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authorMohamed Khaled Mohamed <mohamed.elbassiony00@eng-st.cu.edu.eg>2022-08-30 21:13:27 +0200
committerTimo Rothenpieler <timo@rothenpieler.org>2022-09-03 15:18:56 +0200
commit1a5cd79f518268203c4fff7c664b387e5720f1f4 (patch)
tree2f86284986019a58906caec963a442c8bc7b2cc2
parentd1513e7f9c473dc45c4a1e060a187c32f10c4a2f (diff)
downloadffmpeg-1a5cd79f518268203c4fff7c664b387e5720f1f4.tar.gz
avfilter: add bilateral_cuda filter
GSoC 2022 Signed-off-by: Mohamed Khaled <mohamed.elbassiony00@eng-st.cu.edu.eg> Signed-off-by: Timo Rothenpieler <timo@rothenpieler.org>
-rw-r--r--Changelog1
-rw-r--r--compat/cuda/cuda_runtime.h1
-rwxr-xr-xconfigure2
-rw-r--r--doc/filters.texi39
-rw-r--r--libavfilter/Makefile1
-rw-r--r--libavfilter/allfilters.c1
-rw-r--r--libavfilter/version.h2
-rw-r--r--libavfilter/vf_bilateral_cuda.c479
-rw-r--r--libavfilter/vf_bilateral_cuda.cu191
9 files changed, 716 insertions, 1 deletions
diff --git a/Changelog b/Changelog
index c98f18f97a..70c12df8dc 100644
--- a/Changelog
+++ b/Changelog
@@ -37,6 +37,7 @@ version 5.1:
- PHM image format support
- remap_opencl filter
- added chromakey_cuda filter
+- added bilateral_cuda filter
version 5.0:
diff --git a/compat/cuda/cuda_runtime.h b/compat/cuda/cuda_runtime.h
index 5837c1ad37..082e4a8ba3 100644
--- a/compat/cuda/cuda_runtime.h
+++ b/compat/cuda/cuda_runtime.h
@@ -182,6 +182,7 @@ static inline __device__ float fabsf(float a) { return __builtin_fabsf(a); }
static inline __device__ float fabs(float a) { return __builtin_fabsf(a); }
static inline __device__ double fabs(double a) { return __builtin_fabs(a); }
static inline __device__ float sqrtf(float a) { return __builtin_sqrtf(a); }
+static inline __device__ float powf(float a, float y) { return __builtin_powf(a,y); }
static inline __device__ float __saturatef(float a) { return __nvvm_saturate_f(a); }
static inline __device__ float __sinf(float a) { return __nvvm_sin_approx_f(a); }
diff --git a/configure b/configure
index 932ea5b553..b9e1e403b1 100755
--- a/configure
+++ b/configure
@@ -3151,6 +3151,8 @@ v4l2_m2m_deps="linux_videodev2_h sem_timedwait"
chromakey_cuda_filter_deps="ffnvcodec"
chromakey_cuda_filter_deps_any="cuda_nvcc cuda_llvm"
+bilateral_cuda_filter_deps="ffnvcodec"
+bilateral_cuda_filter_deps_any="cuda_nvcc cuda_llvm"
hwupload_cuda_filter_deps="ffnvcodec"
scale_npp_filter_deps="ffnvcodec libnpp"
scale2ref_npp_filter_deps="ffnvcodec libnpp"
diff --git a/doc/filters.texi b/doc/filters.texi
index 1e7e98c350..dbc08163d8 100644
--- a/doc/filters.texi
+++ b/doc/filters.texi
@@ -7980,6 +7980,45 @@ Set planes to filter. Default is first only.
This filter supports the all above options as @ref{commands}.
+@section bilateral_cuda
+CUDA accelerated bilateral filter, an edge preserving filter.
+This filter is mathematically accurate thanks to the use of GPU acceleration.
+For best output quality, use one to one chroma subsampling, i.e. yuv444p format.
+
+The filter accepts the following options:
+@table @option
+@item sigmaS
+Set sigma of gaussian function to calculate spatial weight, also called sigma space.
+Allowed range is 0.1 to 512. Default is 0.1.
+
+@item sigmaR
+Set sigma of gaussian function to calculate color range weight, also called sigma color.
+Allowed range is 0.1 to 512. Default is 0.1.
+
+@item window_size
+Set window size of the bilateral function to determine the number of neighbours to loop on.
