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September 27, 2024 10:59
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PDF Generation for Image Comparison
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import csv | |
from reportlab.lib.pagesizes import landscape | |
from reportlab.platypus import SimpleDocTemplate, Paragraph, Image, PageBreak | |
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle | |
from reportlab.lib import colors | |
from reportlab.platypus import Table, TableStyle | |
from reportlab.lib.units import inch | |
from PIL import Image as PILImage | |
from io import BytesIO | |
from pathlib import Path | |
from tqdm import tqdm | |
def read_csv(file_path): | |
with open(file_path, 'r') as f: | |
return list(csv.DictReader(f)) | |
def pil_to_reportlab(pil_img): | |
img_buffer = BytesIO() | |
pil_img.save(img_buffer, format='PNG') | |
img_buffer.seek(0) | |
return Image(img_buffer) | |
def create_pdf_chunk(chunk_data, output_pdf): | |
page_width, page_height = landscape((16 * inch, 9 * inch)) | |
doc = SimpleDocTemplate(str(output_pdf), pagesize=(page_width, page_height)) | |
styles = getSampleStyleSheet() | |
title_style = ParagraphStyle( | |
'TitleStyle', | |
parent=styles['Heading2'], | |
fontSize=14, | |
spaceAfter=12, | |
alignment=1 # Center alignment | |
) | |
caption_style = ParagraphStyle( | |
'CaptionStyle', | |
parent=styles['Normal'], | |
fontSize=10, | |
alignment=1 # Center alignment | |
) | |
elements = [] | |
for q_row, o_row in chunk_data: | |
try: | |
assert q_row['prompt'] == o_row['prompt'], "Prompts do not match" | |
title = f"{q_row['prompt']} (seed = {q_row['seed']})" | |
elements.append(Paragraph(title, title_style)) | |
q_img = PILImage.open(q_row['image_path']) | |
o_img = PILImage.open(o_row['image_path']) | |
max_height = page_height * 0.5 | |
q_img.thumbnail((max_height, max_height)) | |
o_img.thumbnail((max_height, max_height)) | |
data = [ | |
[pil_to_reportlab(q_img), pil_to_reportlab(o_img)], | |
[Paragraph("Quantized", caption_style), Paragraph("Original", caption_style)] | |
] | |
t = Table(data, colWidths=[page_width / 2 - 0.5 * inch, page_width / 2 - 0.5 * inch]) | |
t.setStyle(TableStyle([ | |
('ALIGN', (0, 0), (-1, -1), 'CENTER'), | |
('VALIGN', (0, 0), (-1, -1), 'MIDDLE'), | |
])) | |
elements.append(t) | |
elements.append(PageBreak()) | |
except Exception as e: | |
print(f"Error processing images: {str(e)}") | |
print(f"Quantized image path: {q_row['image_path']}") | |
print(f"Original image path: {o_row['image_path']}") | |
try: | |
doc.build(elements) | |
print(f"PDF chunk generated successfully: {output_pdf}") | |
except Exception as e: | |
print(f"Error building PDF chunk: {str(e)}") | |
def create_chunked_pdfs(quantized_data, original_data, output_pdf_dir, chunk_size=50): | |
output_pdf_dir = Path(output_pdf_dir) | |
output_pdf_dir.mkdir(parents=True, exist_ok=True) | |
data = list(zip(quantized_data, original_data)) | |
chunks = [data[i:i + chunk_size] for i in range(0, len(data), chunk_size)] | |
for i, chunk in enumerate(tqdm(chunks, desc="Generating PDF chunks")): | |
output_pdf = output_pdf_dir / f"chunk_{i+1}.pdf" | |
create_pdf_chunk(chunk, output_pdf) | |
# Main execution | |
quantized_data = read_csv('/home/docker/api_image_generation_log.csv') | |
original_data = read_csv('/home/docker/quantized_image_generation_log.csv') | |
output_pdf_dir = Path.home() / 'image_comparison_chunks' | |
output_pdf_dir.mkdir(parents=True, exist_ok=True) | |
create_chunked_pdfs(quantized_data, original_data, output_pdf_dir, chunk_size=50) |
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