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      1 # Copyright 2014 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.caps
     17 import its.device
     18 import its.objects
     19 import os.path
     20 import numpy
     21 
     22 def main():
     23     """Take long bursts of images and check that they're all identical.
     24 
     25     Assumes a static scene. Can be used to idenfity if there are sporadic
     26     frames that are processed differently or have artifacts, or if 3A isn't
     27     stable, since this test converges 3A at the start but doesn't lock 3A
     28     throughout capture.
     29     """
     30     NAME = os.path.basename(__file__).split(".")[0]
     31 
     32     BURST_LEN = 50
     33     BURSTS = 5
     34     FRAMES = BURST_LEN * BURSTS
     35 
     36     SPREAD_THRESH = 0.03
     37 
     38     with its.device.ItsSession() as cam:
     39 
     40         # Capture at the smallest resolution.
     41         props = cam.get_camera_properties()
     42         its.caps.skip_unless(its.caps.manual_sensor(props) and
     43                              its.caps.awb_lock(props))
     44 
     45         _, fmt = its.objects.get_fastest_manual_capture_settings(props)
     46         w,h = fmt["width"], fmt["height"]
     47 
     48         # Converge 3A prior to capture.
     49         cam.do_3a(lock_ae=True, lock_awb=True)
     50 
     51         # After 3A has converged, lock AE+AWB for the duration of the test.
     52         req = its.objects.fastest_auto_capture_request(props)
     53         req["android.blackLevel.lock"] = True
     54         req["android.control.awbLock"] = True
     55         req["android.control.aeLock"] = True
     56 
     57         # Capture bursts of YUV shots.
     58         # Get the mean values of a center patch for each.
     59         # Also build a 4D array, which is an array of all RGB images.
     60         r_means = []
     61         g_means = []
     62         b_means = []
     63         imgs = numpy.empty([FRAMES,h,w,3])
     64         for j in range(BURSTS):
     65             caps = cam.do_capture([req]*BURST_LEN, [fmt])
     66             for i,cap in enumerate(caps):
     67                 n = j*BURST_LEN + i
     68                 imgs[n] = its.image.convert_capture_to_rgb_image(cap)
     69                 tile = its.image.get_image_patch(imgs[n], 0.45, 0.45, 0.1, 0.1)
     70                 means = its.image.compute_image_means(tile)
     71                 r_means.append(means[0])
     72                 g_means.append(means[1])
     73                 b_means.append(means[2])
     74 
     75         # Dump all images.
     76         print "Dumping images"
     77         for i in range(FRAMES):
     78             its.image.write_image(imgs[i], "%s_frame%03d.jpg"%(NAME,i))
     79 
     80         # The mean image.
     81         img_mean = imgs.mean(0)
     82         its.image.write_image(img_mean, "%s_mean.jpg"%(NAME))
     83 
     84         # Pass/fail based on center patch similarity.
     85         for means in [r_means, g_means, b_means]:
     86             spread = max(means) - min(means)
     87             print spread
     88             assert(spread < SPREAD_THRESH)
     89 
     90 if __name__ == '__main__':
     91     main()
     92 
     93