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avfilter/thumbnail_cuda: add cuda thumbnail filter

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Signed-off-by: Timo Rothenpieler <timo@rothenpieler.org>
This commit is contained in:
Yogender Gupta 2017-09-04 18:18:16 +05:30 committed by Timo Rothenpieler
parent 183fd30e0f
commit 21e077fcb3
7 changed files with 529 additions and 1 deletions
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2
Changelog
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@ -48,6 +48,8 @@ version <next>:
- convolve video filter
- VP9 tile threading support
- KMS screen grabber
- CUDA thumbnail filter
version 3.3:
- CrystalHD decoder moved to new decode API

1
configure vendored
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@ -2759,6 +2759,7 @@ vaapi_encode_deps="vaapi"
hwupload_cuda_filter_deps="cuda"
scale_npp_filter_deps="cuda libnpp"
scale_cuda_filter_deps="cuda_sdk"
thumbnail_cuda_filter_deps="cuda_sdk"
nvenc_deps="cuda"
nvenc_deps_any="dlopen LoadLibrary"

1
libavfilter/Makefile
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@ -315,6 +315,7 @@ OBJS-$(CONFIG_TBLEND_FILTER) += vf_blend.o framesync.o
OBJS-$(CONFIG_TELECINE_FILTER) += vf_telecine.o
OBJS-$(CONFIG_THRESHOLD_FILTER) += vf_threshold.o framesync.o
OBJS-$(CONFIG_THUMBNAIL_FILTER) += vf_thumbnail.o
OBJS-$(CONFIG_THUMBNAIL_CUDA_FILTER) += vf_thumbnail_cuda.o vf_thumbnail_cuda.ptx.o
OBJS-$(CONFIG_TILE_FILTER) += vf_tile.o
OBJS-$(CONFIG_TINTERLACE_FILTER) += vf_tinterlace.o
OBJS-$(CONFIG_TLUT2_FILTER) += vf_lut2.o framesync.o

1
libavfilter/allfilters.c
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@ -326,6 +326,7 @@ static void register_all(void)
REGISTER_FILTER(TELECINE, telecine, vf);
REGISTER_FILTER(THRESHOLD, threshold, vf);
REGISTER_FILTER(THUMBNAIL, thumbnail, vf);
REGISTER_FILTER(THUMBNAIL_CUDA, thumbnail_cuda, vf);
REGISTER_FILTER(TILE, tile, vf);
REGISTER_FILTER(TINTERLACE, tinterlace, vf);
REGISTER_FILTER(TLUT2, tlut2, vf);

2
libavfilter/version.h
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@ -30,7 +30,7 @@
#include "libavutil/version.h"
#define LIBAVFILTER_VERSION_MAJOR 6
#define LIBAVFILTER_VERSION_MINOR 105
#define LIBAVFILTER_VERSION_MINOR 106
#define LIBAVFILTER_VERSION_MICRO 100
#define LIBAVFILTER_VERSION_INT AV_VERSION_INT(LIBAVFILTER_VERSION_MAJOR, \

444
libavfilter/vf_thumbnail_cuda.c Normal file
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@ -0,0 +1,444 @@
/*
* Copyright (c) 2017, NVIDIA CORPORATION. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
* the rights to use, copy, modify, merge, publish, distribute, sublicense,
* and/or sell copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
* THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
* DEALINGS IN THE SOFTWARE.
