inayatkh / realTimeObjectDetection

This is a demonstration of a MobileNetSDD object detector for achieving a very high frame per secons(FPS)
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caffe deep-learning deep-neural-networks opencv3 python3

Real-time Object Detection with deep MobileNetSSD detector

MobileNetSSD

This is an efficient use of a deep detector usinf python 3, Caffe and openCV.

In order to achieve a very high frame rate (FPS) , we have used VideoStream class of imutils for python 3.

A class name SSD has been implemented for loading the MobileNetSSD model using Caffe, and manipulating other required pre and post processing.

To run this code, follow these steps

An example of the output is shown bellow

you can watch the full video here