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authorAnton Khirnov <anton@khirnov.net>2016-01-15 12:42:42 +0100
committerAnton Khirnov <anton@khirnov.net>2016-02-14 22:25:38 +0100
commit21f7cd4acd8dc4b4796b55966dd015cb037164d8 (patch)
tree8ef006d4fb1262e989f4a3fa2a91ca1633dee832
parent1bf34134612e509fa68c70dfff418c6022459259 (diff)
downloadffmpeg-21f7cd4acd8dc4b4796b55966dd015cb037164d8.tar.gz
lavfi: add a filter for uploading normal frames to CUDA
-rwxr-xr-xconfigure1
-rw-r--r--doc/filters.texi11
-rw-r--r--libavfilter/Makefile1
-rw-r--r--libavfilter/allfilters.c1
-rw-r--r--libavfilter/vf_hwupload_cuda.c237
5 files changed, 251 insertions, 0 deletions
diff --git a/configure b/configure
index fc75e1825b..7c0845bc38 100755
--- a/configure
+++ b/configure
@@ -2382,6 +2382,7 @@ frei0r_filter_extralibs='$ldl'
frei0r_src_filter_deps="frei0r dlopen"
frei0r_src_filter_extralibs='$ldl'
hqdn3d_filter_deps="gpl"
+hwupload_cuda_filter_deps="cuda"
interlace_filter_deps="gpl"
ocv_filter_deps="libopencv"
resample_filter_deps="avresample"
diff --git a/doc/filters.texi b/doc/filters.texi
index b995d757d8..722c8b03b6 100644
--- a/doc/filters.texi
+++ b/doc/filters.texi
@@ -1610,6 +1610,17 @@ A floating point number which specifies chroma temporal strength. It defaults to
@var{luma_tmp}*@var{chroma_spatial}/@var{luma_spatial}.
@end table
+@section hwupload_cuda
+
+Upload system memory frames to a CUDA device.
+
+It accepts the following optional parameters:
+
+@table @option
+@item device
+The number of the CUDA device to use
+@end table
+
@section interlace
Simple interlacing filter from progressive contents. This interleaves upper (or
diff --git a/libavfilter/Makefile b/libavfilter/Makefile
index a95a7ebad0..f5dd2e9ddf 100644
--- a/libavfilter/Makefile
+++ b/libavfilter/Makefile
@@ -56,6 +56,7 @@ OBJS-$(CONFIG_FREI0R_FILTER) += vf_frei0r.o
OBJS-$(CONFIG_GRADFUN_FILTER) += vf_gradfun.o
OBJS-$(CONFIG_HFLIP_FILTER) += vf_hflip.o
OBJS-$(CONFIG_HQDN3D_FILTER) += vf_hqdn3d.o
+OBJS-$(CONFIG_HWUPLOAD_CUDA_FILTER) += vf_hwupload_cuda.o
OBJS-$(CONFIG_INTERLACE_FILTER) += vf_interlace.o
OBJS-$(CONFIG_LUT_FILTER) += vf_lut.o
OBJS-$(CONFIG_LUTRGB_FILTER) += vf_lut.o
diff --git a/libavfilter/allfilters.c b/libavfilter/allfilters.c
index 67a298d5fc..4bdfaeac7f 100644
--- a/libavfilter/allfilters.c
+++ b/libavfilter/allfilters.c
@@ -82,6 +82,7 @@ void avfilter_register_all(void)
REGISTER_FILTER(GRADFUN, gradfun, vf);
REGISTER_FILTER(HFLIP, hflip, vf);
REGISTER_FILTER(HQDN3D, hqdn3d, vf);
+ REGISTER_FILTER(HWUPLOAD_CUDA, hwupload_cuda, vf);
REGISTER_FILTER(INTERLACE, interlace, vf);
REGISTER_FILTER(LUT, lut, vf);
REGISTER_FILTER(LUTRGB, lutrgb, vf);
diff --git a/libavfilter/vf_hwupload_cuda.c b/libavfilter/vf_hwupload_cuda.c
new file mode 100644
index 0000000000..dfb35066f6
--- /dev/null
+++ b/libavfilter/vf_hwupload_cuda.c
@@ -0,0 +1,237 @@
+/*
+ * This file is part of Libav.
