emotion_c_api.h File Reference

#include "api_types.h"

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Functions
void *	rf_emotion_init (const char *model_path, rf_error_type *error)
void	rf_emotion_close (void *classifier_handle, rf_error_type *error)
int	rf_emotion_classify_whole (void *classifier_handle, void *image_handle, int ymin, int xmin, int ymax, int xmax, rf_error_type *error)

Function Documentation

rf_emotion_classify_whole()

int rf_emotion_classify_whole	(	void *	classifier_handle,
		void *	image_handle,
		int	ymin,
		int	xmin,
		int	ymax,
		int	xmax,
		rf_error_type *	error
	)

Classify whole image's emotion (where the whole image is the face image after cropped)

Parameters

classifier_handle	classifier handle
image_handle	image handle (use image API to create)
error	output parameter to return an error details output: int which represents the face's emotion using the following mapping: denote the output emotion as: output_emotion and the mapping by emotions_table_by_indices: std::vector<std::string> emotions_table_by_indices = {std::string("angry"), std::string("disgust"), std::string("fear"), std::string("happy"), std::string("sad"), std::string("surprise"), std::string("neutral") }; So the output emotion as string is given by: emotions_table_by_indices.at(output_emotion)

rf_emotion_close()

void rf_emotion_close	(	void *	classifier_handle,
		rf_error_type *	error
	)

Deletes emotion handle.

Parameters

classifier_handle	classifier handle for the emotion
error	output parameter to return an error details

rf_emotion_init()

void* rf_emotion_init	(	const char *	model_path,
		rf_error_type *	error
	)

Initializes emotion handle.

Parameters

model_path	path to the "emotion" model
error	output parameter to return an error details

Returns

emotion handle