Fast, memory-efficient image tiling and reconstruction for deep learning and scientific computing
Project description
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)
Process any image, any size, any channel count.
TileFlow scales with your data.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file tileflow-0.7.5.tar.gz.
File metadata
- Download URL: tileflow-0.7.5.tar.gz
- Upload date:
- Size: 12.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.8.17
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
111eb3cbce940dfb717f55f2e9c46ae5f873c0b88b6f4ccb5e23b58699fc67be
|
|
| MD5 |
a759d3a0862ab4d59983ad717e7902f3
|
|
| BLAKE2b-256 |
c3840659f49e6f92a4eda560d7d4994159ecce8f87a9b1eb393f36b7c9f70f6e
|
File details
Details for the file tileflow-0.7.5-py3-none-any.whl.
File metadata
- Download URL: tileflow-0.7.5-py3-none-any.whl
- Upload date:
- Size: 11.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.8.17
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3f0b592c94fc8bec2fa505b94f78102dee67c6731a5e9373c729ce3ba2cabffb
|
|
| MD5 |
75c068de8b0d62b439d0e87f5dd792cd
|
|
| BLAKE2b-256 |
38b7287f2e37f9bef0a1340075db157e908100c25f2573c55ec846d69f624520
|
