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-rw-r--r--apps/CameraITS/tests/scene1/test_crop_regions.py106
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diff --git a/apps/CameraITS/tests/scene1/test_crop_regions.py b/apps/CameraITS/tests/scene1/test_crop_regions.py
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--- a/apps/CameraITS/tests/scene1/test_crop_regions.py
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-# 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 os.path
-import numpy
-
-def main():
- """Test that crop regions work.
- """
- NAME = os.path.basename(__file__).split(".")[0]
-
- # A list of 5 regions, specified in normalized (x,y,w,h) coords.
- # The regions correspond to: TL, TR, BL, BR, CENT
- REGIONS = [(0.0, 0.0, 0.5, 0.5),
- (0.5, 0.0, 0.5, 0.5),
- (0.0, 0.5, 0.5, 0.5),
- (0.5, 0.5, 0.5, 0.5),
- (0.25, 0.25, 0.5, 0.5)]
-
- with its.device.ItsSession() as cam:
- props = cam.get_camera_properties()
- if not its.caps.compute_target_exposure(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"]
- e, s = its.target.get_target_exposure_combos(cam)["minSensitivity"]
- print "Active sensor region (%d,%d %dx%d)" % (ax, ay, aw, ah)
-
- # Uses a 2x digital zoom.
- assert(props['android.scaler.availableMaxDigitalZoom'] >= 2)
-
- # Capture a full frame.
- req = its.objects.manual_capture_request(s,e)
- cap_full = cam.do_capture(req)
- img_full = its.image.convert_capture_to_rgb_image(cap_full)
- its.image.write_image(img_full, "%s_full.jpg" % (NAME))
- wfull, hfull = cap_full["width"], cap_full["height"]
-
- # Capture a burst of crop region frames.
- # Note that each region is 1/2x1/2 of the full frame, and is digitally
- # zoomed into the full size output image, so must be downscaled (below)
- # by 2x when compared to a tile of the full image.
- reqs = []
- for x,y,w,h in REGIONS:
- req = its.objects.manual_capture_request(s,e)
- req["android.scaler.cropRegion"] = {
- "top": int(ah * y),
- "left": int(aw * x),
- "right": int(aw * (x + w)),
- "bottom": int(ah * (y + h))}
- reqs.append(req)
- caps_regions = cam.do_capture(reqs)
- match_failed = False
- for i,cap in enumerate(caps_regions):
- a = cap["metadata"]["android.scaler.cropRegion"]
- ax, ay = a["left"], a["top"]
- aw, ah = a["right"] - a["left"], a["bottom"] - a["top"]
-
- # Match this crop image against each of the five regions of
- # the full image, to find the best match (which should be
- # the region that corresponds to this crop image).
- img_crop = its.image.convert_capture_to_rgb_image(cap)
- img_crop = its.image.downscale_image(img_crop, 2)
- its.image.write_image(img_crop, "%s_crop%d.jpg" % (NAME, i))
- min_diff = None
- min_diff_region = None
- for j,(x,y,w,h) in enumerate(REGIONS):
- tile_full = its.image.get_image_patch(img_full, x,y,w,h)
- wtest = min(tile_full.shape[1], aw)
- htest = min(tile_full.shape[0], ah)
- tile_full = tile_full[0:htest:, 0:wtest:, ::]
- tile_crop = img_crop[0:htest:, 0:wtest:, ::]
- its.image.write_image(tile_full, "%s_fullregion%d.jpg"%(NAME,j))
- diff = numpy.fabs(tile_full - tile_crop).mean()
- if min_diff is None or diff < min_diff:
- min_diff = diff
- min_diff_region = j
- if i != min_diff_region:
- match_failed = True
- print "Crop image %d (%d,%d %dx%d) best match with region %d"%(
- i, ax, ay, aw, ah, min_diff_region)
-
- assert(not match_failed)
-
-if __name__ == '__main__':
- main()
-