Process
Function Usage
Receives the model inference output tensors and outputs the semantic segmentation result. During subsequent execution, execute Init first.
Prototype
1 | virtual APP_ERROR SemanticSegPostProcessBase::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 = {}); |
Parameters
Parameter |
Input/Output |
Description |
|---|---|---|
tensors |
Input |
Input tensors for model postprocessing. |
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. |
Response Parameters
Data Structure |
Description |
|---|---|
APP_ERROR |
For details about the returned error codes, see APP_ERROR Description. |
Parent topic: SemanticSegPostProcessBase