*/
#include <cuda.h>
#include "libavutil/hwcontext.h"
#include "libavutil/hwcontext_cuda_internal.h"
#include "libavutil/opt.h"
#include "libavutil/pixdesc.h"
#include "avfilter.h"
#include "internal.h"
#define HIST_SIZE (3*256)
#define DIV_UP(a, b) ( ((a) + (b) - 1) / (b) )
#define BLOCKX 32
#define BLOCKY 16
static const enum AVPixelFormat supported_formats[] = {
AV_PIX_FMT_NV12,
AV_PIX_FMT_YUV420P,
AV_PIX_FMT_YUV444P,
AV_PIX_FMT_P010,
AV_PIX_FMT_P016,
AV_PIX_FMT_YUV444P16,
};
struct thumb_frame {
AVFrame *buf; ///< cached frame
int histogram[HIST_SIZE]; ///< RGB color distribution histogram of the frame
};
typedef struct ThumbnailCudaContext {
const AVClass *class;
int n; ///< current frame
int n_frames; ///< number of frames for analysis
struct thumb_frame *frames; ///< the n_frames frames
AVRational tb; ///< copy of the input timebase to ease access
AVBufferRef *hw_frames_ctx;
CUmodule cu_module;
CUfunction cu_func_uchar;
CUfunction cu_func_uchar2;
CUfunction cu_func_ushort;
CUfunction cu_func_ushort2;
CUtexref cu_tex_uchar;
CUtexref cu_tex_uchar2;
CUtexref cu_tex_ushort;
CUtexref cu_tex_ushort2;
CUdeviceptr data;
} ThumbnailCudaContext;
#define OFFSET(x) offsetof(ThumbnailCudaContext, x)
#define FLAGS AV_OPT_FLAG_VIDEO_PARAM|AV_OPT_FLAG_FILTERING_PARAM
static const AVOption thumbnail_cuda_options[] = {
{ "n", "set the frames batch size", OFFSET(n_frames), AV_OPT_TYPE_INT, {.i64=100}, 2, INT_MAX, FLAGS },
{ NULL }
};
AVFILTER_DEFINE_CLASS(thumbnail_cuda);
static av_cold int init(AVFilterContext *ctx)
{
ThumbnailCudaContext *s = ctx->priv;
s->frames = av_calloc(s->n_frames, sizeof(*s->frames));
if (!s->frames) {
av_log(ctx, AV_LOG_ERROR,
"Allocation failure, try to lower the number of frames\n");
return AVERROR(ENOMEM);
}
av_log(ctx, AV_LOG_VERBOSE, "batch size: %d frames\n", s->n_frames);
return 0;
}
/**
* @brief Compute Sum-square deviation to estimate "closeness".
* @param hist color distribution histogram
* @param median average color distribution histogram
* @return sum of squared errors
*/
static double frame_sum_square_err(const int *hist, const double *median)
{
int i;
double err, sum_sq_err = 0;
for (i = 0; i < HIST_SIZE; i++) {
err = median[i] - (double)hist[i];
sum_sq_err += err*err;
}
return sum_sq_err;
}
static AVFrame *get_best_frame(AVFilterContext *ctx)
{
AVFrame *picref;
ThumbnailCudaContext *s = ctx->priv;
int i, j, best_frame_idx = 0;
int nb_frames = s->n;
double avg_hist[HIST_SIZE] = {0}, sq_err, min_sq_err = -1;
// average histogram of the N frames
for (j = 0; j < FF_ARRAY_ELEMS(avg_hist); j++) {
for (i = 0; i < nb_frames; i++)
avg_hist[j] += (double)s->frames[i].histogram[j];
avg_hist[j] /= nb_frames;
}
// find the frame closer to the average using the sum of squared errors
for (i = 0; i < nb_frames; i++) {
sq_err = frame_sum_square_err(s->frames[i].histogram, avg_hist);
if (i == 0 || sq_err < min_sq_err)
best_frame_idx = i, min_sq_err = sq_err;
}
// free and reset everything (except the best frame buffer)
for (i = 0; i < nb_frames; i++) {
memset(s->frames[i].histogram, 0, sizeof(s->frames[i].histogram));
if (i != best_frame_idx)
av_frame_free(&s->frames[i].buf);
}
s->n = 0;
// raise the chosen one
picref = s->frames[best_frame_idx].buf;
av_log(ctx, AV_LOG_INFO, "frame id #%d (pts_time=%f) selected "
"from a set of %d images\n", best_frame_idx,
picref->pts * av_q2d(s->tb), nb_frames);
s->frames[best_frame_idx].buf = NULL;
return picref;
}
static int thumbnail_kernel(ThumbnailCudaContext *s, CUfunction func, CUtexref tex, int channels,
