Overview
Inferencer Options offer settings that influence how the model processes input data to make predictions or inferences.
InferencerOptions()
InferencerOptions.InferencerOptions()
Description: Constructs a new InferencerOptions object. Use this to create a new set of inference options for customizing how the OCR model will be executed. This is often the first step before setting any specific parameters, particularly when default settings do not meet your requirements.
runtimeProcessorOrder
int InferencerOptions.runtimeProcessorOrder[]
Description: Specifies the preferred processor for running the model:
- 0 - (Default) CPU
- 1 - GPU
- 2 - DSP
Adjust this setting to optimize performance based on available hardware. Use GPU or DSP for faster processing if available, especially in environments with high-performance requirements or when running on devices with specialized processors for machine learning tasks.
defaultDims
DynamicDimensions InferencerOptions.defaultDims
Description: Specifies the image dimensions, height and width in pixels, when required for OCR processing. This is important when processing non-standard image sizes or when consistent input dimensions are needed across different devices or use cases.
Type: {width, height}
Default { -1, -1} (No dimensions are enforced.)