Complex video analysis made easy with Videoflow (Ep. 69)
Episode 63 of the Data Science at Home podcast, hosted by Francesco Gadaleta, titled "Complex video analysis made easy with Videoflow (Ep. 69)" was published on July 16, 2019 and runs 30 minutes.
July 16, 2019 ·30m · Data Science at Home
Summary
In this episode I am with Jadiel de Armas, senior software engineer at Disney and author of Videflow, a Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment. I have inspected the videoflow repo on Github and some of the capabilities of this framework and I must say that it’s really interesting. Jadiel is going to tell us a lot more than what you can read from Github References Videflow Github official repository https://github.com/videoflow/videoflow
Episode Description
In this episode I am with Jadiel de Armas, senior software engineer at Disney and author of Videflow, a Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.
I have inspected the videoflow repo on Github and some of the capabilities of this framework and I must say that it’s really interesting. Jadiel is going to tell us a lot more than what you can read from Github
References
Videflow Github official repository https://github.com/videoflow/videoflow
Similar Episodes
Apr 13, 2026 ·4m
Apr 12, 2026 ·5m
Apr 11, 2026 ·5m
Apr 10, 2026 ·4m
Apr 9, 2026 ·3m
Apr 8, 2026 ·3m