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24 #ifndef AVFILTER_DNN_FILTER_COMMON_H
25 #define AVFILTER_DNN_FILTER_COMMON_H
43 #define DNN_COMMON_OPTIONS \
44 { "model", "path to model file", OFFSET(model_filename), AV_OPT_TYPE_STRING, { .str = NULL }, 0, 0, FLAGS },\
45 { "input", "input name of the model", OFFSET(model_inputname), AV_OPT_TYPE_STRING, { .str = NULL }, 0, 0, FLAGS },\
46 { "output", "output name of the model", OFFSET(model_outputnames_string), AV_OPT_TYPE_STRING, { .str = NULL }, 0, 0, FLAGS },\
47 { "backend_configs", "backend configs", OFFSET(backend_options), AV_OPT_TYPE_STRING, { .str = NULL }, 0, 0, FLAGS },\
48 { "options", "backend configs (deprecated, use backend_configs)", OFFSET(backend_options), AV_OPT_TYPE_STRING, { .str = NULL }, 0, 0, FLAGS | AV_OPT_FLAG_DEPRECATED},\
49 { "async", "use DNN async inference (ignored, use backend_configs='async=1')", OFFSET(async), AV_OPT_TYPE_BOOL, { .i64 = 1}, 0, 1, FLAGS},
int ff_dnn_get_input(DnnContext *ctx, DNNData *input)
This structure describes decoded (raw) audio or video data.
int ff_dnn_set_detect_post_proc(DnnContext *ctx, DetectPostProc post_proc)
int ff_dnn_init(DnnContext *ctx, DNNFunctionType func_type, AVFilterContext *filter_ctx)
int(* DetectPostProc)(AVFrame *frame, DNNData *output, uint32_t nb, AVFilterContext *filter_ctx)
void ff_dnn_uninit(DnnContext *ctx)
const DNNModule * dnn_module
static FilteringContext * filter_ctx
char ** model_outputnames
int ff_dnn_set_classify_post_proc(DnnContext *ctx, ClassifyPostProc post_proc)
int ff_dnn_get_output(DnnContext *ctx, int input_width, int input_height, int *output_width, int *output_height)
DNNBackendType backend_type
int(* ClassifyPostProc)(AVFrame *frame, DNNData *output, uint32_t bbox_index, AVFilterContext *filter_ctx)
DNNAsyncStatusType ff_dnn_get_result(DnnContext *ctx, AVFrame **in_frame, AVFrame **out_frame)
and forward the test the status of outputs and forward it to the corresponding return FFERROR_NOT_READY If the filters stores internally one or a few frame for some input
int ff_dnn_execute_model_classification(DnnContext *ctx, AVFrame *in_frame, AVFrame *out_frame, const char *target)
int ff_dnn_execute_model(DnnContext *ctx, AVFrame *in_frame, AVFrame *out_frame)
int(* FramePrePostProc)(AVFrame *frame, DNNData *model, AVFilterContext *filter_ctx)
int ff_dnn_flush(DnnContext *ctx)
int ff_dnn_set_frame_proc(DnnContext *ctx, FramePrePostProc pre_proc, FramePrePostProc post_proc)
char * model_outputnames_string