gplan-2/tools/pixelize_candidates.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""远程生图候选 → 像素化候选稿 v3(v1.3 五步流程第 4 步)。

v3 演进(2026-09-27 用户四问题:脏点/模糊/信息丢失/白边):
  - 档位翻倍: 普通怪 96 / 精英 128 / Boss 192(终值仍归战斗一屏样张批)
  - 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
    (v1 的影色相规则对 hook_horror 同色系必误吞,废弃)
  - 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)
  - 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
    (duergar 甲面被吃空实证);屏障只跑一遍 dil=3
用法:
  python tools/pixelize_candidates.py <候选批次目录>              # v3 批量像素化(现行行为)
  python tools/pixelize_candidates.py <目录> --fixer             # +rust fixer 收网格+封闭灰袋清除
  python tools/pixelize_candidates.py <目录> --standee48 [--standee-out <game/assets/art/character>]
                                            # 九张 48px 站桩槽位档(八敌 pixel-1+主角 normal;
                                            # 底中锚/NEAREST/统一比例保体量/画布高恒 48)
--fixer(2026-09-29 迭代 6 T1 管线正式化,收编 09-28 手工批次): rust pixelfixer(Retro-Diffusion,
  MIT, D:/code/pixel-art-fixer)对原图先做网格检测+重建(收网格),v3 去底后再跑封闭灰袋清除
  (三闸=近底色∧中性灰∧组件不触图缘——防误伤盔甲与影);--fixer-exe 可换引擎路径。
"""
import sys, os, subprocess, tempfile
from collections import deque, Counter
from PIL import Image, ImageFilter

FIXER_EXE_DEFAULT = r"D:\code\pixel-art-fixer\rust\target\release\pixelfixer.exe"
FIXER_EXE = FIXER_EXE_DEFAULT        # --fixer-exe 可覆写(__main__ 解析)
STANDEE_SLOT_H = 48          # 站桩槽位源档高(×2 整数放大=盒高 96——圣经 §8.2)
STANDEE_SLOT_W_MAX = 75      # 盒宽 150 的一半(超宽才按宽收,现八敌+主角均不触)

SIZES = {"goblin": 96, "giant_spider": 96, "hook_horror": 96,
         "bugbear": 128, "duergar": 128,
         "ogre_chief": 192, "drider": 192, "duergar_king": 192}
BG_TOL = 48
CREAT_HUE = (28, 100)     # 奶油/骨色相域
CREAT_S = (0.07, 0.55)    # 屏障用饱和域
CREAT_V = 0.58
BARRIER_DILATE = 3
OUTLINE_TOL = 48          # 吃描边:与主色最大色距
EAT_S_MIN = 0.02
OUTLINE_PROBE = 6         # 主色采样:透明区膨胀半径
BRIDGE_DEPTH = 4          # 混合带桥最大层深
BRIDGE_SEG_TOL = 14       # 到底色↔主色线段的距离
BRIDGE_S_MAX = 0.10
BRIDGE_V_MIN = 0.70
QUANT_COLORS = 64
STRIP_BGS = [("brick", (201, 175, 131)), ("floor", (179, 154, 120)),
             ("bright", (232, 224, 208)), ("dark", (58, 58, 68))]

def hsv(r, g, b):
    mx, mn = max(r, g, b), min(r, g, b)
    d = mx - mn
    h = 0
    if d:
        if mx == r: h = (60 * (g - b) / d) % 360
        elif mx == g: h = 60 * (b - r) / d + 120
        else: h = 60 * (r - g) / d + 240
    return h, (d / mx if mx else 0), mx / 255

def is_cream(c):
    h, s, v = hsv(*c)
    h0, h1 = CREAT_HUE
    return h0 <= h <= h1 and CREAT_S[0] <= s <= CREAT_S[1] and v >= CREAT_V

def dist(a, b):
    return abs(a[0] - b[0]) + abs(a[1] - b[1]) + abs(a[2] - b[2])

def seg_dist(c, a, b):
    """c 到线段 a-b 的最小欧氏距离(反锯齿混合带判据)。"""
    ab = (b[0] - a[0], b[1] - a[1], b[2] - a[2])
    ac = (c[0] - a[0], c[1] - a[1], c[2] - a[2])
    ab2 = ab[0] ** 2 + ab[1] ** 2 + ab[2] ** 2
    t = 0.0
    if ab2:
        t = max(0.0, min(1.0, (ac[0] * ab[0] + ac[1] * ab[1] + ac[2] * ab[2]) / ab2))
    p = (a[0] + ab[0] * t, a[1] + ab[1] * t, a[2] + ab[2] * t)
    return dist(c, p)

