Object Detection Using Mobilenet Single Shot Detector
Made by nilutpolkashyap
About the project
The Google Coral Camera attached to the NavQ board is able to detect objects like cat, dog, car, etc.
Project info
Items used in this project
Story
By using SSD, we only need to take one single shot to detect multiple objects within the image, while regional proposal network (RPN) based approaches such as R-CNN series that need two shots, one for generating region proposals, one for detecting the object of each proposal. Thus, SSD is much faster compared with two-shot RPN-based approaches.
I used the dnn module (Deep Neural Networks) of OpenCV for loading the caffe and prototxt files.
I found the MobileNetSSD_deploy.prototxt.txt and MobileNetSSD_deploy.caffemodel pre-trained weight files from the https://awesomeopensource.com/project/chuanqi305/MobileNet-SSD
Schematics, diagrams and documents
Code
Credits
nilutpolkashyap
A multidisciplinary engineering graduate with expertise in designing and building intelligent robotics systems. Profound knowledge in ROS, SLAM, Path Planning, Motion Planning and Computer Vision. Have a systematic approach towards research with experience in technical documentation aiming to carry out high impact research work.
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