mirror of https://git.videolan.org/git/ffmpeg.git
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>
This commit is contained in:
Mohamed Khaled Mohamed
Timo Rothenpieler
parent
d1513e7f9c
commit
1a5cd79f51
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@ -37,6 +37,7 @@ version 5.1:
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- PHM image format support
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- remap_opencl filter
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- added chromakey_cuda filter
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- added bilateral_cuda filter
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version 5.0:
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@ -182,6 +182,7 @@ static inline __device__ float fabsf(float a) { return __builtin_fabsf(a); }
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static inline __device__ float fabs(float a) { return __builtin_fabsf(a); }
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static inline __device__ double fabs(double a) { return __builtin_fabs(a); }
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static inline __device__ float sqrtf(float a) { return __builtin_sqrtf(a); }
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static inline __device__ float powf(float a, float y) { return __builtin_powf(a,y); }
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static inline __device__ float __saturatef(float a) { return __nvvm_saturate_f(a); }
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static inline __device__ float __sinf(float a) { return __nvvm_sin_approx_f(a); }
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@ -3151,6 +3151,8 @@ v4l2_m2m_deps="linux_videodev2_h sem_timedwait"
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chromakey_cuda_filter_deps="ffnvcodec"
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chromakey_cuda_filter_deps_any="cuda_nvcc cuda_llvm"
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bilateral_cuda_filter_deps="ffnvcodec"
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bilateral_cuda_filter_deps_any="cuda_nvcc cuda_llvm"
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hwupload_cuda_filter_deps="ffnvcodec"
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scale_npp_filter_deps="ffnvcodec libnpp"
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scale2ref_npp_filter_deps="ffnvcodec libnpp"
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@ -7980,6 +7980,45 @@ Set planes to filter. Default is first only.
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This filter supports the all above options as @ref{commands}.
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@section bilateral_cuda
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CUDA accelerated bilateral filter, an edge preserving filter.
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This filter is mathematically accurate thanks to the use of GPU acceleration.
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For best output quality, use one to one chroma subsampling, i.e. yuv444p format.
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The filter accepts the following options:
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@table @option
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@item sigmaS
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Set sigma of gaussian function to calculate spatial weight, also called sigma space.
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Allowed range is 0.1 to 512. Default is 0.1.
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@item sigmaR
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Set sigma of gaussian function to calculate color range weight, also called sigma color.
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Allowed range is 0.1 to 512. Default is 0.1.
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@item window_size
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Set window size of the bilateral function to determine the number of neighbours to loop on.
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If the number entered is even, one will be added automatically.
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Allowed range is 1 to 255. Default is 1.
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@end table
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@subsection Examples
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@itemize
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@item
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Apply the bilateral filter on a video.
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@example
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./ffmpeg -v verbose \
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-hwaccel cuda -hwaccel_output_format cuda -i input.mp4 \
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-init_hw_device cuda \
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-filter_complex \
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" \
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[0:v]scale_cuda=format=yuv444p[scaled_video];
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[scaled_video]bilateral_cuda=window_size=9:sigmaS=3.0:sigmaR=50.0" \
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-an -sn -c:v h264_nvenc -cq 20 out.mp4
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@end example
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@end itemize
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@section bitplanenoise
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Show and measure bit plane noise.
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@ -194,6 +194,7 @@ OBJS-$(CONFIG_AVGBLUR_VULKAN_FILTER) += vf_avgblur_vulkan.o vulkan.o vul
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OBJS-$(CONFIG_BBOX_FILTER) += bbox.o vf_bbox.o
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OBJS-$(CONFIG_BENCH_FILTER) += f_bench.o
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OBJS-$(CONFIG_BILATERAL_FILTER) += vf_bilateral.o
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OBJS-$(CONFIG_BILATERAL_CUDA_FILTER) += vf_bilateral_cuda.o vf_bilateral_cuda.ptx.o
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OBJS-$(CONFIG_BITPLANENOISE_FILTER) += vf_bitplanenoise.o
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OBJS-$(CONFIG_BLACKDETECT_FILTER) += vf_blackdetect.o
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OBJS-$(CONFIG_BLACKFRAME_FILTER) += vf_blackframe.o
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@ -180,6 +180,7 @@ extern const AVFilter ff_vf_avgblur_vulkan;
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extern const AVFilter ff_vf_bbox;
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extern const AVFilter ff_vf_bench;
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extern const AVFilter ff_vf_bilateral;
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extern const AVFilter ff_vf_bilateral_cuda;
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extern const AVFilter ff_vf_bitplanenoise;
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extern const AVFilter ff_vf_blackdetect;
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extern const AVFilter ff_vf_blackframe;
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@ -31,7 +31,7 @@
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#include "version_major.h"
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#define LIBAVFILTER_VERSION_MINOR 47
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#define LIBAVFILTER_VERSION_MINOR 48
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#define LIBAVFILTER_VERSION_MICRO 100
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@ -0,0 +1,479 @@
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/*
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* Copyright (c) 2022 Mohamed Khaled <Mohamed_Khaled_Kamal@outlook.com>
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*
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* This file is part of FFmpeg.
