v1.3.2

Updates:

• Add max value control for PSNR, default max value is 1
• Minor bugs fixed

v1.3.1

Updates:

• Minor bugs fixed
• Typing improvement

v1.3

API Updates

• A wrapped loss function will be excluded from manager when saving into checkpoints
• Add confgs.JSONConfigs to directly load a json file
• Add configs.YAMLConfigs to directly load a yaml file, PyYAML package is required
• Add dictionary support during unpack_data for managers
• Add torchmanager_core.view.logging.add_console method to add logger console display
• Introducing callbacks.LambdaCallback and callbacks.MultiCallbacks
• Introducing data.reversed_sliding_window method to restore a torch.Tensor for the sliced windows
• Introducing eval function to evaluate via metrics
• Introducing metrics.PSNR for PSNR metric
• Introducing torchmanager_core.backward package for backward hooking
• Introducing torchmanager_core.errors.ConfigsFormatError, torchmanager_core.errors.TransformError, and torchmanager_core.errors.VersionError for better exception handling
• Move forward method into BaseManager
• Managers will now save API version instead of current version
• The callbacks.Experiment callback now extends callbacks.MultiCallbacks

Other updates:

• Deprecated Python 3.8 Support
• Minor bugs fixed
• Performance Improved
• Typing improved

v1.2.6

Updates:

• Compatibility fixed for PyTorch < 2.1

v1.2.5

Updates:

• Minor bugs fixed
• Typing improvement

v1.2.4

Updates:

• Minor bugs fixed

v1.2.3

Updates:

• Deprecated the old metrics.ConfusionMetrics for name corrected metrics.ConfusionMatrix method.
• Minor bugs fixed
• Move and deprecate package metrics.conf_met into package metrics.conf_mat for name correction

v1.2.2

Updates:

• Introducing torchmanager_core.version package
• Minor bugs fixed
• Typing improvement

v1.2.1

Updates:

• Minor bugs fixed
• Typing improvement

v1.2

API Updates:

• Add class index control for metrics.BinaryConfusionMetric
• Add EPOCH_START and BATCH_START to torchmanager_core.protocols.Frequency
• Add number of workers support for data.Dataset
• Add return_summary parameter for fit method to return training summary after training finished
• Basic configurations implementation with configs.Configs class
• Change metrics.ConfusionMetrics to abstract class
• Deprecated train package
• Implements losses.MAE, metrics.FeatureMetric, metrics.ExtractorScore, metrics.FID, metrics.F1, metrics.Precision, metrics.Recall, metrics.SSIM, metrics.Dice and metrics.PartialDice, scipy package is required for FID
• Introducing backward, forward function to do backward propagation and forward pass in Manager
• Introducing configs package
• Introducing random package with freezing/unfreezing random seeds
• Introducing a new version convert mechanism using torchmanager_core.protocols.VersionConvertible protocol
• Introducing data_parallel and reset method in Manager for multi-GPUs control
• Use forward method to calculate TP, FP, and FN and further calculate metric in forward_metric method in metrics.BinaryConfusionMetric

Other updates:

• Enables update on batch or epoch start for callbacks.FrequencyCallback
• Improved Exception handling during prediction
• Minor bugs fixed
• Removed deprecated methods