Datasets:
Download src/render/shaper.py from sinhal/HindiText-Pilot: direct link, hf CLI and curl.
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https://huggingface.co/datasets/sinhal/HindiText-Pilot/resolve/main/src/render/shaper.py
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hf download hf://datasets/sinhal/HindiText-Pilot/src/render/shaper.py
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curl -L -o shaper.py https://huggingface.co/datasets/sinhal/HindiText-Pilot/resolve/main/src/render/shaper.py
4.66 kB
| """Correct Devanagari text rendering: HarfBuzz shaping + FreeType rasterization. | |
| Pillow's bundled build has no Raqm, so ImageDraw.text() renders Devanagari | |
| unshaped -- conjuncts break apart and pre-base matras (ि) land on the wrong | |
| side. Everything here goes through HarfBuzz so the glyph stream is what a | |
| real text engine would produce. | |
| """ | |
| from __future__ import annotations | |
| import functools | |
| from dataclasses import dataclass | |
| import freetype | |
| import numpy as np | |
| import uharfbuzz as hb | |
| from PIL import Image | |
| # FreeType 26.6 fixed point -> pixels | |
| F26_6 = 64.0 | |
| class ShapedGlyph: | |
| gid: int | |
| x_off: float | |
| y_off: float | |
| x_adv: float | |
| cluster: int | |
| class Face: | |
| """A font face wired up for both HarfBuzz (shaping) and FreeType (raster).""" | |
| def __init__(self, path: str, px: int, face_index: int = 0): | |
| self.path = path | |
| self.px = px | |
| with open(path, "rb") as fh: | |
| data = fh.read() | |
| self.hb_face = hb.Face(data, face_index) | |
| self.hb_font = hb.Font(self.hb_face) | |
| # HarfBuzz works in font units scaled to px; match FreeType's 26.6 grid. | |
| self.hb_font.scale = (px * 64, px * 64) | |
| hb.ot_font_set_funcs(self.hb_font) | |
| self.ft = freetype.Face(path, index=face_index) | |
| self.ft.set_pixel_sizes(0, px) | |
| def shape(self, text: str, script: str = "Deva", language: str = "hi", | |
| features: dict | None = None) -> list[ShapedGlyph]: | |
| buf = hb.Buffer() | |
| buf.add_str(text) | |
| buf.direction = "ltr" | |
| buf.script = script | |
| buf.language = language | |
| # guess_segment_properties would also work, but being explicit means a | |
| # missing script tag can't silently disable Devanagari shaping rules. | |
| hb.shape(self.hb_font, buf, features) | |
| return [ | |
| ShapedGlyph(i.codepoint, p.x_offset / F26_6, p.y_offset / F26_6, | |
| p.x_advance / F26_6, i.cluster) | |
| for i, p in zip(buf.glyph_infos, buf.glyph_positions) | |
| ] | |
| def covers(self, text: str) -> bool: | |
| """True if every non-space codepoint has a real glyph in this face.""" | |
| for ch in text: | |
| if ch.isspace(): | |
| continue | |
| if self.ft.get_char_index(ch) == 0: | |
| return False | |
| return True | |
| def render_line(face: Face, text: str, pad: int = 8) -> tuple[Image.Image, dict]: | |
| """Render one line to a tight grayscale coverage mask (255 = ink). | |
| Returns the mask plus metrics describing where the baseline ended up, so | |
| callers can compose without re-deriving it. | |
| """ | |
| glyphs = face.shape(text) | |
| if not glyphs: | |
| return Image.new("L", (1, 1), 0), {"baseline": 0, "width": 0} | |
| # Pass 1: measure the real ink box. Devanagari routinely overshoots the | |
| # nominal ascender (ै, ॉ) and descender (ु, ृ), so trusting font metrics | |
| # alone clips diacritics -- which is precisely what we cannot afford. | |
| pen_x = 0.0 | |
| x0 = y0 = 1e9 | |
| x1 = y1 = -1e9 | |
| placed = [] | |
| for g in glyphs: | |
| face.ft.load_glyph(g.gid, freetype.FT_LOAD_RENDER | freetype.FT_LOAD_TARGET_NORMAL) | |
| bmp = face.ft.glyph.bitmap | |
| left = face.ft.glyph.bitmap_left | |
| top = face.ft.glyph.bitmap_top | |
| gx = pen_x + g.x_off + left | |
| gy = -(g.y_off) - top # y grows downward in image space | |
| if bmp.width and bmp.rows: | |
| buf = np.array(bmp.buffer, dtype=np.uint8) | |
| # FreeType rows are padded to `pitch`; slice the real width back out. | |
| arr = buf.reshape(bmp.rows, bmp.pitch)[:, : bmp.width].copy() | |
| placed.append((arr, gx, gy)) | |
| x0 = min(x0, gx); y0 = min(y0, gy) | |
| x1 = max(x1, gx + bmp.width); y1 = max(y1, gy + bmp.rows) | |
| pen_x += g.x_adv | |
| if not placed: | |
| return Image.new("L", (1, 1), 0), {"baseline": 0, "width": 0} | |
| w = int(np.ceil(x1 - x0)) + 2 * pad | |
| h = int(np.ceil(y1 - y0)) + 2 * pad | |
| canvas = np.zeros((h, w), dtype=np.uint16) | |
| for arr, gx, gy in placed: | |
| px = int(round(gx - x0)) + pad | |
| py = int(round(gy - y0)) + pad | |
| sub = canvas[py : py + arr.shape[0], px : px + arr.shape[1]] | |
| if sub.shape != arr.shape: # defensive: rounding at the edge | |
| continue | |
| np.maximum(sub, arr, out=sub) | |
| mask = Image.fromarray(np.clip(canvas, 0, 255).astype(np.uint8), "L") | |
| return mask, {"baseline": int(round(-y0)) + pad, "width": w, "height": h, | |
| "advance": pen_x, "n_glyphs": len(glyphs)} | |
| def load_face(path: str, px: int, index: int = 0) -> Face: | |
| return Face(path, px, index) | |