+ *
+ * Libav 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.
+ *
+ * Libav 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 Libav; if not, write to the Free Software
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
+ */
+
+#include "libavutil/buffer.h"
+#include "libavutil/hwcontext.h"
+#include "libavutil/hwcontext_cuda.h"
+#include "libavutil/log.h"
+#include "libavutil/opt.h"
+
+#include "avfilter.h"
+#include "formats.h"
+#include "internal.h"
+#include "video.h"
+
+typedef struct CudaUploadContext {
+ const AVClass *class;
+ int device_idx;
+
+ AVBufferRef *hwdevice;
+ AVBufferRef *hwframe;
+} CudaUploadContext;
+
+static void cudaupload_ctx_free(AVHWDeviceContext *ctx)
+{
+ AVCUDADeviceContext *hwctx = ctx->hwctx;
+ cuCtxDestroy(hwctx->cuda_ctx);
+}
+
+static av_cold int cudaupload_init(AVFilterContext *ctx)
+{
+ CudaUploadContext *s = ctx->priv;
+
+ AVHWDeviceContext *device_ctx;
+ AVCUDADeviceContext *device_hwctx;
+ CUdevice device;
+ CUcontext cuda_ctx = NULL, dummy;
+ CUresult err;
+ int ret;
+
+ err = cuInit(0);
+ if (err != CUDA_SUCCESS) {
+ av_log(ctx, AV_LOG_ERROR, "Could not initialize the CUDA driver API\n");
+ return AVERROR_UNKNOWN;
+ }
+
+ err = cuDeviceGet(&device, s->device_idx);
+ if (err != CUDA_SUCCESS) {
+ av_log(ctx, AV_LOG_ERROR, "Could not get the device number %d\n", s->device_idx);
+ return AVERROR_UNKNOWN;
+ }
+
+ err = cuCtxCreate(&cuda_ctx, 0, device);
+ if (err != CUDA_SUCCESS) {
+ av_log(ctx, AV_LOG_ERROR, "Error creating a CUDA context\n");
+ return AVERROR_UNKNOWN;
+ }
+
+ cuCtxPopCurrent(&dummy);
+
+ s->hwdevice = av_hwdevice_ctx_alloc(AV_HWDEVICE_TYPE_CUDA);
+ if (!s->hwdevice) {
+ cuCtxDestroy(cuda_ctx);
+ return AVERROR(ENOMEM);
+ }
+
+ device_ctx = (AVHWDeviceContext*)s->hwdevice->data;
+ device_ctx->free = cudaupload_ctx_free;
+
+ device_hwctx = device_ctx->hwctx;
+ device_hwctx->cuda_ctx = cuda_ctx;
+
+ ret = av_hwdevice_ctx_init(s->hwdevice);
+ if (ret < 0)
+ return ret;
+
+ return 0;
+}
+
+static av_cold void cudaupload_uninit(AVFilterContext *ctx)
+{
+ CudaUploadContext *s = ctx->priv;
+
+ av_buffer_unref(&s->hwframe);
+ av_buffer_unref(&s->hwdevice);
+}
+
+static int cudaupload_query_formats(AVFilterContext *ctx)
+{
+ static const enum AVPixelFormat input_pix_fmts[] = {
+ AV_PIX_FMT_NV12, AV_PIX_FMT_YUV420P, AV_PIX_FMT_YUV444P,
+ AV_PIX_FMT_NONE,
+ };
+ static const enum AVPixelFormat output_pix_fmts[] = {
+ AV_PIX_FMT_CUDA, AV_PIX_FMT_NONE,
+ };
+ AVFilterFormats *in_fmts = ff_make_format_list(input_pix_fmts);
+ AVFilterFormats *out_fmts = ff_make_format_list(output_pix_fmts);
+
+ ff_formats_ref(in_fmts, &ctx->inputs[0]->out_formats);
+ ff_formats_ref(out_fmts, &ctx->outputs[0]->in_formats);
+
+ return 0;
+}
+
