Caffe-SSD-Object-Detection

Object Detection using Single Shot MultiBox Detector with Caffe MobileNet on OpenCV in Python.

SSD Framework

Single Shot MultiBox Detectors can be divided into two parts:

• Extracting Features using a base network
• Using Convolution Filters to make predictions

This implementation makes use of the MobileNet deep learning CNN architecture as the base network.

Caffe Framework

Caffe is a deep learning framework developed by the Berkely AI Research and Community Contributors. Caffe repo. It is a much faster way of training images with over 6 million images per day using an Nvidia K-40 GPU

Run code

python detectDNN.py -p Caffe/SSD_MobileNet_prototxt -m Caffe/SSD_MobileNet.caffemodel

Article

Medium