tileflow 0.7.6

Fast, memory-efficient image tiling and reconstruction for deep learning and scientific computing

TileFlow

High-performance tile-based image processing for scientific computing

Process gigapixel images with minimal memory footprint through intelligent tiling and reconstruction. Designed for microscopy, whole-slide imaging, and large-scale computer vision workflows.

🚀 Key Features

• 🧠 Memory Efficient: Process images larger than RAM using intelligent tiling
• 🔬 Multi-Channel Ready: Native CHW format support for microscopy workflows
• ⚡ Zero-Copy Views: Leverages numpy slicing for maximum performance
• 🔧 Seamless Reconstruction: Intelligent overlap handling eliminates artifacts
• ☁️ Cloud-Scale: Built-in zarr integration for massive datasets
• 🎯 Pluggable Pipeline: Custom processing functions integrate seamlessly

📦 Installation

pip install tileflow

📄 License

MIT License - see LICENSE file for details.

🙏 Acknowledgments

Valentin Poque - Core development and architecture (July-September 2025)

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Process any image, any size, any channel count.
TileFlow scales with your data.

📖 Documentation • 🐛 Issues • 💬 Discussions