// 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, const char *options, AVFilterContext *filter_ctx)
+DNNModel *ff_dnn_load_model_native(const char *model_filename, DNNFunctionType func_type, const char *options, AVFilterContext *filter_ctx)
{
DNNModel *model = NULL;
char header_expected[] = "FFMPEGDNNNATIVE";
model->get_input = &get_input_native;
model->get_output = &get_output_native;
model->filter_ctx = filter_ctx;
+ model->func_type = func_type;
return model;
int32_t operands_num;
} NativeModel;
-DNNModel *ff_dnn_load_model_native(const char *model_filename, const char *options, AVFilterContext *filter_ctx);
+DNNModel *ff_dnn_load_model_native(const char *model_filename, DNNFunctionType func_type, const char *options, AVFilterContext *filter_ctx);
DNNReturnType ff_dnn_execute_model_native(const DNNModel *model, const char *input_name, AVFrame *in_frame,
const char **output_names, uint32_t nb_output, AVFrame *out_frame);
return ret;
}
-DNNModel *ff_dnn_load_model_ov(const char *model_filename, const char *options, AVFilterContext *filter_ctx)
+DNNModel *ff_dnn_load_model_ov(const char *model_filename, DNNFunctionType func_type, const char *options, AVFilterContext *filter_ctx)
{
DNNModel *model = NULL;
OVModel *ov_model = NULL;
model->get_output = &get_output_ov;
model->options = options;
model->filter_ctx = filter_ctx;
+ model->func_type = func_type;
return model;
#include "../dnn_interface.h"
-DNNModel *ff_dnn_load_model_ov(const char *model_filename, const char *options, AVFilterContext *filter_ctx);
+DNNModel *ff_dnn_load_model_ov(const char *model_filename, DNNFunctionType func_type, const char *options, AVFilterContext *filter_ctx);
DNNReturnType ff_dnn_execute_model_ov(const DNNModel *model, const char *input_name, AVFrame *in_frame,
const char **output_names, uint32_t nb_output, AVFrame *out_frame);
DNNModel *model = NULL;
NativeModel *native_model;
- model = ff_dnn_load_model_native(model_filename, NULL, NULL);
+ model = ff_dnn_load_model_native(model_filename, DFT_PROCESS_FRAME, NULL, NULL);
if (!model){
av_log(ctx, AV_LOG_ERROR, "Failed to load native model\n");
return DNN_ERROR;
return DNN_SUCCESS;
}
-DNNModel *ff_dnn_load_model_tf(const char *model_filename, const char *options, AVFilterContext *filter_ctx)
+DNNModel *ff_dnn_load_model_tf(const char *model_filename, DNNFunctionType func_type, const char *options, AVFilterContext *filter_ctx)
{
DNNModel *model = NULL;
TFModel *tf_model = NULL;
model->get_output = &get_output_tf;
model->options = options;
model->filter_ctx = filter_ctx;
+ model->func_type = func_type;
return model;
}
#include "../dnn_interface.h"
-DNNModel *ff_dnn_load_model_tf(const char *model_filename, const char *options, AVFilterContext *filter_ctx);
+DNNModel *ff_dnn_load_model_tf(const char *model_filename, DNNFunctionType func_type, const char *options, AVFilterContext *filter_ctx);
DNNReturnType ff_dnn_execute_model_tf(const DNNModel *model, const char *input_name, AVFrame *in_frame,
const char **output_names, uint32_t nb_output, AVFrame *out_frame);
#include "dnn_filter_common.h"
-int ff_dnn_init(DnnContext *ctx, AVFilterContext *filter_ctx)
+int ff_dnn_init(DnnContext *ctx, DNNFunctionType func_type, AVFilterContext *filter_ctx)
{
if (!ctx->model_filename) {
av_log(filter_ctx, AV_LOG_ERROR, "model file for network is not specified\n");
return AVERROR(EINVAL);
}
- ctx->model = (ctx->dnn_module->load_model)(ctx->model_filename, ctx->backend_options, filter_ctx);
+ ctx->model = (ctx->dnn_module->load_model)(ctx->model_filename, func_type, ctx->backend_options, filter_ctx);
if (!ctx->model) {
av_log(filter_ctx, AV_LOG_ERROR, "could not load DNN model\n");
return AVERROR(EINVAL);
{ "async", "use DNN async inference", OFFSET(async), AV_OPT_TYPE_BOOL, { .i64 = 1}, 0, 1, FLAGS},
-int ff_dnn_init(DnnContext *ctx, AVFilterContext *filter_ctx);
+int ff_dnn_init(DnnContext *ctx, DNNFunctionType func_type, AVFilterContext *filter_ctx);
DNNReturnType ff_dnn_get_input(DnnContext *ctx, DNNData *input);
DNNReturnType ff_dnn_get_output(DnnContext *ctx, int input_width, int input_height, int *output_width, int *output_height);
DNNReturnType ff_dnn_execute_model(DnnContext *ctx, AVFrame *in_frame, AVFrame *out_frame);
DAST_SUCCESS // got a result frame successfully
} DNNAsyncStatusType;
+typedef enum {
+ DFT_NONE,
+ DFT_PROCESS_FRAME, // process the whole frame
+ DFT_ANALYTICS_DETECT, // detect from the whole frame
+ // we can add more such as detect_from_crop, classify_from_bbox, etc.
+}DNNFunctionType;
+
typedef struct DNNData{
void *data;
DNNDataType dt;
const char *options;
// Stores FilterContext used for the interaction between AVFrame and DNNData
AVFilterContext *filter_ctx;
+ // Stores function type of the model
+ DNNFunctionType func_type;
// 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);
// 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, const char *options, AVFilterContext *filter_ctx);
+ DNNModel *(*load_model)(const char *model_filename, DNNFunctionType func_type, const char *options, AVFilterContext *filter_ctx);
// Executes model with specified input and output. Returns DNN_ERROR otherwise.
DNNReturnType (*execute_model)(const DNNModel *model, const char *input_name, AVFrame *in_frame,
const char **output_names, uint32_t nb_output, AVFrame *out_frame);
static av_cold int init(AVFilterContext *ctx)
{
DRContext *dr_context = ctx->priv;
- return ff_dnn_init(&dr_context->dnnctx, ctx);
+ return ff_dnn_init(&dr_context->dnnctx, DFT_PROCESS_FRAME, ctx);
}
static av_cold void uninit(AVFilterContext *ctx)
static av_cold int init(AVFilterContext *context)
{
DnnProcessingContext *ctx = context->priv;
- return ff_dnn_init(&ctx->dnnctx, context);
+ return ff_dnn_init(&ctx->dnnctx, DFT_PROCESS_FRAME, context);
}
static int query_formats(AVFilterContext *context)
static av_cold int init(AVFilterContext *context)
{
SRContext *sr_context = context->priv;
- return ff_dnn_init(&sr_context->dnnctx, context);
+ return ff_dnn_init(&sr_context->dnnctx, DFT_PROCESS_FRAME, context);
}
static int query_formats(AVFilterContext *context)