From 9f17875134754eef899aefd30500904635edec9e Mon Sep 17 00:00:00 2001 From: Danil Iashchenko Date: Sat, 24 Mar 2018 18:57:43 +0300 Subject: libavfilter: Add OpenCL convolution filter Behaves like existing convolution filter. Signed-off-by: Mark Thompson --- libavfilter/vf_convolution_opencl.c | 368 ++++++++++++++++++++++++++++++++++++ 1 file changed, 368 insertions(+) create mode 100644 libavfilter/vf_convolution_opencl.c (limited to 'libavfilter/vf_convolution_opencl.c') diff --git a/libavfilter/vf_convolution_opencl.c b/libavfilter/vf_convolution_opencl.c new file mode 100644 index 0000000..2df51e0 --- /dev/null +++ b/libavfilter/vf_convolution_opencl.c @@ -0,0 +1,368 @@ +/* + * Copyright (c) 2018 Danil Iashchenko + * + * 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 "libavutil/common.h" +#include "libavutil/imgutils.h" +#include "libavutil/mem.h" +#include "libavutil/opt.h" +#include "libavutil/pixdesc.h" +#include "libavutil/avstring.h" + + +#include "avfilter.h" +#include "internal.h" +#include "opencl.h" +#include "opencl_source.h" +#include "video.h" + +typedef struct ConvolutionOpenCLContext { + OpenCLFilterContext ocf; + + int initialised; + cl_kernel kernel; + cl_command_queue command_queue; + + char *matrix_str[4]; + + cl_mem matrix[4]; + cl_int matrix_sizes[4]; + cl_int dims[4]; + cl_float rdivs[4]; + cl_float biases[4]; + +} ConvolutionOpenCLContext; + + +static int convolution_opencl_init(AVFilterContext *avctx) +{ + ConvolutionOpenCLContext *ctx = avctx->priv; + cl_int cle; + int err; + + err = ff_opencl_filter_load_program(avctx, &ff_opencl_source_convolution, 1); + if (err < 0) + goto fail; + + ctx->command_queue = clCreateCommandQueue(ctx->ocf.hwctx->context, + ctx->ocf.hwctx->device_id, + 0, &cle); + if (!ctx->command_queue) { + av_log(avctx, AV_LOG_ERROR, "Failed to create OpenCL " + "command queue: %d.\n", cle); + err = AVERROR(EIO); + goto fail; + } + + ctx->kernel = clCreateKernel(ctx->ocf.program, "convolution_global", &cle); + if (!ctx->kernel) { + av_log(avctx, AV_LOG_ERROR, "Failed to create kernel: %d.\n", cle); + err = AVERROR(EIO); + goto fail; + } + + ctx->initialised = 1; + return 0; + +fail: + if (ctx->command_queue) + clReleaseCommandQueue(ctx->command_queue); + if (ctx->kernel) + clReleaseKernel(ctx->kernel); + return err; +} + + + +static int convolution_opencl_make_filter_params(AVFilterContext *avctx) +{ + ConvolutionOpenCLContext *ctx = avctx->priv; + float *matrix = NULL; + size_t matrix_bytes; + cl_mem buffer; + cl_int cle; + int i, j; + int sscanf_err; + char *p, *arg, *saveptr = NULL; + float input_matrix[4][49]; + + for (i = 0; i < 4; i++) { + ctx->biases[i] = ctx->biases[i] / 255.0; + } + + for (i = 0; i < 4; i++) { + p = ctx->matrix_str[i]; + while (ctx->matrix_sizes[i] < 49) { + arg = av_strtok(p, " ", &saveptr); + if (!arg) { + break; + } + p = NULL; + sscanf_err = sscanf(arg, "%f", &input_matrix[i][ctx->matrix_sizes[i]]); + if (sscanf_err != 1) { + av_log(ctx, AV_LOG_ERROR, "Matrix is sequence of 9, 25 or 49 signed numbers\n"); + return AVERROR(EINVAL); + } + ctx->matrix_sizes[i]++; + } + if (ctx->matrix_sizes[i] == 9) { + ctx->dims[i] = 3; + } else if (ctx->matrix_sizes[i] == 25) { + ctx->dims[i] = 5; + } else if (ctx->matrix_sizes[i] == 49) { + ctx->dims[i] = 7; + } else { + av_log(ctx, AV_LOG_ERROR, "Invalid matrix size:%d\n", ctx->matrix_sizes[i]); + return AVERROR(EINVAL); + } + + } + + for (j = 0; j < 4; j++) { + matrix_bytes = sizeof(float)*ctx->matrix_sizes[j]; + matrix = av_malloc(matrix_bytes); + if (!matrix) { + av_freep(&matrix); + return AVERROR(ENOMEM); + } + + for (i = 0; i < ctx->matrix_sizes[j]; i++) + matrix[i] = input_matrix[j][i]; + + buffer = clCreateBuffer(ctx->ocf.hwctx->context, + CL_MEM_READ_ONLY | + CL_MEM_COPY_HOST_PTR | + CL_MEM_HOST_NO_ACCESS, + matrix_bytes, matrix, &cle); + if (!buffer) { + av_log(avctx, AV_LOG_ERROR, "Failed to create matrix buffer: " + "%d.