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@acsenrafilho acsenrafilho released this 20 Jan 14:19
· 1 commit to main since this release
v0.6.0
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Release Notes: Version v0.6.0

Overview

Version v0.6.0 brings an array of enhancements, bug fixes, and new features, improving the functionality, usability, and robustness of the Cucaracha library. This release focuses on advancing machine learning tasks such as image classification and segmentation, data augmentation, and model evaluation, while refining the codebase and documentation.

🚀 New Features

Image Classification Enhancements

  • Dataset Augmentation:
    • Added a script to generate augmented datasets.
      Commit: a990cc1
    • Improved data augmentation techniques.
      Commit: 54ec923
  • Visualization Support:
    • Added functionality to visualize training samples before proceeding with training.
      Commit: bcad26a
  • Custom TensorBoard Callback:
    • Log training images during model training.
      Commit: f069df4
  • Architecture Listing:
    • Added --arch_list option to display available classification architectures.
      Commit: ee33725
  • Evaluation Script:
    • Introduced a detailed reporting and visualization script for evaluating pretrained models.
      Commit: 07c734d

Image Segmentation Enhancements

  • Refactored ImageSegmentationTrainer for better model initialization and metrics handling.
    Commit: 35d297a

Data Handling

  • Added support for loading class labels from a JSON file in the model evaluation script.
    Commit: 242e9da
  • Integrated the image_auto_fit function to resize images for Keras model input.
    Commit: e03a3c2

Dependency Updates

  • Added scikit-learn and seaborn for data visualization and analytics.
    Commit: df8f783
  • Upgraded keras to version 3.8.0 and included scipy for scientific computing.
    Commits: 294b476, d7adf65

🛠️ Enhancements

  • Updated parameter validation for image classification tasks.
    Commit: 588b401
  • Introduced functions to plot confusion matrices and handle organized datasets efficiently.
    Commits: cf46b69, fca10ff
  • Improved configuration files with validation for allowed image extensions.
    Commit: ce666fb

🐛 Bug Fixes

  • Fixed import paths to align modules and tasks.
    Commits: b63d944, a039329
  • Fixed __str__ method implementations for ML models.
    Commit: ca35d5b
  • Resolved issues with missing initialization files in the tasks module.
    Commit: 57f8f4a
  • Removed unused image file links from classification datasets.
    Commit: 2c59293

📝 Documentation Updates

  • Improved docstrings for better clarity and formatting in key functions.
    Commit: 2075c1e
  • Added detailed documentation for model architect and identification functions.
    Commit: 0129375

🔧 Codebase Improvements

  • Refactored import statements for consistency and readability.
    Commits: 8f261c8, 37be488
  • Improved code style with pragma comments and clean-up tasks.
    Commits: acdefe4, 7d33184

Upgrade Instructions

  1. Update the library:

    pip install cucaracha --upgrade

  2. Explore new features:
    Check out the updated documentation for guidance on using the new features.

Enjoy the new version and happy coding! 🚀

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