Tensorflow Object Detection is an api that provides a quick access to build an object detection applications using opencv and tensorflow. In this video, we will create an end to end realtime worker helmet detection using opencv, tensorflow and python.

In this video tutorial, we will also learn how to install tensorflow object detection api on windows machine, then we will run the inference of object detection using pretrained mobilenet v2 model on videos and finally we will also deploy custom trained helmet detection model on videos and webcam…
Tensorflow object detection api link :- https://github.com/tensorflow/models
Protobuf for windows zipfile link:-
https://drive.google.com/drive/u/0/folders/1DUaVmJK63hL-F3Wjex1ojwhSI26tMAT_
ssd mobilenet v2 pretrained model weight chekpoints link :-
https://drive.google.com/drive/u/0/folders/1uXjHpTiZZnVXzppomwsOxls38gRhyVjH
helmet detection pretrained model weight file checkpoints link :-
https://drive.google.com/drive/u/0/folders/17XPL7pKDiKi4dIJujR8L_Roep1MEmfBr

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