merge: 像素化管线 v4 批落籍——双路择优(屏障法+漏灌检测回落底色门)、档位翻倍 96/128/192、吃描边去白边、duergar 漏灌/钩爪恐魔同色系影两 FATAL 修复;八敌种像素候选稿+四联底测试条+总览全量重出待用户验收
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@@ -1,34 +1,36 @@
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""远程生图候选 → 像素化候选稿(v1.3 五步流程第 4 步:去底转透明+最近邻降采样+色板量化+四联底测试条)。
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"""远程生图候选 → 像素化候选稿 v3(v1.3 五步流程第 4 步)。
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v3 演进(2026-09-27 用户四问题:脏点/模糊/信息丢失/白边):
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- 档位翻倍: 普通怪 96 / 精英 128 / Boss 192(终值仍归战斗一屏样张批)
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- 去底去影 = 「奶油描边屏障法」: 描边膨胀 3px 作屏障,从图缘一口吞掉底色+地面影
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(v1 的影色相规则对 hook_horror 同色系必误吞,废弃)
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- 白边 = 吃描边: 主色距离门 + 「底色↔主色线段」反锯齿混合带桥(限层深,防深入本体)
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- 教训: 不做第二遍低膨胀洪泛——JPEG 噪点在描边开 1-2px 缺口会洪灌本体
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(duergar 甲面被吃空实证);屏障只跑一遍 dil=3
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用法: python tools/pixelize_candidates.py <候选批次目录>
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目录下每个 <资产>/vN.(png|jpg) 出一对产物:
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<资产>/pixel-vN.png 目标尺寸像素稿(紧裁剪)
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<资产>/pixel-vN-strip.png 四联底测试条(4x 放大)
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外加 0-像素化预览.png 总览拼版。
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目标尺寸(art-bible §8.2 三档候选,终值归战斗一屏样张批):
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普通怪(小)=48: goblin giant_spider hook_horror
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精英(中)=64: bugbear duergar
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Boss(大)=96: ogre_chief drider duergar_king
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参数(代拟待追认): BOX 4x 预滤→48 色量化→NEAREST 到 1x。
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"""
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import sys, os
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from collections import deque, Counter
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from PIL import Image
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SIZES = {"goblin": 48, "giant_spider": 48, "hook_horror": 48,
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"bugbear": 64, "duergar": 64,
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"ogre_chief": 96, "drider": 96, "duergar_king": 96}
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BG_TOL = 48 # 与底色色距,一阶洪泛
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GRAD_TOL = 14 # 与来路像素色距,底色渐变跟随
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SHADOW_GRAY_SAT = 0.10 # 纯灰影饱和上限
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SHADOW_PURPLE = (255, 350, 0.35, 0.45) # 暗紫影: 色相域, 饱和上限, 明度上限
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SHADOW_WARM = (15, 45, 0.32, 0.42) # 暖灰影(棕调): 色相域, 饱和上限, 明度上限
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# 注:无"冷调浅灰"规则——hook_horror 身体与影同色系,色相法必误吞,其影留手修
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SHADOW_Y_MIN = 0.55 # 吞影只在画面底部 45% 区域(防误吞身体)
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QUANT_COLORS = 48
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SIZES = {"goblin": 96, "giant_spider": 96, "hook_horror": 96,
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"bugbear": 128, "duergar": 128,
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"ogre_chief": 192, "drider": 192, "duergar_king": 192}
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BG_TOL = 48
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CREAT_HUE = (28, 100) # 奶油/骨色相域
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CREAT_S = (0.07, 0.55) # 屏障用饱和域
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CREAT_V = 0.58
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BARRIER_DILATE = 3
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OUTLINE_TOL = 48 # 吃描边:与主色最大色距
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EAT_S_MIN = 0.02
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OUTLINE_PROBE = 6 # 主色采样:透明区膨胀半径
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BRIDGE_DEPTH = 4 # 混合带桥最大层深
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BRIDGE_SEG_TOL = 14 # 到底色↔主色线段的距离
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BRIDGE_S_MAX = 0.10
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BRIDGE_V_MIN = 0.70
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QUANT_COLORS = 64
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STRIP_BGS = [("brick", (201, 175, 131)), ("floor", (179, 154, 120)),
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("bright", (232, 224, 208)), ("dark", (58, 58, 68))]
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@@ -42,18 +44,65 @@ def hsv(r, g, b):
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else: h = 60 * (r - g) / d + 240
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return h, (d / mx if mx else 0), mx / 255
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def is_shadow(c):
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def is_cream(c):
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h, s, v = hsv(*c)
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if s < SHADOW_GRAY_SAT:
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return True
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for h0, h1, smax, vmax in (SHADOW_PURPLE, SHADOW_WARM):
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in_hue = h0 <= h <= h1 if h0 < h1 else (h >= h0 or h <= h1)
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if in_hue and s < smax and v < vmax:
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return True
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return False
