Computer Vision Toolbox Model for RAFT Optical Flow Estimation
Pre-trained RAFT deep learning model for optical flow estimation in videos
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Pre-trained RAFT deep learning model for optical flow estimation in videos. This model was trained on the Kubric dataset and supports inference on CPU and GPU. It performs better than traditional optical flow methods in challenging scenarios such as texture-less regions and motion blur from a moving camera.
MATLAB Release Compatibility
- Compatible with R2024b to R2026a
Platform Compatibility
- Windows
- macOS (Apple Silicon)
- macOS (Intel)
- Linux
