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