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h0, h1 = CREAT_HUE
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return h0 <= h <= h1 and CREAT_S[0] <= s <= CREAT_S[1] and v >= CREAT_V
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def remove_bg(im):
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"""角点取底色洪泛去底,再从透明边界吞灰影/暗紫影。返回 RGBA。"""
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def dist(a, b):
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return abs(a[0] - b[0]) + abs(a[1] - b[1]) + abs(a[2] - b[2])
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def seg_dist(c, a, b):
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"""c 到线段 a-b 的最小欧氏距离(反锯齿混合带判据)。"""
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ab = (b[0] - a[0], b[1] - a[1], b[2] - a[2])
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ac = (c[0] - a[0], c[1] - a[1], c[2] - a[2])
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ab2 = ab[0] ** 2 + ab[1] ** 2 + ab[2] ** 2
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t = 0.0
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if ab2:
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t = max(0.0, min(1.0, (ac[0] * ab[0] + ac[1] * ab[1] + ac[2] * ab[2]) / ab2))
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p = (a[0] + ab[0] * t, a[1] + ab[1] * t, a[2] + ab[2] * t)
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return dist(c, p)
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def dilate(mask, w, hgt, n):
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for _ in range(n):
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nb = [row[:] for row in mask]
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for y in range(hgt):
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row = mask[y]
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for x in range(w):
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if not row[x]:
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if (x > 0 and row[x - 1]) or (x < w - 1 and row[x + 1]) \
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or (y > 0 and mask[y - 1][x]) or (y < hgt - 1 and mask[y + 1][x]):
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nb[y][x] = True
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mask = nb
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return mask
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def barrier_flood(im):
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"""优雅路径:奶油描边膨胀成屏障,从图缘吞掉底色+影。描边被影压暗开缺口时会漏灌。"""
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im = im.convert("RGB")
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w, hgt = im.size
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px = im.load()
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barrier = dilate([[is_cream(px[x, y]) for x in range(w)] for y in range(hgt)], w, hgt, BARRIER_DILATE)
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alpha = [[255] * w for _ in range(hgt)]
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seen = [[False] * w for _ in range(hgt)]
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q = deque()
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for x in range(w):
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q.append((x, 0)); q.append((x, hgt - 1))
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for y in range(hgt):
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q.append((0, y)); q.append((w - 1, y))
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while q:
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x, y = q.popleft()
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if x < 0 or y < 0 or x >= w or y >= hgt or seen[y][x]:
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continue
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seen[y][x] = True
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if barrier[y][x]:
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continue
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alpha[y][x] = 0
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for dx, dy in ((1, 0), (-1, 0), (0, 1), (0, -1)):
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q.append((x + dx, y + dy))
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return im, w, hgt, alpha
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def bg_flood(im):
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"""稳妥路径:底色门+梯度跟随洪泛去底,再按影色规则吞影(v1 逻辑,轮廓最稳)。"""
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im = im.convert("RGB")
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w, hgt = im.size
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px = im.load()
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@@ -62,30 +111,26 @@ def remove_bg(im):
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alpha = [[255] * w for _ in range(hgt)]
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seen = [[False] * w for _ in range(hgt)]
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q = deque()
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def dist(a, b):
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return abs(a[0] - b[0]) + abs(a[1] - b[1]) + abs(a[2] - b[2])
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for x in range(w):
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for y in (0, hgt - 1):
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q.append((x, y, bg))
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q.append((x, 0, bg)); q.append((x, hgt - 1, bg))
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for y in range(hgt):
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for x in (0, w - 1):
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q.append((x, y, bg))
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q.append((0, y, bg)); q.append((w - 1, y, bg))
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while q:
