hugohe3--ppt-master
wehub-resource-sync
333 行
12 KiB
Python
333 行
12 KiB
Python
#!/usr/bin/env python3
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"""
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PPT Master - Illustration Sheet Slicer
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Slice one AI-generated "illustration sheet" (a single image whose prompt laid
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out several illustration elements in a grid) into N individual element files in
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the project's `images/` folder. This is the cheap-and-consistent path for spot
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illustrations: generate one multi-element sheet with `image_gen.py` (one call,
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one coherent style/palette), then cut the cells out here so each element is a
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normal image the Executor places like any other.
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Two optional cleanups address the realities of cropping a raster sheet:
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--trim tight-crop each cell to its content bounding box, so imprecise AI
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placement inside a cell does not leave lopsided margins.
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--alpha knock the (flat) sheet background out to transparency, so an element
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can sit on a differently-colored slide without a visible box.
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Both need a background color; it is auto-sampled from each cell's border unless
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you pass --bg.
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Usage:
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python3 scripts/slice_images.py <sheet_image> --grid RxC [options]
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Examples:
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python3 scripts/slice_images.py projects/demo/images/illus_sheet.png --grid 2x3
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python3 scripts/slice_images.py projects/demo/images/illus_sheet.png --grid 2x3 \
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--names team,product,customer,growth,risk,vision --trim --alpha
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python3 scripts/slice_images.py projects/demo/images/illus_sheet.png --grid 1x4 \
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--prefix spot_ --bg "#F8F9FA" --alpha
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Dependencies:
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Pillow
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"""
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import argparse
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import re
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import sys
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from pathlib import Path
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from statistics import median
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from typing import Optional
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from console_encoding import configure_utf8_stdio
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configure_utf8_stdio()
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from PIL import Image, ImageChops, ImageFilter
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_GRID_RE = re.compile(r"^\s*(\d+)\s*[xX×]\s*(\d+)\s*$")
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_BG_SAMPLE_BORDER = 2
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_DEFAULT_FEATHER = 4
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def _log(msg: str) -> None:
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"""Print progress to stderr (stdout carries the created file paths)."""
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print(msg, file=sys.stderr)
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def parse_grid(spec: str) -> tuple[int, int]:
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"""Parse a 'RxC' grid spec into (rows, cols)."""
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m = _GRID_RE.match(spec)
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if not m:
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raise ValueError(f"--grid must look like '2x3' (rows x cols), got {spec!r}")
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rows, cols = int(m.group(1)), int(m.group(2))
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if rows < 1 or cols < 1:
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raise ValueError(f"--grid rows and cols must be >= 1, got {rows}x{cols}")
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return rows, cols
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def parse_hex(value: str) -> tuple[int, int, int]:
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"""Parse '#RRGGBB' / 'RRGGBB' into an (r, g, b) tuple."""
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h = value.strip().lstrip("#")
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if len(h) != 6 or any(c not in "0123456789abcdefABCDEF" for c in h):
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raise ValueError(f"--bg must be a 6-digit hex color, got {value!r}")
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return int(h[0:2], 16), int(h[2:4], 16), int(h[4:6], 16)
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def _safe_basename(name: str) -> str:
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"""Reject path components in an output name — this tool writes bare files only."""
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base = name.strip()
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if (not base or base in {".", ".."} or ".." in base
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or "/" in base or "\\" in base or Path(base).is_absolute()):
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raise ValueError(f"unsafe output name {name!r}: must be a bare filename, no path parts")
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return base
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def _sample_bg(cell: Image.Image) -> tuple[int, int, int]:
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"""Estimate the flat background color from a cell's border ring."""
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rgb = cell.convert("RGB")
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w, h = rgb.size
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border = max(1, min(_BG_SAMPLE_BORDER, w, h))
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px = rgb.load()
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pixels = []
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for y in range(border):
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for x in range(w):
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pixels.append(px[x, y])
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bottom_start = max(border, h - border)
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for y in range(bottom_start, h):
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for x in range(w):
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pixels.append(px[x, y])
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right_start = max(border, w - border)
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for y in range(border, bottom_start):
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for x in range(border):
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pixels.append(px[x, y])
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for x in range(right_start, w):
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pixels.append(px[x, y])
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return tuple(round(median(channel)) for channel in zip(*pixels)) # type: ignore[return-value]
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def _max_channel_difference(cell: Image.Image, bg: tuple[int, int, int]) -> Image.Image:
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"""Return the maximum absolute RGB channel difference from the background."""
