Home | History | Annotate | Download | only in scene1
      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.device
     16 import its.caps
     17 import its.objects
     18 import its.image
     19 import os.path
     20 from matplotlib import pylab
     21 import matplotlib.pyplot
     22 
     23 GR_PLANE = 1  # GR plane index in RGGB data
     24 IMG_STATS_GRID = 9  # find used to find the center 11.11%
     25 NAME = os.path.basename(__file__).split(".")[0]
     26 NUM_STEPS = 5
     27 VAR_THRESH = 1.01  # each shot must be 1% noisier than previous
     28 
     29 
     30 def main():
     31     """Capture a set of raw images with increasing gains and measure the noise.
     32     """
     33 
     34     with its.device.ItsSession() as cam:
     35 
     36         props = cam.get_camera_properties()
     37         its.caps.skip_unless(its.caps.raw16(props) and
     38                              its.caps.manual_sensor(props) and
     39                              its.caps.read_3a(props) and
     40                              its.caps.per_frame_control(props) and
     41                              not its.caps.mono_camera(props))
     42         debug = its.caps.debug_mode()
     43 
     44         # Expose for the scene with min sensitivity
     45         sens_min, _ = props["android.sensor.info.sensitivityRange"]
     46         # Digital gains might not be visible on RAW data
     47         sens_max = props["android.sensor.maxAnalogSensitivity"]
     48         sens_step = (sens_max - sens_min) / NUM_STEPS
     49         s_ae, e_ae, _, _, f_dist = cam.do_3a(get_results=True)
     50         s_e_prod = s_ae * e_ae
     51 
     52         variances = []
     53         for s in range(sens_min, sens_max, sens_step):
     54 
     55             e = int(s_e_prod / float(s))
     56             req = its.objects.manual_capture_request(s, e, f_dist)
     57 
     58             # Capture raw in debug mode, rawStats otherwise
     59             # Measure the variance. Each shot should be noisier than the
     60             # previous shot (as the gain is increasing).
     61             if debug:
     62                 cap = cam.do_capture(req, cam.CAP_RAW)
     63                 gr = its.image.convert_capture_to_planes(cap, props)[1]
     64                 tile = its.image.get_image_patch(gr, 0.445, 0.445, 0.11, 0.11)
     65                 var = its.image.compute_image_variances(tile)[0]
     66                 img = its.image.convert_capture_to_rgb_image(cap, props=props)
     67                 its.image.write_image(img, "%s_s=%05d_var=%f.jpg" %
     68                                       (NAME, s, var))
     69             else:
     70                 # Get the active array width and height.
     71                 aax = props["android.sensor.info.activeArraySize"]["left"]
     72                 aay = props["android.sensor.info.activeArraySize"]["top"]
     73                 aaw = props["android.sensor.info.activeArraySize"]["right"]-aax
     74                 aah = props["android.sensor.info.activeArraySize"]["bottom"]-aay
     75                 white_level = float(props["android.sensor.info.whiteLevel"])
     76                 cap = cam.do_capture(req,
     77                                      {"format": "rawStats",
     78                                       "gridWidth": aaw/IMG_STATS_GRID,
     79                                       "gridHeight": aah/IMG_STATS_GRID})
     80                 _, var_image = its.image.unpack_rawstats_capture(cap)
     81                 cfa_idxs = its.image.get_canonical_cfa_order(props)
     82                 var = var_image[IMG_STATS_GRID/2, IMG_STATS_GRID/2,
     83                                 cfa_idxs[GR_PLANE]]/white_level**2
     84 
     85             variances.append(var)
     86             print "s=%d, e=%d, var=%e" % (s, e, var)
     87 
     88         x = range(len(variances))
     89         pylab.plot(x, variances, "-ro")
     90         pylab.xticks(x)
     91         pylab.xlabel("Setting Combination")
     92         pylab.ylabel("Image Center Patch Variance")
     93         matplotlib.pyplot.savefig("%s_variances.png" % NAME)
     94 
     95         # Test that each shot is noisier than the previous one.
     96         for i in range(len(variances) - 1):
     97             assert variances[i] < variances[i+1] / VAR_THRESH
     98 
     99 if __name__ == "__main__":
    100     main()
    101