1 files changed, 0 insertions, 100 deletions
diff --git a/apps/CameraITS/tests/scene1/test_param_noise_reduction.py b/apps/CameraITS/tests/scene1/test_param_noise_reduction.py
deleted file mode 100644
index 618f8a7..0000000
--- a/apps/CameraITS/tests/scene1/test_param_noise_reduction.py
+++ /dev/null
@@ -1,100 +0,0 @@
-# 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.caps
-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.noiseReduction.mode param is applied when set.
-
-    Capture images with the camera dimly lit. Uses a high analog gain to
-    ensure the captured image is noisy.
-
-    Captures three images, for NR off, "fast", and "high quality".
-    Also captures an image with low gain and NR off, and uses the variance
-    of this as the baseline.
-    """
-    NAME = os.path.basename(__file__).split(".")[0]
-
-    # List of variances for Y,U,V.
-    variances = [[],[],[]]
-
-    # Reference (baseline) variance for each of Y,U,V.
-    ref_variance = []
-
-    nr_modes_reported = []
-
-    with its.device.ItsSession() as cam:
-        props = cam.get_camera_properties()
-        if not its.caps.compute_target_exposure(props):
-            print "Test skipped"
-            return
-
-        # NR mode 0 with low gain
-        e, s = its.target.get_target_exposure_combos(cam)["minSensitivity"]
-        req = its.objects.manual_capture_request(s, e)
-        req["android.noiseReduction.mode"] = 0
-        cap = cam.do_capture(req)
-        its.image.write_image(
-                its.image.convert_capture_to_rgb_image(cap),
-                "%s_low_gain.jpg" % (NAME))
-        planes = its.image.convert_capture_to_planes(cap)
-        for j in range(3):
-            img = planes[j]
-            tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1)
-            ref_variance.append(its.image.compute_image_variances(tile)[0])
-        print "Ref variances:", ref_variance
-
-        for i in range(3):
-            # NR modes 0, 1, 2 with high gain
-            e, s = its.target.get_target_exposure_combos(cam)["maxSensitivity"]
-            req = its.objects.manual_capture_request(s, e)
-            req["android.noiseReduction.mode"] = i
-            cap = cam.do_capture(req)
-            nr_modes_reported.append(
-                    cap["metadata"]["android.noiseReduction.mode"])
-            its.image.write_image(
-                    its.image.convert_capture_to_rgb_image(cap),
-                    "%s_high_gain_nr=%d.jpg" % (NAME, i))
-            planes = its.image.convert_capture_to_planes(cap)
-            for j in range(3):
-                img = planes[j]
-                tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1)
-                variance = its.image.compute_image_variances(tile)[0]
-                variances[j].append(variance / ref_variance[j])
-        print "Variances with NR mode [0,1,2]:", variances
-
-    # Draw a plot.
-    for j in range(3):
-        pylab.plot(range(3), variances[j], "rgb"[j])
-    matplotlib.pyplot.savefig("%s_plot_variances.png" % (NAME))
-
-    assert(nr_modes_reported == [0,1,2])
-
-    # Check that the variance of the NR=0 image is higher than for the
-    # NR=1 and NR=2 images.
-    for j in range(3):
-        for i in range(1,3):
-            assert(variances[j][i] < variances[j][0])
-
-if __name__ == '__main__':
-    main()
-