VAD Release Note
v1.2.0
July. 16, 2024
New Feature
- Develop percentile auto-selection function according to NG ratio of validation data
- Add overkill_intensity parameter
Improvements
- Reducing running time of inference pipeline.
Compatibility: ALO v2.4.2
v1.1.0
July. 16, 2024
New Feature
- Add image augmnetation function: brightness, contrast, saturation, hue, rotation, blur, grayscale
Compatibility: ALO v2.4.2
v1.0.0
June. 11, 2024
New Feature
- Introducing Vision Anomaly Detection(VAD) for image anomaly detection, which can select state-of-the-art PyTorch models, FastFlow and PatchCore.
- Trained exclusively on normal images, enabling effective anomaly detection without the need for abnormal image labels.
- According to infrastructure, you can run it on either CPU or GPU.
Bug Fixes
- Unify label for abnormal data as 'abnormal'
Compatibility: ALO v2.4.2