Documentation

Process

Function Usage

Receives the model inference output tensors and outputs the semantic segmentation result. During subsequent execution, execute Init first.

Prototype

virtual APP_ERROR Process(const std::vector<TensorBase>& tensors, 
			  std::vector<SemanticSegInfo>& semanticSegInfos,
                          const std::vector<ResizedImageInfo>& resizedImageInfos = {},
                          const std::map<std::string, std::shared_ptr<void>> &configParamMap = {});

Parameter Description

Parameter

Input/Output

Description

tensors

Input

Input tensors for model post-processing

semanticSegInfos

Output

Output information such as the semantic segmentation pixel value and class mapping table

resizedImageInfos

Input

Image information (including the original and resized widths and heights)

configParamMap

Input

(Optional) Other parameters

Return Parameter Description

Data Structure

Description

APP_ERROR

Error code returned during program execution. For details, see the MxBase/ErrorCode/ErrorCode.h file.