Object Detection

Image

Image/Color

Image input to this port will be used for deep learning model package inference. Displays when the input data type is 2D image.

Surface data

Surface

Surface data input to this port will be used for deep learning model package inference. Displays when the input data type is Surface data.

Visualize outputs

Image/Color

Visualized results.

Bounding box of target object

Shape2D/Contour[]

Bounding box for detection results. This port is displayed when the input data type is 2D image.

Image of the target object

Image/Color

The image cropped from the input image based on the detection result bounding box.

Object confidences

Number[]

Confidence of the detection result.

Object labels

String[]

The label of the inspection result.

Bounding box mask of target object

Image/Color/Mask[]

Square mask of the bounding box of the target object. Regions with non-zero pixel values represent the mask. This port is displayed when the input data type is 2D image.

Bounding box inner surface data

Surface[]

Rectangular surface data within the target bounding box. This port is displayed when the input data type is Surface data.

Model manager tool

Parameter description: This parameter is used to open the deep learning model package management tool and import the deep learning model package. The model package file is a .dlkpack file exported by Mech-DLK.
Tuning instruction: Refer to Mech-DLKDeep Learning Model Package Management ToolMech-DLK for the usage.

Model name

Parameter description: After a Deep Learning Model Package is imported, this parameter is used to select the imported model package for this step.
Tuning instruction: After importing a deep learning model package with the Deep Learning Model Package Management Tool, select the corresponding model package name from the drop-down list.

Release original model package after switching

Description: Controls whether the resources used by the original model package are released upon the switch.
Default setting: Selected.
Instruction: If selected, when the Step switches to another model package, the system immediately releases the resources of the original model package, even if it is still used by other Steps. If not selected, the system releases the resources of the original model package only when it is no longer used by any Step.

Model package type

Parameter description: Once a Model Name is selected, the Model Package Type will be filled automatically.

Input batch size

Description: The number of images processed during each inference.

GPU ID

Parameter description: This parameter is used to select the device ID of the GPU that will be used for the inference.
Tuning instruction: Once you have selected the model name, you can select the GPU ID in the drop-down list of this parameter.

Input data type

Description: This parameter is used to specify the type of input data. The corresponding input ports will be displayed after the parameter is selected. Support 2D image and surface data input.

ROI path

Inference configuration

Parameter description: Configures the inference settings for the object detection model package inference. Click Open the editor to open the inference configuration window.
Instruction: Refer to Inference Configuration Tool for detailed parameter description.

Class Display Mode

Parameter Description: Selects whether to display classes by name or by index in the output results.

Draw result on image

Description: Once enabled, the detection result will be displayed on the image.
Default value: Disabled.
Instruction: Set the parameter according to the actual requirement.

Customize Font Size

Parameter description: This parameter determines whether to customize the font size in the visualized outputs. Once this option is selected, you should set the Font Size (0–10). The default value is 1.5.
Default value: Disabled.
Instruction: Set the parameter according to the actual requirement.