blob: 1e76afbc9ce8fd59b2d7ad149172e3a4cc22e609 [file] [log] [blame]
# 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.device
import its.objects
import pylab
import os.path
import matplotlib
import matplotlib.pyplot
import copy
def main():
"""Test that predicted AWB values come out on the right frames.
"""
NAME = os.path.basename(__file__).split(".")[0]
def r2f(r):
return float(r["numerator"]) / float(r["denominator"])
reqs = its.objects.capture_request_list(
[its.objects.manual_capture_request(100,0.1)["captureRequest"]]*7 + \
[its.objects.manual_capture_request(300,33)["captureRequest"]]*7 + \
[its.objects.manual_capture_request(100,0.1)["captureRequest"]]*7
)
curve = sum([[i/63.0, pow(i/63.0, 1/2.2)] for i in range(64)], [])
for r in reqs["captureRequestList"]:
r["android.tonemap.mode"] = 0
r["android.tonemap.curveRed"] = curve
r["android.tonemap.curveGreen"] = curve
r["android.tonemap.curveBlue"] = curve
with its.device.ItsSession() as cam:
fnames, w, h, cap_mds = cam.do_capture(reqs)
for i, fname in enumerate(fnames):
img = its.image.load_yuv420_to_rgb_image(fname, w, h)
its.image.write_image(img, "%s_i=%02d.jpg" % (NAME, i))
cap_res = cap_mds[i]["captureResult"]
print "Predicted:", \
cap_res["android.statistics.predictedColorGains"], \
[r2f(t) for t in cap_res["android.statistics.predictedColorTransform"]]
if __name__ == '__main__':
main()