mirror of https://github.com/FFmpeg/FFmpeg.git
Behaves like existing convolution filter. Signed-off-by: Mark Thompson <sw@jkqxz.net>pull/283/head
parent
cfe1a9d311
commit
9f17875134
6 changed files with 418 additions and 0 deletions
@ -0,0 +1,45 @@ |
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/* |
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* Copyright (c) 2018 Danil Iashchenko |
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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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|
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__kernel void convolution_global(__write_only image2d_t dst, |
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__read_only image2d_t src, |
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int coef_matrix_dim, |
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__constant float *coef_matrix, |
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float div, |
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float bias) |
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{ |
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const sampler_t sampler = (CLK_NORMALIZED_COORDS_FALSE | |
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CLK_ADDRESS_CLAMP_TO_EDGE | |
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CLK_FILTER_NEAREST); |
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const int half_matrix_dim = (coef_matrix_dim / 2); |
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int2 loc = (int2)(get_global_id(0), get_global_id(1)); |
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float4 convPix = (float4)(0.0f, 0.0f, 0.0f, 0.0f); |
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for (int conv_i = -half_matrix_dim; conv_i <= half_matrix_dim; conv_i++) { |
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for (int conv_j = -half_matrix_dim; conv_j <= half_matrix_dim; conv_j++) { |
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float4 px = read_imagef(src, sampler, loc + (int2)(conv_j, conv_i)); |
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convPix += px * coef_matrix[(conv_i + half_matrix_dim) * coef_matrix_dim + |
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(conv_j + half_matrix_dim)]; |
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} |
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} |
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float4 dstPix = convPix * div + bias; |
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write_imagef(dst, loc, dstPix); |
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} |
@ -0,0 +1,368 @@ |
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/*
|
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* Copyright (c) 2018 Danil Iashchenko |
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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 "libavutil/common.h" |
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#include "libavutil/imgutils.h" |
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#include "libavutil/mem.h" |
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#include "libavutil/opt.h" |
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#include "libavutil/pixdesc.h" |
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#include "libavutil/avstring.h" |
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#include "avfilter.h" |
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#include "internal.h" |
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#include "opencl.h" |
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#include "opencl_source.h" |
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#include "video.h" |
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typedef struct ConvolutionOpenCLContext { |
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OpenCLFilterContext ocf; |
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int initialised; |
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cl_kernel kernel; |
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cl_command_queue command_queue; |
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char *matrix_str[4]; |
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cl_mem matrix[4]; |
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cl_int matrix_sizes[4]; |
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cl_int dims[4]; |
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cl_float rdivs[4]; |
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cl_float biases[4]; |
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} ConvolutionOpenCLContext; |
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static int convolution_opencl_init(AVFilterContext *avctx) |
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{ |
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ConvolutionOpenCLContext *ctx = avctx->priv; |
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cl_int cle; |
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int err; |
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err = ff_opencl_filter_load_program(avctx, &ff_opencl_source_convolution, 1); |
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if (err < 0) |
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goto fail; |
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ctx->command_queue = clCreateCommandQueue(ctx->ocf.hwctx->context, |
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ctx->ocf.hwctx->device_id, |
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0, &cle); |
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if (!ctx->command_queue) { |
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av_log(avctx, AV_LOG_ERROR, "Failed to create OpenCL " |
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"command queue: %d.\n", cle); |
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err = AVERROR(EIO); |
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goto fail; |
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} |
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ctx->kernel = clCreateKernel(ctx->ocf.program, "convolution_global", &cle); |
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if (!ctx->kernel) { |
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av_log(avctx, AV_LOG_ERROR, "Failed to create kernel: %d.\n", cle); |
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err = AVERROR(EIO); |
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goto fail; |
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} |
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ctx->initialised = 1; |
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return 0; |
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fail: |
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if (ctx->command_queue) |
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clReleaseCommandQueue(ctx->command_queue); |
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if (ctx->kernel) |
