diff options
author | Guo, Yejun <yejun.guo@intel.com> | 2020-08-13 11:19:48 +0300 |
---|---|---|
committer | Guo, Yejun <yejun.guo@intel.com> | 2020-08-25 04:02:59 +0300 |
commit | 0f7a99e37ae52f9ecdc4c81195c14b03f5be3dfd (patch) | |
tree | 00b5828f4f284ec9e363708ed89d4b2294e62a52 | |
parent | b61376bdee61c08732105fa331eb076497eface9 (diff) |
dnn: move output name from DNNModel.set_input_output to DNNModule.execute_model
currently, output is set both at DNNModel.set_input_output and
DNNModule.execute_model, it makes sense that the output name is
provided at model inference time so all the output info is set
at a single place.
and so DNNModel.set_input_output is renamed to DNNModel.set_input
Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
-rw-r--r-- | libavfilter/dnn/dnn_backend_native.c | 44 | ||||
-rw-r--r-- | libavfilter/dnn/dnn_backend_native.h | 4 | ||||
-rw-r--r-- | libavfilter/dnn/dnn_backend_openvino.c | 50 | ||||
-rw-r--r-- | libavfilter/dnn/dnn_backend_openvino.h | 2 | ||||
-rw-r--r-- | libavfilter/dnn/dnn_backend_tf.c | 87 | ||||
-rw-r--r-- | libavfilter/dnn/dnn_backend_tf.h | 2 | ||||
-rw-r--r-- | libavfilter/dnn_interface.h | 4 | ||||
-rw-r--r-- | libavfilter/vf_derain.c | 6 | ||||
-rw-r--r-- | libavfilter/vf_dnn_processing.c | 9 | ||||
-rw-r--r-- | libavfilter/vf_sr.c | 11 |
10 files changed, 82 insertions, 137 deletions
diff --git a/libavfilter/dnn/dnn_backend_native.c b/libavfilter/dnn/dnn_backend_native.c index 0be9c0b53c..65a56704d3 100644 --- a/libavfilter/dnn/dnn_backend_native.c +++ b/libavfilter/dnn/dnn_backend_native.c @@ -50,7 +50,7 @@ static DNNReturnType get_input_native(void *model, DNNData *input, const char *i return DNN_ERROR; } -static DNNReturnType set_input_output_native(void *model, DNNData *input, const char *input_name, const char **output_names, uint32_t nb_output) +static DNNReturnType set_input_native(void *model, DNNData *input, const char *input_name) { NativeModel *native_model = (NativeModel *)model; DnnOperand *oprd = NULL; @@ -87,27 +87,6 @@ static DNNReturnType set_input_output_native(void *model, DNNData *input, const input->data = oprd->data; - /* outputs */ - native_model->nb_output = 0; - av_freep(&native_model->output_indexes); - native_model->output_indexes = av_mallocz_array(nb_output, sizeof(*native_model->output_indexes)); - if (!native_model->output_indexes) - return DNN_ERROR; - - for (uint32_t i = 0; i < nb_output; ++i) { - const char *output_name = output_names[i]; - for (int j = 0; j < native_model->operands_num; ++j) { - oprd = &native_model->operands[j]; - if (strcmp(oprd->name, output_name) == 0) { - native_model->output_indexes[native_model->nb_output++] = j; - break; - } - } - } - - if (native_model->nb_output != nb_output) - return DNN_ERROR; - return DNN_SUCCESS; } @@ -243,7 +222,7 @@ DNNModel *ff_dnn_load_model_native(const char *model_filename, const char *optio return NULL; } - model->set_input_output = &set_input_output_native; + model->set_input = &set_input_native; model->get_input = &get_input_native; model->options = options; @@ -255,11 +234,10 @@ fail: return NULL; } -DNNReturnType ff_dnn_execute_model_native(const DNNModel *model, DNNData *outputs, uint32_t nb_output) +DNNReturnType ff_dnn_execute_model_native(const DNNModel *model, DNNData *outputs, const char **output_names, uint32_t nb_output) { NativeModel *native_model = (NativeModel *)model->model; int32_t layer; - uint32_t nb = FFMIN(nb_output, native_model->nb_output); if (native_model->layers_num <= 0 || native_model->operands_num <= 0) return DNN_ERROR; @@ -274,8 +252,19 @@ DNNReturnType ff_dnn_execute_model_native(const DNNModel *model, DNNData *output