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diff = ImageChops.difference(cell.convert("RGB"), Image.new("RGB", cell.size, bg))
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red, green, blue = diff.split()
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return ImageChops.lighter(ImageChops.lighter(red, green), blue)
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def _soft_mask_from_diff(diff: Image.Image, tolerance: int) -> Image.Image:
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"""Build a feathered alpha mask around the tolerance threshold."""
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low = max(0, tolerance - _DEFAULT_FEATHER)
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high = min(255, tolerance + _DEFAULT_FEATHER)
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if high <= low:
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return diff.point(lambda p: 255 if p > tolerance else 0)
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span = high - low
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lut = []
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for value in range(256):
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if value <= low:
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lut.append(0)
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elif value >= high:
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lut.append(255)
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else:
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lut.append(round((value - low) * 255 / span))
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return diff.point(lut)
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def _content_masks(
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cell: Image.Image,
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bg: tuple[int, int, int],
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tolerance: int,
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) -> tuple[Image.Image, Image.Image]:
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"""Build binary trim and soft alpha masks from the same color distance."""
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diff = _max_channel_difference(cell, bg)
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trim_mask = diff.point(lambda p: 255 if p > tolerance else 0)
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alpha_mask = _soft_mask_from_diff(diff, tolerance)
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alpha_mask = alpha_mask.filter(ImageFilter.MinFilter(3))
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return trim_mask, alpha_mask
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def slice_sheet(
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sheet_path: Path,
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rows: int,
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cols: int,
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output_dir: Path,
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*,
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names: Optional[list[str]] = None,
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prefix: Optional[str] = None,
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inset: float = 0.0,
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trim: bool = False,
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alpha: bool = False,
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bg: Optional[tuple[int, int, int]] = None,
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tolerance: int = 18,
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) -> list[Path]:
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"""Slice `sheet_path` into rows*cols element PNGs under `output_dir`.
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Returns the list of written file paths (row-major order). When `names` is
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given it must hold exactly rows*cols entries — a mismatch is an error so an
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automated run never silently drops cells. Each name must be a bare filename.
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"""
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total_cells = rows * cols
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if names is not None and len(names) != total_cells:
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raise ValueError(
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f"--names has {len(names)} entries but the {rows}x{cols} grid has "
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f"{total_cells} cells; provide exactly one name per cell"
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)
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safe_names = [_safe_basename(n) for n in names] if names else None
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if alpha and safe_names:
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for name in safe_names:
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suffix = Path(name).suffix.lower()
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if suffix and suffix != ".png":
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raise ValueError(f"--alpha requires .png output names, got {name!r}")
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sheet = Image.open(sheet_path).convert("RGBA")
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sw, sh = sheet.size
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output_dir.mkdir(parents=True, exist_ok=True)
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stem = sheet_path.stem
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name_prefix = _safe_basename(prefix) if prefix else f"{stem}_"
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written: list[Path] = []
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idx = 0
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for r in range(rows):
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for c in range(cols):
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# Integer cell box via per-index rounding to avoid drift.
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x0, x1 = round(c * sw / cols), round((c + 1) * sw / cols)
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y0, y1 = round(r * sh / rows), round((r + 1) * sh / rows)
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if inset > 0:
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dx = round((x1 - x0) * inset)
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dy = round((y1 - y0) * inset)
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x0, x1, y0, y1 = x0 + dx, x1 - dx, y0 + dy, y1 - dy
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cell = sheet.crop((x0, y0, x1, y1))
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trim_mask: Optional[Image.Image] = None
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alpha_mask: Optional[Image.Image] = None
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bbox = None
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if trim or alpha:
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cell_bg = bg if bg is not None else _sample_bg(cell)
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trim_mask, alpha_mask = _content_masks(cell, cell_bg, tolerance)
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bbox = trim_mask.getbbox()
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if bbox is None:
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raise ValueError(f"cell ({r},{c}) is all background; no element was sliced")
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if trim and trim_mask is not None and alpha_mask is not None and bbox is not None:
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cell = cell.crop(bbox)
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alpha_mask = alpha_mask.crop(bbox)
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if alpha and alpha_mask is not None:
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cell.putalpha(alpha_mask)
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if safe_names:
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out_name = safe_names[idx]
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if not Path(out_name).suffix:
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out_name += ".png"
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else:
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out_name = f"{name_prefix}{idx + 1:02d}.png"
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out_path = output_dir / out_name
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cell.save(out_path)
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written.append(out_path)
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_log(f"[OK] cell ({r},{c}) -> {out_path.name} ({cell.width}x{cell.height})")
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idx += 1
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if len(written) != total_cells:
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raise ValueError(f"sliced {len(written)} elements but expected {total_cells}")
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return written
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def build_parser() -> argparse.ArgumentParser:
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"""Build the command-line parser."""
