89 lines
3.5 KiB
Python
89 lines
3.5 KiB
Python
# Copyright 2013 The Android Open Source Project
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import its.image
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import its.caps
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import its.device
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import its.objects
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import its.target
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import pylab
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import os.path
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import matplotlib
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import matplotlib.pyplot
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def main():
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"""Test that settings latch on the right frame.
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Takes a bunch of shots using back-to-back requests, varying the capture
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request parameters between shots. Checks that the images that come back
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have the expected properties.
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"""
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NAME = os.path.basename(__file__).split(".")[0]
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with its.device.ItsSession() as cam:
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props = cam.get_camera_properties()
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its.caps.skip_unless(its.caps.full_or_better(props))
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_,fmt = its.objects.get_fastest_manual_capture_settings(props)
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e, s = its.target.get_target_exposure_combos(cam)["midExposureTime"]
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e /= 2.0
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r_means = []
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g_means = []
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b_means = []
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reqs = [
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its.objects.manual_capture_request(s, e, 0.0, True, props),
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its.objects.manual_capture_request(s, e, 0.0, True, props),
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its.objects.manual_capture_request(s*2,e, 0.0, True, props),
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its.objects.manual_capture_request(s*2,e, 0.0, True, props),
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its.objects.manual_capture_request(s, e, 0.0, True, props),
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its.objects.manual_capture_request(s, e, 0.0, True, props),
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its.objects.manual_capture_request(s, e*2, 0.0, True, props),
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its.objects.manual_capture_request(s, e, 0.0, True, props),
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its.objects.manual_capture_request(s*2,e, 0.0, True, props),
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its.objects.manual_capture_request(s, e, 0.0, True, props),
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its.objects.manual_capture_request(s, e*2, 0.0, True, props),
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its.objects.manual_capture_request(s, e, 0.0, True, props),
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its.objects.manual_capture_request(s, e*2, 0.0, True, props),
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its.objects.manual_capture_request(s, e*2, 0.0, True, props),
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]
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caps = cam.do_capture(reqs, fmt)
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for i,cap in enumerate(caps):
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img = its.image.convert_capture_to_rgb_image(cap)
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its.image.write_image(img, "%s_i=%02d.jpg" % (NAME, i))
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tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1)
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rgb_means = its.image.compute_image_means(tile)
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r_means.append(rgb_means[0])
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g_means.append(rgb_means[1])
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b_means.append(rgb_means[2])
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# Draw a plot.
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idxs = range(len(r_means))
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pylab.plot(idxs, r_means, 'r')
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pylab.plot(idxs, g_means, 'g')
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pylab.plot(idxs, b_means, 'b')
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pylab.ylim([0,1])
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matplotlib.pyplot.savefig("%s_plot_means.png" % (NAME))
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g_avg = sum(g_means) / len(g_means)
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g_ratios = [g / g_avg for g in g_means]
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g_hilo = [g>1.0 for g in g_ratios]
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assert(g_hilo == [False, False, True, True, False, False, True,
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False, True, False, True, False, True, True])
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if __name__ == '__main__':
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main()
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