native_model->layers[layer].params); } - for (uint32_t i = 0; i < nb; ++i) { - DnnOperand *oprd = &native_model->operands[native_model->output_indexes[i]]; + for (uint32_t i = 0; i < nb_output; ++i) { + DnnOperand *oprd = NULL; + const char *output_name = output_names[i]; + for (int j = 0; j < native_model->operands_num; ++j) { + if (strcmp(native_model->operands[j].name, output_name) == 0) { + oprd = &native_model->operands[j]; + break; + } + } + + if (oprd == NULL) + return DNN_ERROR; + outputs[i].data = oprd->data; outputs[i].height = oprd->dims[1]; outputs[i].width = oprd->dims[2]; @@ -335,7 +324,6 @@ void ff_dnn_free_model_native(DNNModel **model) av_freep(&native_model->operands); } - av_freep(&native_model->output_indexes); av_freep(&native_model); } av_freep(model); diff --git a/libavfilter/dnn/dnn_backend_native.h b/libavfilter/dnn/dnn_backend_native.h index 228d5b742b..554098fe76 100644 --- a/libavfilter/dnn/dnn_backend_native.h +++ b/libavfilter/dnn/dnn_backend_native.h @@ -112,13 +112,11 @@ typedef struct NativeModel{ int32_t layers_num; DnnOperand *operands; int32_t operands_num; - int32_t *output_indexes; - uint32_t nb_output; } NativeModel; DNNModel *ff_dnn_load_model_native(const char *model_filename, const char *options); -DNNReturnType ff_dnn_execute_model_native(const DNNModel *model, DNNData *outputs, uint32_t nb_output); +DNNReturnType ff_dnn_execute_model_native(const DNNModel *model, DNNData *outputs, const char **output_names, uint32_t nb_output); void ff_dnn_free_model_native(DNNModel **model); diff --git a/libavfilter/dnn/dnn_backend_openvino.c b/libavfilter/dnn/dnn_backend_openvino.c index d343bf2559..034dee1839 100644 --- a/libavfilter/dnn/dnn_backend_openvino.c +++ b/libavfilter/dnn/dnn_backend_openvino.c @@ -34,8 +34,6 @@ typedef struct OVModel{ ie_executable_network_t *exe_network; ie_infer_request_t *infer_request; ie_blob_t *input_blob; - ie_blob_t **output_blobs; - uint32_t nb_output; } OVModel; static DNNDataType precision_to_datatype(precision_e precision) @@ -93,7 +91,7 @@ static DNNReturnType get_input_ov(void *model, DNNData *input, const char *input return DNN_ERROR; } -static DNNReturnType set_input_output_ov(void *model, DNNData *input, const char *input_name, const char **output_names, uint32_t nb_output) +static DNNReturnType set_input_ov(void *model, DNNData *input, const char *input_name) { OVModel *ov_model = (OVModel *)model; IEStatusCode status; @@ -124,30 +122,9 @@ static DNNReturnType set_input_output_ov(void *model, DNNData *input, const char goto err; input->data = blob_buffer.buffer; - // outputs - ov_model->nb_output = 0; - av_freep(&ov_model->output_blobs); - ov_model->output_blobs = av_mallocz_array(nb_output, sizeof(*ov_model->output_blobs)); - if (!ov_model->output_blobs) - goto err; - - for (int i = 0; i < nb_output; i++) { - const char *output_name = output_names[i]; - status = ie_infer_request_get_blob(ov_model->infer_request, output_name, &(ov_model->output_blobs[i])); - if (status != OK) - goto err; - ov_model->nb_output++; - } - return DNN_SUCCESS; err: - if (ov_model->output_blobs) { - for (uint32_t i = 0; i < ov_model->nb_output; i++) { - ie_blob_free(&(ov_model->output_blobs[i])); - } - av_freep(&ov_model->output_blobs); - } if (ov_model->input_blob) ie_blob_free(&ov_model->input_blob); if (ov_model->infer_request) @@ -184,7 +161,7 @@ DNNModel *ff_dnn_load_model_ov(const char *model_filename, const char *options) goto err; model->model = (void *)ov_model; - model->set_input_output = &set_input_output_ov; + model->set_input = &set_input_ov; model->get_input = &get_input_ov; model->options = options; @@ -205,24 +182,29 @@ err: return NULL; } -DNNReturnType