| # 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 |
| |
| def main(): |
| """Test that the android.noiseReduction.mode param is applied when set. |
| |
| Capture images with the camera dimly lit. Uses a long exposure |
| and a high analog gain to ensure the captured image is noisy. |
| |
| Captures three images, for NR off, "fast", and "high quality". |
| Also captures an image with low gain and NR off, and uses the variance |
| of this as the baseline. |
| """ |
| NAME = os.path.basename(__file__).split(".")[0] |
| |
| THRESHOLD_MIN_VARIANCE_RATIO = 0.7 |
| |
| req = its.objects.capture_request( { |
| "android.control.mode": 0, |
| "android.control.aeMode": 0, |
| "android.control.awbMode": 0, |
| "android.control.afMode": 0, |
| "android.sensor.frameDuration": 0 |
| }) |
| |
| # List of variances for Y,U,V. |
| variances = [[],[],[]] |
| |
| # Reference (baseline) variance for each of Y,U,V. |
| ref_variance = [] |
| |
| nr_modes_reported = [] |
| |
| with its.device.ItsSession() as cam: |
| # NR mode 0 with low gain |
| req["captureRequest"]["android.noiseReduction.mode"] = 0 |
| req["captureRequest"]["android.sensor.sensitivity"] = 100 |
| req["captureRequest"]["android.sensor.exposureTime"] = 20*1000*1000 |
| fname, w, h, md_obj = cam.do_capture(req) |
| its.image.write_image( |
| its.image.load_yuv420_to_rgb_image(fname, w, h), |
| "%s_low_gain.jpg" % (NAME)) |
| planes = its.image.load_yuv420_to_yuv_planes(fname, w, h) |
| for j in range(3): |
| img = planes[j] |
| tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) |
| ref_variance.append(its.image.compute_image_variances(tile)[0]) |
| |
| for i in range(3): |
| # NR modes 0, 1, 2 with high gain |
| req["captureRequest"]["android.noiseReduction.mode"] = i |
| req["captureRequest"]["android.sensor.sensitivity"] = 100*16 |
| req["captureRequest"]["android.sensor.exposureTime"] = ( |
| 20*1000*1000/16) |
| fname, w, h, md_obj = cam.do_capture(req) |
| nr_modes_reported.append( |
| md_obj["captureResult"]["android.noiseReduction.mode"]) |
| its.image.write_image( |
| its.image.load_yuv420_to_rgb_image(fname, w, h), |
| "%s_high_gain_nr=%d.jpg" % (NAME, i)) |
| planes = its.image.load_yuv420_to_yuv_planes(fname, w, h) |
| for j in range(3): |
| img = planes[j] |
| tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) |
| variance = its.image.compute_image_variances(tile)[0] |
| variances[j].append(variance / ref_variance[j]) |
| |
| # Draw a plot. |
| for j in range(3): |
| pylab.plot(range(3), variances[j], "rgb"[j]) |
| matplotlib.pyplot.savefig("%s_plot_variances.png" % (NAME)) |
| |
| assert(nr_modes_reported == [0,1,2]) |
| |
| # Check that the variance of the NR=0 image is much higher than for the |
| # NR=1 and NR=2 images. |
| for j in range(3): |
| for i in range(1,3): |
| assert(variances[j][i] / variances[j][0] < |
| THRESHOLD_MIN_VARIANCE_RATIO) |
| |
| if __name__ == '__main__': |
| main() |
| |