+If the number entered is even, one will be added automatically.
+Allowed range is 1 to 255. Default is 1.
+@end table
+@subsection Examples
+
+@itemize
+@item
+Apply the bilateral filter on a video.
+
+@example
+./ffmpeg -v verbose \
+-hwaccel cuda -hwaccel_output_format cuda -i input.mp4 \
+-init_hw_device cuda \
+-filter_complex \
+" \
+[0:v]scale_cuda=format=yuv444p[scaled_video];
+[scaled_video]bilateral_cuda=window_size=9:sigmaS=3.0:sigmaR=50.0" \
+-an -sn -c:v h264_nvenc -cq 20 out.mp4
+@end example
+
+@end itemize
+
@section bitplanenoise
Show and measure bit plane noise.
diff --git a/libavfilter/Makefile b/libavfilter/Makefile
index c5c44db440..841ec47141 100644
--- a/libavfilter/Makefile
+++ b/libavfilter/Makefile
@@ -194,6 +194,7 @@ OBJS-$(CONFIG_AVGBLUR_VULKAN_FILTER) += vf_avgblur_vulkan.o vulkan.o vul
OBJS-$(CONFIG_BBOX_FILTER) += bbox.o vf_bbox.o
OBJS-$(CONFIG_BENCH_FILTER) += f_bench.o
OBJS-$(CONFIG_BILATERAL_FILTER) += vf_bilateral.o
+OBJS-$(CONFIG_BILATERAL_CUDA_FILTER) += vf_bilateral_cuda.o vf_bilateral_cuda.ptx.o
OBJS-$(CONFIG_BITPLANENOISE_FILTER) += vf_bitplanenoise.o
OBJS-$(CONFIG_BLACKDETECT_FILTER) += vf_blackdetect.o
OBJS-$(CONFIG_BLACKFRAME_FILTER) += vf_blackframe.o
diff --git a/libavfilter/allfilters.c b/libavfilter/allfilters.c
index 0285889e70..79e8a16bbc 100644
--- a/libavfilter/allfilters.c
+++ b/libavfilter/allfilters.c
@@ -180,6 +180,7 @@ extern const AVFilter ff_vf_avgblur_vulkan;
extern const AVFilter ff_vf_bbox;
extern const AVFilter ff_vf_bench;
extern const AVFilter ff_vf_bilateral;
+extern const AVFilter ff_vf_bilateral_cuda;
extern const AVFilter ff_vf_bitplanenoise;
extern const AVFilter ff_vf_blackdetect;
extern const AVFilter ff_vf_blackframe;
diff --git a/libavfilter/version.h b/libavfilter/version.h
index fb21fad979..fc0df70dee 100644
--- a/libavfilter/version.h
+++ b/libavfilter/version.h
@@ -31,7 +31,7 @@
#include "version_major.h"
-#define LIBAVFILTER_VERSION_MINOR 47
+#define LIBAVFILTER_VERSION_MINOR 48
#define LIBAVFILTER_VERSION_MICRO 100
diff --git a/libavfilter/vf_bilateral_cuda.c b/libavfilter/vf_bilateral_cuda.c
new file mode 100644
index 0000000000..7a271f1ce0
--- /dev/null
+++ b/libavfilter/vf_bilateral_cuda.c
@@ -0,0 +1,479 @@
+/*
+ * Copyright (c) 2022 Mohamed Khaled <Mohamed_Khaled_Kamal@outlook.com>
+ *
+ * This file is part of FFmpeg.
+ *
+ * FFmpeg 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.