int *histogram, uint8_t *src_dptr, int src_width, int src_height, int src_pitch, int pixel_size)
{
CUdeviceptr src_devptr = (CUdeviceptr)src_dptr;
void *args[] = { &histogram, &src_width, &src_height };
CUDA_ARRAY_DESCRIPTOR desc;
desc.Width = src_width;
desc.Height = src_height;
desc.NumChannels = channels;
if (pixel_size == 1) {
desc.Format = CU_AD_FORMAT_UNSIGNED_INT8;
}
else {
desc.Format = CU_AD_FORMAT_UNSIGNED_INT16;
}
cuTexRefSetAddress2D_v3(tex, &desc, src_devptr, src_pitch);
cuLaunchKernel(func, DIV_UP(src_width, BLOCKX), DIV_UP(src_height, BLOCKY), 1, BLOCKX, BLOCKY, 1, 0, 0, args, NULL);
return 0;
}
static int thumbnail(AVFilterContext *ctx, int *histogram, AVFrame *in)
{
AVHWFramesContext *in_frames_ctx = (AVHWFramesContext*)in->hw_frames_ctx->data;
ThumbnailCudaContext *s = ctx->priv;
switch (in_frames_ctx->sw_format) {
case AV_PIX_FMT_NV12:
thumbnail_kernel(s, s->cu_func_uchar, s->cu_tex_uchar, 1,
histogram, in->data[0], in->width, in->height, in->linesize[0], 1);
thumbnail_kernel(s, s->cu_func_uchar2, s->cu_tex_uchar2, 2,
histogram + 256, in->data[1], in->width / 2, in->height / 2, in->linesize[1], 1);
break;
case AV_PIX_FMT_YUV420P:
thumbnail_kernel(s, s->cu_func_uchar, s->cu_tex_uchar, 1,
histogram, in->data[0], in->width, in->height, in->linesize[0], 1);
thumbnail_kernel(s, s->cu_func_uchar, s->cu_tex_uchar, 1,
histogram + 256, in->data[1], in->width / 2, in->height / 2, in->linesize[1], 1);
thumbnail_kernel(s, s->cu_func_uchar, s->cu_tex_uchar, 1,
histogram + 512, in->data[2], in->width / 2, in->height / 2, in->linesize[2], 1);
break;
case AV_PIX_FMT_YUV444P:
thumbnail_kernel(s, s->cu_func_uchar, s->cu_tex_uchar, 1,
histogram, in->data[0], in->width, in->height, in->linesize[0], 1);
thumbnail_kernel(s, s->cu_func_uchar, s->cu_tex_uchar, 1,
histogram + 256, in->data[1], in->width, in->height, in->linesize[1], 1);
thumbnail_kernel(s, s->cu_func_uchar, s->cu_tex_uchar, 1,
histogram + 512, in->data[2], in->width, in->height, in->linesize[2], 1);
break;
case AV_PIX_FMT_P010LE:
case AV_PIX_FMT_P016LE:
thumbnail_kernel(s, s->cu_func_ushort, s->cu_tex_ushort, 1,
histogram, in->data[0], in->width, in->height, in->linesize[0], 2);
thumbnail_kernel(s, s->cu_func_ushort2, s->cu_tex_ushort2, 2,
histogram + 256, in->data[1], in->width / 2, in->height / 2, in->linesize[1], 2);
break;
case AV_PIX_FMT_YUV444P16:
thumbnail_kernel(s, s->cu_func_ushort2, s->cu_tex_uchar, 1,
histogram, in->data[0], in->width, in->height, in->linesize[0], 2);
thumbnail_kernel(s, s->cu_func_ushort2, s->cu_tex_uchar, 1,
histogram + 256, in->data[1], in->width, in->height, in->linesize[1], 2);
thumbnail_kernel(s, s->cu_func_ushort2, s->cu_tex_uchar, 1,
histogram + 512, in->data[2], in->width, in->height, in->linesize[2], 2);
break;
default:
return AVERROR_BUG;
}
return 0;
}
static int filter_frame(AVFilterLink *inlink, AVFrame *frame)
{
AVFilterContext *ctx = inlink->dst;
ThumbnailCudaContext *s = ctx->priv;
AVFilterLink *outlink = ctx->outputs[0];
int *hist = s->frames[s->n].histogram;
AVHWFramesContext *hw_frames_ctx = (AVHWFramesContext*)s->hw_frames_ctx->data;
AVCUDADeviceContext *device_hwctx = hw_frames_ctx->device_ctx->hwctx;
CUresult err;
CUcontext dummy;
CUDA_MEMCPY2D cpy = { 0 };
int ret = 0;
// keep a reference of each frame
s->frames[s->n].buf = frame;
err = cuCtxPushCurrent(device_hwctx->cuda_ctx);
if (err != CUDA_SUCCESS)
return AVERROR_UNKNOWN;
cuMemsetD8(s->data, 0, HIST_SIZE * sizeof(int));
