CameraITS: Simplified test for 3A lock + YUV burst

Bug: 17994909

Change-Id: I5df394d5db2087c10f259f741ac367aaabe16667

1 files changed, 93 insertions, 0 deletions

diff --git a/apps/CameraITS/tests/inprog/test_burst_sameness_auto.py b/apps/CameraITS/tests/inprog/test_burst_sameness_auto.py
new file mode 100644
index 0000000..f3d49be
--- /dev/null
+++ b/apps/CameraITS/tests/inprog/test_burst_sameness_auto.py
@@ -0,0 +1,93 @@
+# 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():
+    """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 = 5
+    FRAMES = BURST_LEN * BURSTS
+
+    SPREAD_THRESH = 0.03
+
+    with its.device.ItsSession() as cam:
+
+        # Capture at the smallest resolution.
+        props = cam.get_camera_properties()
+        if not its.caps.manual_sensor(props):
+            print "Test skipped"
+            return
+
+        _, fmt = its.objects.get_fastest_manual_capture_settings(props)
+        w,h = fmt["width"], fmt["height"]
+
+        # Converge 3A prior to capture.
+        cam.do_3a(lock_ae=True, lock_awb=True)
+
+        # After 3A has converged, lock AE+AWB for the duration of the test.
+        req = its.objects.auto_capture_request()
+        req["android.blackLevel.lock"] = True
+        req["android.control.awbLock"] = True
+        req["android.control.aeLock"] = True
+
+        # Capture bursts of YUV shots.
+        # Get the mean values of a center patch for each.
+        # Also build a 4D array, which is an array of all RGB images.
+        r_means = []
+        g_means = []
+        b_means = []
+        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)
+                tile = its.image.get_image_patch(imgs[n], 0.45, 0.45, 0.1, 0.1)
+                means = its.image.compute_image_means(tile)
+                r_means.append(means[0])
+                g_means.append(means[1])
+                b_means.append(means[2])
+
+        # 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))
+
+        # Pass/fail based on center patch similarity.
+        for means in [r_means, g_means, b_means]:
+            spread = max(means) - min(means)
+            print spread
+            assert(spread < SPREAD_THRESH)
+
+if __name__ == '__main__':
+    main()
+