Mech-DLK 2.5.2 Release Notes

You are viewing an old version of the documentation. You can switch to the documentation of the latest version by clicking the top-right corner of the page.

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.

  • Supported modules: Instance Segmentation, Object Detection, Classification, Defect Segmentation, and Text Detection.

  • Prerequisites: The pre-labeling feature is available only when the current module contains validated models.

  • The pre-labeling feature can be performed only on the following three types of data:

    • Unlabeled data

    • Automatically labeled data (images with a yellow triangle at the front of the image number)

    • Manually fine-tuned data after automatic labeling (images with a yellow triangle at the front of the image number)

  • Three methods to perform the pre-labeling operation:

    • the Pre-labeling Tool in the labeling toolbar

    • the Pre-label button in the upper part of the image list

    • the Pre-label option in the right-click menu

    For more information, see Pre-labeling.

Added the Image Tag Drop Down List

The Image tag drop down list is now available when you use cascaded modules 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.

Added the Label Merging Feature

Mech-DLK 2.5.2 added the label merging feature. When you select a label, you can right-click the label and select Merge Into to change the data in the current class to another class.

  • Supported modules: Classification, Instance Segmentation, and Object Detection.

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.

  • 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 cascaded modules):

  • 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.

  • 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:

  • Fixed the issue that the verification results were also displayed in single image masks or global masks configured in the Defect Segmentation module.

  • Fixed the issue that global masks configured in the Defect Segmentation module did not scale proportionally to the size of images.

  • Fixed the software crash caused by unusual operations when using the Rectangle Tool.

We Value Your Privacy

We use cookies to provide you with the best possible experience on our website. By continuing to use the site, you acknowledge that you agree to the use of cookies. If you decline, a single cookie will be used to ensure you're not tracked or remembered when you visit this website.