+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}, 0.0, 512, FLAGS },
+ { "sigmaR", "set range sigmaR", OFFSET(sigmaR),
AV_OPT_TYPE_FLOAT, {.dbl=0.1}, 0.0, 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..f477e5aa29
--- /dev/null
+++ b/libavfilter/vf_bilateral_cuda.cu
@@ -0,0 +1,177 @@
+/*
+ * Copyright (c) 2022 Mohamed Khaled <mohamed_khaled_ka...@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, w;
+ 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);
+ w = __expf(-first_term - second_term);
+ return w;
+ }
+
+ /**
+ * @brief apply the bilateral filter on the pixel sent
+ *
+ * @param src_tex_Y Y channel of source image
+ * @param src_tex_U U channel of source image 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_U,
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 channel_ratio=width/width_uv; // ratio between Y channel and UV
channels
+ float4 currrent_pixel=make_float4(tex2D<float>(src_tex_Y, x, y) *
255.f,
+ tex2D<float>(src_tex_U,
x/channel_ratio, y/channel_ratio) * 255.f,
+ tex2D<float>(src_tex_V,
x/channel_ratio, y/channel_ratio) * 255.f, 0.f);
+ 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;
+ 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_U,
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_U,
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);
+ }
+}
