classifier.h

struct mmdeploy_classification_t

Public Members

int label_id

float score

typedef struct mmdeploy_classifier *mmdeploy_classifier_t

int mmdeploy_classifier_create(mmdeploy_model_t model, const char *device_name, int device_id, mmdeploy_classifier_t *classifier)

Create classifier’s handle.

参数

• model – [in] an instance of mmclassification sdk model created by mmdeploy_model_create_by_path or mmdeploy_model_create in model.h

• device_name – [in] name of device, such as “cpu”, “cuda”, etc.

• device_id – [in] id of device.

• classifier – [out] instance of a classifier, which must be destroyed by mmdeploy_classifier_destroy

返回

status of creating classifier’s handle

int mmdeploy_classifier_create_by_path(const char *model_path, const char *device_name, int device_id, mmdeploy_classifier_t *classifier)

Create classifier’s handle.

参数

• model_path – [in] path of mmclassification sdk model exported by mmdeploy model converter

• device_name – [in] name of device, such as “cpu”, “cuda”, etc.

• device_id – [in] id of device.

• classifier – [out] instance of a classifier, which must be destroyed by mmdeploy_classifier_destroy

返回

status of creating classifier’s handle

int mmdeploy_classifier_apply(mmdeploy_classifier_t classifier, const mmdeploy_mat_t *mats, int mat_count, mmdeploy_classification_t **results, int **result_count)

Use classifier created by mmdeploy_classifier_create_by_path to get label information of each image in a batch.

参数

• classifier – [in] classifier’s handle created by mmdeploy_classifier_create_by_path

• mats – [in] a batch of images

• mat_count – [in] number of images in the batch

• results – [out] a linear buffer to save classification results of each image, which must be freed by mmdeploy_classifier_release_result

• result_count – [out] a linear buffer with length being mat_count to save the number of classification results of each image. It must be released by mmdeploy_classifier_release_result

返回

status of inference

void mmdeploy_classifier_release_result(mmdeploy_classification_t *results, const int *result_count, int count)

Release the inference result buffer created mmdeploy_classifier_apply.

参数

• results – [in] classification results buffer

• result_count – [in] results size buffer

• count – [in] length of result_count

void mmdeploy_classifier_destroy(mmdeploy_classifier_t classifier)

Destroy classifier’s handle.

参数

classifier – [in] classifier’s handle created by mmdeploy_classifier_create_by_path

int mmdeploy_classifier_create_v2(mmdeploy_model_t model, mmdeploy_context_t context, mmdeploy_classifier_t *classifier)

Same as mmdeploy_classifier_create, but allows to control execution context of tasks via context.

int mmdeploy_classifier_create_input(const mmdeploy_mat_t *mats, int mat_count, mmdeploy_value_t *value)

Pack classifier inputs into mmdeploy_value_t.

参数

• mats – [in] a batch of images

• mat_count – [in] number of images in the batch

• value – [out] the packed value

返回

status of the operation

int mmdeploy_classifier_apply_v2(mmdeploy_classifier_t classifier, mmdeploy_value_t input, mmdeploy_value_t *output)

Same as mmdeploy_classifier_apply, but input and output are packed in mmdeploy_value_t.

int mmdeploy_classifier_apply_async(mmdeploy_classifier_t classifier, mmdeploy_sender_t input, mmdeploy_sender_t *output)

Apply classifier asynchronously.

参数

• classifier – [in] handle of the classifier

• input – [in] input sender that will be consumed by the operation

• output – [out] output sender

返回

status of the operation

int mmdeploy_classifier_get_result(mmdeploy_value_t output, mmdeploy_classification_t **results, int **result_count)

参数

• output – [in] output obtained by applying a classifier

• results – [out] a linear buffer containing classification results of each image, released by mmdeploy_classifier_release_result

• result_count – [out] a linear buffer containing the number of results for each input image, released by mmdeploy_classifier_release_result

返回

status of the operation