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hwdec/opengl: Add support for CUDA and cuvid/NvDecode Nvidia's "NvDecode" API (up until recently called "cuvid" is a cross platform, but nvidia proprietary API that exposes their hardware video decoding capabilities. It is analogous to their DXVA or VDPAU support on Windows or Linux but without using platform specific API calls. As a rule, you'd rather use DXVA or VDPAU as these are more mature and well supported APIs, but on Linux, VDPAU is falling behind the hardware capabilities, and there's no sign that nvidia are making the investments to update it. Most concretely, this means that there is no VP8/9 or HEVC Main10 support in VDPAU. On the other hand, NvDecode does export vp8/9 and partial support for HEVC Main10 (more on that below). ffmpeg already has support in the form of the "cuvid" family of decoders. Due to the design of the API, it is best exposed as a full decoder rather than an hwaccel. As such, there are decoders like h264_cuvid, hevc_cuvid, etc. These decoders support two output paths today - in both cases, NV12 frames are returned, either in CUDA device memory or regular system memory. In the case of the system memory path, the decoders can be used as-is in mpv today with a command line like: mpv --vd=lavc:h264_cuvid foobar.mp4 Doing this will take advantage of hardware decoding, but the cost of the memcpy to system memory adds up, especially for high resolution video (4K etc). To avoid that, we need an hwdec that takes advantage of CUDA's OpenGL interop to copy from device memory into OpenGL textures. That is what this change implements. The process is relatively simple as only basic device context aquisition needs to be done by us - the CUDA buffer pool is managed by the decoder - thankfully. The hwdec looks a bit like the vdpau interop one - the hwdec maintains a single set of plane textures and each output frame is repeatedly mapped into these textures to pass on. The frames are always in NV12 format, at least until 10bit output supports emerges. The only slightly interesting part of the copying process is that CUDA works by associating PBOs, so we need to define these for each of the textures. TODO Items: * I need to add a download_image function for screenshots. This would do the same copy to system memory that the decoder's system memory output does. * There are items to investigate on the ffmpeg side. There appears to be a problem with timestamps for some content. Final note: I mentioned HEVC Main10. While there is no 10bit output support, NvDecode can return dithered 8bit NV12 so you can take advantage of the hardware acceleration. This particular mode requires compiling ffmpeg with a modified header (or possibly the CUDA 8 RC) and is not upstream in ffmpeg yet. Usage: You will need to specify vo=opengl and hwdec=cuda. Note that hwdec=auto will probably not work as it will try to use vdpau first. mpv --hwdec=cuda --vo=opengl foobar.mp4 If you want to use filters that require frames in system memory, just use the decoder directly without the hwdec, as documented above.
2016-09-04 22:23:55 +00:00
/*
* This file is part of mpv.
*
* Copyright (c) 2016 Philip Langdale <philipl@overt.org>
*
* mpv is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
* License as published by the Free Software Foundation; either
* version 2.1 of the License, or (at your option) any later version.
*
* mpv is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with mpv. If not, see <http://www.gnu.org/licenses/>.
*/
vo_opengl: hwdec_cuda: Use dynamic loading for cuda functions This change applies the pattern used in ffmpeg to dynamically load cuda, to avoid requiring the CUDA SDK at build time.
