lofyerandfactory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
3ccd044527
新增 PDF/EPUB/MOBI/AZW 内置阅读器，PDF 分段读取支持超大文件， 批注、读书与画布笔记、封面生成与本地导入。AI 助手支持三种协议、 图像上下文与安全 Markdown 渲染，上下文范围改为 选中/当前页/全文， 页面与全文无需选中文本即可发送，全文会提示可能超出模型限制。 便携版输出目录固定为 PeopleLib-windows-x64，不再随版本号变化， 避免升级后 data/ 被遗留在旧目录。 Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
96 lines
3.0 KiB
Python
96 lines
3.0 KiB
Python
"""Crop the source renders to the icon tile and export PNG sizes plus .ico files."""
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import numpy as np
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from PIL import Image
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ROOT = "D:/my_git/peoplelib/icons"
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SIZES = [1024, 512, 256, 128, 64, 48, 32, 16]
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ICO_SIZES = [256, 128, 64, 48, 32, 16]
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SS = 4
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SOURCES = [
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("light", f"{ROOT}/ChatGPT_0CjIH8EmAj.png"),
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("dark", f"{ROOT}/ChatGPT_RAga3pG7De.png"),
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]
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def tile_mask(rgb):
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a = rgb.astype(int)
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r, g, b = a[..., 0], a[..., 1], a[..., 2]
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# Anything that is not the near-white page background belongs to the artwork.
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return (a.sum(2) < 748) | (np.abs(r - b) > 4) | (np.abs(g - b) > 4)
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def tile_bbox(mask):
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cols = mask.sum(0)
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rows = mask.sum(1)
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xs = np.where(cols > cols.max() * 0.35)[0]
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ys = np.where(rows > rows.max() * 0.35)[0]
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x0, x1, y0, y1 = xs.min(), xs.max(), ys.min(), ys.max()
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# The renders carry a drop shadow below the tile, so trust the width and
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# square the crop downward from the top edge.
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side = x1 - x0 + 1
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return x0, x1, y0, y0 + side - 1
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def corner_radius(mask, x0, x1, y0, y1):
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ests = []
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for d in range(10, int((y1 - y0) * 0.18)):
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idx = np.where(mask[y0 + d, x0:x1 + 1])[0]
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if not len(idx) or idx.min() <= 0:
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continue
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x = float(idx.min())
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ests.append((d + x) + np.sqrt(2.0 * d * x))
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return float(np.median(ests)) if ests else (x1 - x0) * 0.21
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def rounded_alpha(w, h, radius, size):
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n = size * SS
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ys, xs = np.mgrid[0:n, 0:n].astype(np.float64)
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# Map supersampled pixel centres back onto the source tile grid.
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px = (xs + 0.5) / n * w
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py = (ys + 0.5) / n * h
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r = radius
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dx = np.clip(r - px, 0, None) + np.clip(px - (w - r), 0, None)
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dy = np.clip(r - py, 0, None) + np.clip(py - (h - r), 0, None)
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inside = (dx * dx + dy * dy) <= r * r
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cov = inside.reshape(size, SS, size, SS).mean((1, 3))
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return (cov * 255).round().astype(np.uint8)
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def build(name, path):
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src = Image.open(path).convert("RGB")
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mask = tile_mask(np.asarray(src))
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x0, x1, y0, y1 = tile_bbox(mask)
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radius = corner_radius(mask, x0, x1, y0, y1)
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tile = src.crop((x0, y0, x1 + 1, y1 + 1))
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w, h = tile.size
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print(f"{name}: tile {w}x{h} radius {radius:.1f}")
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outdir = f"{ROOT}/dist/{name}"
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import os
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os.makedirs(outdir, exist_ok=True)
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frames = {}
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for size in SIZES:
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img = tile.resize((size, size), Image.LANCZOS).convert("RGBA")
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img.putalpha(Image.fromarray(rounded_alpha(w, h, radius, size), "L"))
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img.save(f"{outdir}/icon-{size}.png", optimize=True)
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frames[size] = img
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frames[1024].save(f"{ROOT}/dist/book-ai-{name}.ico", format="ICO",
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sizes=[(s, s) for s in ICO_SIZES])
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return frames[512]
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def main():
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previews = [build(n, p) for n, p in SOURCES]
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gap = 32
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sheet = Image.new("RGBA", (512 * 2 + gap * 3, 512 + gap * 2), (128, 128, 128, 255))
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for i, img in enumerate(previews):
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sheet.paste(img, (gap + i * (512 + gap), gap), img)
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sheet.save(f"{ROOT}/dist/preview.png")
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if __name__ == "__main__":
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main()
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