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-rw-r--r--apps/CameraITS/tests/inprog/scene2/test_dng_tags.py94
1 files changed, 0 insertions, 94 deletions
diff --git a/apps/CameraITS/tests/inprog/scene2/test_dng_tags.py b/apps/CameraITS/tests/inprog/scene2/test_dng_tags.py
deleted file mode 100644
index 0c96ca7..0000000
--- a/apps/CameraITS/tests/inprog/scene2/test_dng_tags.py
+++ /dev/null
@@ -1,94 +0,0 @@
-# Copyright 2014 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.dng
-import its.objects
-import numpy
-import os.path
-
-def main():
- """Test that the DNG tags are internally self-consistent.
- """
- NAME = os.path.basename(__file__).split(".")[0]
-
- with its.device.ItsSession() as cam:
- props = cam.get_camera_properties()
-
- # Assumes that illuminant 1 is D65, and illuminant 2 is standard A.
- # TODO: Generalize DNG tags check for any provided illuminants.
- illum_code = [21, 17] # D65, A
- illum_str = ['D65', 'A']
- ref_str = ['android.sensor.referenceIlluminant%d'%(i) for i in [1,2]]
- cm_str = ['android.sensor.colorTransform%d'%(i) for i in [1,2]]
- fm_str = ['android.sensor.forwardMatrix%d'%(i) for i in [1,2]]
- cal_str = ['android.sensor.calibrationTransform%d'%(i) for i in [1,2]]
- dng_illum = [its.dng.D65, its.dng.A]
-
- for i in [0,1]:
- assert(props[ref_str[i]] == illum_code[i])
- raw_input("\n[Point camera at grey card under %s and press ENTER]"%(
- illum_str[i]))
-
- cam.do_3a(do_af=False)
- cap = cam.do_capture(its.objects.auto_capture_request())
- gains = cap["metadata"]["android.colorCorrection.gains"]
- ccm = its.objects.rational_to_float(
- cap["metadata"]["android.colorCorrection.transform"])
- cal = its.objects.rational_to_float(props[cal_str[i]])
- print "HAL reported gains:\n", numpy.array(gains)
- print "HAL reported ccm:\n", numpy.array(ccm).reshape(3,3)
- print "HAL reported cal:\n", numpy.array(cal).reshape(3,3)
-
- # Dump the image.
- img = its.image.convert_capture_to_rgb_image(cap)
- its.image.write_image(img, "%s_%s.jpg" % (NAME, illum_str[i]))
-
- # Compute the matrices that are expected under this illuminant from
- # the HAL-reported WB gains, CCM, and calibration matrix.
- cm, fm = its.dng.compute_cm_fm(dng_illum[i], gains, ccm, cal)
- asn = its.dng.compute_asn(dng_illum[i], cal, cm)
- print "Expected ColorMatrix:\n", cm
- print "Expected ForwardMatrix:\n", fm
- print "Expected AsShotNeutral:\n", asn
-
- # Get the matrices that are reported by the HAL for this
- # illuminant.
- cm_ref = numpy.array(its.objects.rational_to_float(
- props[cm_str[i]])).reshape(3,3)
- fm_ref = numpy.array(its.objects.rational_to_float(
- props[fm_str[i]])).reshape(3,3)
- asn_ref = numpy.array(its.objects.rational_to_float(
- cap['metadata']['android.sensor.neutralColorPoint']))
- print "Reported ColorMatrix:\n", cm_ref
- print "Reported ForwardMatrix:\n", fm_ref
- print "Reported AsShotNeutral:\n", asn_ref
-
- # The color matrix may be scaled (between the reported and
- # expected values).
- cm_scale = cm.mean(1).mean(0) / cm_ref.mean(1).mean(0)
- print "ColorMatrix scale factor:", cm_scale
-
- # Compute the deltas between reported and expected.
- print "Ratios in ColorMatrix:\n", cm / cm_ref
- print "Deltas in ColorMatrix (after normalizing):\n", cm/cm_scale - cm_ref
- print "Deltas in ForwardMatrix:\n", fm - fm_ref
- print "Deltas in AsShotNeutral:\n", asn - asn_ref
-
- # TODO: Add pass/fail test on DNG matrices.
-
-if __name__ == '__main__':
- main()
-