October 2017
Intermediate to advanced
330 pages
7h 7m
English
Content preview from Python Deep Learning Cookbook
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Real-time detection frameworks
In some applications, the detection model we've implemented before is not sufficient. For these applications—where real-time perception is important in order to be able to actuate as quickly as possible—we need a model that is able to detect objects in near real time. The most popular real-time detection frameworks are faster-RCNN, YOLO (You Only Look Once), and SSD (Single-Shot Multibox Detector). Faster-RCNN has shown higher accuracy in benchmarks, but YOLO is able to infer predictions more quickly.
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