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搜索: "model" — 找到 7,109 条结果

再再测试一下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。
0 0 0by @yinwuzhe
Write Planv1.0.0
Implementation plan generator — spec to multi-phase vertical-slice plan
0 0 0by @534422530
vss-summarize-videov1
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 0by @nvidia
vss-setup-video-analytics-apiv2.39.1
Use to deploy the vss-video-analytics-api REST service standalone (config-source, data-log bind, Elasticsearch, optional Kafka). Not for full warehous
0 0 0by @nvidia
vss-setup-behavior-analyticsv2.39.1
Use to deploy the vss-behavior-analytics service standalone (entrypoint, config-source, optional calibration). Not for the full warehouse deploy.
0 0 0by @nvidia
vss-generate-video-reportv1
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
0 0 0by @nvidia
vss-generate-video-calibrationv1
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
0 0 0by @nvidia
vss-deploy-detection-tracking-3dv1
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
0 0 0by @nvidia
vss-deploy-detection-tracking-2dv1
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 —
0 0 0by @nvidia
skill-card-generatorv?
Use only to generate or update a governance skill card for a specified existing agent skill directory. Do not use for explaining, listing, comparing,
0 0 0by @nvidia
rag-perfv1
Performance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf load test driven by a single YAML config. Not for accurac
0 0 0by @nvidia
physical-ai-video-data-augmentationv?
Use when running video data augmentation and auto-labeling workflows on OSMO: flow selection, preflight, submit-time interpolation, monitoring, and ou
0 0 0by @nvidia
physical-ai-neural-reconstructionv?
Router for NVIDIA NuRec/NRE: USDZ rendering, NCore conversion, 3DGS, gRPC sensor sim, PhysicalAI HF datasets. Do NOT use for SimReady or infra setup.
0 0 0by @nvidia
physical-ai-defect-image-generationv?
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
0 0 0by @nvidia
omniverse-realtime-viewerv?
Use as the top-level router for Omniverse Realtime Viewer USD app requests and focused viewer reference documents.
0 0 0by @nvidia
omniverse-cad-to-simreadyv?
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,
0 0 0by @nvidia
nv-segment-ctmrv?
Used for running NV-Segment-CTMR on CT or MRI NIfTI volumes and recording label-map evidence. Not for clinical interpretation.
0 0 0by @nvidia
nv-segment-ct-finetunev?
Used for smoke or dataset finetuning of NV-Segment-CT VISTA3D on CT NIfTI labels. Not for clinical validation.
0 0 0by @nvidia
nv-segment-ctv?
Used for running NV-Segment-CT VISTA3D on CT NIfTI volumes and recording label-map evidence.
0 0 0by @nvidia
nv-reason-cxrv?
Used for command-shape or live NV-Reason-CXR chest X-ray reasoning smoke tests. Not for diagnosis or clinical reporting.
0 0 0by @nvidia
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