mirror of https://git.ffmpeg.org/ffmpeg.git
461 lines
16 KiB
C
461 lines
16 KiB
C
/*
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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 "config_components.h"
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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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cl_int planes;
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cl_float scale;
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cl_float delta;
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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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const char *kernel_name;
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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_source_convolution_cl, 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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CL_FAIL_ON_ERROR(AVERROR(EIO), "Failed to create OpenCL "
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"command queue %d.\n", cle);
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if (!strcmp(avctx->filter->name, "convolution_opencl")) {
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kernel_name = "convolution_global";
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} else if (!strcmp(avctx->filter->name, "sobel_opencl")) {
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kernel_name = "sobel_global";
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} else if (!strcmp(avctx->filter->name, "prewitt_opencl")){
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kernel_name = "prewitt_global";
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} else if (!strcmp(avctx->filter->name, "roberts_opencl")){
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kernel_name = "roberts_global";
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}
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ctx->kernel = clCreateKernel(ctx->ocf.program, kernel_name, &cle);
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CL_FAIL_ON_ERROR(AVERROR(EIO), "Failed to create "
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"kernel %d.\n", cle);
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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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size_t origin[3] = {0, 0, 0};
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size_t region[3] = {0, 0, 1};
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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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if (!strcmp(avctx->filter->name, "convolution_opencl")) {
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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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} else {
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ctx->delta /= 255.0;
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}
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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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if (!strcmp(avctx->filter->name, "convolution_opencl")) {
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CL_SET_KERNEL_ARG(ctx->kernel, 0, cl_mem, &dst);
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CL_SET_KERNEL_ARG(ctx->kernel, 1, cl_mem, &src);
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CL_SET_KERNEL_ARG(ctx->kernel, 2, cl_int, &ctx->dims[p]);
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CL_SET_KERNEL_ARG(ctx->kernel, 3, cl_mem, &ctx->matrix[p]);
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CL_SET_KERNEL_ARG(ctx->kernel, 4, cl_float, &ctx->rdivs[p]);
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CL_SET_KERNEL_ARG(ctx->kernel, 5, cl_float, &ctx->biases[p]);
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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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CL_FAIL_ON_ERROR(AVERROR(EIO), "Failed to enqueue "
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"kernel: %d.\n", cle);
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} else {
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if (!(ctx->planes & (1 << p))) {
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err = ff_opencl_filter_work_size_from_image(avctx, region, output, p, 0);
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if (err < 0)
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goto fail;
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cle = clEnqueueCopyImage(ctx->command_queue, src, dst,
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origin, origin, region, 0, NULL, NULL);
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CL_FAIL_ON_ERROR(AVERROR(EIO), "Failed to copy plane %d: %d.\n",
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p, cle);
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} else {
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CL_SET_KERNEL_ARG(ctx->kernel, 0, cl_mem, &dst);
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CL_SET_KERNEL_ARG(ctx->kernel, 1, cl_mem, &src);
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CL_SET_KERNEL_ARG(ctx->kernel, 2, cl_float, &ctx->scale);
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CL_SET_KERNEL_ARG(ctx->kernel, 3, cl_float, &ctx->delta);
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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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CL_FAIL_ON_ERROR(AVERROR(EIO), "Failed to enqueue "
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"kernel: %d.\n", cle);
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}
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}
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}
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cle = clFinish(ctx->command_queue);
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CL_FAIL_ON_ERROR(AVERROR(EIO), "Failed to finish command queue: %d.\n", cle);
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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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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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};
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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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};
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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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#if CONFIG_CONVOLUTION_OPENCL_FILTER
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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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const 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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FILTER_INPUTS(convolution_opencl_inputs),