2016-10-08 23:51:15 +00:00
// This define and typedef prevent hwcontext_cuda.h trying to include cuda.h
#define CUDA_VERSION 7050
typedef void * CUcontext;
hwdec/opengl: Add support for CUDA and cuvid/NvDecode Nvidia's "NvDecode" API (up until recently called "cuvid" is a cross platform, but nvidia proprietary API that exposes their hardware video decoding capabilities. It is analogous to their DXVA or VDPAU support on Windows or Linux but without using platform specific API calls. As a rule, you'd rather use DXVA or VDPAU as these are more mature and well supported APIs, but on Linux, VDPAU is falling behind the hardware capabilities, and there's no sign that nvidia are making the investments to update it. Most concretely, this means that there is no VP8/9 or HEVC Main10 support in VDPAU. On the other hand, NvDecode does export vp8/9 and partial support for HEVC Main10 (more on that below). ffmpeg already has support in the form of the "cuvid" family of decoders. Due to the design of the API, it is best exposed as a full decoder rather than an hwaccel. As such, there are decoders like h264_cuvid, hevc_cuvid, etc. These decoders support two output paths today - in both cases, NV12 frames are returned, either in CUDA device memory or regular system memory. In the case of the system memory path, the decoders can be used as-is in mpv today with a command line like: mpv --vd=lavc:h264_cuvid foobar.mp4 Doing this will take advantage of hardware decoding, but the cost of the memcpy to system memory adds up, especially for high resolution video (4K etc). To avoid that, we need an hwdec that takes advantage of CUDA's OpenGL interop to copy from device memory into OpenGL textures. That is what this change implements. The process is relatively simple as only basic device context aquisition needs to be done by us - the CUDA buffer pool is managed by the decoder - thankfully. The hwdec looks a bit like the vdpau interop one - the hwdec maintains a single set of plane textures and each output frame is repeatedly mapped into these textures to pass on. The frames are always in NV12 format, at least until 10bit output supports emerges. The only slightly interesting part of the copying process is that CUDA works by associating PBOs, so we need to define these for each of the textures. TODO Items: * I need to add a download_image function for screenshots. This would do the same copy to system memory that the decoder's system memory output does. * There are items to investigate on the ffmpeg side. There appears to be a problem with timestamps for some content. Final note: I mentioned HEVC Main10. While there is no 10bit output support, NvDecode can return dithered 8bit NV12 so you can take advantage of the hardware acceleration. This particular mode requires compiling ffmpeg with a modified header (or possibly the CUDA 8 RC) and is not upstream in ffmpeg yet. Usage: You will need to specify vo=opengl and hwdec=cuda. Note that hwdec=auto will probably not work as it will try to use vdpau first. mpv --hwdec=cuda --vo=opengl foobar.mp4 If you want to use filters that require frames in system memory, just use the decoder directly without the hwdec, as documented above.
2016-09-04 22:23:55 +00:00
#include <libavutil/hwcontext.h>
#include <libavutil/hwcontext_cuda.h>
#include "common/av_common.h"
vo_opengl: hwdec_cuda: Support P016 output surfaces The latest 375.xx nvidia drivers add support for P016 output surfaces. In combination with an ffmpeg change to return those surfaces, we can display them. The bulk of the work is related to knowing which format you're dealing with at the right time. Once you know, it's straight forward.
2016-11-19 21:57:23 +00:00
#include "video/fmt-conversion.h"
hwdec/opengl: Add support for CUDA and cuvid/NvDecode Nvidia's "NvDecode" API (up until recently called "cuvid" is a cross platform, but nvidia proprietary API that exposes their hardware video decoding capabilities. It is analogous to their DXVA or VDPAU support on Windows or Linux but without using platform specific API calls. As a rule, you'd rather use DXVA or VDPAU as these are more mature and well supported APIs, but on Linux, VDPAU is falling behind the hardware capabilities, and there's no sign that nvidia are making the investments to update it. Most concretely, this means that there is no VP8/9 or HEVC Main10 support in VDPAU. On the other hand, NvDecode does export vp8/9 and partial support for HEVC Main10 (more on that below). ffmpeg already has support in the form of the "cuvid" family of decoders. Due to the design of the API, it is best exposed as a full decoder rather than an hwaccel. As such, there are decoders like h264_cuvid, hevc_cuvid, etc. These decoders support two output paths today - in both cases, NV12 frames are returned, either in CUDA device memory or regular system memory. In the case of the system memory path, the decoders can be used as-is in mpv today with a command line like: mpv --vd=lavc:h264_cuvid foobar.mp4 Doing this will take advantage of hardware decoding, but the cost of the memcpy to system memory adds up, especially for high resolution video (4K etc). To avoid that, we need an hwdec that takes advantage of CUDA's OpenGL interop to copy from device memory into OpenGL textures. That is what this change implements. The process is relatively simple as only basic device context aquisition needs to be done by us - the CUDA buffer pool is managed by the decoder - thankfully. The hwdec looks a bit like the vdpau interop one - the hwdec maintains a single set of plane textures and each output frame is repeatedly mapped into these textures to pass on. The frames are always in NV12 format, at least until 10bit output supports emerges. The only slightly interesting part of the copying process is that CUDA works by associating PBOs, so we need to define these for each of the textures. TODO Items: * I need to add a download_image function for screenshots. This would do the same copy to system memory that the decoder's system memory output does. * There are items to investigate on the ffmpeg side. There appears to be a problem with timestamps for some content. Final note: I mentioned HEVC Main10. While there is no 10bit output support, NvDecode can return dithered 8bit NV12 so you can take advantage of the hardware acceleration. This particular mode requires compiling ffmpeg with a modified header (or possibly the CUDA 8 RC) and is not upstream in ffmpeg yet. Usage: You will need to specify vo=opengl and hwdec=cuda. Note that hwdec=auto will probably not work as it will try to use vdpau first. mpv --hwdec=cuda --vo=opengl foobar.mp4 If you want to use filters that require frames in system memory, just use the decoder directly without the hwdec, as documented above.