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x, y, ref = q.popleft()
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if x < 0 or y < 0 or x >= w or y >= hgt or seen[y][x]:
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continue
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seen[y][x] = True
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c = px[x, y]
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if dist(c, ref) > GRAD_TOL and dist(c, bg) > BG_TOL:
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if dist(c, ref) > 14 and dist(c, bg) > BG_TOL:
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continue
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alpha[y][x] = 0
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for dx, dy in ((1, 0), (-1, 0), (0, 1), (0, -1)):
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q.append((x + dx, y + dy, bg if dist(c, bg) <= BG_TOL else c))
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# 第二遍:从透明边界吞影(奶油描边色相/饱和均不符,进不去);只在底部区域
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# 影色规则:纯灰/暗紫/暖暗,只吞底部 45% 区域
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q = deque()
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for y in range(hgt):
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for x in range(w):
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if alpha[y][x] == 0 and y >= hgt * SHADOW_Y_MIN:
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if alpha[y][x] == 0 and y >= hgt * 0.55:
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q.append((x, y))
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while q:
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x, y = q.popleft()
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@@ -93,9 +138,88 @@ def remove_bg(im):
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nx, ny = x + dx, y + dy
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if nx < 0 or ny < 0 or nx >= w or ny >= hgt or alpha[ny][nx] == 0:
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continue
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if is_shadow(px[nx, ny]):
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h, s, v = hsv(*px[nx, ny])
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ok = s < 0.10
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if not ok:
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for h0, h1, smax, vmax in ((255, 350, 0.35, 0.45), (15, 45, 0.32, 0.42)):
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in_hue = h0 <= h <= h1 if h0 < h1 else (h >= h0 or h <= h1)
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if in_hue and s < smax and v < vmax:
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ok = True
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break
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if ok:
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alpha[ny][nx] = 0
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q.append((nx, ny))
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return im, w, hgt, alpha
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def eat_outline(im, w, hgt, alpha):
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"""吃描边:主色距离门 + 底色↔主色线段混合带桥(限层深)。"""
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px = im.load()
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corners = [px[x, y] for x, y in ((2, 2), (w - 3, 2), (2, hgt - 3), (w - 3, hgt - 3))]
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bg = Counter(corners).most_common(1)[0][0]
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near = [[False] * w for _ in range(hgt)]
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for y in range(hgt):
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for x in range(w):
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if alpha[y][x] == 0:
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for dy in range(-OUTLINE_PROBE, OUTLINE_PROBE + 1):
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for dx in range(-OUTLINE_PROBE, OUTLINE_PROBE + 1):
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nx, ny = x + dx, y + dy
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if 0 <= nx < w and 0 <= ny < hgt:
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near[ny][nx] = True
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cnt = Counter()
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for y in range(hgt):
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for x in range(w):
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if alpha[y][x] == 255 and near[y][x] and is_cream(px[x, y]):
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c = px[x, y]
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cnt[(c[0] // 8 * 8, c[1] // 8 * 8, c[2] // 8 * 8)] += 1
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if not cnt:
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return
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base = cnt.most_common(1)[0][0]
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layer = [[-1] * w for _ in range(hgt)]
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dq = deque()
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for y in range(hgt):
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for x in range(w):
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if alpha[y][x] == 0:
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layer[y][x] = 0
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dq.append((x, y))
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while dq:
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x, y = dq.popleft()
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for dx, dy in ((1, 0), (-1, 0), (0, 1), (0, -1)):
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nx, ny = x + dx, y + dy