+ *
+ * FFmpeg 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 FFmpeg; if not, write to the Free Software
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
+ */
+
+#include <float.h>
+#include <stdio.h>
+#include <string.h>
+
+#include "libavutil/avstring.h"
+#include "libavutil/common.h"
+#include "libavutil/hwcontext.h"
+#include "libavutil/hwcontext_cuda_internal.h"
+#include "libavutil/cuda_check.h"
+#include "libavutil/internal.h"
+#include "libavutil/opt.h"
+#include "libavutil/pixdesc.h"
+
+#include "avfilter.h"
+#include "formats.h"
+#include "internal.h"
+#include "video.h"
+
+#include "cuda/load_helper.h"
+
+static const enum AVPixelFormat supported_formats[] = {
+ AV_PIX_FMT_YUV420P,
+ AV_PIX_FMT_NV12,
+ AV_PIX_FMT_YUV444P
+};
+
+#define DIV_UP(a, b) ( ((a) + (b) - 1) / (b) )
+#define BLOCKX 32
+#define BLOCKY 16
+
+#define CHECK_CU(x) FF_CUDA_CHECK_DL(ctx, s->hwctx->internal->cuda_dl, x)
+
+
+typedef struct CUDABilateralContext {
+ const AVClass *class;
+ AVCUDADeviceContext *hwctx;
+
+ enum AVPixelFormat in_fmt, out_fmt;
+ const AVPixFmtDescriptor *in_desc, *out_desc;
+ int in_planes, out_planes;
+ int in_plane_depths[4];
+ int in_plane_channels[4];
+
+ int window_size;
+ float sigmaS;
+ float sigmaR;
+
+ AVBufferRef *frames_ctx;
+ AVFrame *frame;
+ AVFrame *tmp_frame;
+
+ CUcontext cu_ctx;
+ CUmodule cu_module;
+ CUfunction cu_func;
+ CUfunction cu_func_uv;
+ CUstream cu_stream;
+} CUDABilateralContext;
+
+static av_cold int cudabilateral_init(AVFilterContext *ctx)
+{
+ CUDABilateralContext *s = ctx->priv;
+
+ s->frame = av_frame_alloc();
+ if (!s->frame)
+ return AVERROR(ENOMEM);
+
+ s->tmp_frame = av_frame_alloc();
+ if (!s->tmp_frame)
+ return AVERROR(ENOMEM);
+
+ return 0;
+}
+
+static av_cold void cudabilateral_uninit(AVFilterContext *ctx)
+{
+ CUDABilateralContext *s = ctx->priv;
+
+ if (s->hwctx && s->cu_module) {
+ CudaFunctions *cu = s->hwctx->internal->cuda_dl;
+ CUcontext bilateral;
+
+ CHECK_CU(cu->cuCtxPushCurrent(s->hwctx->cuda_ctx));
+ CHECK_CU(cu->cuModuleUnload(s->cu_module));
+ s->cu_module = NULL;
+ CHECK_CU(cu->cuCtxPopCurrent(&bilateral));
+ }
+
+ av_frame_free(&s->frame);
+ av_buffer_unref(&s->frames_ctx);
+ av_frame_free(&s->tmp_frame);
+}
+
+static av_cold int init_hwframe_ctx(CUDABilateralContext *s, AVBufferRef *device_ctx, int width, int height)
+{
+ AVBufferRef *out_ref = NULL;
+ AVHWFramesContext *out_ctx;
+ int ret;
+
+ out_ref = av_hwframe_ctx_alloc(device_ctx);
+ if (!out_ref)
+ return AVERROR(ENOMEM);
+ out_ctx = (AVHWFramesContext*)out_ref->data;
+
+ out_ctx->format = AV_PIX_FMT_CUDA;
+ out_ctx->sw_format = s->out_fmt;
+ out_ctx->width = width;
+ out_ctx->height = height;
+
+ ret = av_hwframe_ctx_init(out_ref);
+ if (ret < 0)
+ goto fail;
+
+ av_frame_unref(s->frame);
+ ret = av_hwframe_get_buffer(out_ref, s->frame, 0);
+ if (ret < 0)
+ goto fail;
+
+ av_buffer_unref(&s->frames_ctx);
+ s->frames_ctx = out_ref;
+
+ return 0;
+fail:
+ av_buffer_unref(&out_ref);
+ return ret;
+}
+
+static int format_is_supported(enum AVPixelFormat fmt)
+{
+ int i;
+
+ for (i = 0; i < FF_ARRAY_ELEMS(supported_formats); i++)
+ if (supported_formats[i] == fmt)
+ return 1;
+ return 0;
+}
+
