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Evaluation can be used in the following modules:

Anomaly of SurfaceDetector

Classifier

Detector

Surface Detection

Measure

OCR

If one of the modules in flow uses evaluation, this evaluation will affect next modules. In case the next module uses evaluation as well it will overwrite the results of previous evaluation.

When you use parallelism, a boolean operator AND is used among the branches. That means if one of the branches has a NOK result, the overall result will be NOK as well.

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Anomaly

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Detector

Evaluation considers sizes the amount of anomalies and compares it with a threshold value. More information on calculating the threshold can be found here. If the values are bigger than the threshold, image is evaluated as NOK, otherwise it is considered OK.

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