def dilate(mask, w, hgt, n):
    for _ in range(n):
        nb = [row[:] for row in mask]
        for y in range(hgt):
            row = mask[y]
            for x in range(w):
                if not row[x]:
                    if (x > 0 and row[x - 1]) or (x < w - 1 and row[x + 1]) \
                       or (y > 0 and mask[y - 1][x]) or (y < hgt - 1 and mask[y + 1][x]):
                        nb[y][x] = True
        mask = nb
    return mask

def barrier_flood(im):
    """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。"""
    im = im.convert("RGB")
    w, hgt = im.size
    px = im.load()
    barrier = dilate([[is_cream(px[x, y]) for x in range(w)] for y in range(hgt)], w, hgt, BARRIER_DILATE)
    alpha = [[255] * w for _ in range(hgt)]
    seen = [[False] * w for _ in range(hgt)]
    q = deque()
    for x in range(w):
        q.append((x, 0)); q.append((x, hgt - 1))
    for y in range(hgt):
        q.append((0, y)); q.append((w - 1, y))
    while q:
        x, y = q.popleft()
        if x < 0 or y < 0 or x >= w or y >= hgt or seen[y][x]:
            continue
        seen[y][x] = True
        if barrier[y][x]:
            continue
        alpha[y][x] = 0
        for dx, dy in ((1, 0), (-1, 0), (0, 1), (0, -1)):
            q.append((x + dx, y + dy))
    return im, w, hgt, alpha

def bg_flood(im):
    """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)。"""
    im = im.convert("RGB")
    w, hgt = im.size
    px = im.load()
    corners = [px[x, y] for x, y in ((2, 2), (w - 3, 2), (2, hgt - 3), (w - 3, hgt - 3))]
    bg = Counter(corners).most_common(1)[0][0]
    alpha = [[255] * w for _ in range(hgt)]
    seen = [[False] * w for _ in range(hgt)]
    q = deque()
    for x in range(w):
        q.append((x, 0, bg)); q.append((x, hgt - 1, bg))
    for y in range(hgt):
        q.append((0, y, bg)); q.append((w - 1, y, bg))
    while q:
        x, y, ref = q.popleft()
        if x < 0 or y < 0 or x >= w or y >= hgt or seen[y][x]:
            continue
        seen[y][x] = True
        c = px[x, y]
        if dist(c, ref) > 14 and dist(c, bg) > BG_TOL:
            continue
        alpha[y][x] = 0
        for dx, dy in ((1, 0), (-1, 0), (0, 1), (0, -1)):
            q.append((x + dx, y + dy, bg if dist(c, bg) <= BG_TOL else c))
    # 影色规则:纯灰/暗紫/暖暗,只吞底部 45% 区域
    q = deque()
    for y in range(hgt):
        for x in range(w):
            if alpha[y][x] == 0 and y >= hgt * 0.55:
                q.append((x, y))
    while q:
        x, y = q.popleft()
        for dx, dy in ((1, 0), (-1, 0), (0, 1), (0, -1)):
            nx, ny = x + dx, y + dy
            if nx < 0 or ny < 0 or nx >= w or ny >= hgt or alpha[ny][nx] == 0:
                continue
            h, s, v = hsv(*px[nx, ny])
            ok = s < 0.10
            if not ok:
                for h0, h1, smax, vmax in ((255, 350, 0.35, 0.45), (15, 45, 0.32, 0.42)):
                    in_hue = h0 <= h <= h1 if h0 < h1 else (h >= h0 or h <= h1)
                    if in_hue and s < smax and v < vmax:
                        ok = True
                        break
            if ok:
                alpha[ny][nx] = 0
                q.append((nx, ny))
    return im, w, hgt, alpha

