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 15import its.image 16import its.caps 17import its.device 18import its.objects 19import os.path 20import numpy 21 22def main(): 23 """Test a sequence of shots with different tonemap curves. 24 """ 25 NAME = os.path.basename(__file__).split(".")[0] 26 27 # There should be 3 identical frames followed by a different set of 28 # 3 identical frames. 29 MAX_SAME_DELTA = 0.01 30 MIN_DIFF_DELTA = 0.10 31 32 with its.device.ItsSession() as cam: 33 props = cam.get_camera_properties() 34 if (not its.caps.manual_sensor(props) or 35 not its.caps.manual_post_proc(props)): 36 print "Test skipped" 37 return 38 39 sens, exp_time, _,_,_ = cam.do_3a(do_af=False,get_results=True) 40 41 means = [] 42 43 # Capture 3 manual shots with a linear tonemap. 44 req = its.objects.manual_capture_request(sens, exp_time, True) 45 for i in [0,1,2]: 46 cap = cam.do_capture(req) 47 img = its.image.convert_capture_to_rgb_image(cap) 48 its.image.write_image(img, "%s_i=%d.jpg" % (NAME, i)) 49 tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) 50 means.append(tile.mean(0).mean(0)) 51 52 # Capture 3 manual shots with the default tonemap. 53 req = its.objects.manual_capture_request(sens, exp_time, False) 54 for i in [3,4,5]: 55 cap = cam.do_capture(req) 56 img = its.image.convert_capture_to_rgb_image(cap) 57 its.image.write_image(img, "%s_i=%d.jpg" % (NAME, i)) 58 tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) 59 means.append(tile.mean(0).mean(0)) 60 61 # Compute the delta between each consecutive frame pair. 62 deltas = [numpy.max(numpy.fabs(means[i+1]-means[i])) \ 63 for i in range(len(means)-1)] 64 print "Deltas between consecutive frames:", deltas 65 66 assert(all([abs(deltas[i]) < MAX_SAME_DELTA for i in [0,1,3,4]])) 67 assert(abs(deltas[2]) > MIN_DIFF_DELTA) 68 69if __name__ == '__main__': 70 main() 71 72