+static av_cold void set_format_info(AVFilterContext *ctx, enum AVPixelFormat in_format, enum AVPixelFormat out_format)
+{
+ CUDABilateralContext *s = ctx->priv;
+ int i, p, d;
+
+ s->in_fmt = in_format;
+ s->out_fmt = out_format;
+
+ s->in_desc = av_pix_fmt_desc_get(s->in_fmt);
+ s->out_desc = av_pix_fmt_desc_get(s->out_fmt);
+ s->in_planes = av_pix_fmt_count_planes(s->in_fmt);
+ s->out_planes = av_pix_fmt_count_planes(s->out_fmt);
+
+ // find maximum step of each component of each plane
+ // For our subset of formats, this should accurately tell us how many channels CUDA needs
+ // i.e. 1 for Y plane, 2 for UV plane of NV12, 4 for single plane of RGB0 formats
+
+ for (i = 0; i < s->in_desc->nb_components; i++) {
+ d = (s->in_desc->comp[i].depth + 7) / 8;
+ p = s->in_desc->comp[i].plane;
+ s->in_plane_channels[p] = FFMAX(s->in_plane_channels[p], s->in_desc->comp[i].step / d);
+
+ s->in_plane_depths[p] = s->in_desc->comp[i].depth;
+ }
+}
+
+static av_cold int init_processing_chain(AVFilterContext *ctx, int width, int height)
+{
+ CUDABilateralContext *s = ctx->priv;
+ AVHWFramesContext *in_frames_ctx;
+ int ret;
+
+ /* check that we have a hw context */
+ if (!ctx->inputs[0]->hw_frames_ctx) {
+ av_log(ctx, AV_LOG_ERROR, "No hw context provided on input\n");
+ return AVERROR(EINVAL);
+ }
+ in_frames_ctx = (AVHWFramesContext*)ctx->inputs[0]->hw_frames_ctx->data;
+
+ if (!format_is_supported(in_frames_ctx->sw_format)) {
+ av_log(ctx, AV_LOG_ERROR, "Unsupported format: %s\n", av_get_pix_fmt_name(in_frames_ctx->sw_format));
+ return AVERROR(ENOSYS);
+ }
+
+ set_format_info(ctx, in_frames_ctx->sw_format, in_frames_ctx->sw_format);
+
+ ret = init_hwframe_ctx(s, in_frames_ctx->device_ref, width, height);
+ if (ret < 0)
+ return ret;
+
+ ctx->outputs[0]->hw_frames_ctx = av_buffer_ref(s->frames_ctx);
+ if (!ctx->outputs[0]->hw_frames_ctx)
+ return AVERROR(ENOMEM);
+
+ return 0;
+}
+
+static av_cold int cuda_bilateral_load_functions(AVFilterContext *ctx)
+{
+ CUDABilateralContext *s = ctx->priv;
+ CUcontext bilateral, cuda_ctx = s->hwctx->cuda_ctx;
+ CudaFunctions *cu = s->hwctx->internal->cuda_dl;
+ int ret;
+
+ extern const unsigned char ff_vf_bilateral_cuda_ptx_data[];
+ extern const unsigned int ff_vf_bilateral_cuda_ptx_len;
+
+ ret = CHECK_CU(cu->cuCtxPushCurrent(cuda_ctx));
+ if (ret < 0)
+ return ret;
+
+ ret = ff_cuda_load_module(ctx, s->hwctx, &s->cu_module,
+ ff_vf_bilateral_cuda_ptx_data, ff_vf_bilateral_cuda_ptx_len);
+ if (ret < 0)
+ goto fail;
+
+ ret = CHECK_CU(cu->cuModuleGetFunction(&s->cu_func, s->cu_module, "Process_uchar"));
+ if (ret < 0) {
+ av_log(ctx, AV_LOG_FATAL, "Failed loading Process_uchar\n");
+ goto fail;
+ }
+
+ ret = CHECK_CU(cu->cuModuleGetFunction(&s->cu_func_uv, s->cu_module, "Process_uchar2"));
+ if (ret < 0) {
+ av_log(ctx, AV_LOG_FATAL, "Failed loading Process_uchar2\n");
+ goto fail;
+ }
+
+fail:
+ CHECK_CU(cu->cuCtxPopCurrent(&bilateral));
+
+ return ret;
+}
+
+static av_cold int cuda_bilateral_config_props(AVFilterLink *outlink)
+{
+ AVFilterContext *ctx = outlink->src;
+ AVFilterLink *inlink = outlink->src->inputs[0];
+ CUDABilateralContext *s = ctx->priv;
+ AVHWFramesContext *frames_ctx = (AVHWFramesContext*)inlink->hw_frames_ctx->data;
