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https://github.com/FFmpeg/FFmpeg.git
synced 2024-11-21 10:55:51 +02:00
libavfilter: Prepare to handle specific error codes in DNN Filters
This commit prepares the filter side to handle specific error codes from the DNN backends instead of current DNN_ERROR. Signed-off-by: Shubhanshu Saxena <shubhanshu.e01@gmail.com>
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commit
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@ -106,18 +106,18 @@ int ff_dnn_set_classify_post_proc(DnnContext *ctx, ClassifyPostProc post_proc)
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return 0;
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}
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DNNReturnType ff_dnn_get_input(DnnContext *ctx, DNNData *input)
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int ff_dnn_get_input(DnnContext *ctx, DNNData *input)
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{
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return ctx->model->get_input(ctx->model->model, input, ctx->model_inputname);
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}
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DNNReturnType ff_dnn_get_output(DnnContext *ctx, int input_width, int input_height, int *output_width, int *output_height)
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int ff_dnn_get_output(DnnContext *ctx, int input_width, int input_height, int *output_width, int *output_height)
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{
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return ctx->model->get_output(ctx->model->model, ctx->model_inputname, input_width, input_height,
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(const char *)ctx->model_outputnames[0], output_width, output_height);
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}
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DNNReturnType ff_dnn_execute_model(DnnContext *ctx, AVFrame *in_frame, AVFrame *out_frame)
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int ff_dnn_execute_model(DnnContext *ctx, AVFrame *in_frame, AVFrame *out_frame)
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{
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DNNExecBaseParams exec_params = {
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.input_name = ctx->model_inputname,
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@ -129,7 +129,7 @@ DNNReturnType ff_dnn_execute_model(DnnContext *ctx, AVFrame *in_frame, AVFrame *
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return (ctx->dnn_module->execute_model)(ctx->model, &exec_params);
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}
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DNNReturnType ff_dnn_execute_model_classification(DnnContext *ctx, AVFrame *in_frame, AVFrame *out_frame, const char *target)
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int ff_dnn_execute_model_classification(DnnContext *ctx, AVFrame *in_frame, AVFrame *out_frame, const char *target)
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{
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DNNExecClassificationParams class_params = {
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{
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@ -149,7 +149,7 @@ DNNAsyncStatusType ff_dnn_get_result(DnnContext *ctx, AVFrame **in_frame, AVFram
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return (ctx->dnn_module->get_result)(ctx->model, in_frame, out_frame);
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}
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DNNReturnType ff_dnn_flush(DnnContext *ctx)
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int ff_dnn_flush(DnnContext *ctx)
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{
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return (ctx->dnn_module->flush)(ctx->model);
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}
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@ -53,12 +53,12 @@ int ff_dnn_init(DnnContext *ctx, DNNFunctionType func_type, AVFilterContext *fil
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int ff_dnn_set_frame_proc(DnnContext *ctx, FramePrePostProc pre_proc, FramePrePostProc post_proc);
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int ff_dnn_set_detect_post_proc(DnnContext *ctx, DetectPostProc post_proc);
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int ff_dnn_set_classify_post_proc(DnnContext *ctx, ClassifyPostProc post_proc);
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DNNReturnType ff_dnn_get_input(DnnContext *ctx, DNNData *input);
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DNNReturnType ff_dnn_get_output(DnnContext *ctx, int input_width, int input_height, int *output_width, int *output_height);
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DNNReturnType ff_dnn_execute_model(DnnContext *ctx, AVFrame *in_frame, AVFrame *out_frame);
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DNNReturnType ff_dnn_execute_model_classification(DnnContext *ctx, AVFrame *in_frame, AVFrame *out_frame, const char *target);
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int ff_dnn_get_input(DnnContext *ctx, DNNData *input);
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int ff_dnn_get_output(DnnContext *ctx, int input_width, int input_height, int *output_width, int *output_height);
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int ff_dnn_execute_model(DnnContext *ctx, AVFrame *in_frame, AVFrame *out_frame);
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int ff_dnn_execute_model_classification(DnnContext *ctx, AVFrame *in_frame, AVFrame *out_frame, const char *target);
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DNNAsyncStatusType ff_dnn_get_result(DnnContext *ctx, AVFrame **in_frame, AVFrame **out_frame);
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DNNReturnType ff_dnn_flush(DnnContext *ctx);
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int ff_dnn_flush(DnnContext *ctx);
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void ff_dnn_uninit(DnnContext *ctx);
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#endif
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@ -62,7 +62,7 @@ static int filter_frame(AVFilterLink *inlink, AVFrame *in)
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AVFilterContext *ctx = inlink->dst;
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AVFilterLink *outlink = ctx->outputs[0];
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DRContext *dr_context = ctx->priv;