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if 0 <= nx < w and 0 <= ny < hgt and layer[ny][nx] == -1:
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layer[ny][nx] = layer[y][x] + 1
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dq.append((nx, ny))
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q = deque()
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for y in range(hgt):
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for x in range(w):
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if alpha[y][x] == 0:
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q.append((x, y))
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while q:
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x, y = q.popleft()
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for dx, dy in ((1, 0), (-1, 0), (0, 1), (0, -1)):
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nx, ny = x + dx, y + dy
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if nx < 0 or ny < 0 or nx >= w or ny >= hgt or alpha[ny][nx] == 0:
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continue
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c = px[nx, ny]
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h, s, v = hsv(*c)
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h0, h1 = CREAT_HUE
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main = dist(c, base) <= OUTLINE_TOL and h0 <= h <= h1 and s >= EAT_S_MIN and v >= CREAT_V
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bridge = (layer[ny][nx] <= BRIDGE_DEPTH and s <= BRIDGE_S_MAX
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and v >= BRIDGE_V_MIN and seg_dist(c, base, bg) <= BRIDGE_SEG_TOL)
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if main or bridge:
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alpha[ny][nx] = 0
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q.append((nx, ny))
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def remove_bg(im):
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"""双路择优:屏障法漏灌(描边被影压暗开缺口)时自动回落底色门路径。"""
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im1, w, hgt, a1 = barrier_flood(im)
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n1 = sum(row.count(255) for row in a1)
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im2, _, _, a2 = bg_flood(im)
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n2 = sum(row.count(255) for row in a2)
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if n1 < 0.6 * n2: # 屏障法保留面积崩塌 = 漏灌,回落稳妥路径
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im, alpha = im2, a2
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else:
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im, alpha = im1, a1
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eat_outline(im, w, hgt, alpha)
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out = im.convert("RGBA")
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pa = out.load()
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for y in range(hgt):
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@@ -132,7 +256,7 @@ def strip(spr, path):
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panel = Image.new("RGBA", (cell, cell), bg + (255,))
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panel.alpha_composite(spr, ((cell - spr.width) // 2, (cell - spr.height) // 2))
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sheet.paste(panel, (i * cell, 0))
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sheet = sheet.resize((sheet.width * 3, sheet.height * 3), Image.NEAREST)
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sheet = sheet.resize((sheet.width * 2, sheet.height * 2), Image.NEAREST)
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sheet.save(path)
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def main(root):
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@@ -142,9 +266,9 @@ def main(root):
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if not os.path.isdir(d):
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continue
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for f in sorted(os.listdir(d)):
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if not f.startswith("v") or f.endswith(".strip.png") or "pixel" in f:
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if not f.startswith("v") or "pixel" in f:
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continue
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n = f[1].split(".")[0] if f[1].isdigit() else f
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n = f[1].split(".")[0] if len(f) > 1 and f[1].isdigit() else f
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src = Image.open(os.path.join(d, f))
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rgba = remove_bg(src)
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spr = pixelize(rgba, target)
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@@ -155,10 +279,7 @@ def main(root):
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print("%-14s %s %sx%s -> %s" % (asset, f, spr.width, spr.height, outp))
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if thumbs:
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pad = 8
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w = sum(max(t.width for _, _, t in thumbs if a == thumbs[0][0]) for a, _, _ in []) # placeholder
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cols = []
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rows, row, rw = [], [], 0
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H = 110
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for asset, target, t in thumbs:
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if rw + t.width + pad > 1400 and row:
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rows.append(row); row, rw = [], 0
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