+ AVCUDADeviceContext *device_hwctx = frames_ctx->device_ctx->hwctx;
+ int ret;
+
+ s->hwctx = device_hwctx;
+ s->cu_stream = s->hwctx->stream;
+
+ ret = init_processing_chain(ctx, inlink->w, inlink->h);
+ if (ret < 0)
+ return ret;
+
+ outlink->sample_aspect_ratio = inlink->sample_aspect_ratio;
+
+ // the window_size makes more sense when it is odd, so add 1 if even
+ s->window_size= (s->window_size%2) ? s->window_size : s->window_size+1;
+
+ ret = cuda_bilateral_load_functions(ctx);
+ if (ret < 0)
+ return ret;
+
+ return 0;
+}
+
+static int call_cuda_kernel(AVFilterContext *ctx, CUfunction func,
+ CUtexObject src_tex[3], AVFrame *out_frame,
+ int width, int height, int pitch,
+ int width_uv, int height_uv, int pitch_uv,
+ int window_size, float sigmaS, float sigmaR)
+{
+ CUDABilateralContext *s = ctx->priv;
+ CudaFunctions *cu = s->hwctx->internal->cuda_dl;
+ int ret;
+
+ CUdeviceptr dst_devptr[3] = {
+ (CUdeviceptr)out_frame->data[0], (CUdeviceptr)out_frame->data[1], (CUdeviceptr)out_frame->data[2]
+ };
+
+ void *args_uchar[] = {
+ &src_tex[0], &src_tex[1], &src_tex[2],
+ &dst_devptr[0], &dst_devptr[1], &dst_devptr[2],
+ &width, &height, &pitch,
+ &width_uv, &height_uv, &pitch_uv,
+ &window_size, &sigmaS, &sigmaR
+ };
+
+ ret = CHECK_CU(cu->cuLaunchKernel(func,
+ DIV_UP(width, BLOCKX), DIV_UP(height, BLOCKY), 1,
+ BLOCKX, BLOCKY, 1, 0, s->cu_stream, args_uchar, NULL));
+ if (ret < 0)
+ return ret;
+
+ return ret;
+}
+
+static int cuda_bilateral_process_internal(AVFilterContext *ctx,
+ AVFrame *out, AVFrame *in)
+{
+ CUDABilateralContext *s = ctx->priv;
+ CudaFunctions *cu = s->hwctx->internal->cuda_dl;
+ CUcontext bilateral, cuda_ctx = s->hwctx->cuda_ctx;
+ int i, ret;
+
+ CUtexObject tex[3] = { 0, 0, 0 };
+
+ ret = CHECK_CU(cu->cuCtxPushCurrent(cuda_ctx));
+ if (ret < 0)
+ return ret;
+
+ for (i = 0; i < s->in_planes; i++) {
+ CUDA_TEXTURE_DESC tex_desc = {
+ .filterMode = CU_TR_FILTER_MODE_LINEAR,
+ .flags = 0, // CU_TRSF_READ_AS_INTEGER to get raw ints instead of normalized floats from tex2D
+ };
+
+ CUDA_RESOURCE_DESC res_desc = {
+ .resType = CU_RESOURCE_TYPE_PITCH2D,
+ .res.pitch2D.format = CU_AD_FORMAT_UNSIGNED_INT8,
+ .res.pitch2D.numChannels = s->in_plane_channels[i],
+ .res.pitch2D.pitchInBytes = in->linesize[i],
+ .res.pitch2D.devPtr = (CUdeviceptr)in->data[i],
+ };
+
+ if (i == 1 || i == 2) {
+ res_desc.res.pitch2D.width = AV_CEIL_RSHIFT(in->width, s->in_desc->log2_chroma_w);
+ res_desc.res.pitch2D.height = AV_CEIL_RSHIFT(in->height, s->in_desc->log2_chroma_h);
+ } else {
+ res_desc.res.pitch2D.width = in->width;
+ res_desc.res.pitch2D.height = in->height;
+ }
+
+ ret = CHECK_CU(cu->cuTexObjectCreate(&tex[i], &res_desc, &tex_desc, NULL));
+ if (ret < 0)
+ goto exit;
+ }
+
+ ret = call_cuda_kernel(ctx, (s->in_plane_channels[1] > 1) ? s->cu_func_uv : s->cu_func,
+ tex, out,
+ out->width, out->height, out->linesize[0],
+ AV_CEIL_RSHIFT(out->width, s->out_desc->log2_chroma_w),
+ AV_CEIL_RSHIFT(out->height, s->out_desc->log2_chroma_h),
+ out->linesize[1] >> ((s->in_plane_channels[1] > 1) ? 1 : 0),
+ s->window_size, s->sigmaS, s->sigmaR);
+ if (ret < 0)
+ goto exit;
+
+exit:
+ for (i = 0; i < s->in_planes; i++)
