Rtvi Vlm Customize Model
NVIDIA/DeepStream/skills/rtvi-vlm-customize-model
devopsResmi
Resmi Sağlayıcı Skill'iView repo
How to swap the VLM in the VSS Alerts Blueprint — covers RTVI-VLM microservice deployment methods, all three VLM consumers (rtvi-vlm, vlm-as-verifier, vss-agent), and health checks.
Dosyalar9 dosya
.gitkeep1 satır
Bu dosya türü için önizleme mevcut değil.
Ham dosyayı açKurulum
ÖnerilenTek komut — ajanınız otomatik olarak devreye alır.
Kurulum komutunu görmek için yukarıdan bir AI aracı seçin.
veya
Manuel Kurulum
Daha fazla adımArşivi indirin ve dosyaları projenize manuel olarak ekleyin.
Skill detayları
Versiyonv1.0.0
YazarNVIDIA
Kategoridevops
Skill IDNVIDIA/DeepStream/skills/rtvi-vlm-customize-model
Dosyalar9 dosya
İlgili skill'ler
Amc Run Rtsp CalibrationCalibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API. Use when the user provides RTSP URLs or asks to calibrate live cameras; VIOS records clips, AMC ingests them, then runs calibration.Amc Run Sample CalibrationRun end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'.Amc Run Video CalibrationCalibrates pre-recorded `cam_*.mp4` datasets through the AutoMagicCalib REST API. Use for user-supplied local MP4s; route live RTSP streams to `amc-run-rtsp-calibration`.Amc Setup Calibration StackLaunch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key.Deepstream DevNVIDIA DeepStream SDK development with Python pyservicemaker API. Use when building video analytics pipelines, GStreamer-based video processing, TensorRT inference integration, object detection/tracking, or Kafka/message broker integration.Deepstream Eval And FinetuneEvaluate and improve an object detector in NVIDIA DeepStream. Use for deployed mAP, FPS and latency measurement, TAO Skill Bank fine-tuning or AutoML, redeployment, and before/after reporting on HuggingFace, NGC, ONNX, or local models and KPI datasets. Object detection only; do not use for classification or non-vision models.