\n", cle); + av_freep(&matrix); + return AVERROR(EIO); + } + ctx->matrix[j] = buffer; + av_freep(&matrix); + } + + return 0; +} + +static int convolution_opencl_filter_frame(AVFilterLink *inlink, AVFrame *input) +{ + AVFilterContext *avctx = inlink->dst; + AVFilterLink *outlink = avctx->outputs[0]; + ConvolutionOpenCLContext *ctx = avctx->priv; + AVFrame *output = NULL; + cl_int cle; + size_t global_work[2]; + cl_mem src, dst; + int err, p; + + av_log(ctx, AV_LOG_DEBUG, "Filter input: %s, %ux%u (%"PRId64").\n", + av_get_pix_fmt_name(input->format), + input->width, input->height, input->pts); + + if (!input->hw_frames_ctx) + return AVERROR(EINVAL); + + if (!ctx->initialised) { + err = convolution_opencl_init(avctx); + if (err < 0) + goto fail; + + err = convolution_opencl_make_filter_params(avctx); + if (err < 0) + goto fail; + } + + output = ff_get_video_buffer(outlink, outlink->w, outlink->h); + if (!output) { + err = AVERROR(ENOMEM); + goto fail; + } + + for (p = 0; p < FF_ARRAY_ELEMS(output->data); p++) { + src = (cl_mem) input->data[p]; + dst = (cl_mem)output->data[p]; + + if (!dst) + break; + + cle = clSetKernelArg(ctx->kernel, 0, sizeof(cl_mem), &dst); + if (cle != CL_SUCCESS) { + av_log(avctx, AV_LOG_ERROR, "Failed to set kernel " + "destination image argument: %d.\n", cle); + goto fail; + } + cle = clSetKernelArg(ctx->kernel, 1, sizeof(cl_mem), &src); + if (cle != CL_SUCCESS) { + av_log(avctx, AV_LOG_ERROR, "Failed to set kernel " + "source image argument: %d.\n", cle); + goto fail; + } + cle = clSetKernelArg(ctx->kernel, 2, sizeof(cl_int), &ctx->dims[p]); + if (cle != CL_SUCCESS) { + av_log(avctx, AV_LOG_ERROR, "Failed to set kernel " + "matrix size argument: %d.\n", cle); + goto fail; + } + cle = clSetKernelArg(ctx->kernel, 3, sizeof(cl_mem), &ctx->matrix[p]); + if (cle != CL_SUCCESS) { + av_log(avctx, AV_LOG_ERROR, "Failed to set kernel " + "matrix argument: %d.\n", cle); + goto fail; + } + cle = clSetKernelArg(ctx->kernel, 4, sizeof(cl_float), &ctx->rdivs[p]); + if (cle != CL_SUCCESS) { + av_log(avctx, AV_LOG_ERROR, "Failed to set kernel " + "rdiv argument: %d.\n", cle); + goto fail; + } + cle = clSetKernelArg(ctx->kernel, 5, sizeof(cl_float), &ctx->biases[p]); + if (cle != CL_SUCCESS) { + av_log(avctx, AV_LOG_ERROR, "Failed to set kernel " + "bias argument: %d.\n", cle); + goto fail; + } + + + err = ff_opencl_filter_work_size_from_image(avctx, global_work, output, p, 0); + if (err < 0) + goto fail; + + av_log(avctx, AV_LOG_DEBUG, "Run kernel on plane %d " + "(%"SIZE_SPECIFIER"x%"SIZE_SPECIFIER").\n", + p, global_work[0], global_work[1]); + + cle = clEnqueueNDRangeKernel(ctx->command_queue, ctx->kernel, 2, NULL, + global_work, NULL, + 0, NULL, NULL); + if (cle != CL_SUCCESS) { + av_log(avctx, AV_LOG_ERROR, "Failed to enqueue kernel: %d.\n", + cle); + err = AVERROR(EIO); + goto fail; + } + } + + cle = clFinish(ctx->command_queue); + if (cle != CL_SUCCESS) { + av_log(avctx, AV_LOG_ERROR, "Failed to finish command queue: %d.