Deep Learning With Apache MXNet On Video by Ben Taylor @ ziff.ai
This talk will go over using Apache MXNet on video streams such as security footage from Ring, or live XBOX video data to perform inference and indexing. This can be used to classify video events, detect anomalies in normal behavior, and search. This talk will focus on using FFMPEG for feeding Apache MXNet models for fast inference throughput and performance. This talk will also discuss the difference between frame level inference, and frame buffer inference (comprehending a temporal video event). Links to videos on the slides: IntelAct: Winner, Visual Doom AI Competition, Full Deathmatch: https://www.youtube.com/watch?v=947bSUtuSQ0 GPU assisted call of duty processing, prep for AI auto-play: https://www.youtube.com/watch?v=gTXOYzSC_ZE Presented at https://www.meetup.com/deep-learning-with-mxnet/events/258901722/
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Deep Learning With Apache MXNet On Video by Ben Taylor @ ziff.ai
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- 14. g0 g100
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- 47. . REGION OF INTEREST .
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Editor's Notes
- HireVue: Shock the world on your depth of the problem