- Update to 1.4.1:
+ Fixed crash when in-place denoising images with certain unusual
resolutions
+ Fixed compile error when building for Apple Silicon using some
unofficial builds of ISPC
- Update to 1.4.0:
+ Improved fine detail preservation
+ Added the cleanAux filter parameter for further improving
quality when the auxiliary feature (albedo, normal) images are
noise-free
+ Added support for denoising auxiliary feature images, which can
be used together with the new cleanAux parameter for improving
quality when the auxiliary images are noisy (recommended for
final frame denoising)
+ Normals are expected to be in the [-1, 1] range (but still do
not have to be normalized)
+ Added the oidnUpdateFilterData function which must be called
when the contents of an opaque data parameter bound to a filter
(e.g. weights) has been changed after committing the filter
+ Added the oidnRemoveFilterImage and oidnRemoveFilterData
functions for removing previously set image and opaque data
parameters of filters
+ Reduced the overhead of oidnCommitFilter to zero in some cases
(e.g. when changing already set image buffers/pointers or the
inputScale parameter)
+ Reduced filter memory consumption by about 35%
+ Reduced total memory consumption significantly when using
multiple filters that belong to the same device
+ Reduced the default maximum memory consumption to 3000 MB
+ Added the OIDN_FILTER_RT and OIDN_FILTER_RTLIGHTMAP CMake
OBS-URL: https://build.opensuse.org/request/show/921524
OBS-URL: https://build.opensuse.org/package/show/graphics/OpenImageDenoise?expand=0&rev=9
- update to 1.2.2:
* Fixed unhandled exception when canceling filter execution from the
progress monitor callback function
* Fixed tiling artifacts when in-place denoising (using one of the input
* Fixed ghosting/color bleeding artifacts in black regions when using
* Fixed error when building as a static library (`OIDN_STATIC_LIB` option)
* Fixed compile error for ISPC 1.13 and later
* Fixed minor TBB detection issues
* Fixed crash on pre-SSE4 CPUs when using some recent compilers (e.g. GCC 10)
* Link C/C++ runtime library dynamically on Windows too by default
* Renamed example apps (`oidnDenoise`, `oidnTest`)
* Added benchmark app (`oidnBenchmark`)
* Fixed random data augmentation seeding in training
* Fixed training warning with PyTorch 1.5 and later
* Added neural network training code
* Added support for specifying user-trained models at runtime
* Slightly improved denoising quality
* Improved denoising speed by about 7-38% (mostly depending on the compiler)
* Added `OIDN_STATIC_RUNTIME` CMake option (for Windows only)
* Added support for OpenImageIO to the example apps (disabled by default)
* Added check for minimum supported TBB version
* Find debug versions of TBB
* Added testing
OBS-URL: https://build.opensuse.org/request/show/830261
OBS-URL: https://build.opensuse.org/package/show/graphics/OpenImageDenoise?expand=0&rev=7
