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sam3-agent-video
Use SAM3 Agent windowed tracking for long videos with occlusions, repeated instances, or identity carry-over.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Use SAM3 Agent windowed tracking for long videos with occlusions, repeated instances, or identity carry-over.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Label video behavior segments from frame-grid images with a defined behavior list, model-ready JSON, resumable outputs, and no_behavior handling for sparse labels.
Use Annolid GUI tools for robust automation across web, PDF, video, and chat controls.
Infer the assay or paradigm from video context, task text, tracked entities, and experimental cues such as social interaction, open field, courtship, resident-intruder, and novel object recognition.
Choose assay-specific features and measurable objectives for behavior analysis, including distances, zones, speed, contact, orientation, and object interaction.
Segment behavior timelines from tracks, pose, contact, speed, and proximity signals into typed intervals with stable labels and rationales.
Keep behavior analysis aligned with assay objectives, controls, reproducibility, and measurable outputs instead of ad hoc summaries.
| name | sam3-agent-video |
| description | Use SAM3 Agent windowed tracking for long videos with occlusions, repeated instances, or identity carry-over. |
| metadata | {"annolid":{"always":false}} |
Use this skill when the user wants to track one or more instances across a long video and the problem is likely to need:
Call sam3_agent_video_track when:
Suggested tool call:
sam3_agent_video_track(
video_path="...",
agent_prompt="mouse",
window_size=5,
stride=5,
propagation_direction="forward",
dry_run=false
)
video_infovideo_sample_framesvideo_run_model_inferencegui_segment_track_videoBefore running the tool, confirm:
The tool returns a JSON summary containing:
frames_processedmasks_writtensummary_pathUse the summary path as the canonical artifact for downstream review or follow-up automation.
When responding to the user, keep the request concrete:
sam3_agent_video_track with the smallest window size that still preserves identity.