#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_PaddleSegModelWrapper | FD_C_PaddleSegModelWrapper |
Typedef Documentation
◆ FD_C_PaddleSegModelWrapper
| typedef struct FD_C_PaddleSegModelWrapper FD_C_PaddleSegModelWrapper |
Function Documentation
◆ FD_C_CreatePaddleSegModelWrapper()
| FASTDEPLOY_CAPI_EXPORT __fd_give FD_C_PaddleSegModelWrapper* FD_C_CreatePaddleSegModelWrapper | ( | 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_PaddleSegModelWrapper object.
- Parameters
-
[in] model_file Path of model file, e.g net/model.pdmodel [in] params_file Path of parameter file, e.g unet/model.pdiparams, if the model format is ONNX, this parameter will be ignored [in] config_file Path of configuration file for deployment, e.g unet/deploy.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_PaddleSegModelWrapper object
◆ FD_C_DestroyPaddleSegModelWrapper()
| FASTDEPLOY_CAPI_EXPORT void FD_C_DestroyPaddleSegModelWrapper | ( | __fd_take FD_C_PaddleSegModelWrapper * | fd_c_paddleseg_model_wrapper | ) |
Destroy a FD_C_PaddleSegModelWrapper object.
- Parameters
-
[in] fd_c_paddleseg_model_wrapper pointer to FD_C_PaddleSegModelWrapper object
◆ FD_C_PaddleSegModelWrapperBatchPredict()
| FASTDEPLOY_CAPI_EXPORT FD_C_Bool FD_C_PaddleSegModelWrapperBatchPredict | ( | __fd_keep FD_C_PaddleSegModelWrapper * | fd_c_paddleseg_model_wrapper, |
| FD_C_OneDimMat | imgs, | ||
| FD_C_OneDimSegmentationResult * | results | ||
| ) |
Predict the segmentation results for a batch of input images.
- Parameters
-
[in] fd_c_paddleseg_model_wrapper pointer to FD_C_PaddleSegModelWrapper object [in] imgs The input image list, each element comes from cv::imread() [in] results The output segmentation result list
- Returns
- true if the prediction successed, otherwise false
◆ FD_C_PaddleSegModelWrapperInitialized()
| FASTDEPLOY_CAPI_EXPORT FD_C_Bool FD_C_PaddleSegModelWrapperInitialized | ( | __fd_keep FD_C_PaddleSegModelWrapper * | fd_c_paddleseg_model_wrapper | ) |
Check if the model is initialized successfully.
- Parameters
-
[in] fd_c_paddleseg_model_wrapper pointer to FD_C_PaddleSegModelWrapper object
- Returns
- Return a bool of value true if initialized successfully
◆ FD_C_PaddleSegModelWrapperPredict()
| FASTDEPLOY_CAPI_EXPORT FD_C_Bool FD_C_PaddleSegModelWrapperPredict | ( | __fd_keep FD_C_PaddleSegModelWrapper * | fd_c_paddleseg_model_wrapper, |
| FD_C_Mat | img, | ||
| FD_C_SegmentationResult * | fd_c_segmentation_result | ||
| ) |
Predict the segmentation result for an input image.
- Parameters
-
[in] fd_c_paddleseg_model_wrapper pointer to FD_C_PaddleSegModelWrapper object [in] img pointer to cv::Mat image [in] fd_c_segmentation_result pointer to FD_C_SegmentationResult object, which stores the result.
