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Diffstat (limited to 'apps/CameraITS/tests/scene1/test_black_white.py')
-rw-r--r-- | apps/CameraITS/tests/scene1/test_black_white.py | 86 |
1 files changed, 0 insertions, 86 deletions
diff --git a/apps/CameraITS/tests/scene1/test_black_white.py b/apps/CameraITS/tests/scene1/test_black_white.py deleted file mode 100644 index e471602..0000000 --- a/apps/CameraITS/tests/scene1/test_black_white.py +++ /dev/null @@ -1,86 +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 pylab -import os.path -import matplotlib -import matplotlib.pyplot - -def main(): - """Test that the device will produce full black+white images. - """ - NAME = os.path.basename(__file__).split(".")[0] - - r_means = [] - g_means = [] - b_means = [] - - with its.device.ItsSession() as cam: - props = cam.get_camera_properties() - if not its.caps.manual_sensor(props): - print "Test skipped" - return - - expt_range = props['android.sensor.info.exposureTimeRange'] - sens_range = props['android.sensor.info.sensitivityRange'] - - # Take a shot with very low ISO and exposure time. Expect it to - # be black. - print "Black shot: sens = %d, exp time = %.4fms" % ( - sens_range[0], expt_range[0]/1000000.0) - req = its.objects.manual_capture_request(sens_range[0], expt_range[0]) - cap = cam.do_capture(req) - img = its.image.convert_capture_to_rgb_image(cap) - its.image.write_image(img, "%s_black.jpg" % (NAME)) - tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) - black_means = its.image.compute_image_means(tile) - r_means.append(black_means[0]) - g_means.append(black_means[1]) - b_means.append(black_means[2]) - print "Dark pixel means:", black_means - - # Take a shot with very high ISO and exposure time. Expect it to - # be white. - print "White shot: sens = %d, exp time = %.2fms" % ( - sens_range[1], expt_range[1]/1000000.0) - req = its.objects.manual_capture_request(sens_range[1], expt_range[1]) - cap = cam.do_capture(req) - img = its.image.convert_capture_to_rgb_image(cap) - its.image.write_image(img, "%s_white.jpg" % (NAME)) - tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) - white_means = its.image.compute_image_means(tile) - r_means.append(white_means[0]) - g_means.append(white_means[1]) - b_means.append(white_means[2]) - print "Bright pixel means:", white_means - - # Draw a plot. - pylab.plot([0,1], r_means, 'r') - pylab.plot([0,1], g_means, 'g') - pylab.plot([0,1], b_means, 'b') - pylab.ylim([0,1]) - matplotlib.pyplot.savefig("%s_plot_means.png" % (NAME)) - - for val in black_means: - assert(val < 0.025) - for val in white_means: - assert(val > 0.975) - -if __name__ == '__main__': - main() - |