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clReleaseKernel(ctx->kernel); |
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return err; |
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} |
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static int convolution_opencl_make_filter_params(AVFilterContext *avctx) |
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{ |
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ConvolutionOpenCLContext *ctx = avctx->priv; |
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float *matrix = NULL; |
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size_t matrix_bytes; |
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cl_mem buffer; |
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cl_int cle; |
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int i, j; |
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int sscanf_err; |
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char *p, *arg, *saveptr = NULL; |
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float input_matrix[4][49]; |
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for (i = 0; i < 4; i++) { |
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ctx->biases[i] = ctx->biases[i] / 255.0; |
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} |
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for (i = 0; i < 4; i++) { |
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p = ctx->matrix_str[i]; |
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while (ctx->matrix_sizes[i] < 49) { |
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arg = av_strtok(p, " ", &saveptr); |
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if (!arg) { |
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break; |
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} |
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p = NULL; |
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sscanf_err = sscanf(arg, "%f", &input_matrix[i][ctx->matrix_sizes[i]]); |
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if (sscanf_err != 1) { |
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av_log(ctx, AV_LOG_ERROR, "Matrix is sequence of 9, 25 or 49 signed numbers\n"); |
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return AVERROR(EINVAL); |
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} |
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ctx->matrix_sizes[i]++; |
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} |
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if (ctx->matrix_sizes[i] == 9) { |
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ctx->dims[i] = 3; |
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} else if (ctx->matrix_sizes[i] == 25) { |
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ctx->dims[i] = 5; |
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} else if (ctx->matrix_sizes[i] == 49) { |
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ctx->dims[i] = 7; |
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} else { |
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av_log(ctx, AV_LOG_ERROR, "Invalid matrix size:%d\n", ctx->matrix_sizes[i]); |
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return AVERROR(EINVAL); |
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} |
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} |
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for (j = 0; j < 4; j++) { |
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matrix_bytes = sizeof(float)*ctx->matrix_sizes[j]; |
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matrix = av_malloc(matrix_bytes); |
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if (!matrix) { |
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av_freep(&matrix); |
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return AVERROR(ENOMEM); |
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} |
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for (i = 0; i < ctx->matrix_sizes[j]; i++) |
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matrix[i] = input_matrix[j][i]; |
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buffer = clCreateBuffer(ctx->ocf.hwctx->context, |
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CL_MEM_READ_ONLY | |
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CL_MEM_COPY_HOST_PTR | |
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CL_MEM_HOST_NO_ACCESS, |
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matrix_bytes, matrix, &cle); |
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if (!buffer) { |
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av_log(avctx, AV_LOG_ERROR, "Failed to create matrix buffer: " |
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"%d.\n", cle); |
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av_freep(&matrix); |
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return AVERROR(EIO); |
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} |
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ctx->matrix[j] = buffer; |
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av_freep(&matrix); |
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} |
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return 0; |
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} |
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static int convolution_opencl_filter_frame(AVFilterLink *inlink, AVFrame *input) |
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{ |
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AVFilterContext *avctx = inlink->dst; |
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AVFilterLink *outlink = avctx->outputs[0]; |
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ConvolutionOpenCLContext *ctx = avctx->priv; |
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AVFrame *output = NULL; |
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cl_int cle; |
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size_t global_work[2]; |
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cl_mem src, dst; |
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int err, p; |
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av_log(ctx, AV_LOG_DEBUG, "Filter input: %s, %ux%u (%"PRId64").\n", |
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av_get_pix_fmt_name(input->format), |
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input->width, input->height, input->pts); |
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if (!input->hw_frames_ctx) |
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return AVERROR(EINVAL); |
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if (!ctx->initialised) { |
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err = convolution_opencl_init(avctx); |
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if (err < 0) |
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goto fail; |
