Youtor
DeepLearningBased Anomaly Detection with MVTec HALCON
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=NI6ITCGMhjI
In this tutorial you will learn how to train a deep-learning-based Anomaly Detection model for your own application. First, we will take a look at the use cases and advantages of anomaly detection. Then we’ll go through the workflow step by step. We start with default preprocessing as well as with application-specific preprocessing. Afterwards the training parameters will be explained and the trained model will be evaluated. Finally, we talk about the thresholds that define when a region or an image is classified as anomalous and visualize the inference results. • 0:13 Introduction to anomaly detection • 1:00 An example application • 3:25 Preprocess the dataset • 4:32 Train the model • 5:56 Evaluate the model • 8:10 Visualize the inference results • HALCON 20.05 is used in this tutorial. • www.mvtec.com • www.halcon.com • • If you have any wishes or comments regarding our videos, feel free to use our video feedback form: https://www.mvtec.com/services-suppor...
#############################
