Home | History | Annotate | Download | only in inprog
      1 # Copyright 2013 The Android Open Source Project
      2 #
      3 # Licensed under the Apache License, Version 2.0 (the "License");
      4 # you may not use this file except in compliance with the License.
      5 # You may obtain a copy of the License at
      6 #
      7 #      http://www.apache.org/licenses/LICENSE-2.0
      8 #
      9 # Unless required by applicable law or agreed to in writing, software
     10 # distributed under the License is distributed on an "AS IS" BASIS,
     11 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     12 # See the License for the specific language governing permissions and
     13 # limitations under the License.
     14 
     15 import its.image
     16 import its.device
     17 import its.objects
     18 from matplotlib import pylab
     19 import os.path
     20 import matplotlib
     21 import matplotlib.pyplot
     22 
     23 def main():
     24     """Test that BLC and LSC look reasonable.
     25     """
     26     NAME = os.path.basename(__file__).split(".")[0]
     27 
     28     r_means_center = []
     29     g_means_center = []
     30     b_means_center = []
     31     r_means_corner = []
     32     g_means_corner = []
     33     b_means_corner = []
     34 
     35     with its.device.ItsSession() as cam:
     36         props = cam.get_camera_properties()
     37         expt_range = props['android.sensor.info.exposureTimeRange']
     38 
     39         # Get AE+AWB lock first, so the auto values in the capture result are
     40         # populated properly.
     41         r = [[0,0,1,1,1]]
     42         ae_sen,ae_exp,awb_gains,awb_transform,_ \
     43                 = cam.do_3a(r,r,r,do_af=False,get_results=True)
     44         print "AE:", ae_sen, ae_exp / 1000000.0
     45         print "AWB:", awb_gains, awb_transform
     46 
     47         # Set analog gain (sensitivity) to 800
     48         ae_exp = ae_exp * ae_sen / 800
     49         ae_sen = 800
     50 
     51         # Capture range of exposures from 1/100x to 4x of AE estimate.
     52         exposures = [ae_exp*x/100.0 for x in [1]+range(10,401,40)]
     53         exposures = [e for e in exposures
     54                      if e >= expt_range[0] and e <= expt_range[1]]
     55 
     56         # Convert the transform back to rational.
     57         awb_transform_rat = its.objects.float_to_rational(awb_transform)
     58 
     59         # Linear tonemap
     60         tmap = sum([[i/63.0,i/63.0] for i in range(64)], [])
     61 
     62         reqs = []
     63         for e in exposures:
     64             req = its.objects.manual_capture_request(ae_sen,e)
     65             req["android.tonemap.mode"] = 0
     66             req["android.tonemap.curve"] = {
     67                 "red": tmap, "green": tmap, "blue": tmap}
     68             req["android.colorCorrection.transform"] = awb_transform_rat
     69             req["android.colorCorrection.gains"] = awb_gains
     70             reqs.append(req)
     71 
     72         caps = cam.do_capture(reqs)
     73         for i,cap in enumerate(caps):
     74             img = its.image.convert_capture_to_rgb_image(cap)
     75             its.image.write_image(img, "%s_i=%d.jpg"%(NAME, i))
     76 
     77             tile_center = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1)
     78             rgb_means = its.image.compute_image_means(tile_center)
     79             r_means_center.append(rgb_means[0])
     80             g_means_center.append(rgb_means[1])
     81             b_means_center.append(rgb_means[2])
     82 
     83             tile_corner = its.image.get_image_patch(img, 0.0, 0.0, 0.1, 0.1)
     84             rgb_means = its.image.compute_image_means(tile_corner)
     85             r_means_corner.append(rgb_means[0])
     86             g_means_corner.append(rgb_means[1])
     87             b_means_corner.append(rgb_means[2])
     88 
     89     fig = matplotlib.pyplot.figure()
     90     pylab.plot(exposures, r_means_center, 'r')
     91     pylab.plot(exposures, g_means_center, 'g')
     92     pylab.plot(exposures, b_means_center, 'b')
     93     pylab.ylim([0,1])
     94     matplotlib.pyplot.savefig("%s_plot_means_center.png" % (NAME))
     95 
     96     fig = matplotlib.pyplot.figure()
     97     pylab.plot(exposures, r_means_corner, 'r')
     98     pylab.plot(exposures, g_means_corner, 'g')
     99     pylab.plot(exposures, b_means_corner, 'b')
    100     pylab.ylim([0,1])
    101     matplotlib.pyplot.savefig("%s_plot_means_corner.png" % (NAME))
    102 
    103 if __name__ == '__main__':
    104     main()
    105 
    106