[RB] Complex video analysis made easy with Videoflow (Ep. 75)
Episode 71 of the Data Science at Home podcast, hosted by Francesco Gadaleta, titled "[RB] Complex video analysis made easy with Videoflow (Ep. 75)" was published on August 29, 2019 and runs 30 minutes.
August 29, 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
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