Ap_Tx
8e9b0894ba
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32 lines
1.2 KiB
Python
32 lines
1.2 KiB
Python
from PIL import Image
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import numpy as np
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from scipy import ndimage
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src = r"C:\Users\28579\Downloads\resources\resources\netherstar.png"
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dst = r"D:\Project\Starlight_Lancher\apps\app-frontend\public\models\netherstar.png"
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im = Image.open(src).convert("RGBA")
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arr = np.array(im, dtype=np.float32)
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r, g, b, a = arr[..., 0], arr[..., 1], arr[..., 2], arr[..., 3]
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# 1) 完全不透明像素的位置
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opaque = a >= 254
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# 2) 对每个通道，用最近的不透明像素值填充（距离变换的索引）
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# 用一个临时：在 opaque 区域保留原 RGB，其余待填
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h, w = a.shape
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# 用 scipy 的 distance_transform_edt 拿到"最近的 opaque 像素索引"
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indices = ndimage.distance_transform_edt(~opaque, return_distances=False, return_indices=True)
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nearest_rgb = arr[indices[0], indices[1], :3]
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# 3) 半透明区域（a < 254 且 a > 0）的 RGB 换成最近不透明像素颜色
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semi = (a > 0) & (a < 254)
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out = arr.copy()
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out[semi, 0:3] = nearest_rgb[semi]
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# 4) 可选：收紧极小 alpha（<8 直接透明），减少杂边
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out[a < 8, 3] = 0
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out_img = Image.fromarray(np.clip(out, 0, 255).astype(np.uint8), "RGBA")
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out_img.save(dst)
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print("done ->", dst)
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print("尺寸:", out_img.size) |