[Release] - enhancr Pro 0.9.9 | SCUNet, SwinIR (TensorRT) & DirectML Backend

Changes:

- Added fp16 i/o to RIFE

- Replaced deprecated cupy.cuda.compile_with_cache with cupy.RawModule

- Updated to Python 3.11, TensorRT 8.6.1, cudatoolkit 12.1, PyTorch 2.1.0 nightly & Vapoursynth R62

- Implemented SwinIR (TensorRT)

- Switched webm muxer back to ffmpeg

- Filtering out generic VapourSynth error now, due to people not getting that it's not an error

- Added RealESRGAN (DirectML)

- Removed blur on Windows 10

- Rewrote Queue Backend partially

- Implemented CAIN (DirectML)

- Added dynamic axes to RVPV2 -> extra step for exporting to onnx isn't necessary anymore

- Added DPIR (DirectML)

- Updated ThemeEngine to make UI a bit more consistent

- Implemented SCUNet (TensorRT)

- Small UI Changes overall

Bugfixes:

- Fixed Tiling for ShuffleCUGAN (NCNN)

- Changed optShape calculation for DPIR

- Fixed Subtitle Check when selecting mp4 output container

- Re-enabled CUDNN tactics in TensorRT (thanks nvidia)

- Fixed RIFE TensorRT engine build crashing

- Scaled down Preview encoder (This fixes most "[h264/h265/av1_nvenc @ xxxxxxxxxxxxxxx] No capable devices found" errors. See FAQ in wiki for more infos.)

- Fixed RVPV2 ONNX conversion

- Added padding to NCNN for resolutions non divisible by 8, due to color channels not being put together properly after padding inside model

- Fixed memory leak when reading media metadata that would occur when processing a lot of items in queue

- Fixed duration formatting in Media Info

- Discord Rich Presence properly resetes to idle state when process is completed/canceled now

- Fixed custom pth ESRGAN models

- Removed fp16 i/o from RVPV1 (TRT) to make it work again

Download: https://enhancr.app/setup/enhancr-setup-0.9.9-b30f65e.exe

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