def eat_outline(im, w, hgt, alpha):
    """吃描边:主色距离门 + 底色↔主色线段混合带桥(限层深)。"""
    px = im.load()
    corners = [px[x, y] for x, y in ((2, 2), (w - 3, 2), (2, hgt - 3), (w - 3, hgt - 3))]
    bg = Counter(corners).most_common(1)[0][0]
    near = [[False] * w for _ in range(hgt)]
    for y in range(hgt):
        for x in range(w):
            if alpha[y][x] == 0:
                for dy in range(-OUTLINE_PROBE, OUTLINE_PROBE + 1):
                    for dx in range(-OUTLINE_PROBE, OUTLINE_PROBE + 1):
                        nx, ny = x + dx, y + dy
                        if 0 <= nx < w and 0 <= ny < hgt:
                            near[ny][nx] = True
    cnt = Counter()
    for y in range(hgt):
        for x in range(w):
            if alpha[y][x] == 255 and near[y][x] and is_cream(px[x, y]):
                c = px[x, y]
                cnt[(c[0] // 8 * 8, c[1] // 8 * 8, c[2] // 8 * 8)] += 1
    if not cnt:
        return
    base = cnt.most_common(1)[0][0]
    layer = [[-1] * w for _ in range(hgt)]
    dq = deque()
    for y in range(hgt):
        for x in range(w):
            if alpha[y][x] == 0:
                layer[y][x] = 0
                dq.append((x, y))
    while dq:
        x, y = dq.popleft()
        for dx, dy in ((1, 0), (-1, 0), (0, 1), (0, -1)):
            nx, ny = x + dx, y + dy
            if 0 <= nx < w and 0 <= ny < hgt and layer[ny][nx] == -1:
                layer[ny][nx] = layer[y][x] + 1
                dq.append((nx, ny))
    q = deque()
    for y in range(hgt):
        for x in range(w):
            if alpha[y][x] == 0:
                q.append((x, y))
    while q:
        x, y = q.popleft()
        for dx, dy in ((1, 0), (-1, 0), (0, 1), (0, -1)):
            nx, ny = x + dx, y + dy
            if nx < 0 or ny < 0 or nx >= w or ny >= hgt or alpha[ny][nx] == 0:
                continue
            c = px[nx, ny]
            h, s, v = hsv(*c)
            h0, h1 = CREAT_HUE
            main = dist(c, base) <= OUTLINE_TOL and h0 <= h <= h1 and s >= EAT_S_MIN and v >= CREAT_V
            bridge = (layer[ny][nx] <= BRIDGE_DEPTH and s <= BRIDGE_S_MAX
                      and v >= BRIDGE_V_MIN and seg_dist(c, base, bg) <= BRIDGE_SEG_TOL)
            if main or bridge:
                alpha[ny][nx] = 0
                q.append((nx, ny))

def remove_bg(im):
    """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。"""
    im1, w, hgt, a1 = barrier_flood(im)
    n1 = sum(row.count(255) for row in a1)
    im2, _, _, a2 = bg_flood(im)
    n2 = sum(row.count(255) for row in a2)
    if n1 < 0.6 * n2:  # 屏障法保留面积崩塌 = 漏灌,回落稳妥路径
        im, alpha = im2, a2
    else:
        im, alpha = im1, a1
    eat_outline(im, w, hgt, alpha)
    out = im.convert("RGBA")
    pa = out.load()
    for y in range(hgt):
        for x in range(w):
            if alpha[y][x] == 0:
                pa[x, y] = (0, 0, 0, 0)
    return out

def crop_content(im, pad=2):
    bbox = im.getchannel("A").getbbox()
    if not bbox:
        return im
    l, t, r, b = bbox
    l, t = max(0, l - pad), max(0, t - pad)
    r, b = min(im.width, r + pad), min(im.height, b + pad)
    return im.crop((l, t, r, b))

def despeckle(spr, min_px=10):
    """删小于 min_px 的不透明孤立连通域(噪点)。"""
    w, hgt = spr.size
    pa = spr.load()
    seen = [[False] * w for _ in range(hgt)]
    for y0 in range(hgt):
        for x0 in range(w):
            if seen[y0][x0] or pa[x0, y0][3] == 0:
                continue
            comp = []
            q = deque([(x0, y0)])
            seen[y0][x0] = True
            while q:
                x, y = q.popleft()
                comp.append((x, y))
                for dx, dy in ((1, 0), (-1, 0), (0, 1), (0, -1)):
                    nx, ny = x + dx, y + dy
                    if 0 <= nx < w and 0 <= ny < hgt and not seen[ny][nx] and pa[nx, ny][3] != 0:
                        seen[ny][nx] = True
                        q.append((nx, ny))
            if len(comp) < min_px:
                for x, y in comp:
                    pa[x, y] = (0, 0, 0, 0)
    return spr