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parser = argparse.ArgumentParser(
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description="Slice an AI illustration sheet into individual element images.",
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formatter_class=argparse.RawDescriptionHelpFormatter,
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epilog="""Examples:
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python3 scripts/slice_images.py projects/demo/images/illus_sheet.png --grid 2x3
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python3 scripts/slice_images.py projects/demo/images/illus_sheet.png --grid 2x3 \\
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--names team,product,customer,growth,risk,vision --trim --alpha
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""",
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)
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parser.add_argument("sheet", help="Path to the generated illustration sheet image")
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parser.add_argument("--grid", required=True, help="Grid as 'RxC' (rows x cols), e.g. 2x3")
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parser.add_argument(
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"-o", "--output", default=None,
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help="Output directory (default: the sheet's own directory)",
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)
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parser.add_argument(
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"--names", default=None,
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help="Comma-separated element names, row-major (extension optional). "
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"Must provide exactly rows*cols bare filenames.",
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)
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parser.add_argument(
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"--prefix", default=None,
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help="Filename prefix when --names is absent (default: '<sheet-stem>_')",
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)
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parser.add_argument(
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"--inset", type=float, default=0.0,
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help="Trim each cell inward by this fraction on every side (0-0.49) to drop gutters",
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)
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parser.add_argument(
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"--trim", action="store_true",
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help="Tight-crop each cell to its content bounding box",
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)
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parser.add_argument(
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"--alpha", action="store_true",
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help="Make the (flat) background transparent in each element",
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)
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parser.add_argument(
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"--bg", default=None,
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help="Background hex color for --trim/--alpha (default: auto-sample cell border)",
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)
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parser.add_argument(
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"--tolerance", type=int, default=18,
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help="Maximum per-channel color distance treated as background for --trim/--alpha "
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"(default: 18)",
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)
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return parser
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def main(argv: Optional[list[str]] = None) -> int:
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"""Run the CLI entry point."""
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parser = build_parser()
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args = parser.parse_args(argv)
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sheet_path = Path(args.sheet)
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if not sheet_path.exists():
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print(f"[ERROR] Sheet not found: {sheet_path}", file=sys.stderr)
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return 1
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try:
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rows, cols = parse_grid(args.grid)
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bg = parse_hex(args.bg) if args.bg else None
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except ValueError as exc:
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print(f"[ERROR] {exc}", file=sys.stderr)
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return 1
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if not 0.0 <= args.inset < 0.5:
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print("[ERROR] --inset must be in [0, 0.5)", file=sys.stderr)
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return 1
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if not 0 <= args.tolerance <= 255:
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print("[ERROR] --tolerance must be in [0, 255]", file=sys.stderr)
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return 1
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names = [n.strip() for n in args.names.split(",") if n.strip()] if args.names else None
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output_dir = Path(args.output) if args.output else sheet_path.parent
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try:
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written = slice_sheet(
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sheet_path, rows, cols, output_dir,
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names=names, prefix=args.prefix, inset=args.inset,
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trim=args.trim, alpha=args.alpha, bg=bg, tolerance=args.tolerance,
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)
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except (OSError, ValueError) as exc:
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print(f"[ERROR] Slicing failed: {exc}", file=sys.stderr)
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return 1
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_log(f"\n[DONE] Wrote {len(written)} element(s) to {output_dir}")
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for p in written:
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print(p)
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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