# 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 math import os.path import its.caps import its.device import its.image import its.objects import its.target import matplotlib.pylab import matplotlib.pyplot NAME = os.path.basename(__file__).split(".")[0] THRESHOLD_MAX_RMS_DIFF = 0.03 def main(): """Test that the reported sizes and formats for image capture work. """ with its.device.ItsSession() as cam: props = cam.get_camera_properties() its.caps.skip_unless(its.caps.compute_target_exposure(props) and its.caps.per_frame_control(props)) # Use a manual request with a linear tonemap so that the YUV and JPEG # should look the same (once converted by the its.image module). e, s = its.target.get_target_exposure_combos(cam)["midExposureTime"] req = its.objects.manual_capture_request(s, e, 0.0, True, props) rgbs = [] for size in its.objects.get_available_output_sizes("yuv", props): out_surface = {"width": size[0], "height": size[1], "format": "yuv"} cap = cam.do_capture(req, out_surface) assert cap["format"] == "yuv" assert cap["width"] == size[0] assert cap["height"] == size[1] print "Captured YUV %dx%d" % (cap["width"], cap["height"]), img = its.image.convert_capture_to_rgb_image(cap) its.image.write_image(img, "%s_yuv_w%d_h%d.jpg"%( NAME, size[0], size[1])) tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) rgb = its.image.compute_image_means(tile) print "rgb =", rgb rgbs.append(rgb) for size in its.objects.get_available_output_sizes("jpg", props): out_surface = {"width": size[0], "height": size[1], "format": "jpg"} cap = cam.do_capture(req, out_surface) assert cap["format"] == "jpeg" assert cap["width"] == size[0] assert cap["height"] == size[1] img = its.image.decompress_jpeg_to_rgb_image(cap["data"]) its.image.write_image(img, "%s_jpg_w%d_h%d.jpg"%( NAME, size[0], size[1])) assert img.shape[0] == size[1] assert img.shape[1] == size[0] assert img.shape[2] == 3 print "Captured JPEG %dx%d" % (cap["width"], cap["height"]), tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) rgb = its.image.compute_image_means(tile) print "rgb =", rgb rgbs.append(rgb) # Plot means vs format matplotlib.pylab.title(NAME) matplotlib.pylab.plot(range(len(rgbs)), [r[0] for r in rgbs], "-ro") matplotlib.pylab.plot(range(len(rgbs)), [g[1] for g in rgbs], "-go") matplotlib.pylab.plot(range(len(rgbs)), [b[2] for b in rgbs], "-bo") matplotlib.pylab.ylim([0, 1]) matplotlib.pylab.xlabel("format number") matplotlib.pylab.ylabel("RGB avg [0, 1]") matplotlib.pyplot.savefig("%s_plot_means.png" % (NAME)) max_diff = 0 rgb0 = rgbs[0] for rgb1 in rgbs[1:]: rms_diff = math.sqrt( sum([pow(rgb0[i] - rgb1[i], 2.0) for i in range(3)]) / 3.0) max_diff = max(max_diff, rms_diff) print "Max RMS difference:", max_diff msg = "Max RMS difference: %.4f, spec: %.3f" % (max_diff, THRESHOLD_MAX_RMS_DIFF) assert max_diff < THRESHOLD_MAX_RMS_DIFF, msg if __name__ == "__main__": main()