# 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()