deep learning - Real Time Object detection using TensorFlow -

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i have started experimenting deep learning , computer vision technologies. came across awesome tutorial. have setup tensorflow environment using docker , trained own sets of objects , provided greater accuracy when tested out.

now want make same more real-time. example, instead of giving image of object input, want utilize webcam , make recognize object of tensorflow. can guys guide me right place start work?

you may want @ tensorflow serving can decouple compute sensors (and distribute computation), or our c++ api. beyond that, tensorflow written emphasizing throughput rather latency, batch samples as can. don't need run tensorflow @ every frame, input webcam should in realm of possibilities. making network smaller, , buying better hardware popular options.


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