Meta updates SAM 2.1 with faster video object segmentation

The immediate effect is faster video object segmentation inference and a less restrictive multi-object workflow in SAM 2.1. That matters for teams building video annotation or tracking tools on top of Meta’s open-source stack, because the update changes both runtime performance and how prompts are interpreted across objects. The repo also raises the floor to PyTorch 2.5.1 for full support, so deployment environments need to match that version. Watch for adoption of the --use_vos_optimized_video_predictor flag in tools/vos_inference.py and whether users stick with the new default predictor or fall back to sam2_video_predictor_legacy.py.