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DNNReturnType dnn_result;
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int dnn_result;
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AVFrame *out;
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out = ff_get_video_buffer(outlink, outlink->w, outlink->h);
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@ -77,7 +77,7 @@ static int filter_frame(AVFilterLink *inlink, AVFrame *in)
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if (dnn_result != DNN_SUCCESS){
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av_log(ctx, AV_LOG_ERROR, "failed to execute model\n");
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av_frame_free(&in);
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return AVERROR(EIO);
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return dnn_result;
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}
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do {
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async_state = ff_dnn_get_result(&dr_context->dnnctx, &in, &out);
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@ -134,14 +134,14 @@ static int config_input(AVFilterLink *inlink)
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{
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AVFilterContext *context = inlink->dst;
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DnnProcessingContext *ctx = context->priv;
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DNNReturnType result;
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int result;
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DNNData model_input;
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int check;
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result = ff_dnn_get_input(&ctx->dnnctx, &model_input);
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if (result != DNN_SUCCESS) {
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av_log(ctx, AV_LOG_ERROR, "could not get input from the model\n");
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return AVERROR(EIO);
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return result;
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}
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check = check_modelinput_inlink(&model_input, inlink);
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@ -194,14 +194,14 @@ static int config_output(AVFilterLink *outlink)
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{
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AVFilterContext *context = outlink->src;
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DnnProcessingContext *ctx = context->priv;
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DNNReturnType result;
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int result;
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AVFilterLink *inlink = context->inputs[0];
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// have a try run in case that the dnn model resize the frame
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result = ff_dnn_get_output(&ctx->dnnctx, inlink->w, inlink->h, &outlink->w, &outlink->h);
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if (result != DNN_SUCCESS) {
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av_log(ctx, AV_LOG_ERROR, "could not get output from the model\n");
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return AVERROR(EIO);
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return result;
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}
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prepare_uv_scale(outlink);
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@ -76,7 +76,7 @@ static int config_output(AVFilterLink *outlink)
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{
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AVFilterContext *context = outlink->src;
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SRContext *ctx = context->priv;
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DNNReturnType result;
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int result;
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AVFilterLink *inlink = context->inputs[0];
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int out_width, out_height;
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@ -84,7 +84,7 @@ static int config_output(AVFilterLink *outlink)
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result = ff_dnn_get_output(&ctx->dnnctx, inlink->w, inlink->h, &out_width, &out_height);
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if (result != DNN_SUCCESS) {
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av_log(ctx, AV_LOG_ERROR, "could not get output from the model\n");
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return AVERROR(EIO);
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return result;
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}
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if (inlink->w != out_width || inlink->h != out_height) {
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@ -121,7 +121,7 @@ static int filter_frame(AVFilterLink *inlink, AVFrame *in)
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SRContext *ctx = context->priv;
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AVFilterLink *outlink = context->outputs[0];
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AVFrame *out = ff_get_video_buffer(outlink, outlink->w, outlink->h);
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DNNReturnType dnn_result;
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int dnn_result;
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if (!out){
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av_log(context, AV_LOG_ERROR, "could not allocate memory for output frame\n");
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@ -143,7 +143,7 @@ static int filter_frame(AVFilterLink *inlink, AVFrame *in)
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av_log(ctx, AV_LOG_ERROR, "failed to execute loaded model\n");
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av_frame_free(&in);
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av_frame_free(&out);
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return AVERROR(EIO);
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return dnn_result;
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}
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do {
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