Web Reference: Conventional VS Machine Learning: The optical flow can be computed explicitly from the physical equations describing the movement of an object. This is done by conventional approaches. On the contrary, Machine Learning models can also learn to estimate the flow from adequate training data. Predict optical flow from Event-Based data leveraging our pretrained Flow Model, customized data loader and collections of loss function and visualization tools to set up your flow inference... Metavision ML uses PyTorch as a machine learning framework. This gives us the power of a well established framework, the convenience of Python and C++ integration, and the possibility to export your event-based model to other frameworks.
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