Description
The ability to detect, track, and analyze faces opens up a wide range of interesting use cases, ranging from interactive smart applications and real- time video processing, all the way to biometric security and augmented reality.
This talk will showcase the available tools built by the Python community and their corresponding pros & cons, limitations, and complexity. While discussing the possible scenarios and what is actually required to DIY with Python, I will compare such handmade solutions with Cloud-based products and APIs.
Prerequisites: basic understanding of Python’s data science stack (especially numpy).