CHANGELOG.md

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog and this project adheres to Semantic Versioning.

[Unreleased]

Added

• New model: DdbpnModel
• New model: RnanModel

Updated

• Fix EvalMetrics shifting model to self.device for evaluation on GPU.

[0.1.6] - 2021-09-06

Updated

• Update EdsrModel to fix no_upsampling bug where self.args was not stored.

[0.1.5] - 2021-08-30

Added

• New model: PhysicssrModel
• New model: DrnModel
• New model: HanModel
• New model: AwsrnModel

[0.1.4] - 2021-08-17

Added

• calculate_mean_std(dataset) to ~super_image.utils.metrics for calculating RGB pixel mean and standard deviation over a dataset.
• New model: DrlnModel
• New model: RcanModel
• New model: MdsrModel
• New model: CarnModel
• New model: PanModel

Updated

• Update EdsrModel to include no_upsampling option so it can be reused for JiifModel.

[0.1.3] - 2021-07-28

Added

• TrainDataset(dataset) with support for huggingface datasets.
• augment_five_crop function for use with dataset.map(augment_five_crop, batched=True)

[0.1.2] - 2021-07-26

Added

• Added metrics EvalMetrics().evaluate(model, eval_dataset) class to calculate PSNR and SSIM on a model and evaluation dataset. Accepts EvalDataset(dataset) with huggingface datasets.

Changed

• Replaced EvalDataset(dataset) to use huggingface datasets instead of H5 files.
• Fixed EvalDataset(dataset) to be robust to wrongly sized HR images (not equals to scaled LR image size).