feat: optical flow tensorrt #359
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Add optical flow computation pipeline using RAFT model from torchvision. Supports both PyTorch and TensorRT backends for acceleration. - Add OpticalFlowPipeline with lazy model loading - Add TensorRT engine wrapper and ONNX export utilities - Add helper functions to reduce code duplication (apply_raft_transforms, load_raft_model) - Register pipeline in registry and pipeline_manager Signed-off-by: RyanOnTheInside <7623207+ryanontheinside@users.noreply.github.com>
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Signed-off-by: RyanOnTheInside <7623207+ryanontheinside@users.noreply.github.com>
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This PR adds an optical flow preprocessor for use with VACE. Apart from usage of raft small, it follows the specifications of VACE.
Currently, tensorrt added as optional dependency which will require users to install via
uv sync --group tensorrt. This is optional as it currently conflicts with other pipelines like overworld.