| /* |
| * 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 "dnn_filter_common.h" |
| #include "libavutil/avstring.h" |
| #include "libavutil/mem.h" |
| #include "libavutil/opt.h" |
| |
| #define MAX_SUPPORTED_OUTPUTS_NB 4 |
| |
| static char **separate_output_names(const char *expr, const char *val_sep, int *separated_nb) |
| { |
| char *val, **parsed_vals = NULL; |
| int val_num = 0; |
| if (!expr || !val_sep || !separated_nb) { |
| return NULL; |
| } |
| |
| parsed_vals = av_calloc(MAX_SUPPORTED_OUTPUTS_NB, sizeof(*parsed_vals)); |
| if (!parsed_vals) { |
| return NULL; |
| } |
| |
| do { |
| val = av_get_token(&expr, val_sep); |
| if(val) { |
| parsed_vals[val_num] = val; |
| val_num++; |
| } |
| if (*expr) { |
| expr++; |
| } |
| } while(*expr); |
| |
| parsed_vals[val_num] = NULL; |
| *separated_nb = val_num; |
| |
| return parsed_vals; |
| } |
| |
| typedef struct DnnFilterBase { |
| const AVClass *class; |
| DnnContext dnnctx; |
| } DnnFilterBase; |
| |
| int ff_dnn_filter_init_child_class(AVFilterContext *filter) { |
| DnnFilterBase *base = filter->priv; |
| ff_dnn_init_child_class(&base->dnnctx); |
| return 0; |
| } |
| |
| void *ff_dnn_filter_child_next(void *obj, void *prev) |
| { |
| DnnFilterBase *base = obj; |
| return ff_dnn_child_next(&base->dnnctx, prev); |
| } |
| |
| int ff_dnn_init(DnnContext *ctx, DNNFunctionType func_type, AVFilterContext *filter_ctx) |
| { |
| DNNBackendType backend = ctx->backend_type; |
| |
| if (!ctx->model_filename) { |
| av_log(filter_ctx, AV_LOG_ERROR, "model file for network is not specified\n"); |
| return AVERROR(EINVAL); |
| } |
| |
| if (backend == DNN_TH) { |
| if (ctx->model_inputname) |
| av_log(filter_ctx, AV_LOG_WARNING, "LibTorch backend do not require inputname, "\ |
| "inputname will be ignored.\n"); |
| if (ctx->model_outputnames) |
| av_log(filter_ctx, AV_LOG_WARNING, "LibTorch backend do not require outputname(s), "\ |
| "all outputname(s) will be ignored.\n"); |
| ctx->nb_outputs = 1; |
| } else if (backend == DNN_TF) { |
| if (!ctx->model_inputname) { |
| av_log(filter_ctx, AV_LOG_ERROR, "input name of the model network is not specified\n"); |
| return AVERROR(EINVAL); |
| } |
| ctx->model_outputnames = separate_output_names(ctx->model_outputnames_string, "&", &ctx->nb_outputs); |
| if (!ctx->model_outputnames) { |
| av_log(filter_ctx, AV_LOG_ERROR, "could not parse model output names\n"); |
| return AVERROR(EINVAL); |
| } |
| } |
| |
| ctx->dnn_module = ff_get_dnn_module(ctx->backend_type, filter_ctx); |
| if (!ctx->dnn_module) { |
| av_log(filter_ctx, AV_LOG_ERROR, "could not create DNN module for requested backend\n"); |
| return AVERROR(ENOMEM); |
| } |
| if (!ctx->dnn_module->load_model) { |
| av_log(filter_ctx, AV_LOG_ERROR, "load_model for network is not specified\n"); |
| return AVERROR(EINVAL); |
| } |
| |
| if (ctx->backend_options) { |
| void *child = NULL; |
| |
| av_log(filter_ctx, AV_LOG_WARNING, |
| "backend_configs is deprecated, please set backend options directly\n"); |
| while (child = ff_dnn_child_next(ctx, child)) { |
| if (*(const AVClass **)child == &ctx->dnn_module->clazz) { |
