1 files changed, 0 insertions, 79 deletions
diff --git a/apps/CameraITS/tests/scene1/test_raw_sensitivity.py b/apps/CameraITS/tests/scene1/test_raw_sensitivity.py
deleted file mode 100644
index 8e36219..0000000
--- a/apps/CameraITS/tests/scene1/test_raw_sensitivity.py
+++ /dev/null
@@ -1,79 +0,0 @@
-# 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.device
-import its.caps
-import its.objects
-import its.image
-import os.path
-import pylab
-import matplotlib
-import matplotlib.pyplot
-
-def main():
-    """Capture a set of raw images with increasing gains and measure the noise.
-    """
-    NAME = os.path.basename(__file__).split(".")[0]
-
-    # Each shot must be 1% noisier (by the variance metric) than the previous
-    # one.
-    VAR_THRESH = 1.01
-
-    NUM_STEPS = 5
-
-    with its.device.ItsSession() as cam:
-
-        props = cam.get_camera_properties()
-        if (not its.caps.raw16(props) or
-            not its.caps.manual_sensor(props) or
-            not its.caps.read_3a(props)):
-            print "Test skipped"
-            return
-
-        # Expose for the scene with min sensitivity
-        sens_min, sens_max = props['android.sensor.info.sensitivityRange']
-        sens_step = (sens_max - sens_min) / NUM_STEPS
-        s_ae,e_ae,_,_,_  = cam.do_3a(get_results=True)
-        s_e_prod = s_ae * e_ae
-
-        variances = []
-        for s in range(sens_min, sens_max, sens_step):
-
-            e = int(s_e_prod / float(s))
-            req = its.objects.manual_capture_request(s, e)
-
-            # Capture raw+yuv, but only look at the raw.
-            cap,_ = cam.do_capture(req, cam.CAP_RAW_YUV)
-
-            # Measure the variance. Each shot should be noisier than the
-            # previous shot (as the gain is increasing).
-            plane = its.image.convert_capture_to_planes(cap, props)[1]
-            tile = its.image.get_image_patch(plane, 0.45,0.45,0.1,0.1)
-            var = its.image.compute_image_variances(tile)[0]
-            variances.append(var)
-
-            img = its.image.convert_capture_to_rgb_image(cap, props=props)
-            its.image.write_image(img, "%s_s=%05d_var=%f.jpg" % (NAME,s,var))
-            print "s=%d, e=%d, var=%e"%(s,e,var)
-
-        pylab.plot(range(len(variances)), variances)
-        matplotlib.pyplot.savefig("%s_variances.png" % (NAME))
-
-        # Test that each shot is noisier than the previous one.
-        for i in range(len(variances) - 1):
-            assert(variances[i] < variances[i+1] / VAR_THRESH)
-
-if __name__ == '__main__':
-    main()
-