MULTI OBJECT DETECTION AND CLASSIFICATION BY TRAINING ON GPU USING DEEP LEARNING WITH TENSORFLOW FRAMEWORK
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This project propose an approach to object detection that cascades deep nets and fast features , that is both very fast and very accurate. ...learn more
Overview / Usage
This project uses GPU implementation for object detection of YOLO Darknet and MNIST model
implementation using TensorFlow .We got the predictions and probabilities of characters and got the
sessions and graph visualization on Tensorboard. Similarly ,we trained the yolo weights model on
TensorFlow and also run the model on videos and webcam and got a good result in which humans and
other objects were detected and labeled .We even got the rectangle around the detected objects.
Finally we used this model on Surveillance CCTV videos of BARC.