102 lines
3.6 KiB
Python
102 lines
3.6 KiB
Python
#!/usr/bin/env python3
|
||
# -*- coding: utf-8 -*-
|
||
"""
|
||
Полное распознавание PDF без Docling (из-за нехватки RAM на CPU).
|
||
Стек: PyMuPDF (рендер + текстовый слой) + RapidOCR (текст+координаты).
|
||
"""
|
||
|
||
import os
|
||
import sys
|
||
import json
|
||
import fitz
|
||
from pathlib import Path
|
||
from rapidocr import RapidOCR
|
||
|
||
# ------------------------------------------------------------------
|
||
# 1. Конфигурация
|
||
# ------------------------------------------------------------------
|
||
PDF_NAME = "Кронштадтский 16-18 НК1_ОСК (v3).pdf"
|
||
PDF_PATH = Path(r"D:\TEST docs") / PDF_NAME
|
||
OUT_DIR = Path(r"D:\TEST docs\output")
|
||
OUT_DIR.mkdir(exist_ok=True)
|
||
|
||
DPI = 300 # разрешение рендера
|
||
BATCH_SIZE = 5 # сохраняем прогресс каждые N страниц
|
||
|
||
# ------------------------------------------------------------------
|
||
# 2. Рендер + OCR одной страницы
|
||
# ------------------------------------------------------------------
|
||
engine = RapidOCR()
|
||
|
||
def process_page(doc: fitz.Document, page_num: int, dpi: int = 300):
|
||
"""Обработка одной страницы: рендер, OCR, текстовый слой."""
|
||
page = doc.load_page(page_num)
|
||
|
||
# --- 2.1 Текстовый слой PDF (если есть) ---
|
||
raw_text = page.get_text("text").strip()
|
||
|
||
# --- 2.2 Рендер в PNG ---
|
||
mat = fitz.Matrix(dpi / 72, dpi / 72)
|
||
pix = page.get_pixmap(matrix=mat)
|
||
img_path = OUT_DIR / f"page_{page_num+1:03d}.png"
|
||
pix.save(img_path)
|
||
|
||
# --- 2.3 OCR ---
|
||
res = engine(img_path)
|
||
ocr_lines = []
|
||
if res and res[0] is not None:
|
||
for item in res[0]:
|
||
box, txt, score = item
|
||
ocr_lines.append({
|
||
"text": txt,
|
||
"confidence": float(score),
|
||
"bbox": box
|
||
})
|
||
|
||
return {
|
||
"page_number": page_num + 1,
|
||
"image": str(img_path.name),
|
||
"pdf_text_layer": raw_text,
|
||
"ocr_lines": ocr_lines,
|
||
"ocr_line_count": len(ocr_lines)
|
||
}
|
||
|
||
# ------------------------------------------------------------------
|
||
# 3. main
|
||
# ------------------------------------------------------------------
|
||
def main():
|
||
if not PDF_PATH.exists():
|
||
print(f"[ERR] Файл не найден: {PDF_PATH}")
|
||
sys.exit(1)
|
||
|
||
doc = fitz.open(PDF_PATH)
|
||
total = len(doc)
|
||
print(f"=== PDF: {PDF_PATH.name} | Страниц: {total} ===\n")
|
||
|
||
all_pages = []
|
||
for i in range(total):
|
||
print(f"[{i+1}/{total}] Рендер + OCR ...", end=" ")
|
||
page_data = process_page(doc, i, DPI)
|
||
all_pages.append(page_data)
|
||
print(f"OCR строк: {page_data['ocr_line_count']}")
|
||
|
||
# Промежуточное сохранение
|
||
if (i + 1) % BATCH_SIZE == 0 or i == total - 1:
|
||
part_path = OUT_DIR / "full_ocr_results.json"
|
||
with open(part_path, "w", encoding="utf-8") as f:
|
||
json.dump({"pages": all_pages}, f, ensure_ascii=False, indent=2)
|
||
print(f" -> промежуточное сохранение ({i+1} страниц)")
|
||
|
||
doc.close()
|
||
|
||
# Итоговый файл
|
||
final_path = OUT_DIR / "full_ocr_results.json"
|
||
with open(final_path, "w", encoding="utf-8") as f:
|
||
json.dump({"pages": all_pages}, f, ensure_ascii=False, indent=2)
|
||
|
||
print(f"\n=== Готово. Обработано {len(all_pages)} страниц ===")
|
||
print(f"Результат: {final_path}")
|
||
|
||
if __name__ == "__main__":
|
||
main()
|