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README.md

README.md

TASS Movidius Classifiers

TASS Movidius Classifiers

The TASS Movidius Classifiers are computer vision programs using a number of different models including Inception V3, Yolo, dlib, OpenCV and Facenet.

TASS Movidius Facenet Classifier

TASS Movidius Facenet Classifier

The TASS Movidius Facenet Classifier uses Siamese Neural Networks and Triplet Loss to classify known and unknown faces. The project uses an UP2 the Intel Movidius and the IoT JumpWay for IoT connectivity.

TASS Movidius Inception V3 Classifier

TASS Movidius Facenet Classifier

The TASS Movidius Inception V3 Classifier uses a pretrained or custom trained Inception V3 model and an Intel® Movidius to carry out object and facial classification, both locally and on a live webcam stream. TASS Movidius uses the IoT JumpWay for IoT communication and publishes messages to the broker when an object/face is identified.

TASS Movidius Yolo Classifier

TASS Movidius Yolo Classifier

The TASS Movidius Yolo Classifier uses a pretrained Yolo model and an Intel® Movidius to carry out object, both locally and on a live webcam stream. TASS Movidius uses the IoT JumpWay for IoT communication and publishes messages to the broker when an object is identified.