ff_dnn_execute_model_ov(const DNNModel *model, DNNData *outputs, uint32_t nb_output) +DNNReturnType ff_dnn_execute_model_ov(const DNNModel *model, DNNData *outputs, const char **output_names, uint32_t nb_output) { dimensions_t dims; precision_e precision; ie_blob_buffer_t blob_buffer; OVModel *ov_model = (OVModel *)model->model; - uint32_t nb = FFMIN(nb_output, ov_model->nb_output); IEStatusCode status = ie_infer_request_infer(ov_model->infer_request); if (status != OK) return DNN_ERROR; - for (uint32_t i = 0; i < nb; ++i) { - status = ie_blob_get_buffer(ov_model->output_blobs[i], &blob_buffer); + for (uint32_t i = 0; i < nb_output; ++i) { + const char *output_name = output_names[i]; + ie_blob_t *output_blob = NULL; + status = ie_infer_request_get_blob(ov_model->infer_request, output_name, &output_blob); + if (status != OK) + return DNN_ERROR; + + status = ie_blob_get_buffer(output_blob, &blob_buffer); if (status != OK) return DNN_ERROR; - status |= ie_blob_get_dims(ov_model->output_blobs[i], &dims); - status |= ie_blob_get_precision(ov_model->output_blobs[i], &precision); + status |= ie_blob_get_dims(output_blob, &dims); + status |= ie_blob_get_precision(output_blob, &precision); if (status != OK) return DNN_ERROR; @@ -240,12 +222,6 @@ void ff_dnn_free_model_ov(DNNModel **model) { if (*model){ OVModel *ov_model = (OVModel *)(*model)->model; - if (ov_model->output_blobs) { - for (uint32_t i = 0; i < ov_model->nb_output; i++) { - ie_blob_free(&(ov_model->output_blobs[i])); - } - av_freep(&ov_model->output_blobs); - } if (ov_model->input_blob) ie_blob_free(&ov_model->input_blob); if (ov_model->infer_request) diff --git a/libavfilter/dnn/dnn_backend_openvino.h b/libavfilter/dnn/dnn_backend_openvino.h index 0a8fef91cf..b2a86e0125 100644 --- a/libavfilter/dnn/dnn_backend_openvino.h +++ b/libavfilter/dnn/dnn_backend_openvino.h @@ -31,7 +31,7 @@ DNNModel *ff_dnn_load_model_ov(const char *model_filename, const char *options); -DNNReturnType ff_dnn_execute_model_ov(const DNNModel *model, DNNData *outputs, uint32_t nb_output); +DNNReturnType ff_dnn_execute_model_ov(const DNNModel *model, DNNData *outputs, const char **output_names, uint32_t nb_output); void ff_dnn_free_model_ov(DNNModel **model); diff --git a/libavfilter/dnn/dnn_backend_tf.c b/libavfilter/dnn/dnn_backend_tf.c index 9d079aa92e..bdc90d5063 100644 --- a/libavfilter/dnn/dnn_backend_tf.c +++ b/libavfilter/dnn/dnn_backend_tf.c @@ -40,7 +40,6 @@ typedef struct TFModel{ TF_Status *status; TF_Output input; TF_Tensor *input_tensor; - TF_Output *outputs; TF_Tensor **output_tensors; uint32_t nb_output; } TFModel; @@ -136,7 +135,7 @@ static DNNReturnType get_input_tf(void *model, DNNData *input, const char *input return DNN_SUCCESS; } -static DNNReturnType set_input_output_tf(void *model, DNNData *input, const char *input_name, const char **output_names, uint32_t nb_output) +static DNNReturnType set_input_tf(void *model, DNNData *input, const char *input_name) { TFModel *tf_model = (TFModel *)model; TF_SessionOptions *sess_opts; @@ -157,40 +156,7 @@ static DNNReturnType set_input_output_tf(void *model, DNNData *input, const char } input->data = (float *)TF_TensorData(tf_model->input_tensor); - // Output operation - if (nb_output == 0) - return DNN_ERROR; - - av_freep(&tf_model->outputs); - tf_model->outputs = av_malloc_array(nb_output, sizeof(*tf_model->outputs)); - if (!tf_model->outputs) - return DNN_ERROR; - for (int i = 0; i < nb_output; ++i) { - tf_model->outputs[i].oper = TF_GraphOperationByName(tf_model->graph, output_names[i]); - if (!tf_model->outputs[i].oper){ - av_freep(&tf_model->outputs); - return DNN_ERROR; - } - tf_model->outputs[i].index = 0; - } - - if (tf_model->output_tensors) { - for (uint32_t i = 0; i < tf_model->nb_output; ++i) { - if (tf_model->output_tensors[i]) { - TF_DeleteTensor(tf_model->output_tensors[i]); - tf_model->output_tensors[i] = NULL; - } - } - } - av_freep(&tf_model->output_tensors); - tf_model->output_tensors = av_mallocz_array(nb_output, sizeof(*tf_model->output_tensors)); - if (!tf_model->output_tensors) { - av_freep(&tf_model->outputs); - return DNN_ERROR; - } - - tf_model->nb_output = nb_output; - + // session if (tf_model->session){ TF_CloseSession(tf_model->session, tf_model->status); TF_DeleteSession(tf_model->session, tf_model->status); @@ -598,40 +564,57 @@ DNNModel *ff_dnn_load_model_tf(const char *model_filename, const char *options) } model->model = (void *)tf_model; - model->set_input_output = &set_input_output_tf; + model->set_input = &set_input_tf; model->get_input = &get_input_tf; model->options = options; return model; } - - -DNNReturnType ff_dnn_execute_model_tf(const DNNModel *model, DNNData *outputs, uint32_t nb_output) +DNNReturnType ff_dnn_execute_model_tf(const DNNModel *model, DNNData *outputs, const char **output_names, uint32_t nb_output) { + TF_Output *tf_outputs; TFModel *tf_model = (TFModel *)model->model; - uint32_t nb = FFMIN(nb_output, tf_model->nb_output); - if (nb == 0) + + tf_outputs = av_malloc_array(nb_output, sizeof(*tf_outputs)); + if (tf_outputs == NULL) return DNN_ERROR; - av_assert0(tf_model->output_tensors); - for (uint32_t i = 0; i < tf_model->nb_output; ++i) { - if (tf_model->output_tensors[i]) { - TF_DeleteTensor(tf_model->output_tensors[i]); - tf_model->output_tensors[i] = NULL; + if (tf_model->output_tensors) { + for (uint32_t i = 0; i < tf_model->nb_output; ++i) { + if (tf_model->output_tensors[i]) { + TF_DeleteTensor(tf_model->output_tensors[i]); + tf_model->output_tensors[i] = NULL; + } } } + av_freep(&tf_model->output_tensors); + tf_model->nb_output = nb_output; + tf_model->output_tensors = av_mallocz_array(nb_output, sizeof(*tf_model->output_tensors)); + if (!tf_model->output_tensors) { + av_freep(&tf_outputs); + return DNN_ERROR; + } + + for (int i = 0; i < nb_output; ++i) { + tf_outputs[i].oper = TF_GraphOperationByName(tf_model->graph, output_names[i]); + if (!tf_outputs[i].oper) { + av_freep(&tf_outputs); + return DNN_ERROR; + } + tf_outputs[i].index = 0; + } TF_SessionRun(tf_model->session, NULL, &tf_model->input, &tf_model->input_tensor, 1, - tf_model->outputs, tf_model->output_tensors, nb, + tf_outputs, tf_model->output_tensors, nb_output, NULL, 0, NULL, tf_model->status); - - if (TF_GetCode(tf_model->status) != TF_OK){ + if (TF_GetCode(tf_model->status) != TF_OK) { + av_freep(&tf_outputs); return DNN_ERROR; } - for (uint32_t i = 0; i < nb; ++i) { + for (uint32_t i = 0; i < nb_output; ++i) { outputs[i].height = TF_Dim(tf_model->output_tensors[i], 1); outputs[i].width = TF_Dim(tf_model->output_tensors[i], 2); outputs[i].channels = TF_Dim(tf_model->output_tensors[i], 3); @@ -639,6 +622,7 @@ DNNReturnType ff_dnn_execute_model_tf(const DNNModel *model, DNNData *outputs, u outputs[i].dt = TF_TensorType(tf_model->output_tensors[i]); } + av_freep(&tf_outputs); return DNN_SUCCESS; } @@ -669,7 +653,6 @@ void ff_dnn_free_model_tf(DNNModel **model) } } } - av_freep(&tf_model->outputs); av_freep(&tf_model->output_tensors); av_freep(&tf_model); av_freep(model); diff --git a/libavfilter/dnn/dnn_backend_tf.h b/libavfilter/dnn/dnn_backend_tf.h index d7ee1df05d..6c7b6d2590 100644 --- a/libavfilter/dnn/dnn_backend_tf.h +++ b/libavfilter/dnn/dnn_backend_tf.h @@ -31,7 +31,7 @@ DNNModel *ff_dnn_load_model_tf(const char *model_filename, const char *options); -DNNReturnType