Releases: AlvaroCavalcante/auto_annotate
Releases · AlvaroCavalcante/auto_annotate
Fixing and upgrading dependencies
In this new release, we changed the version of most of the libraries, fixing dependency errors, conflicts, and security issues.
v1.0.5
Main updates
- TensorFlow from 2.8.2 to 2.11.0
- Pillow from 7.0.0. to 9.3.0
- Six from 1.14.0 to 1.16.0
- Minimum python requirement from 3.6 to 3.8
PyPI, Complete project refactor
This is one of the major updates on the auto annotate project! In this new release, we added the package on PyPI, removed the direct dependencies from TF Garden, and improved the command line arguments.
v1.0.0
Features
- Adding a progress bar
- Adding new argument for model confidence
- Allowing code import of the new AutoAnnotate class
Refactorings
- Improving code loggings and error handlers
- Removed direct dependency of TF Garden
- Transforming XML path in an optional parameter
Initial project version
This release was created to document the initial version of the project that was active from 2019 to 2022!
v0.1.0
Feats
- Auto annotation for TensorFlow 1.x using fronzen graphs.
- Auto annotation for TensorFlow 2.x using saved_models.
- Command line execution
- Dynamically setting XML filenames