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We present a system that converts annotated broadcast video of tennis matches into interactively controllable video sprites that behave and appear like professional tennis players. Our approach is based on controllable video textures, and utilizes domain knowledge of the cyclic structure of tennis rallies to place clip transitions and accept control inputs at key decision-making moments of point play.
The field has seen tremendous advances during the recent explosion of progress in machine learning techniques.
Photo restoration which prioritizes restoring faces. In this video I combined and compared colorization, upscaling, and image super-resolution.
This is an educational resource produced by OpenAI that makes it easier to learn about deep reinforcement learning.
Google Analytics is a powerful analytics tool found in an astonishing number of websites. In this tutorial, we will take a look at how to access the Google Analytics API (v4) with Python and Pandas. Additionally, we will take a look at the various ways to analyze your tracking data and create custom reports.