File size: 1,857 Bytes
a98fc5a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 | #!/usr/bin/env python3
import os
from pdf2image import convert_from_path
def extract_pages_to_png(pdf_path, start_page, end_page, output_dir="extracted_pages"):
"""
Extract pages from PDF and save as high-quality PNG images
"""
# Create output directory if it doesn't exist
os.makedirs(output_dir, exist_ok=True)
print(f"Extracting pages {start_page}-{end_page} from {pdf_path}")
print(f"Output directory: {output_dir}")
# Convert PDF pages to images with high DPI for quality
# Extract in batches to manage memory usage
batch_size = 50
total_pages = end_page - start_page + 1
for batch_start in range(start_page, end_page + 1, batch_size):
batch_end = min(batch_start + batch_size - 1, end_page)
print(f"Processing batch: pages {batch_start}-{batch_end}")
try:
# Convert pages with high DPI (300 DPI for high quality)
images = convert_from_path(
pdf_path,
dpi=300,
first_page=batch_start,
last_page=batch_end,
fmt='PNG'
)
# Save each image
for i, image in enumerate(images):
page_num = batch_start + i
output_path = os.path.join(output_dir, f"page_{page_num:04d}.png")
image.save(output_path, "PNG", optimize=True)
print(f"Saved: {output_path}")
except Exception as e:
print(f"Error processing batch {batch_start}-{batch_end}: {e}")
continue
print(f"Extraction complete! Total pages processed: {total_pages}")
if __name__ == "__main__":
pdf_file = "中国手语.pdf"
start_page = 665
end_page = 1089
extract_pages_to_png(pdf_file, start_page, end_page) |