# Import a SuaKIT Classification Project

If you have SuaKIT projects that you want to import to VisionPro Deep Learning Tool, you can use import plug in. SuaKIT Classification project will be imported as a Standard type Green Classify tool. Depending on the model A specific spatial arrangement of a set of features (Blue Locate and Blue Read tools only.) During a post-processing step, the Blue Locate and Blue Read tools can fit all of the features detected in an image to the models defined for the tool. The overall pose and identity of the model is then returned. type you want to import, there are some difference in what you can load.

SuaKIT Single Classification Project (Imported as Green Classify) | Labels | Labeled regions | ROI The Region of Interest (ROI) defines the area of operation for the tool. The ROI preserves the positions, angles, stretch and skew of the original image. | Mask | Training set | Tool parameters* | SuaKIT Model
--- | --- | --- | --- | --- | --- | --- | ---
| O | X | O | O | O | X | X

* Tool parameters: This means all options in tool parameter panels except for number of training Training is the process that your tool, which is a neural network, is learning about the features (pixels) based on the labels you made. For example, a tool will learn the defect/normal pixels in each image based on the defect/normal labels you drew. The goal of the tool Training is learning enough to give the correct inspection results of whether an unseen image is defective or not. The key to training is to ensure that you include all possible variations within your training set, and that your images are accurately labeled. Training times vary by the application, tool setup and the GPU in the PC being used to train the network. set.

If you change labels, labeled regions, ROI, etc. after you created a model in SuaKIT, you can only import those with the latest version. This is because that SuaKIT only saves the current version of images, regions and training set.

It takes about 20 minutes to import 15,000 images.

Note: Pixel-wise label of SuaKIT classification project cannot be imported. In SuaKIT, you can add pixel-wise labels in classification project. However, pixel-wise label is not supported in Standard type. Therefore, when you import SuaKIT classification project with pixel-wise labels, it will lose only pixel-wise label information but import the other information (image, ROI, masks, image-wise labels(tags), and training set).

## Import a SuaKIT Classification Project without Trained Model

1. Go to Plugins - Manage Plugins
2. Click Add button on Plugin Manager

3. Select and add SuaKitMigration.VPlugin.dll.

4. Click Close to exit Plugin Manager

5. Go to Plugins - Import SuaKIT Project

6. Find directories to import SuaKIT Classification Project file (.sua)

7. When you click ‘OK’ button, it will start to import information of SuaKIT project including images, ROI, masks, and labels.
8. After the import is finished, you can find the imported workspace in the workspace list. When you open the workspace, you will see that there is a Standard type Green Classify tool in the workspace.
9. You can import training set but not tool parameters including validation set The validation set is a set of images reserved for validation. The validation set is separate from the training set and test set. Since the validation set is separate, it allows you to evaluate how well the tool performs when using unseen images. The VisionPro Deep Learning application calculates a special metric, the Loss. The Loss is based on the performance of the tool on the validation set. ratio.
10. Train set and validation Validation refers to a process during the training of a tool that helps to evaluate performance. Validation is like a mock exam that the tool takes during the training phase, separate from the final test. For example, validation helps you to recognize overfitting and avoid wasting time when training a tool. If you recognize that the tool is overfitting, you can stop the training early. set in SuaKIT will be imported as training set. Also, you can check them in ‘SuaKIT Train’ set in Database Overview. Test set in SuaKIT will be not trained views. Also, you can check them in ‘SuaKIT Test’ set in Database Overview.

## Import a SuaKIT Classification Project with Trained Model

1. Go to Plugins - Manage Plugins
2. Click Add button on Plugin Manager
3. Select and add SuaKitMigration.VPlugin.dll.
4. Click Close to exit Plugin Manager
5. Go to Plugins - Import SuaKIT Project
6. Find directories to import SuaKIT Classification Project file (.sua)
7. Click ‘OK’ button, and you can import images, ROI, masks, labels and training set information.
8. You can find a Standard type Green Classify tool when you finish.