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FILTER_OUTPUTS(convolution_opencl_outputs),
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FILTER_SINGLE_PIXFMT(AV_PIX_FMT_OPENCL),
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.flags_internal = FF_FILTER_FLAG_HWFRAME_AWARE,
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.flags = AVFILTER_FLAG_HWDEVICE,
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};
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#endif /* CONFIG_CONVOLUTION_OPENCL_FILTER */
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#if CONFIG_SOBEL_OPENCL_FILTER
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static const AVOption sobel_opencl_options[] = {
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{ "planes", "set planes to filter", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=15}, 0, 15, FLAGS},
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{ "scale", "set scale", OFFSET(scale), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, 65535, FLAGS},
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{ "delta", "set delta", OFFSET(delta), AV_OPT_TYPE_FLOAT, {.dbl=0}, -65535, 65535, FLAGS},
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{ NULL }
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};
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AVFILTER_DEFINE_CLASS(sobel_opencl);
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const AVFilter ff_vf_sobel_opencl = {
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.name = "sobel_opencl",
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.description = NULL_IF_CONFIG_SMALL("Apply sobel operator"),
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.priv_size = sizeof(ConvolutionOpenCLContext),
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.priv_class = &sobel_opencl_class,
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.init = &ff_opencl_filter_init,
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.uninit = &convolution_opencl_uninit,
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FILTER_INPUTS(convolution_opencl_inputs),
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FILTER_OUTPUTS(convolution_opencl_outputs),
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FILTER_SINGLE_PIXFMT(AV_PIX_FMT_OPENCL),
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.flags_internal = FF_FILTER_FLAG_HWFRAME_AWARE,
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.flags = AVFILTER_FLAG_HWDEVICE,
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};
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#endif /* CONFIG_SOBEL_OPENCL_FILTER */
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#if CONFIG_PREWITT_OPENCL_FILTER
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static const AVOption prewitt_opencl_options[] = {
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{ "planes", "set planes to filter", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=15}, 0, 15, FLAGS},
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{ "scale", "set scale", OFFSET(scale), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, 65535, FLAGS},
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{ "delta", "set delta", OFFSET(delta), AV_OPT_TYPE_FLOAT, {.dbl=0}, -65535, 65535, FLAGS},
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{ NULL }
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};
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AVFILTER_DEFINE_CLASS(prewitt_opencl);
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const AVFilter ff_vf_prewitt_opencl = {
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.name = "prewitt_opencl",
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.description = NULL_IF_CONFIG_SMALL("Apply prewitt operator"),
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.priv_size = sizeof(ConvolutionOpenCLContext),
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.priv_class = &prewitt_opencl_class,
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.init = &ff_opencl_filter_init,
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.uninit = &convolution_opencl_uninit,
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FILTER_INPUTS(convolution_opencl_inputs),
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FILTER_OUTPUTS(convolution_opencl_outputs),
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FILTER_SINGLE_PIXFMT(AV_PIX_FMT_OPENCL),
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.flags_internal = FF_FILTER_FLAG_HWFRAME_AWARE,
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.flags = AVFILTER_FLAG_HWDEVICE,
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};
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#endif /* CONFIG_PREWITT_OPENCL_FILTER */
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#if CONFIG_ROBERTS_OPENCL_FILTER
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static const AVOption roberts_opencl_options[] = {
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{ "planes", "set planes to filter", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=15}, 0, 15, FLAGS},
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{ "scale", "set scale", OFFSET(scale), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, 65535, FLAGS},
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{ "delta", "set delta", OFFSET(delta), AV_OPT_TYPE_FLOAT, {.dbl=0}, -65535, 65535, FLAGS},
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{ NULL }
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};
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AVFILTER_DEFINE_CLASS(roberts_opencl);
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const AVFilter ff_vf_roberts_opencl = {
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.name = "roberts_opencl",
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.description = NULL_IF_CONFIG_SMALL("Apply roberts operator"),
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.priv_size = sizeof(ConvolutionOpenCLContext),
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.priv_class = &roberts_opencl_class,
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.init = &ff_opencl_filter_init,
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.uninit = &convolution_opencl_uninit,
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FILTER_INPUTS(convolution_opencl_inputs),
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FILTER_OUTPUTS(convolution_opencl_outputs),
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FILTER_SINGLE_PIXFMT(AV_PIX_FMT_OPENCL),
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.flags_internal = FF_FILTER_FLAG_HWFRAME_AWARE,
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.flags = AVFILTER_FLAG_HWDEVICE,
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};
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#endif /* CONFIG_ROBERTS_OPENCL_FILTER */
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