2016-09-04 22:23:55 +00:00
#include "video/decode/lavc.h"
cuda: add new way to set cuda context on cuvid codecs See FFmpeg commit c0f17a905f3588bf61ba6d86a83c6835d431ed3d.
2017-05-04 22:44:03 +00:00
#if !NEW_CUDA_HWACCEL
hwdec/opengl: Add support for CUDA and cuvid/NvDecode Nvidia's "NvDecode" API (up until recently called "cuvid" is a cross platform, but nvidia proprietary API that exposes their hardware video decoding capabilities. It is analogous to their DXVA or VDPAU support on Windows or Linux but without using platform specific API calls. As a rule, you'd rather use DXVA or VDPAU as these are more mature and well supported APIs, but on Linux, VDPAU is falling behind the hardware capabilities, and there's no sign that nvidia are making the investments to update it. Most concretely, this means that there is no VP8/9 or HEVC Main10 support in VDPAU. On the other hand, NvDecode does export vp8/9 and partial support for HEVC Main10 (more on that below). ffmpeg already has support in the form of the "cuvid" family of decoders. Due to the design of the API, it is best exposed as a full decoder rather than an hwaccel. As such, there are decoders like h264_cuvid, hevc_cuvid, etc. These decoders support two output paths today - in both cases, NV12 frames are returned, either in CUDA device memory or regular system memory. In the case of the system memory path, the decoders can be used as-is in mpv today with a command line like: mpv --vd=lavc:h264_cuvid foobar.mp4 Doing this will take advantage of hardware decoding, but the cost of the memcpy to system memory adds up, especially for high resolution video (4K etc). To avoid that, we need an hwdec that takes advantage of CUDA's OpenGL interop to copy from device memory into OpenGL textures. That is what this change implements. The process is relatively simple as only basic device context aquisition needs to be done by us - the CUDA buffer pool is managed by the decoder - thankfully. The hwdec looks a bit like the vdpau interop one - the hwdec maintains a single set of plane textures and each output frame is repeatedly mapped into these textures to pass on. The frames are always in NV12 format, at least until 10bit output supports emerges. The only slightly interesting part of the copying process is that CUDA works by associating PBOs, so we need to define these for each of the textures. TODO Items: * I need to add a download_image function for screenshots. This would do the same copy to system memory that the decoder's system memory output does. * There are items to investigate on the ffmpeg side. There appears to be a problem with timestamps for some content. Final note: I mentioned HEVC Main10. While there is no 10bit output support, NvDecode can return dithered 8bit NV12 so you can take advantage of the hardware acceleration. This particular mode requires compiling ffmpeg with a modified header (or possibly the CUDA 8 RC) and is not upstream in ffmpeg yet. Usage: You will need to specify vo=opengl and hwdec=cuda. Note that hwdec=auto will probably not work as it will try to use vdpau first. mpv --hwdec=cuda --vo=opengl foobar.mp4 If you want to use filters that require frames in system memory, just use the decoder directly without the hwdec, as documented above.
2016-09-04 22:23:55 +00:00
static int probe(struct lavc_ctx *ctx, struct vd_lavc_hwdec *hwdec,
const char *codec)
{
if (!hwdec_devices_load(ctx->hwdec_devs, HWDEC_CUDA))
return HWDEC_ERR_NO_CTX;
return 0;
}
static int init(struct lavc_ctx *ctx)
{
vo_opengl: hwdec_cuda: export AVHWDeviceContext So we can use it for filtering later.
