[Tutorials] Anomaly Detection example MVTec PatchSVDD

[mansishr]

In this PR, the problem of image anomaly detection and segmentation is addressed. Anomaly detection involves making a binary decision as to whether an input image contains an anomaly, and anomaly segmentation aims to locate the anomaly on the pixel level. The deep learning variant of support vector data description (SVDD) algorithm is extended to the patch-based method using self-supervised learning. This extension enables anomaly segmentation and improves detection performance. Industrial dataset is used for this tutorial - MVTec AD dataset