Perform Dataset Testing in Batches under Operation Mode
Introduction
You can perform batch-wise testing on the dataset in the Operation Mode. This feature is for the Defect Segmentation module and the Classification module. It is unavailable under the cascade mode.
After model training, select in the menu bar to open the window of Operation Mode.
Once data is imported, you need to perform a manual check.
After data check, click the Export report button to get a report on accuracy, GPU usage, inference time, etc.
Use the Operation Mode
Steps
-
Select data source
Regarding Data Source, you can select Mech-DLK or Folder.
Mech-DLK Use all images in the current project to demonstrate the performance of the trained model.
Folder Use massive new data for model testing. After selecting the image folder path, import all images in the folder as a new dataset. The new dataset imported will be independent of the original datasets in the project.
If some new images were imported into the current project, in addition to the training set and validation set, these new images will also be imported when you select Mech-DLK as the data source. -
Load the model
Click Load Model. After loading successfully, click Next to enter the inference interface.
-
Inference
Click
to start the inference. Once inference is completed, relevant data such as inference time and GPU usage will be displayed under Running information. -
Perform a manual check
Perform a manual check on inference results. Click
when the inference result is correct and click 
when the inference result is incorrect. -
Export the report
After the manual check, you can click Export report to learn about the inference time, GPU usage, accuracy, etc.