\n", + cle); + err = AVERROR(EIO); + goto fail; + } + + err = av_frame_copy_props(output, input); + if (err < 0) + goto fail; + + av_frame_free(&input); + + av_log(ctx, AV_LOG_DEBUG, "Filter output: %s, %ux%u (%"PRId64").\n", + av_get_pix_fmt_name(output->format), + output->width, output->height, output->pts); + + return ff_filter_frame(outlink, output); + +fail: + clFinish(ctx->command_queue); + av_frame_free(&input); + av_frame_free(&output); + return err; +} + +static av_cold void convolution_opencl_uninit(AVFilterContext *avctx) +{ + ConvolutionOpenCLContext *ctx = avctx->priv; + cl_int cle; + int i; + + for (i = 0; i < 4; i++) { + clReleaseMemObject(ctx->matrix[i]); + } + + if (ctx->kernel) { + cle = clReleaseKernel(ctx->kernel); + if (cle != CL_SUCCESS) + av_log(avctx, AV_LOG_ERROR, "Failed to release " + "kernel: %d.\n", cle); + } + + if (ctx->command_queue) { + cle = clReleaseCommandQueue(ctx->command_queue); + if (cle != CL_SUCCESS) + av_log(avctx, AV_LOG_ERROR, "Failed to release " + "command queue: %d.\n", cle); + } + + ff_opencl_filter_uninit(avctx); +} + +#define OFFSET(x) offsetof(ConvolutionOpenCLContext, x) +#define FLAGS (AV_OPT_FLAG_FILTERING_PARAM | AV_OPT_FLAG_VIDEO_PARAM) +static const AVOption convolution_opencl_options[] = { + { "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 }, + { "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 }, + { "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 }, + { "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 }, + { "0rdiv", "set rdiv for 1nd plane", OFFSET(rdivs[0]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS}, + { "1rdiv", "set rdiv for 2nd plane", OFFSET(rdivs[1]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS}, + { "2rdiv", "set rdiv for 3rd plane", OFFSET(rdivs[2]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS}, + { "3rdiv", "set rdiv for 4th plane", OFFSET(rdivs[3]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS}, + { "0bias", "set bias for 1st plane", OFFSET(biases[0]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS}, + { "1bias", "set bias for 2nd plane", OFFSET(biases[1]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS}, + { "2bias", "set bias for 3rd plane", OFFSET(biases[2]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS}, + { "3bias", "set bias for 4th plane", OFFSET(biases[3]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS}, + { NULL } +}; + +AVFILTER_DEFINE_CLASS(convolution_opencl); + +static const AVFilterPad convolution_opencl_inputs[] = { + { + .name = "default", + .type = AVMEDIA_TYPE_VIDEO, + .filter_frame = &convolution_opencl_filter_frame, + .config_props = &ff_opencl_filter_config_input, + }, + { NULL } +}; + +static const AVFilterPad convolution_opencl_outputs[] = { + { + .name = "default", + .type = AVMEDIA_TYPE_VIDEO, + .config_props = &ff_opencl_filter_config_output, + }, + { NULL } +}; + +AVFilter ff_vf_convolution_opencl = { + .name = "convolution_opencl", + .description = NULL_IF_CONFIG_SMALL("Apply convolution mask to input video"), + .priv_size = sizeof(ConvolutionOpenCLContext), + .priv_class = &convolution_opencl_class, + .init = &ff_opencl_filter_init, + .uninit = &convolution_opencl_uninit, + .query_formats = &ff_opencl_filter_query_formats, + .inputs = convolution_opencl_inputs, + .outputs = convolution_opencl_outputs, + .flags_internal = FF_FILTER_FLAG_HWFRAME_AWARE, +}; -- cgit v1.1