different backend might need different options for a better performance,
so, add the parameter into dnn interface, as a preparation.
Signed-off-by: Guo, Yejun <yejun....@intel.com>
---
libavfilter/dnn/dnn_backend_native.c | 3 ++-
libavfilter/dnn/dnn_backend_native.h | 2 +-
libavfilter/dnn/dnn_backend_openvino.c | 3 ++-
libavfilter/dnn/dnn_backend_openvino.h | 2 +-
libavfilter/dnn/dnn_backend_tf.c | 3 ++-
libavfilter/dnn/dnn_backend_tf.h | 2 +-
libavfilter/dnn_interface.h | 4 +++-
libavfilter/vf_derain.c | 2 +-
libavfilter/vf_dnn_processing.c | 4 +++-
libavfilter/vf_sr.c | 2 +-
10 files changed, 17 insertions(+), 10 deletions(-)
diff --git a/libavfilter/dnn/dnn_backend_native.c
b/libavfilter/dnn/dnn_backend_native.c
index a685efb..adc652a 100644
--- a/libavfilter/dnn/dnn_backend_native.c
+++ b/libavfilter/dnn/dnn_backend_native.c
@@ -115,7 +115,7 @@ static DNNReturnType set_input_output_native(void *model,
DNNData *input, const
// layers_num,layer_type,layer_parameterss,layer_type,layer_parameters...
// For CONV layer: activation_function, input_num, output_num, kernel_size,
kernel, biases
// For DEPTH_TO_SPACE layer: block_size
-DNNModel *ff_dnn_load_model_native(const char *model_filename)
+DNNModel *ff_dnn_load_model_native(const char *model_filename, const char
*options)
{
DNNModel *model = NULL;
char header_expected[] = "FFMPEGDNNNATIVE";
@@ -245,6 +245,7 @@ DNNModel *ff_dnn_load_model_native(const char
*model_filename)
model->set_input_output = &set_input_output_native;
model->get_input = &get_input_native;
+ model->options = options;
return model;
diff --git a/libavfilter/dnn/dnn_backend_native.h
b/libavfilter/dnn/dnn_backend_native.h
index 62191ff..5254f9a 100644
--- a/libavfilter/dnn/dnn_backend_native.h
+++ b/libavfilter/dnn/dnn_backend_native.h
@@ -114,7 +114,7 @@ typedef struct ConvolutionalNetwork{
uint32_t nb_output;
} ConvolutionalNetwork;
-DNNModel *ff_dnn_load_model_native(const char *model_filename);
+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);
diff --git a/libavfilter/dnn/dnn_backend_openvino.c
b/libavfilter/dnn/dnn_backend_openvino.c
index f048bc2..d343bf2 100644
--- a/libavfilter/dnn/dnn_backend_openvino.c
+++ b/libavfilter/dnn/dnn_backend_openvino.c
@@ -155,7 +155,7 @@ err:
return DNN_ERROR;
}
-DNNModel *ff_dnn_load_model_ov(const char *model_filename)
+DNNModel *ff_dnn_load_model_ov(const char *model_filename, const char *options)
{
DNNModel *model = NULL;
OVModel *ov_model = NULL;
@@ -186,6 +186,7 @@ DNNModel *ff_dnn_load_model_ov(const char *model_filename)
model->model = (void *)ov_model;
model->set_input_output = &set_input_output_ov;
model->get_input = &get_input_ov;
+ model->options = options;
return model;
diff --git a/libavfilter/dnn/dnn_backend_openvino.h
b/libavfilter/dnn/dnn_backend_openvino.h
index 397847a..0a8fef9 100644
--- a/libavfilter/dnn/dnn_backend_openvino.h
+++ b/libavfilter/dnn/dnn_backend_openvino.h
@@ -29,7 +29,7 @@
#include "../dnn_interface.h"
-DNNModel *ff_dnn_load_model_ov(const char *model_filename);
+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);
diff --git a/libavfilter/dnn/dnn_backend_tf.c b/libavfilter/dnn/dnn_backend_tf.c
index 9ceca5c..86da991 100644
--- a/libavfilter/dnn/dnn_backend_tf.c
+++ b/libavfilter/dnn/dnn_backend_tf.c
@@ -572,7 +572,7 @@ static DNNReturnType load_native_model(TFModel *tf_model,
const char *model_file
return DNN_SUCCESS;
}
-DNNModel *ff_dnn_load_model_tf(const char *model_filename)
+DNNModel *ff_dnn_load_model_tf(const char *model_filename, const char *options)
{
DNNModel *model = NULL;
TFModel *tf_model = NULL;
@@ -600,6 +600,7 @@ DNNModel *ff_dnn_load_model_tf(const char *model_filename)
model->model = (void *)tf_model;
model->set_input_output = &set_input_output_tf;
model->get_input = &get_input_tf;
+ model->options = options;
return model;
}
diff --git a/libavfilter/dnn/dnn_backend_tf.h b/libavfilter/dnn/dnn_backend_tf.h
index 3e450891..d7ee1df 100644
--- a/libavfilter/dnn/dnn_backend_tf.h
+++ b/libavfilter/dnn/dnn_backend_tf.h
@@ -29,7 +29,7 @@
#include "../dnn_interface.h"
-DNNModel *ff_dnn_load_model_tf(const char *model_filename);
+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);
diff --git a/libavfilter/dnn_interface.h b/libavfilter/dnn_interface.h
index f914265..c5a72b4 100644
--- a/libavfilter/dnn_interface.h
+++ b/libavfilter/dnn_interface.h
@@ -43,6 +43,8 @@ typedef struct DNNData{
typedef struct DNNModel{
// Stores model that can be different for different backends.
