v1.6.4

Changed

• Renamed GitHub Workflows from Distribution to CD and Version test to CI.
• Now caching the VapourSynth installation in GitHub CI workflow.
• Now directly loads a tensor from the VideoFrame data directly, without numpy as a middleman.
• Reduced overall numpy use for Tensor<->VideoFrame operations.
• The half parameter/options have been removed entirely and replaced with automatic infer based on
  input bit-depth. You must explicitly use RGBS if you want FullTensor (float32). Integer and RGBH
  inputs will be converted (if needed) to float16 (HalfTensor) automatically.

Removed

• Removed EOL Python 3.6 from CI Workflow.
• Removed unused infer_sequence method from EGVSR arch.
• Removed unused options and code from frame_to_tensor.
• All manual tensor deletion statements have been removed, they do not seem to help with VRAM.
• The overlap reduction code per-recursion has been removed. The overlap will now always stay
  at the value first provided.

Fixed

• Fixed a big Memory leak, that I still don't know exactly why it happened.
• Fixed minimum Python version listed under Installation docs.
• Improved the accuracy of clamping max size value to an equation on the exact bit depth.
  This fixes the accuracy of RGB 27, 30, 36, and 42.

v1.6.3

Added

• Recursive tiling depth is now cached per-clip, rather than per-frame.

Changed

• Updated numpy to version 1.21.1.

Removed

• Dropped support for Python versions older than 3.7.

Fixed

• Fix another regression with rejoined tensors defaulting creation on the default device.

v1.6.2

Fixed

• Fix another regression due to incorrect overlap scaling calculation from within join_tiles().

v1.6.1

Fixed

• Fix regression due to missing overlap specification to join_tiles() from within recursive_tile_tensor().

v1.6.0

Added

• Add support for EGVSR, Arch and Network.
• Add support for Real-ESRGAN-v2
  aka Anime Video Models (comp. vgg-style arch).
• Ability to use half-precision (fp16, HalfTensor) via half parameter. This can help reduce VRAM.
• Created tiling utilities to tile a tensor, merge tiled tensors, and automatically tile and execute
  recursively.

Changed

• Moved the frame/numpy/tensor utility functions out of the VSGAN class and into utilities.py.
• Renamed HISTORY to CHANGELOG, and updated changelog to be in Keep a Changelog standard.
• Moved VSGAN class from __init__.py to vsgan.py.
• Tiling mode is now always enabled, but will only tile if you wouldn't have otherwise had enough VRAM.
• Overlap now defaults to 16.
• Separated VSGAN class into two separate Network classes, ESRGAN, and EGVSR. VSGAN is no longer used
  and ESRGAN/EGVSR Network classes should now be imported and used instead.
• The functions load_model and run have been renamed to load and apply.

Fixed

• Don't require batch in tensor_to_clip.
• Make change_order False by default in frame_to_tensor, improve rest of the param defaults.
• Don't change order to (2,0,1) for ESRGAN models, was unnecessary and caused issues with Real-ESRGANv2.
• Fixed support for Python versions older than 3.8.
• Fixed example VapourSynth import paths casing.
• Restore support for VapourSynth API 3.
• Now detaches tiles from the GPU after super-resolution, to keep space for the next tile's super-resolution.

v1.5.0

Added

• Add support for ESRGAN+ models, Real-ESRGAN models (including 2x and 1x if pixel-shuffle was used),
  and A-ESRGAN models.
• Add support for Newer-New-arch in ESRGAN new-to-old state dict conversion.

Changed

• Rework model/arch file system structure to /models, /models/blocks and /models/ESRGAN.
• Rework ESRGAN architecture as a singular class, with all ESRGAN-specific operation done within it.
• Move ESRGAN-specific blocks within ESRGAN.py.

Removed

• Removed some unused blocks from RRDBNet.

Fixed

• Ensure clip parameter of VSGAN is a VapourSynth VideoNode object (a clip).
• Move RGB clip check to the constructor of VSGAN rather than run().

v1.1.0

Added

• Added two GitHub Action workflows for CI/CD.

Changed

• Moved the majority of documentation and info from the GitHub Wikis system to the README.

Fixed

• Replace hardcoded in_nc, out_nc, nf, nb, and scale with values taken directly from the model state.
• Check that a model has been loaded before execute can be called.

v1.4.1

Added

• Created new sphinx documentation, replacing the old Jekyll documentation.
• Added HISTORY.md file for recording history (now CHANGELOG.md).

Changed

• Reword some error/warning messages, now less opinionated and more concise.
• Some attributes have been renamed to be more ambiguous in the hopes more Model Architectures get
  supported in the future.

Fixed

• Fix model chaining. It now gets the correct model and model scale values for each FrameEval call.
• Fixed the pytorch extra group to correctly be optional and correctly reference a dependency.
• Some type-hinting has been corrected.

v1.0.8

Changed

• Change the RGB conversion check's kernel to Spline36.

v1.0.7

Removed

• Removed the color-space conversion implemented in [1.0.3] as it can be a lossy operation.
  Let the user decide how/if to convert back to the original format. E.g., what algorithm,
  what matrix, and so on.

Fixed

• Replaced unsafe assert in RRDBNet with an if and raise, as asserts may be removed when
  optimised as python byte code files.