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Diffstat (limited to 'apps/CameraITS/tests/scene1/test_crop_region_raw.py')
| -rw-r--r-- | apps/CameraITS/tests/scene1/test_crop_region_raw.py | 116 |
1 files changed, 0 insertions, 116 deletions
diff --git a/apps/CameraITS/tests/scene1/test_crop_region_raw.py b/apps/CameraITS/tests/scene1/test_crop_region_raw.py deleted file mode 100644 index 94c8e2b..0000000 --- a/apps/CameraITS/tests/scene1/test_crop_region_raw.py +++ /dev/null @@ -1,116 +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.caps -import its.device -import its.objects -import its.target -import numpy -import os.path - -def main(): - """Test that raw streams are not croppable. - """ - NAME = os.path.basename(__file__).split(".")[0] - - DIFF_THRESH = 0.05 - - with its.device.ItsSession() as cam: - props = cam.get_camera_properties() - if (not its.caps.compute_target_exposure(props) or - not its.caps.raw16(props)): - print "Test skipped" - return - - a = props['android.sensor.info.activeArraySize'] - ax, ay = a["left"], a["top"] - aw, ah = a["right"] - a["left"], a["bottom"] - a["top"] - print "Active sensor region: (%d,%d %dx%d)" % (ax, ay, aw, ah) - - # Capture without a crop region. - # Use a manual request with a linear tonemap so that the YUV and RAW - # should look the same (once converted by the its.image module). - e, s = its.target.get_target_exposure_combos(cam)["minSensitivity"] - req = its.objects.manual_capture_request(s,e, True) - cap1_raw, cap1_yuv = cam.do_capture(req, cam.CAP_RAW_YUV) - - # Capture with a center crop region. - req["android.scaler.cropRegion"] = { - "top": ay + ah/3, - "left": ax + aw/3, - "right": ax + 2*aw/3, - "bottom": ay + 2*ah/3} - cap2_raw, cap2_yuv = cam.do_capture(req, cam.CAP_RAW_YUV) - - reported_crops = [] - imgs = {} - for s,cap in [("yuv_full",cap1_yuv), ("raw_full",cap1_raw), - ("yuv_crop",cap2_yuv), ("raw_crop",cap2_raw)]: - img = its.image.convert_capture_to_rgb_image(cap, props=props) - its.image.write_image(img, "%s_%s.jpg" % (NAME, s)) - r = cap["metadata"]["android.scaler.cropRegion"] - x, y = a["left"], a["top"] - w, h = a["right"] - a["left"], a["bottom"] - a["top"] - reported_crops.append((x,y,w,h)) - imgs[s] = img - print "Crop on %s: (%d,%d %dx%d)" % (s, x,y,w,h) - - # The metadata should report uncropped for all shots (since there is - # at least 1 uncropped stream in each case). - for (x,y,w,h) in reported_crops: - assert((ax,ay,aw,ah) == (x,y,w,h)) - - # Also check the image content; 3 of the 4 shots should match. - # Note that all the shots are RGB below; the variable names correspond - # to what was captured. - # Average the images down 4x4 -> 1 prior to comparison to smooth out - # noise. - # Shrink the YUV images an additional 2x2 -> 1 to account for the size - # reduction that the raw images went through in the RGB conversion. - imgs2 = {} - for s,img in imgs.iteritems(): - h,w,ch = img.shape - m = 4 - if s in ["yuv_full", "yuv_crop"]: - m = 8 - img = img.reshape(h/m,m,w/m,m,3).mean(3).mean(1).reshape(h/m,w/m,3) - imgs2[s] = img - print s, img.shape - - # Strip any border pixels from the raw shots (since the raw images may - # be larger than the YUV images). Assume a symmetric padded border. - xpad = (imgs2["raw_full"].shape[1] - imgs2["yuv_full"].shape[1]) / 2 - ypad = (imgs2["raw_full"].shape[0] - imgs2["yuv_full"].shape[0]) / 2 - wyuv = imgs2["yuv_full"].shape[1] - hyuv = imgs2["yuv_full"].shape[0] - imgs2["raw_full"]=imgs2["raw_full"][ypad:ypad+hyuv:,xpad:xpad+wyuv:,::] - imgs2["raw_crop"]=imgs2["raw_crop"][ypad:ypad+hyuv:,xpad:xpad+wyuv:,::] - print "Stripping padding before comparison:", xpad, ypad - - for s,img in imgs2.iteritems(): - its.image.write_image(img, "%s_comp_%s.jpg" % (NAME, s)) - - # Compute image diffs. - diff_yuv = numpy.fabs((imgs2["yuv_full"] - imgs2["yuv_crop"])).mean() - diff_raw = numpy.fabs((imgs2["raw_full"] - imgs2["raw_crop"])).mean() - print "YUV diff (crop vs. non-crop):", diff_yuv - print "RAW diff (crop vs. non-crop):", diff_raw - - assert(diff_yuv > DIFF_THRESH) - assert(diff_raw < DIFF_THRESH) - -if __name__ == '__main__': - main() - |