Commit graph

7 commits

Author SHA1 Message Date
Seungha Yang
22eab50907 nvdec: Add fallback for CUDA/OpenGL interop failure
It happens when local OpenGL context belongs to non-nvidia GPU.
2020-03-19 13:58:09 +09:00
Nirbheek Chauhan
1a7ea45ffd nvcodec: Fix crash on 32-bit Windows
We weren't using the correct calling convention when calling CUDA and
CUVID APIs. `CUDAAPI` is `__stdcall` on Windows. This was working fine
on x64 because `__stdcall` is ignored and there's no special calling
convention. However, on x86, we need to use `__stdcall`.
2020-01-20 17:15:55 +05:30
Nirbheek Chauhan
7e93ae0638 nvcodec: cuda.h only needs glib.h, not gst.h
Just a nitpick. Also, force the compiler to use our stub header
instead of searching for it in the include paths.
2020-01-20 15:10:51 +05:30
Seungha Yang
da075b94a9 cudautils: Add GstCudaGraphicsResource structure for better openGL interoperability
Introduce GstCudaGraphicsResource structure to represent registered
CUDA graphics resources and to enable sharing the information among
nvdec and nvenc. This structure can reduce the number of resource
registration which cause high overhead.
2019-08-29 18:04:33 +09:00
Seungha Yang
5615e9258f nvdec: Don't use default CUDA stream
Async CUDA operation with default stream (NULL CUstream) is not much
beneficial than blocking operation since all CUDA operations which belong
to the CUDA context will be synchronized with the default stream's operation.
Note that CUDA stream will share all resources of the corresponding CUDA context
but which can help parallel operation similar to the relation between thread and process
2019-08-19 01:18:52 +00:00
Seungha Yang
694f91da88 nvdec: Make OpenGL dependency optional
By adding system memory support for nvdec, both en/decoder
in the nvcodec plugin are able to be usable regardless of
OpenGL dependency. Besides, the direct use of system memory
might have less overhead than OpenGL memory depending on use cases.
(e.g., transcoding using S/W encoder)
2019-07-26 00:01:23 +00:00
Seungha Yang
c18fda03d9 nvdec,nvenc: Port to dynamic library loading
... and put them into new nvcodec plugin.

* nvcodec plugin
Now each nvenc and nvdec element is moved to be a part of nvcodec plugin
for better interoperability.
Additionally, cuda runtime API header dependencies
(i.e., cuda_runtime_api.h and cuda_gl_interop.h) are removed.
Note that cuda runtime APIs have prefix "cuda". Since 1.16 release with
Windows support, only "cuda.h" and "cudaGL.h" dependent symbols have
been used except for some defined types. However, those types could be
replaced with other types which were defined by "cuda.h".

* dynamic library loading
CUDA library will be opened with g_module_open() instead of build-time linking.
On Windows, nvcuda.dll is installed to system path by CUDA Toolkit
installer, and on *nix, user should ensure that libcuda.so.1 can be
loadable (i.e., via LD_LIBRARY_PATH or default dlopen path)
Therefore, NVIDIA_VIDEO_CODEC_SDK_PATH env build time dependency for Windows
is removed.
2019-07-08 10:37:46 +00:00