Build SAM3 video segmentation and tracking pipelines with text prompts, live webcam streams, and interactive multi-object tracking in Gradio.

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A hands-on tutorial covering four SAM3 video pipelines: text-prompt video segmentation and tracking, real-time webcam tracking, single-click object tracking, and multi-click multi-object tracking. The guide walks through loading SAM3 video and tracker models from Hugging Face, initializing video sessions with temporal memory, propagating masks across frames, and building interactive Gradio UIs. Key implementation details include using bfloat16 precision, stable per-object color assignment for streaming, and the difference between Sam3VideoModel (text-prompted) and Sam3TrackerVideoModel (point-prompted).

SAM 3 for Video: Concept-Aware Segmentation and Object Tracking