+ if (tex[i])
+ CHECK_CU(cu->cuTexObjectDestroy(tex[i]));
+
+ CHECK_CU(cu->cuCtxPopCurrent(&bilateral));
+
+ return ret;
+}
+
+static int cuda_bilateral_process(AVFilterContext *ctx, AVFrame *out, AVFrame *in)
+{
+ CUDABilateralContext *s = ctx->priv;
+ AVFrame *src = in;
+ int ret;
+
+ ret = cuda_bilateral_process_internal(ctx, s->frame, src);
+ if (ret < 0)
+ return ret;
+
+ src = s->frame;
+ ret = av_hwframe_get_buffer(src->hw_frames_ctx, s->tmp_frame, 0);
+ if (ret < 0)
+ return ret;
+
+ av_frame_move_ref(out, s->frame);
+ av_frame_move_ref(s->frame, s->tmp_frame);
+
+ ret = av_frame_copy_props(out, in);
+ if (ret < 0)
+ return ret;
+
+ return 0;
+}
+
+static int cuda_bilateral_filter_frame(AVFilterLink *link, AVFrame *in)
+{
+ AVFilterContext *ctx = link->dst;
+ CUDABilateralContext *s = ctx->priv;
+ AVFilterLink *outlink = ctx->outputs[0];
+ CudaFunctions *cu = s->hwctx->internal->cuda_dl;
+
+ AVFrame *out = NULL;
+ CUcontext bilateral;
+ int ret = 0;
+
+ out = av_frame_alloc();
+ if (!out) {
+ ret = AVERROR(ENOMEM);
+ goto fail;
+ }
+
+ ret = CHECK_CU(cu->cuCtxPushCurrent(s->hwctx->cuda_ctx));
+ if (ret < 0)
+ goto fail;
+
+ ret = cuda_bilateral_process(ctx, out, in);
+
+ CHECK_CU(cu->cuCtxPopCurrent(&bilateral));
+ if (ret < 0)
+ goto fail;
+
+ av_frame_free(&in);
+ return ff_filter_frame(outlink, out);
+fail:
+ av_frame_free(&in);
+ av_frame_free(&out);
+ return ret;
+}
+
+#define OFFSET(x) offsetof(CUDABilateralContext, x)
+#define FLAGS (AV_OPT_FLAG_FILTERING_PARAM|AV_OPT_FLAG_VIDEO_PARAM)
+static const AVOption options[] = {
+ { "sigmaS", "set spatial sigma", OFFSET(sigmaS), AV_OPT_TYPE_FLOAT, {.dbl=0.1}, 0.1, 512, FLAGS },
+ { "sigmaR", "set range sigma", OFFSET(sigmaR), AV_OPT_TYPE_FLOAT, {.dbl=0.1}, 0.1, 512, FLAGS },
+ { "window_size", "set neighbours window_size", OFFSET(window_size), AV_OPT_TYPE_INT, {.i64=1}, 1, 255, FLAGS },
+ { NULL }
+};
+
+static const AVClass cuda_bilateral_class = {
+ .class_name = "cudabilateral",
+ .item_name = av_default_item_name,
+ .option = options,
+ .version = LIBAVUTIL_VERSION_INT,
+};
+
+static const AVFilterPad cuda_bilateral_inputs[] = {
+ {
+ .name = "default",
+ .type = AVMEDIA_TYPE_VIDEO,
+ .filter_frame = cuda_bilateral_filter_frame,
+ },
+};
+
+static const AVFilterPad cuda_bilateral_outputs[] = {
+ {
+ .name = "default",
+ .type = AVMEDIA_TYPE_VIDEO,
+ .config_props = cuda_bilateral_config_props,
+ },
+};
+
+const AVFilter ff_vf_bilateral_cuda = {
+ .name = "bilateral_cuda",
+ .description = NULL_IF_CONFIG_SMALL("GPU accelerated bilateral filter"),
+
+ .init = cudabilateral_init,
+ .uninit = cudabilateral_uninit,
+
+ .priv_size = sizeof(CUDABilateralContext),
+ .priv_class = &cuda_bilateral_class,
+
+ FILTER_INPUTS(cuda_bilateral_inputs),
+ FILTER_OUTPUTS(cuda_bilateral_outputs),
+
+ FILTER_SINGLE_PIXFMT(AV_PIX_FMT_CUDA),
+
+ .flags_internal = FF_FILTER_FLAG_HWFRAME_AWARE,
+};
diff --git a/libavfilter/vf_bilateral_cuda.cu b/libavfilter/vf_bilateral_cuda.cu
new file mode 100644
index 0000000000..8aba3a079f
--- /dev/null
+++ b/libavfilter/vf_bilateral_cuda.cu
@@ -0,0 +1,191 @@
+/*
+ * Copyright (c) 2022 Mohamed Khaled <Mohamed_Khaled_Kamal@outlook.com>
+ *
+ * This file is part of FFmpeg.