def edge_inpaint(spr, passes=2):
    """边缘色内插:与透明相邻的不透明像素改色为其内部邻居均值(灭白边,不削轮廓)。"""
    w, hgt = spr.size
    for _ in range(passes):
        pa = spr.load()
        fixes = []
        for y in range(hgt):
            for x in range(w):
                c = pa[x, y]
                if c[3] == 0:
                    continue
                inner, boundary = [], False
                for dx, dy in ((1, 0), (-1, 0), (0, 1), (0, -1), (1, 1), (1, -1), (-1, 1), (-1, -1)):
                    nx, ny = x + dx, y + dy
                    if not (0 <= nx < w and 0 <= ny < hgt):
                        boundary = True
                        continue
                    nc = pa[nx, ny]
                    if nc[3] == 0:
                        boundary = True
                    elif all(pa[nx + ddx, ny + ddy][3] != 0
                             for ddx, ddy in ((1, 0), (-1, 0), (0, 1), (0, -1))
                             if 0 <= nx + ddx < w and 0 <= ny + ddy < hgt):
                        inner.append(nc)
                if boundary and inner:
                    fixes.append((x, y, tuple(sum(ch[i] for ch in inner) // len(inner) for i in range(3))))
        for x, y, c in fixes:
            r, g, b, a = pa[x, y]
            pa[x, y] = (c[0], c[1], c[2], a)
    return spr

def pixelize(im, target):
    """BOX 预滤到 4x(α腐蚀2px灭混合带) → 量化 → NEAREST → 降噪点 → 边缘内插。"""
    src = crop_content(im)
    scale = target * 4 / max(src.size)
    pre = src.resize((max(1, round(src.width * scale)), max(1, round(src.height * scale))), Image.BOX)
    rgb = pre.convert("RGB")
    flat = rgb.quantize(QUANT_COLORS, method=Image.MEDIANCUT).convert("RGB")
    out = flat.resize((max(1, round(pre.width / 4)), max(1, round(pre.height / 4))), Image.NEAREST)
    a = pre.getchannel("A").filter(ImageFilter.MinFilter(3)).resize(out.size, Image.NEAREST).point(lambda v: 255 if v > 128 else 0)
    out.putalpha(a)
    despeckle(out)
    edge_inpaint(out)
    return out

def strip(spr, path):
    cell = max(spr.size) + 8
    sheet = Image.new("RGBA", (cell * 4, cell), (0, 0, 0, 255))
    for i, (_, bg) in enumerate(STRIP_BGS):
        panel = Image.new("RGBA", (cell, cell), bg + (255,))
        panel.alpha_composite(spr, ((cell - spr.width) // 2, (cell - spr.height) // 2))
        sheet.paste(panel, (i * cell, 0))
    sheet = sheet.resize((sheet.width * 2, sheet.height * 2), Image.NEAREST)
    sheet.save(path)

def remove_closed_gray_bags(im):
    """封闭灰袋清除(09-28 批手工步骤收编):本体轮廓内困住的底色/灰袋,图缘洪泛够不着。

    三闸全过才除(防误伤盔甲与影): ①近底色(四角底色距离门) ②中性灰(低饱和)
    ③连通组件不触图缘(封闭——贴缘的地面影属开放区,洪泛已处理)。
    """
    im = im.convert("RGBA")
    w, hgt = im.size
    px = im.load()
    corners = [px[x, y][:3] for x, y in ((1, 1), (w - 2, 1), (1, hgt - 2), (w - 2, hgt - 2))
               if px[x, y][3] > 0]
    if not corners:
        return im
    bg = Counter(tuple(c // 16 * 16 for c in cr) for cr in corners).most_common(1)[0][0]

