inchis.py

inchis.py

"""Script standalone "Inchis" - face textul gri / slab contrast mai NEGRU.

Pipeline minimalist (fara CLAHE/unsharp -> fara umbre/halouri):
  1. Median 3x3 - praf fin
  2. LEVELS Photoshop: BP=80, WP=240, gamma=0.65
     -> bg >240 devine alb pur, text gri (100) -> dark (~12)

PASTREAZA anti-aliasing (italice, serife) - NU binarizeaza.
"""
import cv2
import numpy as np
from pathlib import Path

INPUT_DIR = Path(r"g:\Colectia EMINESCIANA")
OUTPUT_DIR = Path(r"g:\Colectia EMINESCIANA\Output")
OUTPUT_DIR.mkdir(parents=True, exist_ok=True)

BP = 80          # black point - inputs below devin negru
WP = 240         # white point - inputs above devin alb
GAMMA = 0.65     # < 1 darkens midtones
JPEG_QUALITY = 80


def proc_inchis(img):
    """Returneaza grayscale cu textul mult mai negru, fundal alb pur, fara umbre."""
    if img.ndim == 3:
        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    else:
        gray = img

    # 1. Median 3x3 - praf fin
    g = cv2.medianBlur(gray, 3)

    # 2. Photoshop-style Levels
    f = g.astype(np.float32)
    norm = np.clip((f - BP) / max(1, WP - BP), 0, 1)
    leveled = np.power(norm, 1.0 / GAMMA) * 255
    return np.clip(leveled, 0, 255).astype(np.uint8)


def main():
    extensions = {".jpg", ".jpeg", ".png", ".bmp", ".tif", ".tiff", ".webp"}
    files = sorted(
        f for f in INPUT_DIR.iterdir()
        if f.is_file() and f.suffix.lower() in extensions
    )
    if not files:
        print(f"Nu am gasit imagini in {INPUT_DIR}")
        return
    print(f"Procesez {len(files)} imagini din {INPUT_DIR}")

    for i, p in enumerate(files, 1):
        print(f"  [{i}/{len(files)}] {p.name}")
        # Citire (suport pentru caractere non-ASCII pe Windows)
        data = np.fromfile(str(p), dtype=np.uint8)
        img = cv2.imdecode(data, cv2.IMREAD_UNCHANGED)
        if img is None:
            print(f"    SKIP - nu pot citi")
            continue
        out = proc_inchis(img)
        out_path = OUTPUT_DIR / (p.stem + ".jpg")
        # Salvare (suport pentru caractere non-ASCII pe Windows)
        ok, buf = cv2.imencode(".jpg", out, [cv2.IMWRITE_JPEG_QUALITY, JPEG_QUALITY])
        if ok:
            buf.tofile(str(out_path))

    print(f"Gata! Iesire: {OUTPUT_DIR}")


if __name__ == "__main__":
    main()