v0.17.0
v0.17.0 (2026-03-18)
Features
-
Enhance YOLO training and tuning capabilities (
70ab526) -
Added hyperparameter tuning options in
train_yolo26x_seg.shandtrain.py, allowing users to specify tuning epochs and iterations. -
Updated
pipeline.pyto include a newtune_modelfunction for executing Ultralytics' built-in hyperparameter tuning with a custom search space. -
Modified
submit_yolo_experiments.shto support a new--tuneargument for submitting tuning jobs. -
Adjusted README documentation to reflect new tuning features and usage instructions.
-
Updated tests to cover new tuning functionality and ensure correct behavior.
-
Enhance YOLO training scripts with learning rate and dropout parameters (
b5acae5) -
Updated
submit_yolo_experiments.shto accept learning rate and dropout as arguments for job submissions. -
Modified
train_yolo26x_seg.shto include command-line options for learning rate and dropout. -
Adjusted
pipeline.pyandtrain.pyto utilize the new learning rate and dropout parameters during model training. -
Updated unit tests in
test_pipeline.pyto validate the new parameters in training and tuning functions.
Detailed Changes: v0.16.0...v0.17.0