pt/models/sam-2/

[giscus[bot]]

pt/models/sam-2/

Descubra o SAM 2, a próxima geração do Segment Anything Model da Meta, que suporta a segmentação em tempo real em imagens e vídeos com um desempenho topo de gama. Saiba mais sobre as suas principais caraterísticas, conjuntos de dados e como utilizá-lo.

https://docs.ultralytics.com/pt/models/sam-2/

[Brenda-Caroline]

Hello! I am using sam2 based on the coordinates of the boxes. I want to detect interaction between people and the segment object, which is a doll.

For people, pose estimation from yolo11 was used. Is it possible to check if any key points of the people's wrists are within the segmentation? If so, it will be considered interaction, otherwise, it will not be considered interaction.

[glenn-jocher]

Yes, you can achieve this. Use YOLO11 for pose estimation to detect keypoints (e.g., wrists) and SAM 2 for segmenting the object (e.g., the doll). Then, check if any wrist keypoints fall within the segmentation mask using spatial containment logic. For implementation, Python libraries like OpenCV or NumPy can help determine if points lie within the segmented area. Let me know if you need further guidance!

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