Files
notes-cleaner/pdf_cleaner.py
T
Esa Kataja bad7612027 feat: Add cleanup of temporary files in finalize command
- Remove all temporary PNG files after PDF creation
- Remove temporary directory
- Update command feedback messages
2024-12-03 20:55:56 +02:00

146 lines
5.1 KiB
Python
Executable File

import os
#!/usr/bin/env -S uv run
import click
import cv2
import numpy as np
from PIL import Image
from pdf2image import convert_from_path
import img2pdf
def ensure_temp_dir():
"""Ensure temporary directory exists and return its path."""
temp_dir = "temp_processed_images"
os.makedirs(temp_dir, exist_ok=True)
return temp_dir
def get_temp_files():
"""Get list of temporary PNG files in order."""
temp_dir = ensure_temp_dir()
files = [f for f in os.listdir(temp_dir) if f.endswith('.png')]
files.sort() # Ensure correct page order
return [os.path.join(temp_dir, f) for f in files]
@click.group()
def cli():
"""PDF cleaning toolbox for musical scores."""
pass
@cli.command()
@click.argument('input_pdf', type=click.Path(exists=True))
def extract(input_pdf):
"""Extract pages from PDF to temporary directory."""
temp_dir = ensure_temp_dir()
# Convert PDF to images
print(f"Extracting pages from {input_pdf}...")
pages = convert_from_path(input_pdf, dpi=400)
# Save each page
for i, page in enumerate(pages):
output_path = os.path.join(temp_dir, f"page_{i:03d}.png")
page.save(output_path, "PNG", optimize=False)
print(f"Saved page {i+1}/{len(pages)}")
print(f"Extracted {len(pages)} pages to {temp_dir}/")
@cli.command()
def deskew():
"""Deskew all pages in temporary directory."""
temp_files = get_temp_files()
if not temp_files:
print("No pages found in temporary directory. Run 'extract' first.")
return
for file_path in temp_files:
print(f"Deskewing {os.path.basename(file_path)}...")
# Read image
image = cv2.imread(file_path)
# Convert to grayscale
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# Apply threshold to get binary image
_, binary = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY)
# Create a rectangular kernel that's wider than it is tall
# This helps detect horizontal lines
kernel_length = np.array(binary).shape[1]//80
horizontal_kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (kernel_length, 1))
# Detect horizontal lines
horizontal_lines = cv2.erode(binary, horizontal_kernel, iterations=3)
horizontal_lines = cv2.dilate(horizontal_lines, horizontal_kernel, iterations=3)
# Use probabilistic Hough transform to detect line segments
line_segments = cv2.HoughLinesP(
cv2.bitwise_not(horizontal_lines),
rho=1,
theta=np.pi/180,
threshold=100,
minLineLength=binary.shape[1]//4, # Lines must be at least 1/4 of image width
maxLineGap=20
)
if line_segments is not None and len(line_segments) > 0:
# Calculate angles of detected line segments
angles = []
for line in line_segments:
x1, y1, x2, y2 = line[0]
if x2 - x1 == 0: # Avoid division by zero
continue
angle = np.degrees(np.arctan2(y2 - y1, x2 - x1))
# Only consider angles that are close to horizontal
if abs(angle) < 20:
angles.append(angle)
if angles:
# Use median angle to avoid outliers
median_angle = np.median(angles)
# Only rotate if the angle is significant but not too large
if 0.5 < abs(median_angle) < 20:
height, width = image.shape[:2]
center = (width/2, height/2)
rotation_matrix = cv2.getRotationMatrix2D(center, median_angle, 1.0)
rotated = cv2.warpAffine(image, rotation_matrix, (width, height),
flags=cv2.INTER_CUBIC,
borderMode=cv2.BORDER_REPLICATE)
# Save rotated image
cv2.imwrite(file_path, rotated)
print(f" Rotated by {median_angle:.2f} degrees")
else:
print(" No significant rotation needed")
else:
print(" No valid horizontal lines found")
else:
print(" No line segments detected")
@cli.command()
@click.argument('output_pdf', type=click.Path())
def finalize(output_pdf):
"""Combine processed pages into final PDF and clean up."""
temp_dir = ensure_temp_dir()
temp_files = get_temp_files()
if not temp_files:
print("No pages found in temporary directory. Run 'extract' first.")
return
print(f"Combining {len(temp_files)} pages into {output_pdf}...")
# Convert to PDF
with open(output_pdf, "wb") as f:
f.write(img2pdf.convert(temp_files))
# Clean up temporary files
print("Cleaning up temporary files...")
for file_path in temp_files:
os.remove(file_path)
os.rmdir(temp_dir)
print("PDF created successfully and temporary files removed!")
if __name__ == '__main__':
cli()