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DeepLTK Anomaly Detection Addon by Ngene - Toolkit for LabVIEW Download
Anomaly Detection Addon for DeepLTK
Discussion
| Version | 2.1.2.24 |
| Released | Apr 24, 2025 |
| Publisher | Ngene |
| License | Ngene Custom |
| LabVIEW Version | LabVIEW>=20.0 |
| Operating System | Windows |
| Dependencies | ngene_lv_dnn_deep_learning_toolkit |
| Project links | Homepage Documentation Repository Discussion |
Description
DeepLTK Anomaly Detection Addon
The DeepLTK Anomaly Detection Addon enables high-performance, unsupervised visual anomaly detection, ideal for defect detection, industrial inspection, and outlier identification.
Key Features
High-Speed Training: <1 min (GPU), ~5 min (CPU)
Fast Inference: <10 ms (GPU), ~300 ms (CPU)
High Accuracy: >95% on 80+ datasets
Unsupervised: Learns from normal samples only - no annotations needed
Few-Shot Learning: 100s of good images can achieve near-perfect accuracy
Versatile: Ideal for manufacturing, medical imaging, and predictive maintenance
Examples: https://github.com/ngenehub/deepltk_examples/tree/main/3_Image_Processing/36_Anomaly_Detection
Tutorials: https://www.ngene.co/post/deepltk-tutorial-3-6-visual-anomaly-detection
Release Notes
v2.1.2
1. Added possibility for specifying multi-step downsampling for image preprocessing.
2. Fixed stride-based feature extraction to exclude selecting intermediate layers from branches.
3. Added functionality to destroy embeddings after coreset selection on CPU.
4. NNPC_Predict API is updated to return empty anomaly maps if "Calculate Anomaly Map?" is set to False.
5. NNPC_Eval API optimized to skip calculating statistics if anomaly maps are empty.
6. Threshold selection optimization. If image AUROC is 100%, the threshold is set to the midpoint between good and bad scores.
7. Enabled showing call chain error across APIs.
8. Replaced CuLab's Get_Exec_Time API with DeepLTK's NN_Get_T_dT API.
9. Removed redundant CU_Stream_Synchronize API calls from NNPC_Generate_Embedding API.
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