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搜索: "model" — 找到 7,109 条结果
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v1.0.1
腾讯云 TI-ONE 训推平台查询工具集,支持训练任务、在线服务、开发机、资源组、模型仓库、数据集、日志、事件等模块的查询操作。
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by @yinwuzhe
Write Plan
v1.0.0
Implementation plan generator — spec to multi-phase vertical-slice plan
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by @534422530
vss-summarize-video
v1
Use to summarize a recorded video via the LVS summarization microservice (HITL-gated) with a VLM fallback. Not for live RTSP captioning or incident-ra
0
0
0
by @nvidia
vss-setup-video-analytics-api
v2.39.1
Use to deploy the vss-video-analytics-api REST service standalone (config-source, data-log bind, Elasticsearch, optional Kafka). Not for full warehous
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0
by @nvidia
vss-setup-behavior-analytics
v2.39.1
Use to deploy the vss-behavior-analytics service standalone (entrypoint, config-source, optional calibration). Not for the full warehouse deploy.
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by @nvidia
vss-generate-video-report
v1
Use this skill when producing a VSS analysis report — Mode A per-clip VLM, Mode B incident-range via video-analytics. Not for real-time alerts or ad-h
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0
0
by @nvidia
vss-generate-video-calibration
v1
Use to run AutoMagicCalib on local MP4s, RTSP, or the bundled sample dataset, and to deploy vss-auto-calibration when needed. Not for non-AMC calibrat
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0
0
by @nvidia
vss-deploy-detection-tracking-3d
v1
Deploy and operate the RTVI-CV-3D stack (also known as MV3DT, Multi-View 3D Tracking, or RTVI-CV-MV3DT) — per-camera DeepStream perception plus BEV Fu
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0
by @nvidia
vss-deploy-detection-tracking-2d
v1
Use to deploy, run, debug, or tear down the RTVI-CV 2D detection / tracking microservice and call its REST API. Not for VLM, embedding, or analytics —
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0
0
by @nvidia
skill-card-generator
v?
Use only to generate or update a governance skill card for a specified existing agent skill directory. Do not use for explaining, listing, comparing,
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by @nvidia
rag-perf
v1
Performance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf load test driven by a single YAML config. Not for accurac
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0
by @nvidia
physical-ai-video-data-augmentation
v?
Use when running video data augmentation and auto-labeling workflows on OSMO: flow selection, preflight, submit-time interpolation, monitoring, and ou
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0
by @nvidia
physical-ai-neural-reconstruction
v?
Router for NVIDIA NuRec/NRE: USDZ rendering, NCore conversion, 3DGS, gRPC sensor sim, PhysicalAI HF datasets. Do NOT use for SimReady or infra setup.
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by @nvidia
physical-ai-defect-image-generation
v?
Use when the user wants to orchestrate defect image generation, run associated setup, or handle outputs on OSMO. The Day 0 path handles cold-start wit
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by @nvidia
omniverse-realtime-viewer
v?
Use as the top-level router for Omniverse Realtime Viewer USD app requests and focused viewer reference documents.
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by @nvidia
omniverse-cad-to-simready
v?
Coordinate the end-to-end CAD/source-asset to SimReady workflow. Use for broad requests such as CAD to SimReady, source asset to simulation-ready USD,
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by @nvidia
nv-segment-ctmr
v?
Used for running NV-Segment-CTMR on CT or MRI NIfTI volumes and recording label-map evidence. Not for clinical interpretation.
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by @nvidia
nv-segment-ct-finetune
v?
Used for smoke or dataset finetuning of NV-Segment-CT VISTA3D on CT NIfTI labels. Not for clinical validation.
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by @nvidia
nv-segment-ct
v?
Used for running NV-Segment-CT VISTA3D on CT NIfTI volumes and recording label-map evidence.
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by @nvidia
nv-reason-cxr
v?
Used for command-shape or live NV-Reason-CXR chest X-ray reasoning smoke tests. Not for diagnosis or clinical reporting.
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by @nvidia
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