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 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 # Get AE+AWB lock first, so the auto values in the capture result are 37 # populated properly. 38 r = [0,0,1,1] 39 ae_sen,ae_exp,awb_gains,awb_transform,_ = \ 40 cam.do_3a(r,r,r,True,True,False) 41 ae_exp = ae_exp / 1000000.0 42 print "AE:", ae_sen, ae_exp 43 print "AWB:", awb_gains, awb_transform 44 45 # Set analog gain (sensitivity) to 800 46 ae_exp = ae_exp * ae_sen / 800 47 ae_sen = 800 48 49 # Capture range of exposures from 1/100x to 4x of AE estimate. 50 exposures = [ae_exp*x/100.0 for x in [1]+range(10,401,20)] 51 print "Exposures:", exposures 52 53 # Convert the transform back to rational. 54 awb_transform_rat = [{"numerator":int(100*x),"denominator":100} 55 for x in awb_transform] 56 57 # Linear tonemap 58 tmap = sum([[i/63.0,i/63.0] for i in range(64)], []) 59 60 reqs = its.objects.capture_request_list([]) 61 for e in exposures: 62 req = its.objects.manual_capture_request(ae_sen,e)["captureRequest"] 63 req["android.tonemap.mode"] = 0 64 req["android.tonemap.curveRed"] = tmap 65 req["android.tonemap.curveGreen"] = tmap 66 req["android.tonemap.curveBlue"] = tmap 67 req["android.colorCorrection.transform"] = awb_transform_rat 68 req["android.colorCorrection.gains"] = awb_gains 69 reqs["captureRequestList"].append(req) 70 71 fnames, w, h, cap_mds = cam.do_capture(reqs) 72 for i,fname in enumerate(fnames): 73 img = its.image.load_yuv420_to_rgb_image(fname, w, h) 74 75 tile_center = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) 76 rgb_means = its.image.compute_image_means(tile_center) 77 r_means_center.append(rgb_means[0]) 78 g_means_center.append(rgb_means[1]) 79 b_means_center.append(rgb_means[2]) 80 81 tile_corner = its.image.get_image_patch(img, 0.0, 0.0, 0.1, 0.1) 82 rgb_means = its.image.compute_image_means(tile_corner) 83 r_means_corner.append(rgb_means[0]) 84 g_means_corner.append(rgb_means[1]) 85 b_means_corner.append(rgb_means[2]) 86 87 fig = matplotlib.pyplot.figure() 88 pylab.plot(exposures, r_means_center, 'r') 89 pylab.plot(exposures, g_means_center, 'g') 90 pylab.plot(exposures, b_means_center, 'b') 91 pylab.ylim([0,1]) 92 matplotlib.pyplot.savefig("%s_plot_means_center.png" % (NAME)) 93 94 fig = matplotlib.pyplot.figure() 95 pylab.plot(exposures, r_means_corner, 'r') 96 pylab.plot(exposures, g_means_corner, 'g') 97 pylab.plot(exposures, b_means_corner, 'b') 98 pylab.ylim([0,1]) 99 matplotlib.pyplot.savefig("%s_plot_means_corner.png" % (NAME)) 100 101 if __name__ == '__main__': 102 main() 103 104
