KanduAI SDK API
Table Of Contents
KanduAI SDK API
Table Of Contents

Classification

Classification description

Functions

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

Initializes classifier.

Return

classifier handle

Parameters

  • model_path: path to the “classification” model

  • error: output parameter to return an error details

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

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

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

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