| int ret = av_opt_set_from_string(child, ctx->backend_options, |
| NULL, "=", "&"); |
| if (ret < 0) { |
| av_log(filter_ctx, AV_LOG_ERROR, "failed to parse options \"%s\"\n", |
| ctx->backend_options); |
| return ret; |
| } |
| } |
| } |
| } |
| |
| ctx->model = (ctx->dnn_module->load_model)(ctx, func_type, filter_ctx); |
| if (!ctx->model) { |
| av_log(filter_ctx, AV_LOG_ERROR, "could not load DNN model\n"); |
| return AVERROR(EINVAL); |
| } |
| |
| return 0; |
| } |
| |
| int ff_dnn_set_frame_proc(DnnContext *ctx, FramePrePostProc pre_proc, FramePrePostProc post_proc) |
| { |
| ctx->model->frame_pre_proc = pre_proc; |
| ctx->model->frame_post_proc = post_proc; |
| return 0; |
| } |
| |
| int ff_dnn_set_detect_post_proc(DnnContext *ctx, DetectPostProc post_proc) |
| { |
| ctx->model->detect_post_proc = post_proc; |
| return 0; |
| } |
| |
| int ff_dnn_set_classify_post_proc(DnnContext *ctx, ClassifyPostProc post_proc) |
| { |
| ctx->model->classify_post_proc = post_proc; |
| return 0; |
| } |
| |
| int ff_dnn_get_input(DnnContext *ctx, DNNData *input) |
| { |
| return ctx->model->get_input(ctx->model->model, input, ctx->model_inputname); |
| } |
| |
| int ff_dnn_get_output(DnnContext *ctx, int input_width, int input_height, int *output_width, int *output_height) |
| { |
| char * output_name = ctx->model_outputnames && ctx->backend_type != DNN_TH ? |
| ctx->model_outputnames[0] : NULL; |
| return ctx->model->get_output(ctx->model->model, ctx->model_inputname, input_width, input_height, |
| (const char *)output_name, output_width, output_height); |
| } |
| |
| int ff_dnn_execute_model(DnnContext *ctx, AVFrame *in_frame, AVFrame *out_frame) |
| { |
| DNNExecBaseParams exec_params = { |
| .input_name = ctx->model_inputname, |
| .output_names = (const char **)ctx->model_outputnames, |
| .nb_output = ctx->nb_outputs, |
| .in_frame = in_frame, |
| .out_frame = out_frame, |
| }; |
| return (ctx->dnn_module->execute_model)(ctx->model, &exec_params); |
| } |
| |
| int ff_dnn_execute_model_classification(DnnContext *ctx, AVFrame *in_frame, AVFrame *out_frame, const char *target) |
| { |
| DNNExecClassificationParams class_params = { |
| { |
| .input_name = ctx->model_inputname, |
| .output_names = (const char **)ctx->model_outputnames, |
| .nb_output = ctx->nb_outputs, |
| .in_frame = in_frame, |
| .out_frame = out_frame, |
| }, |
| .target = target, |
| }; |
| return (ctx->dnn_module->execute_model)(ctx->model, &class_params.base); |
| } |
| |
| DNNAsyncStatusType ff_dnn_get_result(DnnContext *ctx, AVFrame **in_frame, AVFrame **out_frame) |
| { |
| return (ctx->dnn_module->get_result)(ctx->model, in_frame, out_frame); |
| } |
| |
| int ff_dnn_flush(DnnContext *ctx) |
| { |
| return (ctx->dnn_module->flush)(ctx->model); |
| } |
| |
| void ff_dnn_uninit(DnnContext *ctx) |
| { |
| if (ctx->dnn_module) { |
| (ctx->dnn_module->free_model)(&ctx->model); |
| } |
| if (ctx->model_outputnames) { |
| for (int i = 0; i < ctx->nb_outputs; i++) |
| av_free(ctx->model_outputnames[i]); |
| |
| av_freep(&ctx->model_outputnames); |
| } |
| } |