Introduction to MVTec Deep Learning Tool
The MVTec Deep Learning Tool V0.4.3 has added model training and evaluation features based on its image classification and object detection annotation capabilities. This feature helps customers train deep learning models and provides relevant evaluation information, including heatmaps of predicted categories and confusion matrices for inference images. In the DeepLearningTool (referred to as DLT), users can click on the evaluated confusion matrix to observe the classification status of each category. Meanwhile, the new version of DLT also provides inference time statistics, allowing users to better understand the inference performance of the model.

DLT Model Training Function
After double-clicking to open the DLT tool, users can create a specified project in the new project tab, taking the classification project as an example:


After completing the creation of the classification project, select the add image folder button (using the HALCON-provided pill image folder as an example).

Select the root directory of the images and click the “Add Folder” button.

After adding the image folder, users can see that the DLT tool has categorized the images according to the folder levels.

In this tab, click the “Import and Annotate Images” button to import the sample dataset. After doing so, you will see that all six tabs: “Project”, “Gallery”, “Images”, “Review”, “TRAINING”, and “EVALUATION” are now activated.

Project: Preview previously opened DLT projects
Gallery: Preview all images in the current project
Images: Preview the currently selected image
Review: Preview annotation information for the entire dataset
TRAINING: Provides training functionality for the current project
EVALUATION: Provides model evaluation functionality
Clicking on the training tab will show the following GUI information:

Among them, “DATASPLIT” indicates the sample distribution status, and customers can divide the dataset according to actual conditions. Here, samples are divided in a ratio of 70, 15, 15.
After the sample division is complete, hyperparameters for this training process can be configured in the “SETTING” tab:

It is worth mentioning that DLT V0.4.3 supports training on both CPU and GPU platforms, and the pre-trained models have added Alexnet and mobilenetv2 on top of compact, enhanced, and resnet-50. Users can choose the appropriate model for training based on their needs.

Switching to the RESULTS tab allows you to see the training process:

Clicking the left arrow symbol allows you to export the trained model:

EVALUATION – Evaluation
After training, you can evaluate the test set in the EVALUATION tab:

In the CONFUSION MATRIX, you can see the output confusion matrix. It is noteworthy that the confusion matrix provided by the DLT tool is interactive, allowing users to click on the contents of the confusion matrix to observe the evaluation status of the model.

If you need to purchase or try the product, please call the Daheng Imaging customer service hotline: 400 999 7595. We will continue to provide you with reliable products, advanced technology, and attentive service!
Contact Information
Hotline: 400-999-7595
Daheng Imaging (Group) Co., Ltd. Beijing Imaging Visual Technology Branch Website: www.daheng-imaging.com Email: [email protected] Headquarters Address: 12th Floor, North Building, Daheng Technology Mansion, No. 3 Suzhou Street, Haidian District, Beijing (100080) Switchboard: 010-82828878
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Xiamen Office
Address: Room 803-1, Building B03, Software Park Phase III, Jimei District, Xiamen
Phone: 0592-5500803
Northeast Region Agent Harbin Sanhe Micro-nano Technology Co., Ltd. Address: Room 1617-1618, Teaching Electronics World, West Dazhi Street, Harbin (150001) Phone: 0451-86262530

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