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| Author | SHA1 | Date | |
|---|---|---|---|
| 81aac10665 | |||
| 3ce230adfe |
20
konabot/docs/user/卵总展示.txt
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20
konabot/docs/user/卵总展示.txt
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@ -0,0 +1,20 @@
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指令介绍
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卵总展示 - 让卵总举起你的图片
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格式
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<引用图片> 卵总展示 [选项]
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卵总展示 [选项] <图片>
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选项
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`--whiteness <number>` 白度
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将原图进行指数变换,以调整它的白的程度,默认为 0.0
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`--black-level <number>` 黑色等级
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将原图减淡,数值越大越淡,范围 0.0-1.0,默认 0.2
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`--opacity <number>` 不透明度
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将你的图片叠放在图片上的不透明度,默认为 0.8
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`--saturation <number>` 饱和度
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调整原图的饱和度,应该要大于 0.0,默认为 0.85
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@ -2,7 +2,7 @@ from io import BytesIO
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from typing import Iterable, cast
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from nonebot import on_message
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from nonebot_plugin_alconna import (Alconna, Args, Field, Image, MultiVar, Text,
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from nonebot_plugin_alconna import (Alconna, Args, Field, Image, MultiVar, Option, Text,
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UniMessage, UniMsg, on_alconna)
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from konabot.common.nb.extract_image import PIL_Image, extract_image_from_message
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@ -143,12 +143,19 @@ async def _(msg: UniMsg, evt: Event, bot: Bot):
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snaur_display_cmd = on_alconna(Alconna(
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"卵总展示",
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Option("--whiteness", Args["whiteness", float], alias=["-w"]),
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Option("--black-level", Args["black_level", float], alias=["-b"]),
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Option("--opacity", Args["opacity", float], alias=["-o"]),
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Option("--saturation", Args["saturation", float], alias=["-s"]),
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Args["image", Image | None],
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))
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@snaur_display_cmd.handle()
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async def _(img: PIL_Image):
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img_processed = await draw_snaur_display(img)
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async def _(img: PIL_Image, whiteness: float = 0.0, black_level: float = 0.2,
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opacity: float = 0.8, saturation: float = 0.85):
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img_processed = await draw_snaur_display(
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img, whiteness, black_level, opacity, saturation,
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)
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img_data = BytesIO()
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img_processed.save(img_data, "PNG")
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await snaur_display_cmd.send(await UniMessage().image(raw=img_data).export())
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@ -57,8 +57,14 @@ async def draw_cao_display(image: PIL.Image.Image):
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return await asyncio.to_thread(_draw_cao_display, image)
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def _draw_snaur_display(image: PIL.Image.Image):
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src = np.array(image.convert("RGB"))
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def _draw_snaur_display(
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image : PIL.Image.Image,
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whiteness : float = 0.0 ,
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black_level: float = 0.2 ,
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opacity : float = 0.8 ,
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saturation : float = 0.85 ,
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):
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src = np.array(image.convert("RGBA"))
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_h, _w = src.shape[:2]
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if _w / _h < SNAUR_RATIO:
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@ -98,20 +104,38 @@ def _draw_snaur_display(image: PIL.Image.Image):
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borderValue=(0, 0, 0)
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)
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result = PIL.Image.fromarray(warped, 'RGB').convert('RGBA')
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result = PIL.ImageChops.multiply(result, snaur_image_base)
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result = PIL.Image.fromarray(warped, 'RGBA')
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r, g, b, a = result.split()
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a = a.point(lambda p: int(p * 0.8))
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a = a.point(lambda p: int(p * opacity))
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f2 = lambda p: int(
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((p / 255) ** (2 ** whiteness)) * 255 * (1 - black_level)
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+ 255 * black_level
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)
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r = r.point(f2)
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g = g.point(f2)
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b = b.point(f2)
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result = PIL.Image.merge('RGBA', (r, g, b, a))
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enhancer = PIL.ImageEnhance.Color(result)
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result = enhancer.enhance(0.85)
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result = enhancer.enhance(saturation)
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result = PIL.ImageChops.multiply(result, snaur_image_base)
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result = PIL.Image.alpha_composite(snaur_image_base, result)
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result = PIL.Image.alpha_composite(result, snaur_image_top)
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return result
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async def draw_snaur_display(image: PIL.Image.Image) -> PIL.Image.Image:
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return await asyncio.to_thread(_draw_snaur_display, image)
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async def draw_snaur_display(
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image : PIL.Image.Image,
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whiteness : float = 0.0 ,
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black_level: float = 0.2 ,
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opacity : float = 0.8 ,
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saturation : float = 0.85 ,
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) -> PIL.Image.Image:
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return await asyncio.to_thread(
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_draw_snaur_display, image, whiteness, black_level,
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opacity, saturation,
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)
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