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err = convolution_opencl_make_filter_params(avctx); |
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if (err < 0) |
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goto fail; |
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} |
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output = ff_get_video_buffer(outlink, outlink->w, outlink->h); |
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if (!output) { |
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err = AVERROR(ENOMEM); |
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goto fail; |
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} |
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for (p = 0; p < FF_ARRAY_ELEMS(output->data); p++) { |
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src = (cl_mem) input->data[p]; |
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dst = (cl_mem)output->data[p]; |
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if (!dst) |
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break; |
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cle = clSetKernelArg(ctx->kernel, 0, sizeof(cl_mem), &dst); |
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if (cle != CL_SUCCESS) { |
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av_log(avctx, AV_LOG_ERROR, "Failed to set kernel " |
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"destination image argument: %d.\n", cle); |
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goto fail; |
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} |
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cle = clSetKernelArg(ctx->kernel, 1, sizeof(cl_mem), &src); |
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if (cle != CL_SUCCESS) { |
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av_log(avctx, AV_LOG_ERROR, "Failed to set kernel " |
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"source image argument: %d.\n", cle); |
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goto fail; |
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} |
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cle = clSetKernelArg(ctx->kernel, 2, sizeof(cl_int), &ctx->dims[p]); |
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if (cle != CL_SUCCESS) { |
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av_log(avctx, AV_LOG_ERROR, "Failed to set kernel " |
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"matrix size argument: %d.\n", cle); |
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goto fail; |
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} |
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cle = clSetKernelArg(ctx->kernel, 3, sizeof(cl_mem), &ctx->matrix[p]); |
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if (cle != CL_SUCCESS) { |
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av_log(avctx, AV_LOG_ERROR, "Failed to set kernel " |
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"matrix argument: %d.\n", cle); |
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goto fail; |
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} |
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cle = clSetKernelArg(ctx->kernel, 4, sizeof(cl_float), &ctx->rdivs[p]); |
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if (cle != CL_SUCCESS) { |
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av_log(avctx, AV_LOG_ERROR, "Failed to set kernel " |
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"rdiv argument: %d.\n", cle); |
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goto fail; |
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} |
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cle = clSetKernelArg(ctx->kernel, 5, sizeof(cl_float), &ctx->biases[p]); |
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if (cle != CL_SUCCESS) { |
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av_log(avctx, AV_LOG_ERROR, "Failed to set kernel " |
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"bias argument: %d.\n", cle); |
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goto fail; |
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} |
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err = ff_opencl_filter_work_size_from_image(avctx, global_work, output, p, 0); |
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if (err < 0) |
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goto fail; |
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av_log(avctx, AV_LOG_DEBUG, "Run kernel on plane %d " |
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"(%"SIZE_SPECIFIER"x%"SIZE_SPECIFIER").\n", |
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p, global_work[0], global_work[1]); |
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cle = clEnqueueNDRangeKernel(ctx->command_queue, ctx->kernel, 2, NULL, |
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global_work, NULL, |
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0, NULL, NULL); |
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if (cle != CL_SUCCESS) { |
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av_log(avctx, AV_LOG_ERROR, "Failed to enqueue kernel: %d.\n", |
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cle); |
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err = AVERROR(EIO); |
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goto fail; |
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} |
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} |
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cle = clFinish(ctx->command_queue); |
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if (cle != CL_SUCCESS) { |
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av_log(avctx, AV_LOG_ERROR, "Failed to finish command queue: %d.\n", |
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cle); |
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err = AVERROR(EIO); |
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goto fail; |
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} |
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err = av_frame_copy_props(output, input); |
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if (err < 0) |
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goto fail; |
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av_frame_free(&input); |
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av_log(ctx, AV_LOG_DEBUG, "Filter output: %s, %ux%u (%"PRId64").\n", |
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av_get_pix_fmt_name(output->format), |
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output->width, output->height, output->pts); |
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return ff_filter_frame(outlink, output); |
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fail: |
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clFinish(ctx->command_queue); |
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av_frame_free(&input); |
