Use Segment Anything 2, grounded with Florence-2, to auto-label data for use in training vision models.
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Updated
Aug 7, 2024 - Python
Use Segment Anything 2, grounded with Florence-2, to auto-label data for use in training vision models.
GroundedSAM Base Model plugin for Autodistill
Prompt based automatic annotation
Optimized ROS1 integration package for FoundationPose with Grounded SAM. Provides ROS1 wrapper nodes for real-time 6D object pose estimation with open-vocabulary segmentation. Includes timestamp synchronization and temporal filtering optimizations for Human Support Robot (HSR). FoundationPose and Grounded SAM are external dependencies.
A Cross-Frame Multimodal Retrieval Augmented Generation (CFM-RAG) for Video Intelligence. It retrieves the most relevant multimodal evidence and empowers LLMs to deliver context-rich answers.
grounded_sam_vgn_ros2_pipeline: Grounded SAM → qwen → 3D PointCloud2 projection (Isaac Sim / Gazebo) → VGN
AI image masker with Grounded SAM using a Python GUI desktop app.
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