2017-01-16 14:34:34 +00:00
ctx->hwdec_priv = hwdec_devices_get(ctx->hwdec_devs, HWDEC_CUDA);
hwdec/opengl: Add support for CUDA and cuvid/NvDecode Nvidia's "NvDecode" API (up until recently called "cuvid" is a cross platform, but nvidia proprietary API that exposes their hardware video decoding capabilities. It is analogous to their DXVA or VDPAU support on Windows or Linux but without using platform specific API calls. As a rule, you'd rather use DXVA or VDPAU as these are more mature and well supported APIs, but on Linux, VDPAU is falling behind the hardware capabilities, and there's no sign that nvidia are making the investments to update it. Most concretely, this means that there is no VP8/9 or HEVC Main10 support in VDPAU. On the other hand, NvDecode does export vp8/9 and partial support for HEVC Main10 (more on that below). ffmpeg already has support in the form of the "cuvid" family of decoders. Due to the design of the API, it is best exposed as a full decoder rather than an hwaccel. As such, there are decoders like h264_cuvid, hevc_cuvid, etc. These decoders support two output paths today - in both cases, NV12 frames are returned, either in CUDA device memory or regular system memory. In the case of the system memory path, the decoders can be used as-is in mpv today with a command line like: mpv --vd=lavc:h264_cuvid foobar.mp4 Doing this will take advantage of hardware decoding, but the cost of the memcpy to system memory adds up, especially for high resolution video (4K etc). To avoid that, we need an hwdec that takes advantage of CUDA's OpenGL interop to copy from device memory into OpenGL textures. That is what this change implements. The process is relatively simple as only basic device context aquisition needs to be done by us - the CUDA buffer pool is managed by the decoder - thankfully. The hwdec looks a bit like the vdpau interop one - the hwdec maintains a single set of plane textures and each output frame is repeatedly mapped into these textures to pass on. The frames are always in NV12 format, at least until 10bit output supports emerges. The only slightly interesting part of the copying process is that CUDA works by associating PBOs, so we need to define these for each of the textures. TODO Items: * I need to add a download_image function for screenshots. This would do the same copy to system memory that the decoder's system memory output does. * There are items to investigate on the ffmpeg side. There appears to be a problem with timestamps for some content. Final note: I mentioned HEVC Main10. While there is no 10bit output support, NvDecode can return dithered 8bit NV12 so you can take advantage of the hardware acceleration. This particular mode requires compiling ffmpeg with a modified header (or possibly the CUDA 8 RC) and is not upstream in ffmpeg yet. Usage: You will need to specify vo=opengl and hwdec=cuda. Note that hwdec=auto will probably not work as it will try to use vdpau first. mpv --hwdec=cuda --vo=opengl foobar.mp4 If you want to use filters that require frames in system memory, just use the decoder directly without the hwdec, as documented above.
2016-09-04 22:23:55 +00:00
return 0;
}
static int init_decoder(struct lavc_ctx *ctx, int w, int h)
{
AVCodecContext *avctx = ctx->avctx;
vo_opengl: hwdec_cuda: export AVHWDeviceContext So we can use it for filtering later.
2017-01-16 14:34:34 +00:00
struct mp_hwdec_ctx *hwctx = ctx->hwdec_priv;
hwdec/opengl: Add support for CUDA and cuvid/NvDecode Nvidia's "NvDecode" API (up until recently called "cuvid" is a cross platform, but nvidia proprietary API that exposes their hardware video decoding capabilities. It is analogous to their DXVA or VDPAU support on Windows or Linux but without using platform specific API calls. As a rule, you'd rather use DXVA or VDPAU as these are more mature and well supported APIs, but on Linux, VDPAU is falling behind the hardware capabilities, and there's no sign that nvidia are making the investments to update it. Most concretely, this means that there is no VP8/9 or HEVC Main10 support in VDPAU. On the other hand, NvDecode does export vp8/9 and partial support for HEVC Main10 (more on that below). ffmpeg already has support in the form of the "cuvid" family of decoders. Due to the design of the API, it is best exposed as a full decoder rather than an hwaccel. As such, there are decoders like h264_cuvid, hevc_cuvid, etc. These decoders support two output paths today - in both cases, NV12 frames are returned, either in CUDA device memory or regular system memory. In the case of the system memory path, the decoders can be used as-is in mpv today with a command line like: mpv --vd=lavc:h264_cuvid foobar.mp4 Doing this will take advantage of hardware decoding, but the cost of the memcpy to system memory adds up, especially for high resolution video (4K etc). To avoid that, we need an hwdec that takes advantage of CUDA's OpenGL interop to copy from device memory into OpenGL textures. That is what this change implements. The process is relatively simple as only basic device context aquisition needs to be done by us - the CUDA buffer pool is managed by the decoder - thankfully. The hwdec looks a bit like the vdpau interop one - the hwdec maintains a single set of plane textures and each output frame is repeatedly mapped into these textures to pass on. The frames are always in NV12 format, at least until 10bit output supports emerges. The only slightly interesting part of the copying process is that CUDA works by associating PBOs, so we need to define these for each of the textures. TODO Items: * I need to add a download_image function for screenshots. This would do the same copy to system memory that the decoder's system memory output does. * There are items to investigate on the ffmpeg side. There appears to be a problem with timestamps for some content. Final note: I mentioned HEVC Main10. While there is no 10bit output support, NvDecode can return dithered 8bit NV12 so you can take advantage of the hardware acceleration. This particular mode requires compiling ffmpeg with a modified header (or possibly the CUDA 8 RC) and is not upstream in ffmpeg yet. Usage: You will need to specify vo=opengl and hwdec=cuda. Note that hwdec=auto will probably not work as it will try to use vdpau first. mpv --hwdec=cuda --vo=opengl foobar.mp4 If you want to use filters that require frames in system memory, just use the decoder directly without the hwdec, as documented above.