    def is_bag(c):
        r, g, b, a = c
        if a == 0:
            return False
        if dist((r, g, b), bg) > BG_TOL:            # 闸① 近底色
            return False
        h, s, v = hsv(r, g, b)                       # 闸② 中性灰
        return s < 0.10
    # 闸③ 组件级:候选像素连通域任一成员触图缘 = 开放区,整域保留
    comp_id = [[-1] * w for _ in range(hgt)]
    touches_edge = []
    cid = 0
    for y0 in range(hgt):
        for x0 in range(w):
            if comp_id[y0][x0] != -1 or not is_bag(px[x0, y0]):
                continue
            q = deque([(x0, y0)])
            comp_id[y0][x0] = cid
            edge_hit = False
            members = []
            while q:
                x, y = q.popleft()
                members.append((x, y))
                if x in (0, w - 1) or y in (0, hgt - 1):
                    edge_hit = True
                for dx, dy in ((1, 0), (-1, 0), (0, 1), (0, -1)):
                    nx, ny = x + dx, y + dy
                    if 0 <= nx < w and 0 <= ny < hgt and comp_id[ny][nx] == -1 and is_bag(px[nx, ny]):
                        comp_id[ny][nx] = cid
                        q.append((nx, ny))
            touches_edge.append(edge_hit)
            cid += 1
    n = 0
    for y in range(hgt):
        for x in range(w):
            i = comp_id[y][x]
            if i >= 0 and not touches_edge[i]:
                r, g, b, a = px[x, y]
                px[x, y] = (r, g, b, 0)
                n += 1
    return im


def fixer_grid_snap(src_path):
    """rust pixelfixer 收网格:网格检测+重建回原生分辨率(全量档,亚秒级)。失败回落原图。"""
    tmp_out = tempfile.mktemp(suffix=".png")
    try:
        r = subprocess.run([FIXER_EXE, "process", str(src_path), tmp_out, "full"],
                           capture_output=True, timeout=120)
        if r.returncode == 0 and os.path.isfile(tmp_out):
            return Image.open(tmp_out).convert("RGB")
        print("  [fixer] 失败(code=%s),回落原图: %s" % (r.returncode, r.stderr.decode(errors="replace")[-120:]))
    except Exception as e:                               # 引擎缺位/超时——回落,管线不断
        print("  [fixer] 异常回落原图: %s" % e)
    finally:
        if os.path.isfile(tmp_out):
            os.remove(tmp_out)
    return Image.open(src_path).convert("RGB")


def _bbox_alpha(im):
    bbox = im.getchannel("A").getbbox()
    return bbox if bbox else (0, 0, im.width, im.height)


def dom_block_resize(im, nw, nh):
    """块内众数投票降采样(48px 档专用,代拍板待追认):每目标格取源块内众数不透明色,
    透明占比过半则置透明。零插值(输出色 ⊆ 源色板)——大比例缩比(≈0.25×)下比单点
    NEAREST 干净(体量连贯/描边连续,09-29 goblin A/B 实证);NEAREST 仅用于无损域。"""
    w, hgt = im.size
    px = im.load()
    out = Image.new("RGBA", (nw, nh), (0, 0, 0, 0))
    po = out.load()
    for oy in range(nh):
        y0, y1 = int(oy * hgt / nh), max(int(oy * hgt / nh) + 1, int((oy + 1) * hgt / nh))
        for ox in range(nw):
            x0, x1 = int(ox * w / nw), max(int(ox * w / nw) + 1, int((ox + 1) * w / nw))
            cnt = Counter()
            tot = 0
            opaque = 0
            for y in range(y0, y1):
                for x in range(x0, x1):
                    c = px[x, y]
                    cnt[c] += 1
                    tot += 1
                    if c[3] > 0:
                        opaque += 1
            if opaque * 2 < tot:
                po[ox, oy] = (0, 0, 0, 0)
            else:
                po[ox, oy] = max((c for c in cnt if c[3] > 0), key=lambda c: cnt[c])
    return out


def build_standee48(batch_root, out_dir, extra_hero_states=("attack", "hit")):
    """九张 48px 站桩槽位档:源=八敌 pixel-1+主角 normal_1x(extra_hero_states 追加 attack/hit,T3 起默认)。

