classification_c_api.h File Reference

#include "api_types.h"

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Functions
void *	rf_classifier_init (const char *model_path, rf_error_type *error)
void	rf_classifier_close (void *classifier_handle, rf_error_type *error)
void	rf_classifier_classify_whole (void *classifier_handle, void *image_handle, int *out_class_id, float *out_confidence, int *top_k, rf_error_type *error)
void	rf_classifier_classify (void *classifier_handle, void *image_handle, int ymin, int xmin, int ymax, int xmax, int *out_class_id, float *out_confidence, int *top_k, rf_error_type *error)

Function Documentation

rf_classifier_classify()

void rf_classifier_classify	(	void *	classifier_handle,
		void *	image_handle,
		int	ymin,
		int	xmin,
		int	ymax,
		int	xmax,
		int *	out_class_id,
		float *	out_confidence,
		int *	top_k,
		rf_error_type *	error
	)

Classify an bounding box area in the image

Parameters

classifier_handle	classifier handle
image_handle	image handle (use image API to create)
ymin	the top y position of the bounding box where the object is located
xmin	the left x position of the bounding box where the object is located
ymax	the bottom y position of the bounding box where the object is located
xmax	the right x position of the bounding box where the object is located
out_class_id	output parameter that returns a list of class ids (should be preallocated to at least *top_k size)
out_confidence	output parameter that returns a corresponding list of confidences (should be preallocated to at least *top_k size)
top_k	input/output parameter which indicates the k top classes and confidences to return, on the output holds the value of the actual len of out_class_id and out_confidence
error	output parameter to return an error details

rf_classifier_classify_whole()

void rf_classifier_classify_whole	(	void *	classifier_handle,
		void *	image_handle,
		int *	out_class_id,
		float *	out_confidence,
		int *	top_k,
		rf_error_type *	error
	)

Classify whole image

Parameters

classifier_handle	classifier handle
image_handle	image handle (use image API to create)
out_class_id	output parameter that returns a list of class ids (should be preallocated to at least *top_k size)
out_confidence	output parameter that returns a corresponding list of confidences (should be preallocated to at least *top_k size)
top_k	input/output parameter which indicates the k top classes and confidences to return, on the output holds the value of the actual len of out_class_id and out_confidence
error	output parameter to return an error details

rf_classifier_close()

void rf_classifier_close	(	void *	classifier_handle,
		rf_error_type *	error
	)

Deletes classifier.

Parameters

classifier_handle	classifier handle
error	output parameter to return an error details

rf_classifier_init()

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

Initializes classifier.

Parameters

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

Returns

classifier handle