Feature Similarity Index Metric (FSIM) is an image quality assessment metric proposed by Zhang et al. in 2011. This paper will implement its algorithm functionality using Python.
Continuing from the previous section, this article will delve into how to utilize YOLOv8 to train a custom dataset annotated by Label Studio, as well as how to employ Python to save the inferred video results locally.
This article will elucidate the process of integrating Algolia to enhance the search capabilities of a website, using VuePress as the exemplar for a blog site.