CameraITS: Restructured test folders to group by scenes.

Change-Id: I3dc66bd44569f4416826d7f23b4e63533058bd3f

1 files changed, 72 insertions, 0 deletions

diff --git a/apps/CameraITS/tests/scene1/test_param_sensitivity.py b/apps/CameraITS/tests/scene1/test_param_sensitivity.py
new file mode 100644
index 0000000..43aec76
--- /dev/null
+++ b/apps/CameraITS/tests/scene1/test_param_sensitivity.py
@@ -0,0 +1,72 @@
+# Copyright 2013 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 its.target
+import pylab
+import os.path
+import matplotlib
+import matplotlib.pyplot
+
+def main():
+    """Test that the android.sensor.sensitivity parameter is applied.
+    """
+    NAME = os.path.basename(__file__).split(".")[0]
+
+    # Pass/fail threshold.
+    THRESHOLD_MIN_DIFF = 0.02
+
+    NUM_STEPS = 5
+
+    sensitivities = None
+    r_means = []
+    g_means = []
+    b_means = []
+
+    with its.device.ItsSession() as cam:
+        expt,_ = its.target.get_target_exposure_combos(cam)["midSensitivity"]
+        props = cam.get_camera_properties()
+        sens_range = props['android.sensor.info.sensitivityRange']
+        sens_step = (sens_range[1] - sens_range[0]) / float(NUM_STEPS-1)
+        sensitivities = [sens_range[0] + i * sens_step for i in range(NUM_STEPS)]
+
+        for s in sensitivities:
+            req = its.objects.manual_capture_request(s, expt)
+            cap = cam.do_capture(req)
+            img = its.image.convert_capture_to_rgb_image(cap)
+            its.image.write_image(
+                    img, "%s_iso=%04d.jpg" % (NAME, s))
+            tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1)
+            rgb_means = its.image.compute_image_means(tile)
+            r_means.append(rgb_means[0])
+            g_means.append(rgb_means[1])
+            b_means.append(rgb_means[2])
+
+    # Draw a plot.
+    pylab.plot(sensitivities, r_means, 'r')
+    pylab.plot(sensitivities, g_means, 'g')
+    pylab.plot(sensitivities, b_means, 'b')
+    pylab.ylim([0,1])
+    matplotlib.pyplot.savefig("%s_plot_means.png" % (NAME))
+
+    # Test for pass/fail: check that each shot is brighter than the previous.
+    for means in [r_means, g_means, b_means]:
+        for i in range(len(means)-1):
+            assert(means[i+1] - means[i] > THRESHOLD_MIN_DIFF)
+
+if __name__ == '__main__':
+    main()
+