+static int cudaupload_config_output(AVFilterLink *outlink)
+{
+ AVFilterContext *ctx = outlink->src;
+ AVFilterLink *inlink = ctx->inputs[0];
+ CudaUploadContext *s = ctx->priv;
+
+ AVHWFramesContext *hwframe_ctx;
+ int ret;
+
+ av_buffer_unref(&s->hwframe);
+ s->hwframe = av_hwframe_ctx_alloc(s->hwdevice);
+ if (!s->hwframe)
+ return AVERROR(ENOMEM);
+
+ hwframe_ctx = (AVHWFramesContext*)s->hwframe->data;
+ hwframe_ctx->format = AV_PIX_FMT_CUDA;
+ hwframe_ctx->sw_format = inlink->format;
+ hwframe_ctx->width = FFALIGN(inlink->w, 16);
+ hwframe_ctx->height = FFALIGN(inlink->h, 16);
+
+ ret = av_hwframe_ctx_init(s->hwframe);
+ if (ret < 0)
+ return ret;
+
+ outlink->hw_frames_ctx = av_buffer_ref(s->hwframe);
+ if (!outlink->hw_frames_ctx)
+ return AVERROR(ENOMEM);
+
+ return 0;
+}
+
+static int cudaupload_filter_frame(AVFilterLink *link, AVFrame *in)
+{
+ AVFilterContext *ctx = link->dst;
+ CudaUploadContext *s = ctx->priv;
+
+ AVFrame *out = NULL;
+ int ret;
+
+ out = av_frame_alloc();
+ if (!out) {
+ ret = AVERROR(ENOMEM);
+ goto fail;
+ }
+
+ ret = av_hwframe_get_buffer(s->hwframe, out, 0);
+ if (ret < 0)
+ goto fail;
+
+ out->width = in->width;
+ out->height = in->height;
+
+ ret = av_hwframe_transfer_data(out, in, 0);
+ if (ret < 0) {
+ av_log(ctx, AV_LOG_ERROR, "Error transferring data to the GPU\n");
+ goto fail;
+ }
+
+ ret = av_frame_copy_props(out, in);
+ if (ret < 0)
+ goto fail;
+
+ av_frame_free(&in);
+
+ return ff_filter_frame(ctx->outputs[0], out);
+fail:
+ av_frame_free(&in);
+ av_frame_free(&out);
+ return ret;
+}
+
+#define OFFSET(x) offsetof(CudaUploadContext, x)
+#define FLAGS AV_OPT_FLAG_VIDEO_PARAM
+static const AVOption options[] = {
+ { "device", "Number of the device to use", OFFSET(device_idx), AV_OPT_TYPE_INT, { .i64 = 0 }, .flags = FLAGS },
+ { NULL },
+};
+
+static const AVClass cudaupload_class = {
+ .class_name = "cudaupload",
+ .item_name = av_default_item_name,
+ .option = options,
+ .version = LIBAVUTIL_VERSION_INT,
+};
+
+static const AVFilterPad cudaupload_inputs[] = {
+ {
+ .name = "default",
+ .type = AVMEDIA_TYPE_VIDEO,
+ .filter_frame = cudaupload_filter_frame,
+ },
+ { NULL }
+};
+
+static const AVFilterPad cudaupload_outputs[] = {
+ {
+ .name = "default",
+ .type = AVMEDIA_TYPE_VIDEO,
+ .config_props = cudaupload_config_output,
+ },
+ { NULL }
+};
+
+AVFilter ff_vf_hwupload_cuda = {
+ .name = "hwupload_cuda",
+ .description = NULL_IF_CONFIG_SMALL("Upload a system memory frame to a CUDA device"),
+
+ .init = cudaupload_init,
+ .uninit = cudaupload_uninit,
+
+ .query_formats = cudaupload_query_formats,
+
+ .priv_size = sizeof(CudaUploadContext),
+ .priv_class = &cudaupload_class,
+
+ .inputs = cudaupload_inputs,
+ .outputs = cudaupload_outputs,
+};