thumbnail(ctx, (int*)s->data, frame);
cpy.srcMemoryType = CU_MEMORYTYPE_DEVICE;
cpy.dstMemoryType = CU_MEMORYTYPE_HOST;
cpy.srcDevice = s->data;
cpy.dstHost = hist;
cpy.srcPitch = HIST_SIZE * sizeof(int);
cpy.dstPitch = HIST_SIZE * sizeof(int);
cpy.WidthInBytes = HIST_SIZE * sizeof(int);
cpy.Height = 1;
err = cuMemcpy2D(&cpy);
if (err != CUDA_SUCCESS) {
av_log(ctx, AV_LOG_ERROR, "Error transferring the data from the CUDA frame\n");
return AVERROR_UNKNOWN;
}
if (hw_frames_ctx->sw_format == AV_PIX_FMT_NV12 || hw_frames_ctx->sw_format == AV_PIX_FMT_YUV420P ||
hw_frames_ctx->sw_format == AV_PIX_FMT_P010LE || hw_frames_ctx->sw_format == AV_PIX_FMT_P016LE)
{
for (int i = 256; i < HIST_SIZE; i++)
hist[i] = 4 * hist[i];
}
cuCtxPopCurrent(&dummy);
if (ret < 0)
return ret;
// no selection until the buffer of N frames is filled up
s->n++;
if (s->n < s->n_frames)
return 0;
return ff_filter_frame(outlink, get_best_frame(ctx));
}
static av_cold void uninit(AVFilterContext *ctx)
{
int i;
ThumbnailCudaContext *s = ctx->priv;
if (s->data) {
cuMemFree(s->data);
s->data = 0;
}
if (s->cu_module) {
cuModuleUnload(s->cu_module);
s->cu_module = NULL;
}
for (i = 0; i < s->n_frames && s->frames[i].buf; i++)
av_frame_free(&s->frames[i].buf);
av_freep(&s->frames);
}
static int request_frame(AVFilterLink *link)
{
AVFilterContext *ctx = link->src;
ThumbnailCudaContext *s = ctx->priv;
int ret = ff_request_frame(ctx->inputs[0]);
if (ret == AVERROR_EOF && s->n) {
ret = ff_filter_frame(link, get_best_frame(ctx));
if (ret < 0)
return ret;
ret = AVERROR_EOF;
}
if (ret < 0)
return ret;
return 0;
}
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 int config_props(AVFilterLink *inlink)
{
AVFilterContext *ctx = inlink->dst;
ThumbnailCudaContext *s = ctx->priv;
AVHWFramesContext *hw_frames_ctx = (AVHWFramesContext*)inlink->hw_frames_ctx->data;
AVCUDADeviceContext *device_hwctx = hw_frames_ctx->device_ctx->hwctx;
CUcontext dummy, cuda_ctx = device_hwctx->cuda_ctx;
CUresult err;
extern char vf_thumbnail_cuda_ptx[];
err = cuCtxPushCurrent(cuda_ctx);
if (err != CUDA_SUCCESS) {
av_log(ctx, AV_LOG_ERROR, "Error pushing cuda context\n");
return AVERROR_UNKNOWN;
}
err = cuModuleLoadData(&s->cu_module, vf_thumbnail_cuda_ptx);
if (err != CUDA_SUCCESS) {
av_log(ctx, AV_LOG_ERROR, "Error loading module data\n");
return AVERROR_UNKNOWN;
}
cuModuleGetFunction(&s->cu_func_uchar, s->cu_module, "Thumbnail_uchar");
cuModuleGetFunction(&s->cu_func_uchar2, s->cu_module, "Thumbnail_uchar2");
cuModuleGetFunction(&s->cu_func_ushort, s->cu_module, "Thumbnail_ushort");
cuModuleGetFunction(&s->cu_func_ushort2, s->cu_module, "Thumbnail_ushort2");
cuModuleGetTexRef(&s->cu_tex_uchar, s->cu_module, "uchar_tex");
cuModuleGetTexRef(&s->cu_tex_uchar2, s->cu_module, "uchar2_tex");
cuModuleGetTexRef(&s->cu_tex_ushort, s->cu_module, "ushort_tex");
cuModuleGetTexRef(&s->cu_tex_ushort2, s->cu_module, "ushort2_tex");
cuTexRefSetFlags(s->cu_tex_uchar, CU_TRSF_READ_AS_INTEGER);
cuTexRefSetFlags(s->cu_tex_uchar2, CU_TRSF_READ_AS_INTEGER);
cuTexRefSetFlags(s->cu_tex_ushort, CU_TRSF_READ_AS_INTEGER);
cuTexRefSetFlags(s->cu_tex_ushort2, CU_TRSF_READ_AS_INTEGER);
cuTexRefSetFilterMode(s->cu_tex_uchar, CU_TR_FILTER_MODE_LINEAR);
cuTexRefSetFilterMode(s->cu_tex_uchar2, CU_TR_FILTER_MODE_LINEAR);
cuTexRefSetFilterMode(s->cu_tex_ushort, CU_TR_FILTER_MODE_LINEAR);
cuTexRefSetFilterMode(s->cu_tex_ushort2, CU_TR_FILTER_MODE_LINEAR);
err = cuMemAlloc(&s->data, HIST_SIZE * sizeof(int));
if (err != CUDA_SUCCESS) {
