v0.5.1 (2026-06-20)

What's Changed

• Add the option to have an image path inside index file by @fefossa in #349
• Use correct min/max stretching, and guard against flat images by @thouis in #357
• Software gardening by @gwaybio in #362
• Software Gardening Part 2 — v0.5.1 maintenance release by @gwaybio in #368
• Bump the github-actions group across 1 directory with 5 updates by @dependabot[bot] in #365
• Bump the python-packages group with 14 updates by @dependabot[bot] in #366
• Bump the setup-env-actions group across 1 directory with 2 updates by @dependabot[bot] in #369

New Contributors

• @fefossa made their first contribution in #349
• @thouis made their first contribution in #357
• @gwaybio made their first contribution in #362
• @dependabot[bot] made their first contribution in #365

Full Changelog: v0.5.0...v0.5.1

DeepProfiler with TFv1 and TFv2 training strategies Latest

This is a stable version of DeepProfiler with features:

• Label smoothing
• Online labelling training strategy
• TFv2 basic training (separate module)

And some other improvements and bug fixes.

Last TensorFlow v1 stable version

This version of DeepProfiler is the last one based on TensorFlow 1.15.

• Improved training speed and stability.
• Added EfficientNet plugins.
• Support for full image analysis.
• Sampling single cells in separate files for training.
• Fixed minor bugs.

Version 0.1.0

This is the first beta release for DeepProfiler. The following features have been added:

• Plugins system for models, generators, and metrics
• 6 new models
• Crop generators for autoencoders, mixup, and repeated channels
• Improved set of commands
• Hyperparameter optimization