2380d33861
- Context Compaction System with token counting and summarization - Deterministic State Machine for flow control (no LLM decisions) - Parallel Execution Engine (up to 12 concurrent sessions) - Event-Driven Coordination via Event Bus - Agent Workspace Isolation (tools, memory, identity, files) - YAML Workflow Integration (OpenClaw/Lobster compatible) - Claude Code integration layer - Complete demo UI with real-time visualization - Comprehensive documentation and README Components: - agent-system/: Context management, token counting, subagent spawning - pipeline-system/: State machine, parallel executor, event bus, workflows - skills/: AI capabilities (LLM, ASR, TTS, VLM, image generation, etc.) - src/app/: Next.js demo application Total: ~100KB of production-ready TypeScript code
36 lines
1.1 KiB
Python
Executable File
36 lines
1.1 KiB
Python
Executable File
import os
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import sys
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from pdf2image import convert_from_path
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# Converts each page of a PDF to a PNG image.
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def convert(pdf_path, output_dir, max_dim=1000):
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images = convert_from_path(pdf_path, dpi=200)
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for i, image in enumerate(images):
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# Scale image if needed to keep width/height under `max_dim`
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width, height = image.size
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if width > max_dim or height > max_dim:
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scale_factor = min(max_dim / width, max_dim / height)
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new_width = int(width * scale_factor)
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new_height = int(height * scale_factor)
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image = image.resize((new_width, new_height))
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image_path = os.path.join(output_dir, f"page_{i+1}.png")
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image.save(image_path)
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print(f"Saved page {i+1} as {image_path} (size: {image.size})")
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print(f"Converted {len(images)} pages to PNG images")
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if __name__ == "__main__":
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if len(sys.argv) != 3:
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print("Usage: convert_pdf_to_images.py [input pdf] [output directory]")
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sys.exit(1)
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pdf_path = sys.argv[1]
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output_directory = sys.argv[2]
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convert(pdf_path, output_directory)
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