ff_dnn_execute_model_tf(const DNNModel *model, DNNData *outputs, uint32_t nb_output); +DNNReturnType ff_dnn_execute_model_tf(const DNNModel *model, DNNData *outputs, const char **output_names, uint32_t nb_output); void ff_dnn_free_model_tf(DNNModel **model); diff --git a/libavfilter/dnn_interface.h b/libavfilter/dnn_interface.h index c5a72b4e52..365c9a4729 100644 --- a/libavfilter/dnn_interface.h +++ b/libavfilter/dnn_interface.h @@ -50,7 +50,7 @@ typedef struct DNNModel{ DNNReturnType (*get_input)(void *model, DNNData *input, const char *input_name); // Sets model input and output. // Should be called at least once before model execution. - DNNReturnType (*set_input_output)(void *model, DNNData *input, const char *input_name, const char **output_names, uint32_t nb_output); + DNNReturnType (*set_input)(void *model, DNNData *input, const char *input_name); } DNNModel; // Stores pointers to functions for loading, executing, freeing DNN models for one of the backends. @@ -58,7 +58,7 @@ typedef struct DNNModule{ // Loads model and parameters from given file. Returns NULL if it is not possible. DNNModel *(*load_model)(const char *model_filename, const char *options); // Executes model with specified input and output. Returns DNN_ERROR otherwise. - DNNReturnType (*execute_model)(const DNNModel *model, DNNData *outputs, uint32_t nb_output); + DNNReturnType (*execute_model)(const DNNModel *model, DNNData *outputs, const char **output_names, uint32_t nb_output); // Frees memory allocated for model. void (*free_model)(DNNModel **model); } DNNModule; diff --git a/libavfilter/vf_derain.c b/libavfilter/vf_derain.c index e175bf4287..ff7d8d6308 100644 --- a/libavfilter/vf_derain.c +++ b/libavfilter/vf_derain.c @@ -78,14 +78,13 @@ static int config_inputs(AVFilterLink *inlink) { AVFilterContext *ctx = inlink->dst; DRContext *dr_context = ctx->priv; - const char *model_output_name = "y"; DNNReturnType result; dr_context->input.width = inlink->w; dr_context->input.height = inlink->h; dr_context->input.channels = 3; - result = (dr_context->model->set_input_output)(dr_context->model->model, &dr_context->input, "x", &model_output_name, 1); + result = (dr_context->model->set_input)(dr_context->model->model, &dr_context->input, "x"); if (result != DNN_SUCCESS) { av_log(ctx, AV_LOG_ERROR, "could not set input and output for the model\n"); return AVERROR(EIO); @@ -100,6 +99,7 @@ static int filter_frame(AVFilterLink *inlink, AVFrame *in) AVFilterLink *outlink = ctx->outputs[0]; DRContext *dr_context = ctx->priv; DNNReturnType dnn_result; + const char *model_output_name = "y"; AVFrame *out = ff_get_video_buffer(outlink, outlink->w, outlink->h); if (!out) { @@ -118,7 +118,7 @@ static int filter_frame(AVFilterLink *inlink, AVFrame *in) } } - dnn_result = (dr_context->dnn_module->execute_model)(dr_context->model, &dr_context->output, 1); + dnn_result = (dr_context->dnn_module->execute_model)(dr_context->model, &dr_context->output, &model_output_name, 1); if (dnn_result != DNN_SUCCESS){ av_log(ctx, AV_LOG_ERROR, "failed to execute model\n"); return AVERROR(EIO); diff --git a/libavfilter/vf_dnn_processing.c b/libavfilter/vf_dnn_processing.c index b6dfc4e697..f78800f7c0 100644 --- a/libavfilter/vf_dnn_processing.c +++ b/libavfilter/vf_dnn_processing.c @@ -218,9 +218,8 @@ static int config_input(AVFilterLink *inlink) ctx->input.channels = model_input.channels; ctx->input.dt = model_input.dt; - result = (ctx->model->set_input_output)(ctx->model->model, - &ctx->input, ctx->model_inputname, - (const char **)&ctx->model_outputname, 1); + result = (ctx->model->set_input)(ctx->model->model, + &ctx->input, ctx->model_inputname); if (result != DNN_SUCCESS) { av_log(ctx, AV_LOG_ERROR, "could not set input and output for the model\n"); return AVERROR(EIO); @@ -309,7 +308,7 @@ static int config_output(AVFilterLink *outlink) DNNReturnType result; // have a try run in case that the dnn model resize the frame - result = (ctx->dnn_module->execute_model)(ctx->model, &ctx->output, 1); + result = (ctx->dnn_module->execute_model)(ctx->model, &ctx->output, (const char **)&ctx->model_outputname, 1); if (result != DNN_SUCCESS){ av_log(ctx, AV_LOG_ERROR, "failed to execute model\n"); return AVERROR(EIO); @@ -456,7 +455,7 @@ static int filter_frame(AVFilterLink *inlink, AVFrame *in) copy_from_frame_to_dnn(ctx, in); - dnn_result = (ctx->dnn_module->execute_model)(ctx->model, &ctx->output, 1); + dnn_result = (ctx->dnn_module->execute_model)(ctx->model, &ctx->output, (const char **)&ctx->model_outputname, 1); if (dnn_result != DNN_SUCCESS){ av_log(ctx, AV_LOG_ERROR, "failed to execute model\n"); av_frame_free(&in); diff --git a/libavfilter/vf_sr.c b/libavfilter/vf_sr.c index 1dee317372..37e1107145 100644 --- a/libavfilter/vf_sr.c +++ b/libavfilter/vf_sr.c @@ -124,13 +124,13 @@ static int config_props(AVFilterLink *inlink) sr_context->input.height = inlink->h * sr_context->scale_factor; sr_context->input.channels = 1; - result = (sr_context->model->set_input_output)(sr_context->model->model, &sr_context->input, "x", &model_output_name, 1); + result = (sr_context->model->set_input)(sr_context->model->model, &sr_context->input, "x"); if (result != DNN_SUCCESS){ av_log(context, AV_LOG_ERROR, "could not set input and output for the model\n"); return AVERROR(EIO); } - result = (sr_context->dnn_module->execute_model)(sr_context->model, &sr_context->output, 1); + result = (sr_context->dnn_module->execute_model)(sr_context->model, &sr_context->output, &model_output_name, 1); if (result != DNN_SUCCESS){ av_log(context, AV_LOG_ERROR, "failed to execute loaded model\n"); return AVERROR(EIO); @@ -139,12 +139,12 @@ static int config_props(AVFilterLink *inlink) if (sr_context->input.height != sr_context->output.height || sr_context->input.width != sr_context->output.width){ sr_context->input.width = inlink->w; sr_context->input.height = inlink->h; - result = (sr_context->model->set_input_output)(sr_context->model->model, &sr_context->input, "x", &model_output_name, 1); + result = (sr_context->model->set_input)(sr_context->model->model, &sr_context->input, "x"); if (result != DNN_SUCCESS){ av_log(context, AV_LOG_ERROR, "could not set input and output for the model\n"); return AVERROR(EIO); } - result = (sr_context->dnn_module->execute_model)(sr_context->model, &sr_context->output, 1); + result = (sr_context->dnn_module->execute_model)(sr_context->model, &sr_context->output, &model_output_name, 1); if (result != DNN_SUCCESS){ av_log(context, AV_LOG_ERROR, "failed to execute loaded model\n"); return AVERROR(EIO); @@ -203,6 +203,7 @@ static int filter_frame(AVFilterLink *inlink, AVFrame *in) AVFilterLink *outlink = context->outputs[0]; AVFrame *out = ff_get_video_buffer(outlink, outlink->w, outlink->h); DNNReturnType dnn_result; + const char *model_output_name = "y"; if (!out){ av_log(context, AV_LOG_ERROR, "could not allocate memory for output frame\n"); @@ -233,7 +234,7 @@ static int filter_frame(AVFilterLink *inlink, AVFrame *in) } av_frame_free(&in); - dnn_result = (sr_context->dnn_module->execute_model)(sr_context->model, &sr_context->output, 1); + dnn_result = (sr_context->dnn_module->execute_model)(sr_context->model, &sr_context->output, &model_output_name, 1); if (dnn_result != DNN_SUCCESS){ av_log(context, AV_LOG_ERROR, "failed to execute loaded model\n"); return AVERROR(EIO); |