]*BURST_LEN, [fmt])
+            for i,cap in enumerate(caps):
+                n = j*BURST_LEN + i
+                imgs[n] = its.image.convert_capture_to_rgb_image(cap)
+
+        # Dump all images.
+        print "Dumping images"
+        for i in range(FRAMES):
+            its.image.write_image(imgs[i], "%s_frame%03d.jpg"%(NAME,i))
+
+        # The mean image.
+        img_mean = imgs.mean(0)
+        its.image.write_image(img_mean, "%s_mean.jpg"%(NAME))
+
+        # Compute the deltas of each image from the mean image; this test
+        # passes if none of the deltas are large.
+        print "Computing frame differences"
+        delta_maxes = []
+        for i in range(FRAMES):
+            deltas = (imgs[i] - img_mean).reshape(h*w*3)
+            delta_max_pos = numpy.max(deltas)
+            delta_max_neg = numpy.min(deltas)
+            delta_maxes.append(max(abs(delta_max_pos), abs(delta_max_neg)))
+        max_delta_max = max(delta_maxes)
+        print "Frame %d has largest diff %f" % (
+                delta_maxes.index(max_delta_max), max_delta_max)
+        assert(max_delta_max < DELTA_THRESH)
+
+if __name__ == '__main__':
+    main()
+