Release Notes

Mech-DLK 2.4.1 has added a brand-new cascade mode of modules, which enables the combination of modules to solve deep learning problems in complex scenarios. It should be noted that when the Fast Positioning module is involved, it must be the first module. For example, when you need to detect the positions of defects and classify these defects, you can first add a Defect Segmentation module and then add a Classification module. In addition, when import data from the previous module, you can select images according to actual needs and configure the import of these images in the Import window.

The Training Center supports the training of models in a queue, which is suitable for scenarios requiring the training of multiple models. With the Training Center, the software can train models in sequence, no need of manual clicking of Train repeatedly, which can save a huge amount of time.

In the Defect Segmentation module, when you select the Mask Polygon Tool, the mask type can be Mask single image or Mask globally. In addition, you can customize the mask color.

Click in the lower right corner of the selection region to open the window of keyboard shortcuts.

In the Instance Segmentation and Object Detection modules, auxiliary labeling lines are added for the Rectangle Tool to assist rectangular selection on images.

In the Instance Segmentation and Object Detection modules, a confidence filtering function is added for validation results. You can adjust the confidence to filter the validation results and then evaluate the accuracy of models.

The Classification module is optimized, which leads to faster training convergence and a growth rate of 20% in accuracy under complex scenarios.

Mech-DLK SDK is more stable and easier to use after being restructured. Mech-DLK SDK supports the inference based on the cascaded modules and the switching between different operating hardware. In addition, it provides richer samples for reference.

The defect determination rule in the Defect Segmentation module is optimized. Click here to view the details.

In the Image Adjustment window of the Fast Positioning module, you can translate the image along the X and Y axes. After training, images with objects in specified positions and orientations will be generated, which meets the requirements of more application scenarios.

In the Instance Segmentation and Object Detection modules, after selecting the Template Tool, press and hold the Shift key and scroll the mouse wheel to adjust the angle of the template. You can also set the Rotation angle to achieve the same purpose.