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*
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* FFmpeg is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* FFmpeg is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with FFmpeg; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*/
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#include <float.h>
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#include <stdio.h>
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#include <string.h>
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#include "libavutil/avstring.h"
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#include "libavutil/common.h"
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#include "libavutil/hwcontext.h"
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#include "libavutil/hwcontext_cuda_internal.h"
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#include "libavutil/cuda_check.h"
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#include "libavutil/internal.h"
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#include "libavutil/opt.h"
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#include "libavutil/pixdesc.h"
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#include "avfilter.h"
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#include "formats.h"
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#include "internal.h"
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#include "video.h"
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#include "cuda/load_helper.h"
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static const enum AVPixelFormat supported_formats[] = {
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AV_PIX_FMT_YUV420P,
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AV_PIX_FMT_NV12,
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AV_PIX_FMT_YUV444P
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};
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#define DIV_UP(a, b) ( ((a) + (b) - 1) / (b) )
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#define BLOCKX 32
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#define BLOCKY 16
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#define CHECK_CU(x) FF_CUDA_CHECK_DL(ctx, s->hwctx->internal->cuda_dl, x)
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typedef struct CUDABilateralContext {
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const AVClass *class;
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AVCUDADeviceContext *hwctx;
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enum AVPixelFormat in_fmt, out_fmt;
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const AVPixFmtDescriptor *in_desc, *out_desc;
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int in_planes, out_planes;
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int in_plane_depths[4];
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int in_plane_channels[4];
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int window_size;
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float sigmaS;
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float sigmaR;
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AVBufferRef *frames_ctx;
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AVFrame *frame;
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AVFrame *tmp_frame;
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CUcontext cu_ctx;
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CUmodule cu_module;
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CUfunction cu_func;
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CUfunction cu_func_uv;
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CUstream cu_stream;
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} CUDABilateralContext;
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static av_cold int cudabilateral_init(AVFilterContext *ctx)
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{
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CUDABilateralContext *s = ctx->priv;
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s->frame = av_frame_alloc();
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if (!s->frame)
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return AVERROR(ENOMEM);
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s->tmp_frame = av_frame_alloc();
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if (!s->tmp_frame)
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return AVERROR(ENOMEM);
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return 0;
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}
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static av_cold void cudabilateral_uninit(AVFilterContext *ctx)
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{
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CUDABilateralContext *s = ctx->priv;
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if (s->hwctx && s->cu_module) {
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CudaFunctions *cu = s->hwctx->internal->cuda_dl;
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CUcontext bilateral;
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CHECK_CU(cu->cuCtxPushCurrent(s->hwctx->cuda_ctx));
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CHECK_CU(cu->cuModuleUnload(s->cu_module));
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s->cu_module = NULL;
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CHECK_CU(cu->cuCtxPopCurrent(&bilateral));
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}
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av_frame_free(&s->frame);
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av_buffer_unref(&s->frames_ctx);
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av_frame_free(&s->tmp_frame);
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}
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static av_cold int init_hwframe_ctx(CUDABilateralContext *s, AVBufferRef *device_ctx, int width, int height)
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{
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AVBufferRef *out_ref = NULL;
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AVHWFramesContext *out_ctx;
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int ret;
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out_ref = av_hwframe_ctx_alloc(device_ctx);
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if (!out_ref)
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return AVERROR(ENOMEM);
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out_ctx = (AVHWFramesContext*)out_ref->data;
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out_ctx->format = AV_PIX_FMT_CUDA;
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out_ctx->sw_format = s->out_fmt;
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out_ctx->width = width;
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out_ctx->height = height;
