def assert_compare_images(self, a, b, max_average_diff, max_diff=255):
self.assertEqual(a.mode, b.mode,
"got mode %r, expected %r" % (a.mode, b.mode))
self.assertEqual(a.size, b.size,
"got size %r, expected %r" % (a.size, b.size))
a, b = convert_to_comparable(a, b)
bands = ImageMode.getmode(a.mode).bands
for band, ach, bch in zip(bands, a.split(), b.split()):
ch_diff = ImageMath.eval("convert(abs(a - b), 'L')", a=ach, b=bch)
ch_hist = ch_diff.histogram()
average_diff = sum(i * num
for i, num in enumerate(ch_hist)) / float(
a.size[0] * a.size[1])
self.assertGreaterEqual(
max_average_diff,
average_diff,
("average pixel value difference {:.4f} > expected {:.4f} "
"for '{}' band").format(average_diff, max_average_diff, band),
)
last_diff = [i for i, num in enumerate(ch_hist) if num > 0][-1]
self.assertGreaterEqual(
max_diff,
last_diff,
"max pixel value difference {} > expected {} for '{}' band".
format(last_diff, max_diff, band),
)
def create_test_image():
# set up test image with something interesting in the tested aux
# channel.
nine_grid_deltas = [
(-1, -1), (-1, 0), (-1, 1),
( 0, -1), ( 0, 0), ( 0, 1),
( 1, -1), ( 1, 0), ( 1, 1),
]
chans = []
bands = ImageMode.getmode(mode).bands
for band_ndx in range(len(bands)):
channel_type = 'L' # 8-bit unorm
channel_pattern = hopper(channel_type)
# paste pattern with varying offsets to avoid correlation
# potentially hiding some bugs (like channels getting mixed).
paste_offset = (
int(band_ndx / float(len(bands)) * channel_pattern.size[0]),
int(band_ndx / float(len(bands) * 2) * channel_pattern.size[1])
)
channel_data = Image.new(channel_type, channel_pattern.size)
for delta in nine_grid_deltas:
channel_data.paste(channel_pattern, tuple(paste_offset[c] + delta[c]*channel_pattern.size[c] for c in range(2)))
chans.append(channel_data)
return Image.merge(mode, chans)
def create_test_image():
# set up test image with something interesting in the tested aux
# channel.
nine_grid_deltas = [
(-1, -1),
(-1, 0),
(-1, 1),
(0, -1),
(0, 0),
(0, 1),
(1, -1),
(1, 0),
(1, 1),
]
chans = []
bands = ImageMode.getmode(mode).bands
for band_ndx in range(len(bands)):
channel_type = 'L' # 8-bit unorm
channel_pattern = hopper(channel_type)
# paste pattern with varying offsets to avoid correlation
# potentially hiding some bugs (like channels getting mixed).
paste_offset = (int(band_ndx / float(len(bands)) *
channel_pattern.size[0]),
int(band_ndx / float(len(bands) * 2) *
channel_pattern.size[1]))
channel_data = Image.new(channel_type, channel_pattern.size)
for delta in nine_grid_deltas:
channel_data.paste(
channel_pattern,
tuple(paste_offset[c] +
delta[c] * channel_pattern.size[c]
for c in range(2)))
chans.append(channel_data)
return Image.merge(mode, chans)
def color_count(image):
""" Return the number of color values in the input image --
this is the number of pixels times the band count
of the image.
"""
mode_descriptor = ImageMode.getmode(image.mode)
width, height = image.size
return width * height * len(mode_descriptor.bands)
def __init__(self, default_factory, *args, **kwargs):
if default_factory is None:
default_factory = NOOp
if not callable(default_factory):
raise AttributeError(
"ChannelFork() requires a callable default_factory.")
self.channels = ImageMode.getmode(kwargs.pop('mode',
self.default_mode))
super(ChannelFork, self).__init__(default_factory, *args, **kwargs)
def __init__(self, default_factory, *args, **kwargs):
if default_factory is None:
default_factory = NOOp
if not callable(default_factory):
raise AttributeError(
"ChannelFork() requires a callable default_factory.")