void *model;
+ // Stores options when the model is executed by the backend
+ const char *options;
// Gets model input information
// Just reuse struct DNNData here, actually the DNNData.data field is not
needed.
DNNReturnType (*get_input)(void *model, DNNData *input, const char
*input_name);
@@ -54,7 +56,7 @@ typedef struct DNNModel{
// Stores pointers to functions for loading, executing, freeing DNN models for
one of the backends.
typedef struct DNNModule{
// Loads model and parameters from given file. Returns NULL if it is not
possible.
- DNNModel *(*load_model)(const char *model_filename);
+ 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);
// Frees memory allocated for model.
diff --git a/libavfilter/vf_derain.c b/libavfilter/vf_derain.c
index 7432260..e175bf4 100644
--- a/libavfilter/vf_derain.c
+++ b/libavfilter/vf_derain.c
@@ -161,7 +161,7 @@ static av_cold int init(AVFilterContext *ctx)
return AVERROR(EINVAL);
}
- dr_context->model =
(dr_context->dnn_module->load_model)(dr_context->model_filename);
+ dr_context->model =
(dr_context->dnn_module->load_model)(dr_context->model_filename, NULL);
if (!dr_context->model) {
av_log(ctx, AV_LOG_ERROR, "could not load DNN model\n");
return AVERROR(EINVAL);
diff --git a/libavfilter/vf_dnn_processing.c b/libavfilter/vf_dnn_processing.c
index 4b31808..b6dfc4e 100644
--- a/libavfilter/vf_dnn_processing.c
+++ b/libavfilter/vf_dnn_processing.c
@@ -41,6 +41,7 @@ typedef struct DnnProcessingContext {
DNNBackendType backend_type;
char *model_inputname;
char *model_outputname;
+ char *backend_options;
DNNModule *dnn_module;
DNNModel *model;
@@ -69,6 +70,7 @@ static const AVOption dnn_processing_options[] = {
{ "model", "path to model file", OFFSET(model_filename),
AV_OPT_TYPE_STRING, { .str = NULL }, 0, 0, FLAGS },
{ "input", "input name of the model", OFFSET(model_inputname),
AV_OPT_TYPE_STRING, { .str = NULL }, 0, 0, FLAGS },
{ "output", "output name of the model", OFFSET(model_outputname),
AV_OPT_TYPE_STRING, { .str = NULL }, 0, 0, FLAGS },
+ { "options", "backend options", OFFSET(backend_options),
AV_OPT_TYPE_STRING, { .str = NULL }, 0, 0, FLAGS },
{ NULL }
};
@@ -101,7 +103,7 @@ static av_cold int init(AVFilterContext *context)
return AVERROR(EINVAL);
}
- ctx->model = (ctx->dnn_module->load_model)(ctx->model_filename);
+ ctx->model = (ctx->dnn_module->load_model)(ctx->model_filename,
ctx->backend_options);
if (!ctx->model) {
av_log(ctx, AV_LOG_ERROR, "could not load DNN model\n");
return AVERROR(EINVAL);
diff --git a/libavfilter/vf_sr.c b/libavfilter/vf_sr.c
index f000eda..1dee317 100644
--- a/libavfilter/vf_sr.c
+++ b/libavfilter/vf_sr.c
@@ -81,7 +81,7 @@ static av_cold int init(AVFilterContext *context)
av_log(context, AV_LOG_ERROR, "load_model for network was not
specified\n");
return AVERROR(EIO);
}
- sr_context->model =
(sr_context->dnn_module->load_model)(sr_context->model_filename);
+ sr_context->model =
(sr_context->dnn_module->load_model)(sr_context->model_filename, NULL);
if (!sr_context->model){
av_log(context, AV_LOG_ERROR, "could not load DNN model\n");
return AVERROR(EIO);
--
2.7.4
_______________________________________________
ffmpeg-devel mailing list
ffmpeg-devel@ffmpeg.org
https://ffmpeg.org/mailman/listinfo/ffmpeg-devel
To unsubscribe, visit link above, or email
ffmpeg-devel-requ...@ffmpeg.org with subject "unsubscribe".
