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You will be guided throughout the main functionalities of our software, using this module.
Training
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The input for training involves classifying at least 1 image as ‘OK’ class.
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| Note |
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Attention: For 3. [SET BY FILENAME], please note that if the filename standard is, for instance, ‘testpart_OK52’, you would have to type ‘testpart_OK' - if you type only ‘OK’ as part of the name it won’t classify, as it classifies literally by prefix. Another approach is to check the Regex checkbox which allows you to write regular expressions instead of prefix - then if you write only ‘OK’ it matches all images which contain ‘OK’ anywhere in their name. |
| Info |
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Assigning at least 1 image as ‘OK’ |
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already enables you to Start Training, but we usually recommend using at least 10 to 20 OK images for optimal results, depending on the surface variability. |
Type - Fast
Fast is the first type of Anomaly Detector, which uses viewfinder size parameter and its number of training epochs is set in the training settings. It offers faster inference than the Precise type.
View-finder
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