def _get_compare_matrix(pathbuilder, configs):
compare_pb = pathbuilder.clone(build=output.DEFAULT_BUILD_NAME)
# Assumes all compared images will have the same dimensions, also that there is at
# least one config.
if len(configs) <= 0:
LOGGER.error("Cannot build comparison matrix, no configs.")
return None
test_image = image.normalize_img(
compare_pb.clone(config=configs[0]).tagimage)
single_image_width = test_image.width
single_image_height = test_image.height
num_configs = len(configs)
# Small optimization: we will reuse each image n times, so loading in advance
# reduces number of loads to n from n^2.
images_by_config = {}
for cfg in configs:
images_by_config[cfg] = image.normalize_img(
compare_pb.clone(config=cfg).tagimage)
# 2x2 comparison matrix, so it'll be kinda big.
compare_image = image.blank_compare_matrix(num_configs, single_image_width,
single_image_height)
# 200 out of 255 for "approximately 80% opaque"
difference_overlay_mask = image.get_overlay_mask(single_image_width,
single_image_height,
200)
for a, b in itertools.combinations_with_replacement(range(len(configs)), 2):
a_cfg = configs[a]
b_cfg = configs[b]
draw_position = (a * single_image_width, b * single_image_height)
if a == b:
# Special case, we know they'll be same image, so just render the
# image.
tagimage = image.normalize_img(
compare_pb.clone(config=a_cfg).tagimage)
image.add_label(image=tagimage, label=a_cfg)
# Use 4-tuple for "draw_position"? Shouldn't be necessary since width and
# height are invariant.
image.draw_reference_copy(canvas=compare_image, srcimg=tagimage,
position=draw_position)
else:
# Normal case, so we do a "comparison"
a_img = images_by_config[a_cfg]
b_img = images_by_config[b_cfg]
cfgstring = a_cfg + " x " + b_cfg
image.draw_visual_diff(canvas=compare_image, img1=a_img, img2=b_img,
position=draw_position, cfgstring=cfgstring,
overlay_mask=difference_overlay_mask)
return compare_image
def _get_compare_matrix(pathbuilder, configs):
compare_image = None
compare_pb = pathbuilder.clone(build=output.DEFAULT_BUILD_NAME)
# Assumes all compared images will have the same dimensions, also that there is at
# least one config.
if len(configs) <= 0:
LOGGER.error("Cannot build comparison matrix, no configs.")
return None
test_image = image.normalize_img(compare_pb.clone(config=configs[0]).tagimage)
single_image_width = test_image.width
single_image_height = test_image.height
num_configs = len(configs)
# Small optimization: we will reuse each image n times, so loading in advance
# reduces number of loads to n from n^2.
images_by_config = {}
for cfg in configs:
images_by_config[cfg] = image.normalize_img(compare_pb.clone(config=cfg).tagimage)
# 2x2 comparison matrix, so it'll be kinda big.
compare_image = image.blank_compare_matrix(num_configs, single_image_width,
single_image_height)
# 200 out of 255 for "approximately 80% opaque"
difference_overlay_mask = image.get_overlay_mask(single_image_width,
single_image_height,
200)
for a, b in itertools.combinations_with_replacement(range(len(configs)), 2):
a_cfg = configs[a]
b_cfg = configs[b]
draw_position = (a*single_image_width, b*single_image_height)
if a == b:
# Special case, we know they'll be same image, so just render the image.
tagimage = image.normalize_img(compare_pb.clone(config=a_cfg).tagimage)
image.add_label(image=tagimage, label=a_cfg)
# Use 4-tuple for "draw_position"? Shouldn't be necessary since width and
# height are invariant.
image.draw_reference_copy(canvas=compare_image, srcimg=tagimage,
position=draw_position)
else:
# Normal case, so we do a "comparison"
a_img = images_by_config[a_cfg]
b_img = images_by_config[b_cfg]
cfgstring = a_cfg + " x " + b_cfg
image.draw_visual_diff(canvas=compare_image, img1=a_img, img2=b_img,
position=draw_position, cfgstring=cfgstring,
overlay_mask=difference_overlay_mask)
return compare_image
def _merge_images(pathbuilder, configs):
merged_image = None
compare_pb = pathbuilder.clone(build=output.DEFAULT_BUILD_NAME)
for c in configs:
pb = compare_pb.clone(config=c)
tagimage = image.normalize_img(pb.tagimage)
image.add_label(image=tagimage, label=c)
if not merged_image:
merged_image = tagimage
else:
merged_image = image.merge_images(merged_image, tagimage)
return merged_image
