Remove denoise module and thirdparty OIDN.

This is replaced by a much lighter weight and faster JNLM denoiser. OIDN is still much more accurate, and may be provided as an optional backend in the future, but the JNLM denoiser seems good enough for most use cases and removing OIDN reduces the build system complexity, binary size, and build times very significantly.

thirdparty/README.md

@@ -642,37 +642,6 @@ Files extracted from the upstream source:
 - `nvapi_minimal.h` was created by using `nvapi.h` from upstream and removing unnecessary code.
 
 
-## oidn
-
-- Upstream: https://github.com/OpenImageDenoise/oidn
-- Version: 1.1.0 (c58c5216db05ceef4cde5a096862f2eeffd14c06, 2019)
-- License: Apache 2.0
-
-Files extracted from upstream source:
-
-- common/* (except tasking.* and CMakeLists.txt)
-- core/*
-- include/OpenImageDenoise/* (except version.h.in)
-- LICENSE.txt
-- mkl-dnn/include/*
-- mkl-dnn/src/* (except CMakeLists.txt)
-- weights/rtlightmap_hdr.tza
-- scripts/resource_to_cpp.py
-
-Modified files:
-Modifications are marked with `// -- GODOT start --` and `// -- GODOT end --`.
-Patch files are provided in `oidn/patches/`.
-
-- core/autoencoder.cpp
-- core/autoencoder.h
-- core/common.h
-- core/device.cpp
-- core/device.h
-- core/transfer_function.cpp
-
-- scripts/resource_to_cpp.py (used in modules/denoise/resource_to_cpp.py)
-
-
 ## openxr
 
 - Upstream: https://github.com/KhronosGroup/OpenXR-SDK