self.channels = ImageMode.getmode(
kwargs.pop('mode', self.default_mode))
super(ChannelFork, self).__init__(default_factory, *args, **kwargs)
def get_image(mode):
mode_info = ImageMode.getmode(mode)
if mode_info.basetype == "L":
bands = [gradients_image]
for _ in mode_info.bands[1:]:
# rotate previous image
band = bands[-1].transpose(Image.ROTATE_90)
bands.append(band)
# Correct alpha channel by transforming completely transparent pixels.
# Low alpha values also emphasize error after alpha multiplication.
if mode.endswith("A"):
bands[-1] = bands[-1].point(lambda x: int(85 + x / 1.5))
im = Image.merge(mode, bands)
else:
assert len(mode_info.bands) == 1
im = gradients_image.convert(mode)
# change the height to make a not-square image
return im.crop((0, 0, im.width, im.height - 5))
def assert_compare_images(a, b, max_average_diff, max_diff=255):
assert a.mode == b.mode, f"got mode {repr(a.mode)}, expected {repr(b.mode)}"
assert a.size == b.size, f"got size {repr(a.size)}, expected {repr(b.size)}"
a, b = convert_to_comparable(a, b)
bands = ImageMode.getmode(a.mode).bands
for band, ach, bch in zip(bands, a.split(), b.split()):
ch_diff = ImageMath.eval("convert(abs(a - b), 'L')", a=ach, b=bch)
ch_hist = ch_diff.histogram()
average_diff = sum(
i * num for i, num in enumerate(ch_hist)) / (a.size[0] * a.size[1])
msg = (f"average pixel value difference {average_diff:.4f} > "
f"expected {max_average_diff:.4f} for '{band}' band")
assert max_average_diff >= average_diff, msg
last_diff = [i for i, num in enumerate(ch_hist) if num > 0][-1]
assert max_diff >= last_diff, (
f"max pixel value difference {last_diff} > expected {max_diff} "
f"for '{band}' band")
def assert_compare_images(a, b, max_average_diff, max_diff=255):
assert a.mode == b.mode, "got mode %r, expected %r" % (a.mode, b.mode)
assert a.size == b.size, "got size %r, expected %r" % (a.size, b.size)
a, b = convert_to_comparable(a, b)
bands = ImageMode.getmode(a.mode).bands
for band, ach, bch in zip(bands, a.split(), b.split()):
ch_diff = ImageMath.eval("convert(abs(a - b), 'L')", a=ach, b=bch)
ch_hist = ch_diff.histogram()
average_diff = sum(
i * num for i, num in enumerate(ch_hist)) / (a.size[0] * a.size[1])
msg = ("average pixel value difference {:.4f} > expected {:.4f} "
"for '{}' band".format(average_diff, max_average_diff, band))
assert max_average_diff >= average_diff, msg
last_diff = [i for i, num in enumerate(ch_hist) if num > 0][-1]
assert (
max_diff >= last_diff
), "max pixel value difference {} > expected {} for '{}' band".format(
last_diff, max_diff, band)
import contextlib
import numpy
import os
from PIL import Image, ImageMode
from enum import auto, unique
from clu.constants.consts import DEBUG, ENCODING
from clu.enums import alias, AliasingEnum
from clu.naming import split_abbreviations
from clu.predicates import attr, getpyattr, isclasstype, or_none
from clu.typespace.namespace import Namespace
from clu.typology import string_types
junkdrawer = Namespace()
junkdrawer.imode = lambda image: ImageMode.getmode(image.mode)
ImageMode.getmode('RGB') # one call must be made to getmode()
# to properly initialize ImageMode._modes:
junkdrawer.modes = ImageMode._modes
junkdrawer.types = Image._MODE_CONV
junkdrawer.ismap = Image._MAPMODES
mode_strings = tuple(junkdrawer.modes.keys())
dtypes_for_modes = {k: v[0] for k, v in junkdrawer.types.items()}
junkdrawer.idxmode = lambda idx: ImageMode.getmode(mode_strings[idx])
junkdrawer.is_mapped = lambda mode: mode in junkdrawer.ismap
#!/usr/bin/env python
# encoding: utf-8
from __future__ import print_function
import contextlib
import numpy
import os
from PIL import Image, ImageMode
from enum import auto, unique
from instakit.abc import Enum
from instakit.utils import misc
junkdrawer = misc.Namespace()
junkdrawer.imode = lambda image: ImageMode.getmode(image.mode)
def split_abbreviations(s):
""" Split a string into a tuple of its unique constituents,
based on its internal capitalization -- to wit:
>>> split_abbreviations('RGB')
('R', 'G', 'B')
