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https://github.com/python-pillow/Pillow.git
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155 lines
3.6 KiB
Python
155 lines
3.6 KiB
Python
from __future__ import annotations
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import colorsys
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import itertools
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from typing import Callable
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from PIL import Image
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from .helper import assert_image_similar, hopper
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def int_to_float(i: int) -> float:
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return i / 255
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def tuple_to_ints(tp: tuple[float, float, float]) -> tuple[int, int, int]:
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x, y, z = tp
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return int(x * 255.0), int(y * 255.0), int(z * 255.0)
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def test_sanity() -> None:
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Image.new("HSV", (100, 100))
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def wedge() -> Image.Image:
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w = Image._wedge()
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w90 = w.rotate(90)
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(px, h) = w.size
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r = Image.new("L", (px * 3, h))
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g = r.copy()
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b = r.copy()
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r.paste(w, (0, 0))
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r.paste(w90, (px, 0))
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g.paste(w90, (0, 0))
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g.paste(w, (2 * px, 0))
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b.paste(w, (px, 0))
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b.paste(w90, (2 * px, 0))
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img = Image.merge("RGB", (r, g, b))
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return img
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def to_xxx_colorsys(
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im: Image.Image,
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func: Callable[[float, float, float], tuple[float, float, float]],
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mode: str,
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) -> Image.Image:
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# convert the hard way using the library colorsys routines.
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(r, g, b) = im.split()
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conv_func = int_to_float
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converted = [
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tuple_to_ints(func(conv_func(_r), conv_func(_g), conv_func(_b)))
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for (_r, _g, _b) in itertools.zip_longest(r.tobytes(), g.tobytes(), b.tobytes())
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]
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new_bytes = b"".join(
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bytes(chr(h) + chr(s) + chr(v), "latin-1") for (h, s, v) in converted
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)
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hsv = Image.frombytes(mode, r.size, new_bytes)
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return hsv
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def to_hsv_colorsys(im: Image.Image) -> Image.Image:
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return to_xxx_colorsys(im, colorsys.rgb_to_hsv, "HSV")
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def to_rgb_colorsys(im: Image.Image) -> Image.Image:
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return to_xxx_colorsys(im, colorsys.hsv_to_rgb, "RGB")
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def test_wedge() -> None:
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src = wedge().resize((3 * 32, 32), Image.Resampling.BILINEAR)
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im = src.convert("HSV")
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comparable = to_hsv_colorsys(src)
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assert_image_similar(
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im.getchannel(0), comparable.getchannel(0), 1, "Hue conversion is wrong"
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)
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assert_image_similar(
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im.getchannel(1),
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comparable.getchannel(1),
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1,
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"Saturation conversion is wrong",
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)
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assert_image_similar(
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im.getchannel(2), comparable.getchannel(2), 1, "Value conversion is wrong"
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)
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comparable = src
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im = im.convert("RGB")
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assert_image_similar(
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im.getchannel(0), comparable.getchannel(0), 3, "R conversion is wrong"
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)
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assert_image_similar(
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im.getchannel(1), comparable.getchannel(1), 3, "G conversion is wrong"
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)
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assert_image_similar(
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im.getchannel(2), comparable.getchannel(2), 3, "B conversion is wrong"
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)
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def test_convert() -> None:
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im = hopper("RGB").convert("HSV")
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comparable = to_hsv_colorsys(hopper("RGB"))
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assert_image_similar(
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im.getchannel(0), comparable.getchannel(0), 1, "Hue conversion is wrong"
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)
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assert_image_similar(
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im.getchannel(1),
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comparable.getchannel(1),
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1,
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"Saturation conversion is wrong",
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)
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assert_image_similar(
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im.getchannel(2), comparable.getchannel(2), 1, "Value conversion is wrong"
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)
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def test_hsv_to_rgb() -> None:
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comparable = to_hsv_colorsys(hopper("RGB"))
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converted = comparable.convert("RGB")
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comparable = to_rgb_colorsys(comparable)
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assert_image_similar(
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converted.getchannel(0),
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comparable.getchannel(0),
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3,
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"R conversion is wrong",
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)
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assert_image_similar(
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converted.getchannel(1),
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comparable.getchannel(1),
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3,
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"G conversion is wrong",
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)
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assert_image_similar(
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converted.getchannel(2),
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comparable.getchannel(2),
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3,
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"B conversion is wrong",
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)
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