62 lines
2.5 KiB
C
62 lines
2.5 KiB
C
|
// Copyright (c) OpenMMLab. All rights reserved.
|
||
|
|
|
||
|
|
#ifndef MMDEPLOY_DETECTOR_H
|
||
|
|
#define MMDEPLOY_DETECTOR_H
|
||
|
|
|
||
|
|
#include "common.h"
|
||
|
|
|
||
|
|
typedef struct mm_detect_t {
|
||
|
|
int label_id;
|
||
|
|
float score;
|
||
|
|
mm_rect_t bbox;
|
||
|
|
} mm_detect_t;
|
||
|
|
|
||
|
|
MM_SDK_API int mmdeploy_detector_create(mm_model_t model, const char* device_name, int device_id,
|
||
|
|
mm_handle_t* handle);
|
||
|
|
|
||
|
|
/**
|
||
|
|
* @brief Create detector's handle
|
||
|
|
* @param model_path detector's config which is supposed to be json. Refer to
|
||
|
|
* `@PROJECT_ROOT_DIR/config/detector/retinanet_config.json`
|
||
|
|
* @param device_name name of device, such as "cpu", "cuda" and etc.
|
||
|
|
* @param device_id id of device.
|
||
|
|
* @param handle instance of a detector
|
||
|
|
* @return status of creating detector's handle
|
||
|
|
*/
|
||
|
|
MM_SDK_API int mmdeploy_detector_create_by_path(const char* model_path, const char* device_name,
|
||
|
|
int device_id, mm_handle_t* handle);
|
||
|
|
|
||
|
|
/**
|
||
|
|
* @brief Apply detector to batch images and get their inference results
|
||
|
|
* @param handle detector's handle made by `mmdeploy_detector_create_by_path`
|
||
|
|
* @param mats batch images
|
||
|
|
* @param mat_count number of images in a batch
|
||
|
|
* @param results a consecutive buffer to save detection results of each image.
|
||
|
|
* User has to access `result_count` to get the beginning and ending position of
|
||
|
|
* an image's detection results. It is created inside and should be destroyed by
|
||
|
|
* calling `mmdeploy_detector_release_result`
|
||
|
|
* @param result_count a consecutive buffer to save the number of detection
|
||
|
|
* results of each image. Its length is equal to `mat_count`. It is created
|
||
|
|
* inside and should be destroyed by calling `mmdeploy_detector_release_result`
|
||
|
|
* @return status of inference
|
||
|
|
*/
|
||
|
|
MM_SDK_API int mmdeploy_detector_apply(mm_handle_t handle, const mm_mat_t* mats, int mat_count,
|
||
|
|
mm_detect_t** results, int** result_count);
|
||
|
|
|
||
|
|
/** @brief release the inference result buffer
|
||
|
|
* @param results a consecutive buffer to save images' detection results
|
||
|
|
* @param result_count a consecutive buffer to save the size of detection
|
||
|
|
* results of each image in a batch
|
||
|
|
* @param count length of `result_count`
|
||
|
|
*/
|
||
|
|
MM_SDK_API void mmdeploy_detector_release_result(mm_detect_t* results, const int* result_count,
|
||
|
|
int count);
|
||
|
|
|
||
|
|
/**
|
||
|
|
* @brief destroy detector's handle
|
||
|
|
* @param handle detector's handle made by `mmdeploy_detector_create_by_path`
|
||
|
|
*/
|
||
|
|
MM_SDK_API void mmdeploy_detector_destroy(mm_handle_t handle);
|
||
|
|
|
||
|
|
#endif // MMDEPLOY_DETECTOR_H
|