>>> split_abbreviations('CMYK')
('C', 'M', 'Y', 'K')
>>> split_abbreviations('YCbCr')
('Y', 'Cb', 'Cr')
>>> split_abbreviations('sRGB')
('R', 'G', 'B')
>>> split_abbreviations('XYZZ')
('X', 'Y', 'Z')
from tester import *
from PIL import Image
from PIL import ImageMode
ImageMode.getmode("1")
ImageMode.getmode("L")
ImageMode.getmode("P")
ImageMode.getmode("RGB")
ImageMode.getmode("I")
ImageMode.getmode("F")
m = ImageMode.getmode("1")
assert_equal(m.mode, "1")
assert_equal(m.bands, ("1",))
assert_equal(m.basemode, "L")
assert_equal(m.basetype, "L")
m = ImageMode.getmode("RGB")
assert_equal(m.mode, "RGB")
assert_equal(m.bands, ("R", "G", "B"))
assert_equal(m.basemode, "RGB")
assert_equal(m.basetype, "L")
def test_sanity(self):
im = hopper()
im.mode
from PIL import ImageMode
ImageMode.getmode("1")
ImageMode.getmode("L")
ImageMode.getmode("P")
ImageMode.getmode("RGB")
ImageMode.getmode("I")
ImageMode.getmode("F")
m = ImageMode.getmode("1")
self.assertEqual(m.mode, "1")
self.assertEqual(m.bands, ("1",))
self.assertEqual(m.basemode, "L")
self.assertEqual(m.basetype, "L")
m = ImageMode.getmode("RGB")
self.assertEqual(m.mode, "RGB")
self.assertEqual(m.bands, ("R", "G", "B"))
self.assertEqual(m.basemode, "RGB")
self.assertEqual(m.basetype, "L")
def test_sanity():
with hopper() as im:
im.mode
ImageMode.getmode("1")
ImageMode.getmode("L")
ImageMode.getmode("P")
ImageMode.getmode("RGB")
ImageMode.getmode("I")
ImageMode.getmode("F")
m = ImageMode.getmode("1")
assert m.mode == "1"
assert str(m) == "1"
assert m.bands == ("1",)
assert m.basemode == "L"
assert m.basetype == "L"
for mode in (
"I;16",
"I;16S",
"I;16L",
"I;16LS",
"I;16B",
"I;16BS",
"I;16N",
"I;16NS",
):
m = ImageMode.getmode(mode)
assert m.mode == mode
assert str(m) == mode
assert m.bands == ("I",)
assert m.basemode == "L"
assert m.basetype == "L"
m = ImageMode.getmode("RGB")
assert m.mode == "RGB"
assert str(m) == "RGB"
assert m.bands == ("R", "G", "B")
assert m.basemode == "RGB"
assert m.basetype == "L"
def test_sanity(self):
ImageMode.getmode("1")
ImageMode.getmode("L")
ImageMode.getmode("P")
ImageMode.getmode("RGB")
ImageMode.getmode("I")
ImageMode.getmode("F")
m = ImageMode.getmode("1")
self.assertEqual(m.mode, "1")
self.assertEqual(m.bands, ("1",))
self.assertEqual(m.basemode, "L")
self.assertEqual(m.basetype, "L")
m = ImageMode.getmode("RGB")
self.assertEqual(m.mode, "RGB")
self.assertEqual(m.bands, ("R", "G", "B"))
self.assertEqual(m.basemode, "RGB")
self.assertEqual(m.basetype, "L")
def test_sanity(self):
im = hopper()
im.mode
from PIL import ImageMode
ImageMode.getmode("1")
ImageMode.getmode("L")
ImageMode.getmode("P")
ImageMode.getmode("RGB")
ImageMode.getmode("I")
ImageMode.getmode("F")
m = ImageMode.getmode("1")
self.assertEqual(m.mode, "1")
self.assertEqual(str(m), "1")
self.assertEqual(m.bands, ("1", ))
self.assertEqual(m.basemode, "L")
self.assertEqual(m.basetype, "L")
for mode in ("I;16", "I;16S", "I;16L", "I;16LS", "I;16B", "I;16BS",
"I;16N", "I;16NS"):
m = ImageMode.getmode(mode)
self.assertEqual(m.mode, mode)
self.assertEqual(str(m), mode)
self.assertEqual(m.bands, ("I", ))
self.assertEqual(m.basemode, "L")
self.assertEqual(m.basetype, "L")
m = ImageMode.getmode("RGB")
self.assertEqual(m.mode, "RGB")
self.assertEqual(str(m), "RGB")
self.assertEqual(m.bands, ("R", "G", "B"))
self.assertEqual(m.basemode, "RGB")
self.assertEqual(m.basetype, "L")
from tester import *
from PIL import Image
from PIL import ImageMode
ImageMode.getmode("1")
ImageMode.getmode("L")
ImageMode.getmode("P")
ImageMode.getmode("RGB")
ImageMode.getmode("I")
ImageMode.getmode("F")
m = ImageMode.getmode("1")
assert_equal(m.mode, "1")
assert_equal(m.bands, ("1", ))
assert_equal(m.basemode, "L")
assert_equal(m.basetype, "L")
m = ImageMode.getmode("RGB")
assert_equal(m.mode, "RGB")
assert_equal(m.bands, ("R", "G", "B"))
assert_equal(m.basemode, "RGB")
assert_equal(m.basetype, "L")
def _set_mode(self, mode_string):
self.channels = ImageMode.getmode(mode_string)
def _set_mode(self, mode_string):
self.channels = ImageMode.getmode(mode_string)