# Copyright 2015 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 math import matplotlib import matplotlib.pyplot import numpy import os.path import pylab def test_edge_mode(cam, edge_mode, sensitivity, exp, fd, out_surface): """Return sharpness of the output image and the capture result metadata for a capture request with the given edge mode, sensitivity, exposure time, focus distance, output surface parameter. Args: cam: An open device session. edge_mode: Edge mode for the request as defined in android.edge.mode sensitivity: Sensitivity for the request as defined in android.sensor.sensitivity exp: Exposure time for the request as defined in android.sensor.exposureTime. fd: Focus distance for the request as defined in android.lens.focusDistance output_surface: Specifications of the output image format and size. Returns: Object containing reported edge mode and the sharpness of the output image, keyed by the following strings: "edge_mode" "sharpness" """ NAME = os.path.basename(__file__).split(".")[0] NUM_SAMPLES = 4 req = its.objects.manual_capture_request(sensitivity, exp) req["android.lens.focusDistance"] = fd req["android.edge.mode"] = edge_mode sharpness_list = [] test_fmt = out_surface["format"] for n in range(NUM_SAMPLES): cap = cam.do_capture(req, out_surface, repeat_request=req) img = its.image.convert_capture_to_rgb_image(cap) if n == 0: its.image.write_image(img, "%s_edge=%d.jpg" % (NAME, edge_mode)) res_edge_mode = cap["metadata"]["android.edge.mode"] tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1) sharpness_list.append(its.image.compute_image_sharpness(tile)) ret = {} ret["edge_mode"] = res_edge_mode ret["sharpness"] = numpy.mean(sharpness_list) return ret def main(): """Test that the android.edge.mode param is applied correctly. Capture non-reprocess images for each edge mode and calculate their sharpness as a baseline. """ THRESHOLD_RELATIVE_SHARPNESS_DIFF = 0.1 with its.device.ItsSession() as cam: props = cam.get_camera_properties() its.caps.skip_unless(its.caps.read_3a(props) and its.caps.per_frame_control(props) and its.caps.edge_mode(props, 0)) test_fmt = "yuv" size = its.objects.get_available_output_sizes(test_fmt, props)[0] out_surface = {"width":size[0], "height":size[1], "format":test_fmt} # Get proper sensitivity, exposure time, and focus distance. s,e,_,_,fd = cam.do_3a(get_results=True) # Get the sharpness for each edge mode for regular requests sharpness_regular = [] edge_mode_reported_regular = [] for edge_mode in range(4): # Skip unavailable modes if not its.caps.edge_mode(props, edge_mode): edge_mode_reported_regular.append(edge_mode) sharpness_regular.append(0) continue ret = test_edge_mode(cam, edge_mode, s, e, fd, out_surface) edge_mode_reported_regular.append(ret["edge_mode"]) sharpness_regular.append(ret["sharpness"]) print "Reported edge modes:", edge_mode_reported_regular print "Sharpness with EE mode [0,1,2,3]:", sharpness_regular # Verify HQ(2) is sharper than OFF(0) assert(sharpness_regular[2] > sharpness_regular[0]) # Verify OFF(0) is not sharper than FAST(1) assert(sharpness_regular[1] > sharpness_regular[0] * (1.0 - THRESHOLD_RELATIVE_SHARPNESS_DIFF)) # Verify FAST(1) is not sharper than HQ(2) assert(sharpness_regular[2] > sharpness_regular[1] * (1.0 - THRESHOLD_RELATIVE_SHARPNESS_DIFF)) if __name__ == '__main__': main()