Text Detection
The following parameters need to be adjusted when the text detection model package is imported into this Step.
Model Package Settings
- Model Package Management Tool
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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
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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
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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
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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
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Parameter description: This parameter is used to configure parameters related to text detection model package inference. You can click Open the editor to open the inference configuration window. The parameter and its 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 text detection. The results above this threshold will be kept.
please set the parameter according to your actual needs.
- Text Detection Confidence Threshold (0.0–1.0)
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Default value: 0.7000
Tuning instruction: The results above this threshold will be kept.
ROI settings
- ROI Path
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Parameter description: This parameter is used to set or modify the ROI.
Tuning instructions:
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Once the deep learning model is imported, a default ROI will be applied. If you need to edit the ROI, click Open the editor.
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Edit the ROI in the pop-up Set ROI window, and fill in the ROI name.
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If you would like to use the default ROI again, please delete the ROI name below the Open the editor button. |
Visualization Settings
- Detection Result Visualization
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Parameter description: This parameter is used to determine whether to display the mask and bounding box on the image.
Default value: Unselected.
Tuning recommendation: Please set this parameter according to your actual needs.
- Manually Font Scale
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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)
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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
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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.