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Diffstat (limited to 'apps/CameraITS/tests/inprog/test_black_level.py')
| -rw-r--r-- | apps/CameraITS/tests/inprog/test_black_level.py | 99 |
1 files changed, 0 insertions, 99 deletions
diff --git a/apps/CameraITS/tests/inprog/test_black_level.py b/apps/CameraITS/tests/inprog/test_black_level.py deleted file mode 100644 index 37dab94..0000000 --- a/apps/CameraITS/tests/inprog/test_black_level.py +++ /dev/null @@ -1,99 +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.device -import its.objects -import pylab -import os.path -import matplotlib -import matplotlib.pyplot -import numpy - -def main(): - """Black level consistence test. - - Test: capture dark frames and check if black level correction is done - correctly. - 1. Black level should be roughly consistent for repeating shots. - 2. Noise distribution should be roughly centered at black level. - - Shoot with the camera covered (i.e.) dark/black. The test varies the - sensitivity parameter. - """ - NAME = os.path.basename(__file__).split(".")[0] - - NUM_REPEAT = 3 - NUM_STEPS = 3 - - # Only check the center part where LSC has little effects. - R = 200 - - # The most frequent pixel value in each image; assume this is the black - # level, since the images are all dark (shot with the lens covered). - ymodes = [] - umodes = [] - vmodes = [] - - with its.device.ItsSession() as cam: - 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)] - print "Sensitivities:", sensitivities - - for si, s in enumerate(sensitivities): - for rep in xrange(NUM_REPEAT): - req = its.objects.manual_capture_request(100, 1*1000*1000) - req["android.blackLevel.lock"] = True - req["android.sensor.sensitivity"] = s - cap = cam.do_capture(req) - yimg,uimg,vimg = its.image.convert_capture_to_planes(cap) - w = cap["width"] - h = cap["height"] - - # Magnify the noise in saved images to help visualize. - its.image.write_image(yimg * 2, - "%s_s=%05d_y.jpg" % (NAME, s), True) - its.image.write_image(numpy.absolute(uimg - 0.5) * 2, - "%s_s=%05d_u.jpg" % (NAME, s), True) - - yimg = yimg[w/2-R:w/2+R, h/2-R:h/2+R] - uimg = uimg[w/4-R/2:w/4+R/2, w/4-R/2:w/4+R/2] - vimg = vimg[w/4-R/2:w/4+R/2, w/4-R/2:w/4+R/2] - yhist,_ = numpy.histogram(yimg*255, 256, (0,256)) - ymodes.append(numpy.argmax(yhist)) - uhist,_ = numpy.histogram(uimg*255, 256, (0,256)) - umodes.append(numpy.argmax(uhist)) - vhist,_ = numpy.histogram(vimg*255, 256, (0,256)) - vmodes.append(numpy.argmax(vhist)) - - # Take 32 bins from Y, U, and V. - # Histograms of U and V are cropped at the center of 128. - pylab.plot(range(32), yhist.tolist()[0:32], 'rgb'[si]) - pylab.plot(range(32), uhist.tolist()[112:144], 'rgb'[si]+'--') - pylab.plot(range(32), vhist.tolist()[112:144], 'rgb'[si]+'--') - - pylab.xlabel("DN: Y[0:32], U[112:144], V[112:144]") - pylab.ylabel("Pixel count") - pylab.title("Histograms for different sensitivities") - matplotlib.pyplot.savefig("%s_plot_histograms.png" % (NAME)) - - print "Y black levels:", ymodes - print "U black levels:", umodes - print "V black levels:", vmodes - -if __name__ == '__main__': - main() - |