av_log(ctx, AV_LOG_ERROR, "Error allocating cuda memory\n");
return AVERROR_UNKNOWN;
}
cuCtxPopCurrent(&dummy);
s->hw_frames_ctx = ctx->inputs[0]->hw_frames_ctx;
ctx->outputs[0]->hw_frames_ctx = av_buffer_ref(s->hw_frames_ctx);
if (!ctx->outputs[0]->hw_frames_ctx)
return AVERROR(ENOMEM);
s->tb = inlink->time_base;
if (!format_is_supported(hw_frames_ctx->sw_format)) {
av_log(ctx, AV_LOG_ERROR, "Unsupported input format: %s\n", av_get_pix_fmt_name(hw_frames_ctx->sw_format));
return AVERROR(ENOSYS);
}
return 0;
}
static int query_formats(AVFilterContext *ctx)
{
static const enum AVPixelFormat pix_fmts[] = {
AV_PIX_FMT_CUDA,
AV_PIX_FMT_NONE
};
AVFilterFormats *fmts_list = ff_make_format_list(pix_fmts);
if (!fmts_list)
return AVERROR(ENOMEM);
return ff_set_common_formats(ctx, fmts_list);
}
static const AVFilterPad thumbnail_cuda_inputs[] = {
{
.name = "default",
.type = AVMEDIA_TYPE_VIDEO,
.config_props = config_props,
.filter_frame = filter_frame,
},
{ NULL }
};
static const AVFilterPad thumbnail_cuda_outputs[] = {
{
.name = "default",
.type = AVMEDIA_TYPE_VIDEO,
.request_frame = request_frame,
},
{ NULL }
};
AVFilter ff_vf_thumbnail_cuda = {
.name = "thumbnail_cuda",
.description = NULL_IF_CONFIG_SMALL("Select the most representative frame in a given sequence of consecutive frames."),
.priv_size = sizeof(ThumbnailCudaContext),
.init = init,
.uninit = uninit,
.query_formats = query_formats,
.inputs = thumbnail_cuda_inputs,
.outputs = thumbnail_cuda_outputs,
.priv_class = &thumbnail_cuda_class,
.flags_internal = FF_FILTER_FLAG_HWFRAME_AWARE,
};

79
libavfilter/vf_thumbnail_cuda.cu Normal file
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@ -0,0 +1,79 @@
/*
* Copyright (c) 2017, NVIDIA CORPORATION. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
* the rights to use, copy, modify, merge, publish, distribute, sublicense,
* and/or sell copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
* THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
* DEALINGS IN THE SOFTWARE.
*/
extern "C" {
texture<unsigned char, 2> uchar_tex;
texture<uchar2, 2> uchar2_tex;
texture<unsigned short, 2> ushort_tex;
texture<ushort2, 2> ushort2_tex;
__global__ void Thumbnail_uchar(int *histogram, int src_width, int src_height)
{
int x = blockIdx.x * blockDim.x + threadIdx.x;
int y = blockIdx.y * blockDim.y + threadIdx.y;
if (y < src_height && x < src_width)
{
unsigned char pixel = tex2D(uchar_tex, x, y);
atomicAdd(&histogram[pixel], 1);
}
}
__global__ void Thumbnail_uchar2(int *histogram, int src_width, int src_height)
{
int x = blockIdx.x * blockDim.x + threadIdx.x;
int y = blockIdx.y * blockDim.y + threadIdx.y;
if (y < src_height && x < src_width)
{
uchar2 pixel = tex2D(uchar2_tex, x, y);
atomicAdd(&histogram[pixel.x], 1);
atomicAdd(&histogram[256 + pixel.y], 1);
}
}
__global__ void Thumbnail_ushort(int *histogram, int src_width, int src_height)
{
int x = blockIdx.x * blockDim.x + threadIdx.x;
int y = blockIdx.y * blockDim.y + threadIdx.y;
if (y < src_height && x < src_width)
{
unsigned short pixel = (tex2D(ushort_tex, x, y) + 128) >> 8;
atomicAdd(&histogram[pixel], 1);
}
}
__global__ void Thumbnail_ushort2(int *histogram, int src_width, int src_height)
{
int x = blockIdx.x * blockDim.x + threadIdx.x;
int y = blockIdx.y * blockDim.y + threadIdx.y;
if (y < src_height && x < src_width)
{
ushort2 pixel = tex2D(ushort2_tex, x, y);
atomicAdd(&histogram[(pixel.x + 128) >> 8], 1);
atomicAdd(&histogram[256 + (pixel.y + 128) >> 8], 1);
}
}
}