| Tutorial, Deep Learning, HALCON

HALCON Deep Learning Basics: Workflow, data & model

In this tutorial, we’ll have a look at the recommended workflow when working with deep learning in MVTec HALCON.

Thanks to the common model-based operators, all available deep learning methods, (like classification, object detection, and more) have very similar approaches in HALCON.

Based on the workflow, there are also numerous HDevelop examples that can help you develop your own application. To understand how to adapt the code exactly to your needs, you’ll also learn what the data structures, like the dataset and samples, look like.

Screenshot deep learning basics workflow data and model

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