# 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.caps import its.device import its.objects import os.path import numpy import matplotlib.pyplot # Required for 3d plot to work import mpl_toolkits.mplot3d def main(): """Test that valid data comes back in CaptureResult objects. """ global NAME, auto_req, manual_req, w_map, h_map global manual_tonemap, manual_transform, manual_gains, manual_region global manual_exp_time, manual_sensitivity, manual_gains_ok NAME = os.path.basename(__file__).split(".")[0] with its.device.ItsSession() as cam: props = cam.get_camera_properties() its.caps.skip_unless(its.caps.manual_sensor(props) and its.caps.manual_post_proc(props) and its.caps.per_frame_control(props)) manual_tonemap = [0,0, 1,1] # Linear manual_transform = its.objects.float_to_rational( [-1.5,-1.0,-0.5, 0.0,0.5,1.0, 1.5,2.0,3.0]) manual_gains = [1,1.5,2.0,3.0] manual_region = [{"x":8,"y":8,"width":128,"height":128,"weight":1}] manual_exp_time = min(props['android.sensor.info.exposureTimeRange']) manual_sensitivity = min(props['android.sensor.info.sensitivityRange']) # The camera HAL may not support different gains for two G channels. manual_gains_ok = [[1,1.5,2.0,3.0],[1,1.5,1.5,3.0],[1,2.0,2.0,3.0]] auto_req = its.objects.auto_capture_request() auto_req["android.statistics.lensShadingMapMode"] = 1 manual_req = { "android.control.mode": 0, "android.control.aeMode": 0, "android.control.awbMode": 0, "android.control.afMode": 0, "android.sensor.frameDuration": 0, "android.sensor.sensitivity": manual_sensitivity, "android.sensor.exposureTime": manual_exp_time, "android.colorCorrection.mode": 0, "android.colorCorrection.transform": manual_transform, "android.colorCorrection.gains": manual_gains, "android.tonemap.mode": 0, "android.tonemap.curveRed": manual_tonemap, "android.tonemap.curveGreen": manual_tonemap, "android.tonemap.curveBlue": manual_tonemap, "android.control.aeRegions": manual_region, "android.control.afRegions": manual_region, "android.control.awbRegions": manual_region, "android.statistics.lensShadingMapMode":1 } w_map = props["android.lens.info.shadingMapSize"]["width"] h_map = props["android.lens.info.shadingMapSize"]["height"] print "Testing auto capture results" lsc_map_auto = test_auto(cam, w_map, h_map) print "Testing manual capture results" test_manual(cam, w_map, h_map, lsc_map_auto) print "Testing auto capture results again" test_auto(cam, w_map, h_map) # A very loose definition for two floats being close to each other; # there may be different interpolation and rounding used to get the # two values, and all this test is looking at is whether there is # something obviously broken; it's not looking for a perfect match. def is_close_float(n1, n2): return abs(n1 - n2) < 0.05 def is_close_rational(n1, n2): return is_close_float(its.objects.rational_to_float(n1), its.objects.rational_to_float(n2)) def draw_lsc_plot(w_map, h_map, lsc_map, name): for ch in range(4): fig = matplotlib.pyplot.figure() ax = fig.gca(projection='3d') xs = numpy.array([range(w_map)] * h_map).reshape(h_map, w_map) ys = numpy.array([[i]*w_map for i in range(h_map)]).reshape( h_map, w_map) zs = numpy.array(lsc_map[ch::4]).reshape(h_map, w_map) ax.plot_wireframe(xs, ys, zs) matplotlib.pyplot.savefig("%s_plot_lsc_%s_ch%d.png"%(NAME,name,ch)) def test_auto(cam, w_map, h_map): # Get 3A lock first, so the auto values in the capture result are # populated properly. rect = [[0,0,1,1,1]] cam.do_3a(rect, rect, rect, do_af=False) cap = cam.do_capture(auto_req) cap_res = cap["metadata"] gains = cap_res["android.colorCorrection.gains"] transform = cap_res["android.colorCorrection.transform"] exp_time = cap_res['android.sensor.exposureTime'] lsc_map = cap_res["android.statistics.lensShadingMap"] ctrl_mode = cap_res["android.control.mode"] print "Control mode:", ctrl_mode print "Gains:", gains print "Transform:", [its.objects.rational_to_float(t) for t in transform] print "AE region:", cap_res['android.control.aeRegions'] print "AF region:", cap_res['android.control.afRegions'] print "AWB region:", cap_res['android.control.awbRegions'] print "LSC map:", w_map, h_map, lsc_map[:8] assert(ctrl_mode == 1) # Color correction gain and transform must be valid. assert(len(gains) == 4) assert(len(transform) == 9) assert(all([g > 0 for g in gains])) assert(all([t["denominator"] != 0 for t in transform])) # Color correction should not match the manual settings. assert(any([not is_close_float(gains[i], manual_gains[i]) for i in xrange(4)])) assert(any([not is_close_rational(transform[i], manual_transform[i]) for i in xrange(9)])) # Exposure time must be valid. assert(exp_time > 0) # Lens shading map must be valid. assert(w_map > 0 and h_map > 0 and w_map * h_map * 4 == len(lsc_map)) assert(all([m >= 1 for m in lsc_map])) draw_lsc_plot(w_map, h_map, lsc_map, "auto") return lsc_map def test_manual(cam, w_map, h_map, lsc_map_auto): cap = cam.do_capture(manual_req) cap_res = cap["metadata"] gains = cap_res["android.colorCorrection.gains"] transform = cap_res["android.colorCorrection.transform"] curves = [cap_res["android.tonemap.curveRed"], cap_res["android.tonemap.curveGreen"], cap_res["android.tonemap.curveBlue"]] exp_time = cap_res['android.sensor.exposureTime'] lsc_map = cap_res["android.statistics.lensShadingMap"] ctrl_mode = cap_res["android.control.mode"] print "Control mode:", ctrl_mode print "Gains:", gains print "Transform:", [its.objects.rational_to_float(t) for t in transform] print "Tonemap:", curves[0][1::16] print "AE region:", cap_res['android.control.aeRegions'] print "AF region:", cap_res['android.control.afRegions'] print "AWB region:", cap_res['android.control.awbRegions'] print "LSC map:", w_map, h_map, lsc_map[:8] assert(ctrl_mode == 0) # Color correction gain and transform must be valid. # Color correction gains and transform should be the same size and # values as the manually set values. assert(len(gains) == 4) assert(len(transform) == 9) assert( all([is_close_float(gains[i], manual_gains_ok[0][i]) for i in xrange(4)]) or all([is_close_float(gains[i], manual_gains_ok[1][i]) for i in xrange(4)]) or all([is_close_float(gains[i], manual_gains_ok[2][i]) for i in xrange(4)])) assert(all([is_close_rational(transform[i], manual_transform[i]) for i in xrange(9)])) # Tonemap must be valid. # The returned tonemap must be linear. for c in curves: assert(len(c) > 0) assert(all([is_close_float(c[i], c[i+1]) for i in xrange(0,len(c),2)])) # Exposure time must be close to the requested exposure time. assert(is_close_float(exp_time/1000000.0, manual_exp_time/1000000.0)) # Lens shading map must be valid. assert(w_map > 0 and h_map > 0 and w_map * h_map * 4 == len(lsc_map)) assert(all([m >= 1 for m in lsc_map])) draw_lsc_plot(w_map, h_map, lsc_map, "manual") if __name__ == '__main__': main()