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ret = av_hwframe_ctx_init(out_ref);
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if (ret < 0)
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goto fail;
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av_frame_unref(s->frame);
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ret = av_hwframe_get_buffer(out_ref, s->frame, 0);
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if (ret < 0)
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goto fail;
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av_buffer_unref(&s->frames_ctx);
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s->frames_ctx = out_ref;
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return 0;
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fail:
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av_buffer_unref(&out_ref);
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return ret;
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}
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static int format_is_supported(enum AVPixelFormat fmt)
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{
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int i;
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for (i = 0; i < FF_ARRAY_ELEMS(supported_formats); i++)
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if (supported_formats[i] == fmt)
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return 1;
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return 0;
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}
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static av_cold void set_format_info(AVFilterContext *ctx, enum AVPixelFormat in_format, enum AVPixelFormat out_format)
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{
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CUDABilateralContext *s = ctx->priv;
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int i, p, d;
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s->in_fmt = in_format;
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s->out_fmt = out_format;
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s->in_desc = av_pix_fmt_desc_get(s->in_fmt);
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s->out_desc = av_pix_fmt_desc_get(s->out_fmt);
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s->in_planes = av_pix_fmt_count_planes(s->in_fmt);
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s->out_planes = av_pix_fmt_count_planes(s->out_fmt);
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// find maximum step of each component of each plane
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// For our subset of formats, this should accurately tell us how many channels CUDA needs
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// i.e. 1 for Y plane, 2 for UV plane of NV12, 4 for single plane of RGB0 formats
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for (i = 0; i < s->in_desc->nb_components; i++) {
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d = (s->in_desc->comp[i].depth + 7) / 8;
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p = s->in_desc->comp[i].plane;
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s->in_plane_channels[p] = FFMAX(s->in_plane_channels[p], s->in_desc->comp[i].step / d);
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s->in_plane_depths[p] = s->in_desc->comp[i].depth;
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}
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}
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static av_cold int init_processing_chain(AVFilterContext *ctx, int width, int height)
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{
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CUDABilateralContext *s = ctx->priv;
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AVHWFramesContext *in_frames_ctx;
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int ret;
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/* check that we have a hw context */
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if (!ctx->inputs[0]->hw_frames_ctx) {
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av_log(ctx, AV_LOG_ERROR, "No hw context provided on input\n");
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return AVERROR(EINVAL);
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}
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in_frames_ctx = (AVHWFramesContext*)ctx->inputs[0]->hw_frames_ctx->data;
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if (!format_is_supported(in_frames_ctx->sw_format)) {
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av_log(ctx, AV_LOG_ERROR, "Unsupported format: %s\n", av_get_pix_fmt_name(in_frames_ctx->sw_format));
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return AVERROR(ENOSYS);
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}
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set_format_info(ctx, in_frames_ctx->sw_format, in_frames_ctx->sw_format);
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ret = init_hwframe_ctx(s, in_frames_ctx->device_ref, width, height);
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if (ret < 0)
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return ret;
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ctx->outputs[0]->hw_frames_ctx = av_buffer_ref(s->frames_ctx);
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if (!ctx->outputs[0]->hw_frames_ctx)
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return AVERROR(ENOMEM);
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return 0;
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}
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static av_cold int cuda_bilateral_load_functions(AVFilterContext *ctx)
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{
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CUDABilateralContext *s = ctx->priv;
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CUcontext bilateral, cuda_ctx = s->hwctx->cuda_ctx;
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CudaFunctions *cu = s->hwctx->internal->cuda_dl;
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int ret;
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extern const unsigned char ff_vf_bilateral_cuda_ptx_data[];
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extern const unsigned int ff_vf_bilateral_cuda_ptx_len;
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ret = CHECK_CU(cu->cuCtxPushCurrent(cuda_ctx));
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if (ret < 0)
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return ret;
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ret = ff_cuda_load_module(ctx, s->hwctx, &s->cu_module,
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ff_vf_bilateral_cuda_ptx_data, ff_vf_bilateral_cuda_ptx_len);
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if (ret < 0)
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goto fail;
