SGM-VFI combines local flow estimation with sparse global matching (GMFlow) to handle large motion and occlusion-heavy scenes. Adds 3 new nodes: Load SGM-VFI Model, SGM-VFI Interpolate, SGM-VFI Segment Interpolate. Architecture files vendored from MCG-NJU/SGM-VFI with device-awareness fixes (no hardcoded .cuda()), relative imports, and debug code removed. README updated with model comparison table. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
6 lines
204 B
Python
6 lines
204 B
Python
from .feature_extractor import feature_extractor
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from .flow_estimation import MultiScaleFlow
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from .warplayer import clear_warp_cache
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__all__ = ['feature_extractor', 'MultiScaleFlow', 'clear_warp_cache']
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