2016-09-04 22:23:55 +00:00
cuda: add new way to set cuda context on cuvid codecs See FFmpeg commit c0f17a905f3588bf61ba6d86a83c6835d431ed3d.
2017-05-04 22:44:03 +00:00
MP_VERBOSE(ctx, "Using old cuda API.\n");
hwdec/opengl: Add support for CUDA and cuvid/NvDecode Nvidia's "NvDecode" API (up until recently called "cuvid" is a cross platform, but nvidia proprietary API that exposes their hardware video decoding capabilities. It is analogous to their DXVA or VDPAU support on Windows or Linux but without using platform specific API calls. As a rule, you'd rather use DXVA or VDPAU as these are more mature and well supported APIs, but on Linux, VDPAU is falling behind the hardware capabilities, and there's no sign that nvidia are making the investments to update it. Most concretely, this means that there is no VP8/9 or HEVC Main10 support in VDPAU. On the other hand, NvDecode does export vp8/9 and partial support for HEVC Main10 (more on that below). ffmpeg already has support in the form of the "cuvid" family of decoders. Due to the design of the API, it is best exposed as a full decoder rather than an hwaccel. As such, there are decoders like h264_cuvid, hevc_cuvid, etc. These decoders support two output paths today - in both cases, NV12 frames are returned, either in CUDA device memory or regular system memory. In the case of the system memory path, the decoders can be used as-is in mpv today with a command line like: mpv --vd=lavc:h264_cuvid foobar.mp4 Doing this will take advantage of hardware decoding, but the cost of the memcpy to system memory adds up, especially for high resolution video (4K etc). To avoid that, we need an hwdec that takes advantage of CUDA's OpenGL interop to copy from device memory into OpenGL textures. That is what this change implements. The process is relatively simple as only basic device context aquisition needs to be done by us - the CUDA buffer pool is managed by the decoder - thankfully. The hwdec looks a bit like the vdpau interop one - the hwdec maintains a single set of plane textures and each output frame is repeatedly mapped into these textures to pass on. The frames are always in NV12 format, at least until 10bit output supports emerges. The only slightly interesting part of the copying process is that CUDA works by associating PBOs, so we need to define these for each of the textures. TODO Items: * I need to add a download_image function for screenshots. This would do the same copy to system memory that the decoder's system memory output does. * There are items to investigate on the ffmpeg side. There appears to be a problem with timestamps for some content. Final note: I mentioned HEVC Main10. While there is no 10bit output support, NvDecode can return dithered 8bit NV12 so you can take advantage of the hardware acceleration. This particular mode requires compiling ffmpeg with a modified header (or possibly the CUDA 8 RC) and is not upstream in ffmpeg yet. Usage: You will need to specify vo=opengl and hwdec=cuda. Note that hwdec=auto will probably not work as it will try to use vdpau first. mpv --hwdec=cuda --vo=opengl foobar.mp4 If you want to use filters that require frames in system memory, just use the decoder directly without the hwdec, as documented above.
2016-09-04 22:23:55 +00:00
if (avctx->hw_frames_ctx) {
MP_ERR(ctx, "hw_frames_ctx already initialised!\n");
return -1;
}
vo_opengl: hwdec_cuda: export AVHWDeviceContext So we can use it for filtering later.