+ *
+ * FFmpeg 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.
+ *
+ * FFmpeg 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 FFmpeg; if not, write to the Free Software
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
+ */
+
+#include "cuda/vector_helpers.cuh"
+
+extern "C"
+{
+
+/**
+ * @brief calculated squared norm difference between two 3-dimension vecors ||first_vector-second_vector||^2
+ * used float4 for better performance
+ *
+ * @param first_yuv first color vector
+ * @param second_yuv second color vecotr
+ * @return answer of squared norm difference
+ */
+__device__ static inline float norm_squared(float4 first_yuv, float4 second_yuv)
+{
+ float ans = 0;
+ ans += powf(first_yuv.x - second_yuv.x, 2);
+ ans += powf(first_yuv.y - second_yuv.y, 2);
+ ans += powf(first_yuv.z - second_yuv.z, 2);
+ return ans;
+}
+
+/**
+ * @brief calculate w as stated in bilateral filter research paper
+ *
+ * @param first_yuv first color vector
+ * @param second_yuv second color vecotr
+ * @return the calculated w
+ */
+__device__ static inline float calculate_w(int x, int y, int r, int c,
+ float4 pixel_value, float4 neighbor_value,
+ float sigma_space, float sigma_color)
+{
+ float first_term, second_term;
+ first_term = (powf(x - r, 2) + powf(y - c, 2)) / (2 * sigma_space * sigma_space);
+ second_term = norm_squared(pixel_value, neighbor_value) / (2 * sigma_color * sigma_color);
+ return __expf(-first_term - second_term);
+}
+
+/**
+ * @brief apply the bilateral filter on the pixel sent
+ *
+ * @param src_tex_Y Y channel of source image
+ * @param src_tex U channel of source image if yuv, or UV channels if format is nv12
+ * @param src_tex_V V channel of source image
+ * @param dst_Y Y channel of destination image
+ * @param dst_U U channel of destination image if format is in yuv
+ * @param dst_V V channel of destination image if format is in yuv
+ * @param dst_UV UV channels of destination image if format is in nv12
+ * @param width width of Y channel
+ * @param height height of Y channel
+ * @param width_uv width of UV channels
+ * @param height_uv height of UV channels
+ * @param pitch pitch of Y channel
+ * @param pitch_uv pitch of UV channels
+ * @param x x coordinate of pixel to be filtered
+ * @param y y coordinate of pixel to be filtered
+ * @param sigma_space sigma space parameter
+ * @param sigma_color sigma color parameter
+ * @param window_size window size parameter
+ * @return void
+ */
+__device__ static inline void apply_biltaeral(
+ cudaTextureObject_t src_tex_Y, cudaTextureObject_t src_tex, cudaTextureObject_t src_tex_V,
+ uchar *dst_Y, uchar *dst_U, uchar *dst_V, uchar2 *dst_UV,
+ int width, int height, int width_uv, int height_uv, int pitch, int pitch_uv,
+ int x, int y,
+ float sigma_space, float sigma_color, int window_size)
+{
+ int start_r = x - window_size / 2;
+ int start_c = y - window_size / 2;
+ float4 neighbor_pixel = make_float4(0.f, 0.f, 0.f, 0.f);
+ float Wp = 0.f;
+ float4 new_pixel_value = make_float4(0.f, 0.f, 0.f, 0.f);
+ float w = 0.f;
+
+ int channel_ratio = width / width_uv; // ratio between Y channel and UV channels
