I3D implemetation in Keras + video preprocessing + visualization of results
Detection of temporal boundaries in sign language videos, as part of the Object Recognition & Computer Vision course in the MVA master program.
A Pytorch implementation of The Visual Centrifuge: Model-Free Layered Video Representations.
GRU Model That uses a sequence of MobileNet Image Features to classify a video clip as class label shoplifting or not shoplifting.
This application is designed to recognize and translate sign language gestures into text. It utilizes four pre-trained models, each containing different vocabulary sizes (100, 300, 1000, and 2000 words)
Inception 3D in keras for Indian Sign Language.
Convert videos into IADs
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