2017-01-16 14:34:34 +00:00
avctx->hw_frames_ctx = av_hwframe_ctx_alloc(hwctx->av_device_ref);
hwdec/opengl: Add support for CUDA and cuvid/NvDecode Nvidia's "NvDecode" API (up until recently called "cuvid" is a cross platform, but nvidia proprietary API that exposes their hardware video decoding capabilities. It is analogous to their DXVA or VDPAU support on Windows or Linux but without using platform specific API calls. As a rule, you'd rather use DXVA or VDPAU as these are more mature and well supported APIs, but on Linux, VDPAU is falling behind the hardware capabilities, and there's no sign that nvidia are making the investments to update it. Most concretely, this means that there is no VP8/9 or HEVC Main10 support in VDPAU. On the other hand, NvDecode does export vp8/9 and partial support for HEVC Main10 (more on that below). ffmpeg already has support in the form of the "cuvid" family of decoders. Due to the design of the API, it is best exposed as a full decoder rather than an hwaccel. As such, there are decoders like h264_cuvid, hevc_cuvid, etc. These decoders support two output paths today - in both cases, NV12 frames are returned, either in CUDA device memory or regular system memory. In the case of the system memory path, the decoders can be used as-is in mpv today with a command line like: mpv --vd=lavc:h264_cuvid foobar.mp4 Doing this will take advantage of hardware decoding, but the cost of the memcpy to system memory adds up, especially for high resolution video (4K etc). To avoid that, we need an hwdec that takes advantage of CUDA's OpenGL interop to copy from device memory into OpenGL textures. That is what this change implements. The process is relatively simple as only basic device context aquisition needs to be done by us - the CUDA buffer pool is managed by the decoder - thankfully. The hwdec looks a bit like the vdpau interop one - the hwdec maintains a single set of plane textures and each output frame is repeatedly mapped into these textures to pass on. The frames are always in NV12 format, at least until 10bit output supports emerges. The only slightly interesting part of the copying process is that CUDA works by associating PBOs, so we need to define these for each of the textures. TODO Items: * I need to add a download_image function for screenshots. This would do the same copy to system memory that the decoder's system memory output does. * There are items to investigate on the ffmpeg side. There appears to be a problem with timestamps for some content. Final note: I mentioned HEVC Main10. While there is no 10bit output support, NvDecode can return dithered 8bit NV12 so you can take advantage of the hardware acceleration. This particular mode requires compiling ffmpeg with a modified header (or possibly the CUDA 8 RC) and is not upstream in ffmpeg yet. Usage: You will need to specify vo=opengl and hwdec=cuda. Note that hwdec=auto will probably not work as it will try to use vdpau first. mpv --hwdec=cuda --vo=opengl foobar.mp4 If you want to use filters that require frames in system memory, just use the decoder directly without the hwdec, as documented above.
2016-09-04 22:23:55 +00:00
if (!avctx->hw_frames_ctx) {
MP_ERR(ctx, "av_hwframe_ctx_alloc failed\n");
goto error;
}
vo_opengl: hwdec_cuda: export AVHWDeviceContext So we can use it for filtering later.
2017-01-16 14:34:34 +00:00
AVHWFramesContext *hwframe_ctx = (void* )avctx->hw_frames_ctx->data;
cuda: initialize hwframes format In retrospect, this seems obvious, but ffmpeg didn't complain until a recent update.
2016-09-28 19:06:56 +00:00
hwframe_ctx->format = AV_PIX_FMT_CUDA;
cuda: fix 10 bit decoding Messy mess. Unsure whether this will be resolved properly in FFmpeg.
2017-01-16 18:58:40 +00:00
// This is proper use of the hw_frames_ctx API, but it does not work
// (appaears to work but fails e.g. with 10 bit). The cuvid wrapper
cuda: add new way to set cuda context on cuvid codecs See FFmpeg commit c0f17a905f3588bf61ba6d86a83c6835d431ed3d.
2017-05-04 22:44:03 +00:00
// does non-standard things, and it's a messy situation. This whole
// file is actually used only with older libavcodec versions.
cuda: fix 10 bit decoding Messy mess. Unsure whether this will be resolved properly in FFmpeg.
2017-01-16 18:58:40 +00:00
/*
cuda: fix AVHWFramesContext initialization This was partially done. Strangely it worked anyway.
2017-01-16 14:35:19 +00:00
hwframe_ctx->width = w;
hwframe_ctx->height = h;
hwframe_ctx->sw_format = avctx->sw_pix_fmt;
if (av_hwframe_ctx_init(avctx->hw_frames_ctx) < 0)
goto error;
cuda: fix 10 bit decoding Messy mess. Unsure whether this will be resolved properly in FFmpeg.
2017-01-16 18:58:40 +00:00
*/
cuda: initialize hwframes format In retrospect, this seems obvious, but ffmpeg didn't complain until a recent update.
