Mech-DLK 2.5.2 Release Notes
This section introduces the new features, improvements, and resolved issues of Mech-DLK 2.5.2.
New Features
Added the Pre-labeling Feature
After you validate a model, you can import new image data to the current module and use the pre-labeling feature to perform auto-labeling based on this model. You can fine-tune the results after labeling is completed.
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Supported modules: Instance Segmentation, Object Detection, Classification, Defect Segmentation, and Text Detection.
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Prerequisites: The pre-labeling feature is available only when the current module contains validated models.
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The pre-labeling feature can be performed only on the following three types of data:
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Unlabeled data
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Automatically labeled data (images with a yellow triangle at the front of the image number)
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Manually fine-tuned data after automatic labeling (images with a yellow triangle at the front of the image number)
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Three methods to perform the pre-labeling operation:
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The Pre-labeling Tool in the labeling toolbar
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The Pre-label button in the upper part of the image list
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The Pre-label option in the right-click menu
For more information, see Pre-labeling.
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Added the Image Tag Drop Down List
The Image tag drop down list is now available when you use a cascading module and import data from the previous module. You can select the tag that you need to import corresponding images. For more information, see Use Cascaded Modules.
Improvements
Supported the Import of Datasets in the COCO Format
Some modules in Mech-DLK 2.5.2 allow you to import datasets in the COCO format.
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Supported modules: Instance Segmentation and Object Detection.
Integrated the Data Import and Export Features
In Mech-DLK 2.5.2, the Import button in the upper-left corner of the user interface is replaced by an Import/Export button, which integrated the data import and export features.
You can perform the import and export operations more easily.
Optimized the Data Export Settings
Mech-DLK 2.5.2 optimized the data export settings (also applicable to cascading modules):
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Export all data from the current module: In the upper-left corner of the user interface, click the Import/Export button, then select Export Dataset.
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Export part of the data from the current module: In the image list, select one or more images, then right-click and select Export Dataset.
Resolved Issues
The following issues have been resolved in Mech-DLK 2.5.2:
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Fixed the issue that the verification results were also displayed in single image masks or global masks configured in the Defect Segmentation module.
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Fixed the issue that global masks configured in the Defect Segmentation module did not scale proportionally to the size of images.
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Fixed the software crash caused by unusual operations when using the Rectangle Tool.