    口径(代拍板待追认): 敌八种统一比例(最大体量归 48 高,相对体量语义=字形回退 ▂▆█ 同构);
    主角自适比例(48/56);NEAREST 零插值;内容 bbox 裁边后底中锚贴 (w,48) 透明画布。
    """
    os.makedirs(out_dir, exist_ok=True)
    enemy_srcs = {}
    for key in sorted(SIZES.keys()):
        p = os.path.join(batch_root, key, "pixel-1.png")
        if os.path.isfile(p):
            enemy_srcs[key] = Image.open(p).convert("RGBA")
    hero_p = os.path.join(batch_root, "hero-ref", "edit", "normal_1x.png")
    jobs = [(k, im, "character_enemy_%s.png" % k) for k, im in enemy_srcs.items()]
    if os.path.isfile(hero_p):
        jobs.append(("hero_normal", Image.open(hero_p).convert("RGBA"), "character_hero_portrait.png"))
        for st in extra_hero_states:
            sp = os.path.join(batch_root, "hero-ref", "edit", "%s_1x.png" % st)
            if os.path.isfile(sp):
                jobs.append(("hero_%s" % st, Image.open(sp).convert("RGBA"),
                             "character_hero_%s.png" % st))
    max_h = max(im.height for _, im, _ in jobs)
    f_enemy = STANDEE_SLOT_H / float(max_h)              # 敌统一比例(体量语义)
    made = []
    for key, im, out_name in jobs:
        l, t, r, b = _bbox_alpha(im)
        im = im.crop((l, t, r, b))
        f = f_enemy if key != "hero_normal" and not key.startswith("hero_") else STANDEE_SLOT_H / float(im.height)
        nw, nh = max(1, int(round(im.width * f))), max(1, int(round(im.height * f)))
        if nw > STANDEE_SLOT_W_MAX:                      # 超宽兜底(现无触)——按宽收再贴底
            k2 = STANDEE_SLOT_W_MAX / float(nw)
            nw, nh = STANDEE_SLOT_W_MAX, max(1, int(round(nh * k2)))
        body = dom_block_resize(im, nw, min(nh, STANDEE_SLOT_H))
        canvas = Image.new("RGBA", (nw, STANDEE_SLOT_H), (0, 0, 0, 0))
        canvas.alpha_composite(body, (0, STANDEE_SLOT_H - body.height))   # 底中锚:脚贴画布底缘
        outp = os.path.join(out_dir, out_name)
        canvas.save(outp)
        print("standee48 %-14s %sx%s -> %s" % (key, nw, STANDEE_SLOT_H, outp))
        made.append(outp)
    return made


def main(argv):
    root = argv[0] if argv and not argv[0].startswith("--") else "artwork/remote-gen-2026-09-26"
    args = argv[1:] if argv and not argv[0].startswith("--") else argv
    if "--standee48" in args:
        out = args[args.index("--standee-out") + 1] if "--standee-out" in args \
            else os.path.join("game", "assets", "art", "character")
        build_standee48(root, out)
        return
    use_fixer = "--fixer" in args
    thumbs = []
    for asset, target in sorted(SIZES.items()):
        d = os.path.join(root, asset)
        if not os.path.isdir(d):
            continue
        for f in sorted(os.listdir(d)):
            if not f.startswith("v") or "pixel" in f:
                continue
            n = f[1].split(".")[0] if len(f) > 1 and f[1].isdigit() else f
            if use_fixer:
                src = fixer_grid_snap(os.path.join(d, f))
            else:
                src = Image.open(os.path.join(d, f))
            rgba = remove_bg(src)
            if use_fixer:
                rgba = remove_closed_gray_bags(rgba)
            spr = pixelize(rgba, target)
            outp = os.path.join(d, "pixel-%s.png" % n)
            spr.save(outp)
            strip(spr, os.path.join(d, "pixel-%s-strip.png" % n))
            thumbs.append((asset, target, spr))
            print("%-14s %s %sx%s -> %s" % (asset, f, spr.width, spr.height, outp))
    if thumbs:
        pad = 8
        rows, row, rw = [], [], 0
        for asset, target, t in thumbs:
            if rw + t.width + pad > 1400 and row:
                rows.append(row); row, rw = [], 0
            row.append((asset, t)); rw += t.width + pad
        if row: rows.append(row)
        W = max(sum(t.width + pad for _, t in r) for r in rows)
        Htot = sum(max(t.height for _, t in r) + pad + 4 for r in rows)
        sheet = Image.new("RGBA", (W, Htot), (179, 154, 120, 255))
        y = 0
        for r in rows:
            x = 0
            hh = max(t.height for _, t in r)
            for asset, t in r:
                sheet.alpha_composite(t, (x, y + (hh - t.height) // 2))
                x += t.width + pad
            y += hh + pad + 4
        sheet = sheet.resize((sheet.width * 2, sheet.height * 2), Image.NEAREST)
        sheet.save(os.path.join(root, "0-像素化预览.png"))
        print("总览 -> 0-像素化预览.png")

if __name__ == "__main__":
    _argv = sys.argv[1:]
    if "--fixer-exe" in _argv:
        _i = _argv.index("--fixer-exe")
        FIXER_EXE = _argv[_i + 1]
        _argv = _argv[:_i] + _argv[_i + 2:]
    main(_argv)