| # 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 os.path |
| |
| import its.caps |
| import its.device |
| import its.image |
| import its.objects |
| import matplotlib |
| from matplotlib import pylab |
| |
| NAME = os.path.basename(__file__).split(".")[0] |
| |
| |
| def main(): |
| """Test that the device will produce full black+white images.""" |
| |
| r_means = [] |
| g_means = [] |
| b_means = [] |
| |
| with its.device.ItsSession() as cam: |
| props = cam.get_camera_properties() |
| its.caps.skip_unless(its.caps.manual_sensor(props)) |
| sync_latency = its.caps.sync_latency(props) |
| |
| debug = its.caps.debug_mode() |
| largest_yuv = its.objects.get_largest_yuv_format(props) |
| if debug: |
| fmt = largest_yuv |
| else: |
| match_ar = (largest_yuv["width"], largest_yuv["height"]) |
| fmt = its.objects.get_smallest_yuv_format(props, match_ar=match_ar) |
| |
| 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. |
| req = its.objects.manual_capture_request(sens_range[0], expt_range[0]) |
| cap = its.device.do_capture_with_latency(cam, req, sync_latency, fmt) |
| 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 |
| r_exp = cap["metadata"]["android.sensor.exposureTime"] |
| r_iso = cap["metadata"]["android.sensor.sensitivity"] |
| print "Black shot write values: sens = %d, exp time = %.4fms" % ( |
| sens_range[0], expt_range[0]/1000000.0) |
| print "Black shot read values: sens = %d, exp time = %.4fms\n" % ( |
| r_iso, r_exp/1000000.0) |
| |
| # Take a shot with very high ISO and exposure time. Expect it to |
| # be white. |
| req = its.objects.manual_capture_request(sens_range[1], expt_range[1]) |
| cap = its.device.do_capture_with_latency(cam, req, sync_latency, fmt) |
| 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 |
| r_exp = cap["metadata"]["android.sensor.exposureTime"] |
| r_iso = cap["metadata"]["android.sensor.sensitivity"] |
| print "White shot write values: sens = %d, exp time = %.2fms" % ( |
| sens_range[1], expt_range[1]/1000000.0) |
| print "White shot read values: sens = %d, exp time = %.2fms\n" % ( |
| r_iso, r_exp/1000000.0) |
| |
| # Draw a plot. |
| pylab.title("test_black_white") |
| pylab.plot([0, 1], r_means, "-ro") |
| pylab.plot([0, 1], g_means, "-go") |
| pylab.plot([0, 1], b_means, "-bo") |
| pylab.xlabel("Capture Number") |
| pylab.ylabel("Output Values (Normalized)") |
| pylab.ylim([0, 1]) |
| matplotlib.pyplot.savefig("%s_plot_means.png" % (NAME)) |
| |
| for black_mean in black_means: |
| assert black_mean < 0.025 |
| for white_mean in white_means: |
| assert white_mean > 0.975 |
| |
| if __name__ == "__main__": |
| main() |
| |