Detailed Description of Changes in HALCON 23.11.0.3 Progress (Hotfix)
The changes in HALCON 23.11.0.3 Progress are described with respect to HALCON 23.11.0.2 Progress.
General
- Global Context Anomaly Detection (GC-AD) models could not be optimized
correctly to HAILO-8 AI² Plugin and hardware.
This hardware only allows int8 calibration precision. The calibration result showed faulty anomaly
images, which led to very poor segmentation results and incorrect classification results. This
problem has been fixed.
Now, optimize_dl_model_for_inference
converts the GC-AD models so that the quantitative results are very similar to full precision
float32 models.
It is necessary to calibrate GC-AD models with the new version again using optimize_dl_model_for_inference.
It is also necessary to adjust the classification/segmentation thresholds for best results after
calibration.
Release Notes of Previous HALCON Versions
Follow this link to read about the changes of previous HALCON versions.