#include "fastdeploy_capi/core/fd_common.h"#include "fastdeploy_capi/core/fd_type.h"#include "fastdeploy_capi/runtime/runtime_option.h"#include "fastdeploy_capi/vision/result.h"
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Typedefs | |
| typedef struct FD_C_PaddleClasModelWrapper | FD_C_PaddleClasModelWrapper |
Typedef Documentation
◆ FD_C_PaddleClasModelWrapper
| typedef struct FD_C_PaddleClasModelWrapper FD_C_PaddleClasModelWrapper |
Function Documentation
◆ FD_C_CreatePaddleClasModelWrapper()
| FASTDEPLOY_CAPI_EXPORT __fd_give FD_C_PaddleClasModelWrapper* FD_C_CreatePaddleClasModelWrapper | ( | const char * | model_file, |
| const char * | params_file, | ||
| const char * | config_file, | ||
| FD_C_RuntimeOptionWrapper * | fd_c_runtime_option_wrapper, | ||
| const FD_C_ModelFormat | model_format | ||
| ) |
Create a new FD_C_PaddleClasModelWrapper object.
- Parameters
-
[in] model_file Path of model file, e.g resnet/model.pdmodel [in] params_file Path of parameter file, e.g resnet/model.pdiparams, if the model format is ONNX, this parameter will be ignored [in] config_file Path of configuration file for deployment, e.g resnet/infer_cfg.yml [in] fd_c_runtime_option_wrapper RuntimeOption for inference, the default will use cpu, and choose the backend defined in valid_cpu_backends[in] model_format Model format of the loaded model, default is Paddle format
- Returns
- Return a pointer to FD_C_PaddleClasModelWrapper object
◆ FD_C_DestroyPaddleClasModelWrapper()
| FASTDEPLOY_CAPI_EXPORT void FD_C_DestroyPaddleClasModelWrapper | ( | __fd_take FD_C_PaddleClasModelWrapper * | fd_c_paddleclas_model_wrapper | ) |
Destroy a FD_C_PaddleClasModelWrapper object.
- Parameters
-
[in] fd_c_paddleclas_model_wrapper pointer to FD_C_PaddleClasModelWrapper object
◆ FD_C_PaddleClasModelWrapperBatchPredict()
| FASTDEPLOY_CAPI_EXPORT FD_C_Bool FD_C_PaddleClasModelWrapperBatchPredict | ( | __fd_keep FD_C_PaddleClasModelWrapper * | fd_c_paddleclas_model_wrapper, |
| FD_C_OneDimMat | imgs, | ||
| FD_C_OneDimClassifyResult * | results | ||
| ) |
Predict the classification results for a batch of input images.
- Parameters
-
[in] fd_c_paddleclas_model_wrapper pointer to FD_C_PaddleClasModelWrapper object [in] imgs The input image list, each element comes from cv::imread() [in] results The output classification result list
- Returns
- true if the prediction successed, otherwise false
◆ FD_C_PaddleClasModelWrapperInitialized()
| FASTDEPLOY_CAPI_EXPORT FD_C_Bool FD_C_PaddleClasModelWrapperInitialized | ( | __fd_keep FD_C_PaddleClasModelWrapper * | fd_c_paddleclas_model_wrapper | ) |
Check if the model is initialized successfully.
- Parameters
-
[in] fd_c_paddleclas_model_wrapper pointer to FD_C_PaddleClasModelWrapper object
- Returns
- Return a bool of value true if initialized successfully
◆ FD_C_PaddleClasModelWrapperPredict()
| FASTDEPLOY_CAPI_EXPORT FD_C_Bool FD_C_PaddleClasModelWrapperPredict | ( | __fd_keep FD_C_PaddleClasModelWrapper * | fd_c_paddleclas_model_wrapper, |
| FD_C_Mat | img, | ||
| FD_C_ClassifyResult * | fd_c_classify_result_wrapper | ||
| ) |
Predict the classification result for an input image.
- Parameters
-
[in] fd_c_paddleclas_model_wrapper pointer to FD_C_PaddleClasModelWrapper object [in] img pointer to cv::Mat image [in] fd_c_classify_result pointer to FD_C_ClassifyResult object, which stores the result.