2016-09-28 19:06:56 +00:00
hwdec/opengl: Add support for CUDA and cuvid/NvDecode Nvidia's "NvDecode" API (up until recently called "cuvid" is a cross platform, but nvidia proprietary API that exposes their hardware video decoding capabilities. It is analogous to their DXVA or VDPAU support on Windows or Linux but without using platform specific API calls. As a rule, you'd rather use DXVA or VDPAU as these are more mature and well supported APIs, but on Linux, VDPAU is falling behind the hardware capabilities, and there's no sign that nvidia are making the investments to update it. Most concretely, this means that there is no VP8/9 or HEVC Main10 support in VDPAU. On the other hand, NvDecode does export vp8/9 and partial support for HEVC Main10 (more on that below). ffmpeg already has support in the form of the "cuvid" family of decoders. Due to the design of the API, it is best exposed as a full decoder rather than an hwaccel. As such, there are decoders like h264_cuvid, hevc_cuvid, etc. These decoders support two output paths today - in both cases, NV12 frames are returned, either in CUDA device memory or regular system memory. In the case of the system memory path, the decoders can be used as-is in mpv today with a command line like: mpv --vd=lavc:h264_cuvid foobar.mp4 Doing this will take advantage of hardware decoding, but the cost of the memcpy to system memory adds up, especially for high resolution video (4K etc). To avoid that, we need an hwdec that takes advantage of CUDA's OpenGL interop to copy from device memory into OpenGL textures. That is what this change implements. The process is relatively simple as only basic device context aquisition needs to be done by us - the CUDA buffer pool is managed by the decoder - thankfully. The hwdec looks a bit like the vdpau interop one - the hwdec maintains a single set of plane textures and each output frame is repeatedly mapped into these textures to pass on. The frames are always in NV12 format, at least until 10bit output supports emerges. The only slightly interesting part of the copying process is that CUDA works by associating PBOs, so we need to define these for each of the textures. TODO Items: * I need to add a download_image function for screenshots. This would do the same copy to system memory that the decoder's system memory output does. * There are items to investigate on the ffmpeg side. There appears to be a problem with timestamps for some content. Final note: I mentioned HEVC Main10. While there is no 10bit output support, NvDecode can return dithered 8bit NV12 so you can take advantage of the hardware acceleration. This particular mode requires compiling ffmpeg with a modified header (or possibly the CUDA 8 RC) and is not upstream in ffmpeg yet. Usage: You will need to specify vo=opengl and hwdec=cuda. Note that hwdec=auto will probably not work as it will try to use vdpau first. mpv --hwdec=cuda --vo=opengl foobar.mp4 If you want to use filters that require frames in system memory, just use the decoder directly without the hwdec, as documented above.
2016-09-04 22:23:55 +00:00
return 0;
error:
av_buffer_unref(&avctx->hw_frames_ctx);
return -1;
}
static void uninit(struct lavc_ctx *ctx)
{
ctx->hwdec_priv = NULL;
}
static struct mp_image *process_image(struct lavc_ctx *ctx, struct mp_image *img)
{
if (img->imgfmt == IMGFMT_CUDA)
vo_opengl: hwdec_cuda: Support P016 output surfaces The latest 375.xx nvidia drivers add support for P016 output surfaces. In combination with an ffmpeg change to return those surfaces, we can display them. The bulk of the work is related to knowing which format you're dealing with at the right time. Once you know, it's straight forward.
2016-11-19 21:57:23 +00:00
img->params.hw_subfmt = pixfmt2imgfmt(ctx->avctx->sw_pix_fmt);
hwdec/opengl: Add support for CUDA and cuvid/NvDecode Nvidia's "NvDecode" API (up until recently called "cuvid" is a cross platform, but nvidia proprietary API that exposes their hardware video decoding capabilities. It is analogous to their DXVA or VDPAU support on Windows or Linux but without using platform specific API calls. As a rule, you'd rather use DXVA or VDPAU as these are more mature and well supported APIs, but on Linux, VDPAU is falling behind the hardware capabilities, and there's no sign that nvidia are making the investments to update it. Most concretely, this means that there is no VP8/9 or HEVC Main10 support in VDPAU. On the other hand, NvDecode does export vp8/9 and partial support for HEVC Main10 (more on that below). ffmpeg already has support in the form of the "cuvid" family of decoders. Due to the design of the API, it is best exposed as a full decoder rather than an hwaccel. As such, there are decoders like h264_cuvid, hevc_cuvid, etc. These decoders support two output paths today - in both cases, NV12 frames are returned, either in CUDA device memory or regular system memory. In the case of the system memory path, the decoders can be used as-is in mpv today with a command line like: mpv --vd=lavc:h264_cuvid foobar.mp4 Doing this will take advantage of hardware decoding, but the cost of the memcpy to system memory adds up, especially for high resolution video (4K etc). To avoid that, we need an hwdec that takes advantage of CUDA's OpenGL interop to copy from device memory into OpenGL textures. That is what this change implements. The process is relatively simple as only basic device context aquisition needs to be done by us - the CUDA buffer pool is managed by the decoder - thankfully. The hwdec looks a bit like the vdpau interop one - the hwdec maintains a single set of plane textures and each output frame is repeatedly mapped into these textures to pass on. The frames are always in NV12 format, at least until 10bit output supports emerges. The only slightly interesting part of the copying process is that CUDA works by associating PBOs, so we need to define these for each of the textures. TODO Items: * I need to add a download_image function for screenshots. This would do the same copy to system memory that the decoder's system memory output does. * There are items to investigate on the ffmpeg side. There appears to be a problem with timestamps for some content. Final note: I mentioned HEVC Main10. While there is no 10bit output support, NvDecode can return dithered 8bit NV12 so you can take advantage of the hardware acceleration. This particular mode requires compiling ffmpeg with a modified header (or possibly the CUDA 8 RC) and is not upstream in ffmpeg yet. Usage: You will need to specify vo=opengl and hwdec=cuda. Note that hwdec=auto will probably not work as it will try to use vdpau first. mpv --hwdec=cuda --vo=opengl foobar.mp4 If you want to use filters that require frames in system memory, just use the decoder directly without the hwdec, as documented above.