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av_frame_free(&output); |
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return err; |
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} |
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static av_cold void convolution_opencl_uninit(AVFilterContext *avctx) |
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{ |
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ConvolutionOpenCLContext *ctx = avctx->priv; |
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cl_int cle; |
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int i; |
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for (i = 0; i < 4; i++) { |
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clReleaseMemObject(ctx->matrix[i]); |
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} |
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if (ctx->kernel) { |
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cle = clReleaseKernel(ctx->kernel); |
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if (cle != CL_SUCCESS) |
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av_log(avctx, AV_LOG_ERROR, "Failed to release " |
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"kernel: %d.\n", cle); |
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} |
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if (ctx->command_queue) { |
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cle = clReleaseCommandQueue(ctx->command_queue); |
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if (cle != CL_SUCCESS) |
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av_log(avctx, AV_LOG_ERROR, "Failed to release " |
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"command queue: %d.\n", cle); |
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} |
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ff_opencl_filter_uninit(avctx); |
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} |
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#define OFFSET(x) offsetof(ConvolutionOpenCLContext, x) |
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#define FLAGS (AV_OPT_FLAG_FILTERING_PARAM | AV_OPT_FLAG_VIDEO_PARAM) |
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static const AVOption convolution_opencl_options[] = { |
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{ "0m", "set matrix for 2nd plane", OFFSET(matrix_str[0]), AV_OPT_TYPE_STRING, {.str="0 0 0 0 1 0 0 0 0"}, 0, 0, FLAGS }, |
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{ "1m", "set matrix for 2nd plane", OFFSET(matrix_str[1]), AV_OPT_TYPE_STRING, {.str="0 0 0 0 1 0 0 0 0"}, 0, 0, FLAGS }, |
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{ "2m", "set matrix for 3rd plane", OFFSET(matrix_str[2]), AV_OPT_TYPE_STRING, {.str="0 0 0 0 1 0 0 0 0"}, 0, 0, FLAGS }, |
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{ "3m", "set matrix for 4th plane", OFFSET(matrix_str[3]), AV_OPT_TYPE_STRING, {.str="0 0 0 0 1 0 0 0 0"}, 0, 0, FLAGS }, |
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{ "0rdiv", "set rdiv for 1nd plane", OFFSET(rdivs[0]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS}, |
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{ "1rdiv", "set rdiv for 2nd plane", OFFSET(rdivs[1]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS}, |
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{ "2rdiv", "set rdiv for 3rd plane", OFFSET(rdivs[2]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS}, |
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{ "3rdiv", "set rdiv for 4th plane", OFFSET(rdivs[3]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS}, |
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{ "0bias", "set bias for 1st plane", OFFSET(biases[0]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS}, |
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{ "1bias", "set bias for 2nd plane", OFFSET(biases[1]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS}, |
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{ "2bias", "set bias for 3rd plane", OFFSET(biases[2]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS}, |
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{ "3bias", "set bias for 4th plane", OFFSET(biases[3]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS}, |
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{ NULL } |
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}; |
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AVFILTER_DEFINE_CLASS(convolution_opencl); |
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static const AVFilterPad convolution_opencl_inputs[] = { |
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{ |
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.name = "default", |
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.type = AVMEDIA_TYPE_VIDEO, |
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.filter_frame = &convolution_opencl_filter_frame, |
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.config_props = &ff_opencl_filter_config_input, |
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}, |
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{ NULL } |
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}; |
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static const AVFilterPad convolution_opencl_outputs[] = { |
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{ |
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.name = "default", |
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.type = AVMEDIA_TYPE_VIDEO, |
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.config_props = &ff_opencl_filter_config_output, |
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}, |
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{ NULL } |
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}; |
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AVFilter ff_vf_convolution_opencl = { |
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.name = "convolution_opencl", |
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.description = NULL_IF_CONFIG_SMALL("Apply convolution mask to input video"), |
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.priv_size = sizeof(ConvolutionOpenCLContext), |
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.priv_class = &convolution_opencl_class, |
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.init = &ff_opencl_filter_init, |
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.uninit = &convolution_opencl_uninit, |
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.query_formats = &ff_opencl_filter_query_formats, |
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.inputs = convolution_opencl_inputs, |
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.outputs = convolution_opencl_outputs, |
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.flags_internal = FF_FILTER_FLAG_HWFRAME_AWARE, |
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}; |
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