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ret = CHECK_CU(cu->cuModuleGetFunction(&s->cu_func, s->cu_module, "Process_uchar"));
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if (ret < 0) {
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av_log(ctx, AV_LOG_FATAL, "Failed loading Process_uchar\n");
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goto fail;
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}
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ret = CHECK_CU(cu->cuModuleGetFunction(&s->cu_func_uv, s->cu_module, "Process_uchar2"));
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if (ret < 0) {
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av_log(ctx, AV_LOG_FATAL, "Failed loading Process_uchar2\n");
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goto fail;
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}
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fail:
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CHECK_CU(cu->cuCtxPopCurrent(&bilateral));
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return ret;
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}
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static av_cold int cuda_bilateral_config_props(AVFilterLink *outlink)
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{
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AVFilterContext *ctx = outlink->src;
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AVFilterLink *inlink = outlink->src->inputs[0];
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CUDABilateralContext *s = ctx->priv;
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AVHWFramesContext *frames_ctx = (AVHWFramesContext*)inlink->hw_frames_ctx->data;
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AVCUDADeviceContext *device_hwctx = frames_ctx->device_ctx->hwctx;
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int ret;
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s->hwctx = device_hwctx;
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s->cu_stream = s->hwctx->stream;
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ret = init_processing_chain(ctx, inlink->w, inlink->h);
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if (ret < 0)
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return ret;
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outlink->sample_aspect_ratio = inlink->sample_aspect_ratio;
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// the window_size makes more sense when it is odd, so add 1 if even
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s->window_size= (s->window_size%2) ? s->window_size : s->window_size+1;
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ret = cuda_bilateral_load_functions(ctx);
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if (ret < 0)
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return ret;
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return 0;
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}
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static int call_cuda_kernel(AVFilterContext *ctx, CUfunction func,
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CUtexObject src_tex[3], AVFrame *out_frame,
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int width, int height, int pitch,
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int width_uv, int height_uv, int pitch_uv,
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int window_size, float sigmaS, float sigmaR)
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{
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CUDABilateralContext *s = ctx->priv;
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CudaFunctions *cu = s->hwctx->internal->cuda_dl;
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int ret;
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CUdeviceptr dst_devptr[3] = {
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(CUdeviceptr)out_frame->data[0], (CUdeviceptr)out_frame->data[1], (CUdeviceptr)out_frame->data[2]
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};
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void *args_uchar[] = {
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&src_tex[0], &src_tex[1], &src_tex[2],
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&dst_devptr[0], &dst_devptr[1], &dst_devptr[2],
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&width, &height, &pitch,
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&width_uv, &height_uv, &pitch_uv,
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&window_size, &sigmaS, &sigmaR
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};
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ret = CHECK_CU(cu->cuLaunchKernel(func,
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DIV_UP(width, BLOCKX), DIV_UP(height, BLOCKY), 1,
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BLOCKX, BLOCKY, 1, 0, s->cu_stream, args_uchar, NULL));
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if (ret < 0)
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return ret;
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return ret;
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}
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static int cuda_bilateral_process_internal(AVFilterContext *ctx,
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AVFrame *out, AVFrame *in)
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{
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CUDABilateralContext *s = ctx->priv;
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CudaFunctions *cu = s->hwctx->internal->cuda_dl;
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CUcontext bilateral, cuda_ctx = s->hwctx->cuda_ctx;
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int i, ret;
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CUtexObject tex[3] = { 0, 0, 0 };
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ret = CHECK_CU(cu->cuCtxPushCurrent(cuda_ctx));
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if (ret < 0)
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return ret;
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for (i = 0; i < s->in_planes; i++) {
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CUDA_TEXTURE_DESC tex_desc = {
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.filterMode = CU_TR_FILTER_MODE_LINEAR,
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.flags = 0, // CU_TRSF_READ_AS_INTEGER to get raw ints instead of normalized floats from tex2D
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};
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CUDA_RESOURCE_DESC res_desc = {
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.resType = CU_RESOURCE_TYPE_PITCH2D,
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.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,
|
||||
};
|
||||
|
|
@ -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);
|
||||
}
|
||||
|
||||
}
|
||||
Loading…
Reference in New Issue