Classification

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The following parameters need to be adjusted when the classification model package is imported into this Step.

Model Package Settings

Model Package Management 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” or “.dlkpackC” file exported from Mech-DLK.

Tuning instruction: Please refer to Deep Learning Model Package Management Tool for the usage.

Model Name

Parameter description: This parameter is used to select the model package that has been imported for this Step.

Tuning instruction: Once you have imported the deep learning model package, you can select the corresponding model name in the drop-down list.

Model Package Type

Parameter description: Once a Model Name is selected, the Model Package Type will be filled automatically, such as Object Detection (single model package) and Object Detection + Defect Segmentation + Classification (cascaded model package).

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.

Inference Configuration

Parameter description: This parameter is used to configure parameters related to classification model package inference. You can click Open the editor to open the inference configuration window. The parameters and their description included in this window are shown in the following table.

Parameter Parameter Description Tuning Instruction

Confidence Threshold

This parameter is used to set the confidence threshold in the process of classification. The results above this threshold will be kept.

Please set the parameter according to your actual needs.

Show Class Activation Map (“Show All Parameters” Enabled)

This parameter is used to display the class activation map for identifying the image regions that are most relevant to the classification. Blue indicates that the region contributes the least to the classification while red indicates that the region contributes the most to the classification.

In Mech-Vision 1.7.2 and above, when Show Class Activation Map is selected, the model package inference is slow.

ROI settings

ROI Path

Parameter description: This parameter is used to set or modify the ROI.

Tuning instruction: Once the deep learning model is imported, a default ROI will be applied. If you need to edit the ROI, click Open the editor. Edit the ROI in the pop-up Set ROI window, and fill in the ROI name.

Before the inference, please check whether the ROI set here is consistent with the one set in Mech-DLK. If not, the recognition result may be affected.

During the inference, the ROI set during model training, i.e. the default ROI, is usually used. If the position of the object changes in the camera’s field of view, please adjust the ROI.

If you would like to use the default ROI again, please delete the ROI file name below the Open the editor button.

Visualization Settings

Manually Font Scale

Parameter description: This parameter determines whether to customize the font scale in the visualized output result. Once this option is selected, you should set the Font Scale (0–10).

Default value: Unselected.

Tuning recommendation: Please set this parameter according to your actual needs.

Font Scale (0–10)

Parameter description: This parameter is used to set the font scale in the visualized output result.

Default value: 3.0

Tuning recommendation: Please set this parameter according to your actual needs.

Show All Results

Parameter description: This parameter is used to visualize all inference results of the cascaded model package. It can only be set when the Deep Learning Model Package Inference Step is used for cascaded model package inference.

Tuning recommendation: Please set this parameter according to your actual needs.

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