Deep Learning Model Package Inference

Function Description

Performs inference on exported single-level model packages and outputs inference results.

Use Cases

Commonly used for image classification, object detection, defect segmentation, and other scenarios.

Inputs

  • Color Image: The input image used for deep learning model package inference.

Outputs

  • Object Pixels and Masks: Outputs the pixels and masks of the object.

  • Object Confidence: Outputs the confidence corresponding to the object pixels and masks.

  • Object Classification Label: Outputs the classification label corresponding to the object.

Parameters

Model Package Settings

  • Model Package Management Tool: Click “Open Editor” to import deep learning model packages from the pop-up page. The model package file is the “.dlkpack” or “.dlkpackC” file exported by RVS 2.0.

  • Model Package Name: Select the name of the imported model package.

  • Inference Configuration: Click “Open Editor” to configure inference settings from the pop-up page.

ROI Settings

  • ROI File: Displays the name of the currently used ROI file.

    Click “Open Editor” to configure ROI from the pop-up page.