Classification 1: Introduction and Preparation of the Dataset – HALCON Deep Learning

Описание: In the first part of this tutorial series on deep-learning-based classification with MVTec HALCON, you will learn what classification actually is, and what kinds of applications it can be used for.


Then, we will have a look at the first program of an HDevelop example series on HALCON classification. Within this program, we will learn how to read and split a dataset.



Next, we preprocess the labeled data to be suitable for the deep learning model. Then, you will be ready for training, which we will learn about in the next video.


0:00 Intro
0:22 Introduction of the technology
1:20 Working with the HDevelop example classify_pill_defects_deep_learning_1_preprocess.hdev
1:53 Read the dataset
2:33 Split the dataset for training, validation, and testing
3:30 Preprocess the dataset


In this video, a pre-release version of HALCON 21.05 is used.
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