2016-09-04 22:23:55 +00:00
return img;
}
cuda: add new way to set cuda context on cuvid codecs See FFmpeg commit c0f17a905f3588bf61ba6d86a83c6835d431ed3d.
2017-05-04 22:44:03 +00:00
const struct vd_lavc_hwdec mp_vd_lavc_cuda_old = {
hwdec/opengl: Add support for CUDA and cuvid/NvDecode Nvidia's "NvDecode" API (up until recently called "cuvid" is a cross platform, but nvidia proprietary API that exposes their hardware video decoding capabilities. It is analogous to their DXVA or VDPAU support on Windows or Linux but without using platform specific API calls. As a rule, you'd rather use DXVA or VDPAU as these are more mature and well supported APIs, but on Linux, VDPAU is falling behind the hardware capabilities, and there's no sign that nvidia are making the investments to update it. Most concretely, this means that there is no VP8/9 or HEVC Main10 support in VDPAU. On the other hand, NvDecode does export vp8/9 and partial support for HEVC Main10 (more on that below). ffmpeg already has support in the form of the "cuvid" family of decoders. Due to the design of the API, it is best exposed as a full decoder rather than an hwaccel. As such, there are decoders like h264_cuvid, hevc_cuvid, etc. These decoders support two output paths today - in both cases, NV12 frames are returned, either in CUDA device memory or regular system memory. In the case of the system memory path, the decoders can be used as-is in mpv today with a command line like: mpv --vd=lavc:h264_cuvid foobar.mp4 Doing this will take advantage of hardware decoding, but the cost of the memcpy to system memory adds up, especially for high resolution video (4K etc). To avoid that, we need an hwdec that takes advantage of CUDA's OpenGL interop to copy from device memory into OpenGL textures. That is what this change implements. The process is relatively simple as only basic device context aquisition needs to be done by us - the CUDA buffer pool is managed by the decoder - thankfully. The hwdec looks a bit like the vdpau interop one - the hwdec maintains a single set of plane textures and each output frame is repeatedly mapped into these textures to pass on. The frames are always in NV12 format, at least until 10bit output supports emerges. The only slightly interesting part of the copying process is that CUDA works by associating PBOs, so we need to define these for each of the textures. TODO Items: * I need to add a download_image function for screenshots. This would do the same copy to system memory that the decoder's system memory output does. * There are items to investigate on the ffmpeg side. There appears to be a problem with timestamps for some content. Final note: I mentioned HEVC Main10. While there is no 10bit output support, NvDecode can return dithered 8bit NV12 so you can take advantage of the hardware acceleration. This particular mode requires compiling ffmpeg with a modified header (or possibly the CUDA 8 RC) and is not upstream in ffmpeg yet. Usage: You will need to specify vo=opengl and hwdec=cuda. Note that hwdec=auto will probably not work as it will try to use vdpau first. mpv --hwdec=cuda --vo=opengl foobar.mp4 If you want to use filters that require frames in system memory, just use the decoder directly without the hwdec, as documented above.
2016-09-04 22:23:55 +00:00
.type = HWDEC_CUDA,
.image_format = IMGFMT_CUDA,
.lavc_suffix = "_cuvid",
.probe = probe,
.init = init,
.uninit = uninit,
.init_decoder = init_decoder,
.process_image = process_image,
};
cuda: add new way to set cuda context on cuvid codecs See FFmpeg commit c0f17a905f3588bf61ba6d86a83c6835d431ed3d.
2017-05-04 22:44:03 +00:00
#endif