+ float4 currrent_pixel;
+
+ if (!src_tex_V) { // format is in nv12
+ float2 temp_uv = tex2D<float2>(src_tex, x/channel_ratio, y/channel_ratio) * 255.f;
+ currrent_pixel.x = tex2D<float>(src_tex_Y, x, y) * 255.f;
+ currrent_pixel.y = temp_uv.x;
+ currrent_pixel.z = temp_uv.y;
+ currrent_pixel.w = 0.f;
+ } else { // format is fully planar
+ currrent_pixel = make_float4(tex2D<float>(src_tex_Y, x, y) * 255.f,
+ tex2D<float>(src_tex, x/channel_ratio, y/channel_ratio) * 255.f,
+ tex2D<float>(src_tex_V, x/channel_ratio, y/channel_ratio) * 255.f,
+ 0.f);
+ }
+
+ for (int i=0; i < window_size; i++)
+ {
+ for (int j=0; j < window_size; j++)
+ {
+ int r=start_r+i;
+ int c=start_c+j;
+ bool in_bounds=r>=0 && r<width && c>=0 && c<height;
+ if (in_bounds)
+ {
+ if (!src_tex_V){
+ float2 temp_uv = tex2D<float2>(src_tex, r/channel_ratio, c/channel_ratio);
+ neighbor_pixel=make_float4(tex2D<float>(src_tex_Y, r, c) * 255.f,
+ temp_uv.x * 255.f,
+ temp_uv.y * 255.f, 0.f);
+ } else {
+ neighbor_pixel=make_float4(tex2D<float>(src_tex_Y, r, c) * 255.f,
+ tex2D<float>(src_tex, r/channel_ratio, c/channel_ratio) * 255.f,
+ tex2D<float>(src_tex_V, r/channel_ratio, c/channel_ratio) * 255.f, 0.f);
+ }
+ w=calculate_w(x,y,r,c,currrent_pixel,neighbor_pixel,sigma_space,sigma_color);
+ Wp+=w;
+ new_pixel_value+= neighbor_pixel*w;
+ }
+ }
+ }
+
+ new_pixel_value = new_pixel_value / Wp;
+ dst_Y[y*pitch + x] = new_pixel_value.x;
+
+ if (!src_tex_V) {
+ dst_UV[(y/channel_ratio) * pitch_uv + (x/channel_ratio)] = make_uchar2(new_pixel_value.y, new_pixel_value.z);
+ } else {
+ dst_U[(y/channel_ratio) * pitch_uv + (x/channel_ratio)] = new_pixel_value.y;
+ dst_V[(y/channel_ratio) * pitch_uv + (x/channel_ratio)] = new_pixel_value.z;
+ }
+
+ return;
+}
+
+
+__global__ void Process_uchar(cudaTextureObject_t src_tex_Y, cudaTextureObject_t src_tex_U, cudaTextureObject_t src_tex_V,
+ uchar *dst_Y, uchar *dst_U, uchar *dst_V,
+ int width, int height, int pitch,
+ int width_uv, int height_uv, int pitch_uv,
+ int window_size, float sigmaS, float sigmaR)
+{
+
+ int x = blockIdx.x * blockDim.x + threadIdx.x;
+ int y = blockIdx.y * blockDim.y + threadIdx.y;
+ if (y >= height || x >= width)
+ return;
+
+ apply_biltaeral(src_tex_Y, src_tex_U, src_tex_V,
+ dst_Y, dst_U, dst_V, (uchar2*)nullptr,
+ width, height, width_uv, height_uv, pitch, pitch_uv,
+ x, y,
+ sigmaS, sigmaR, window_size);
+}
+
+
+__global__ void Process_uchar2(cudaTextureObject_t src_tex_Y, cudaTextureObject_t src_tex_UV, cudaTextureObject_t unused1,
+ uchar *dst_Y, uchar2 *dst_UV, uchar *unused2,
+ int width, int height, int pitch,
+ int width_uv, int height_uv, int pitch_uv,
+ int window_size, float sigmaS, float sigmaR)
+{
+ int x = blockIdx.x * blockDim.x + threadIdx.x;
+ int y = blockIdx.y * blockDim.y + threadIdx.y;
+ if (y >= height || x >= width)
+ return;
+
+ apply_biltaeral(src_tex_Y, src_tex_UV, (cudaTextureObject_t)nullptr,
+ dst_Y, (uchar*)nullptr, (uchar*)nullptr, dst_UV,
+ width, height, width_uv, height_uv, pitch, pitch_uv,
+ x, y,
+ sigmaS, sigmaR, window_size);
+}
+
+}