v1.0.2

Release 1.0.2 🛠️

[1.0.2] - 21/12/2024

Fixed 🐛

• Package Update Verification: Resolved an issue in the package update verification process to ensure smoother updates and improved stability.

Improved 📈

• Documentation: Enhanced the documentation for better clarity and ease of use, providing more comprehensive examples and explanations.
• Logging: Improved logging functionality to provide more detailed and actionable insights during execution.

Installation 📦

You can install the latest version using pip:

pip install EasIlastik --upgrade

v1.0.0

Release 1.0.0 🎉

What's New 🚀

Added ✨

• New Function: run_ilastik_probabilities()
  • This function allows you to threshold the confidence level on the segmentation result. It provides more control over the segmentation process by enabling you to specify a confidence threshold.

Changed 🔄

• Renamed Variable:
  • The variable project_path has been renamed to model_path in both run_ilastik and run_ilastik_probabilities functions for better clarity and consistency.

Installation 📦

You can install the latest version using pip:

pip install EasIlastik --upgrade

v0.0.1

🎉 First release of EasIlastik v0.0.1 🎉

EasIlastik is a Python package designed to simplify the usage of pre-trained image segmentation models from the Ilastik software within Python workflows.

ℹ️ Key features:

• Simplified usage of pre-trained models with Ilastik
• Automatic detection of the run_ilastik.sh file (Linux, MacOSX) or ilastik.exe file (Windows)
• Support for single images or image folders
• Intuitive error handling