1 files changed, 0 insertions, 91 deletions
diff --git a/apps/CameraITS/tests/inprog/test_burst_sameness_fullres_auto.py b/apps/CameraITS/tests/inprog/test_burst_sameness_fullres_auto.py
deleted file mode 100644
index a8d1d45..0000000
--- a/apps/CameraITS/tests/inprog/test_burst_sameness_fullres_auto.py
+++ /dev/null
@@ -1,91 +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.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 = 6
-    BURSTS = 2
-    FRAMES = BURST_LEN * BURSTS
-
-    DELTA_THRESH = 0.1
-
-    with its.device.ItsSession() as cam:
-
-        # Capture at full resolution.
-        props = cam.get_camera_properties()
-        w,h = its.objects.get_available_output_sizes("yuv", props)[0]
-
-        # 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.
-        # Build a 4D array, which is an array of all RGB images after down-
-        # scaling them by a factor of 4x4.
-        imgs = numpy.empty([FRAMES,h/4,w/4,3])
-        for j in range(BURSTS):
-            caps = cam.do_capture([req]*BURST_LEN)
-            for i,cap in enumerate(caps):
-                n = j*BURST_LEN + i
-                imgs[n] = its.image.downscale_image(
-                        its.image.convert_capture_to_rgb_image(cap), 4)
-
-        # 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*3/16)
-            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()
-