Statements (54)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:software
|
| gptkbp:compatibleWith |
gptkb:Jetson_platform
gptkb:Nvidia_A100 gptkb:Nvidia_T4 gptkb:Nvidia_RTX |
| gptkbp:designedFor |
video analytics
|
| gptkbp:developedBy |
gptkb:Nvidia
|
| gptkbp:documentation |
https://docs.nvidia.com/metropolis/deepstream/dev-guide/index.html
|
| https://www.w3.org/2000/01/rdf-schema#label |
Nvidia DeepStream
|
| gptkbp:integratesWith |
gptkb:AWS_IoT
gptkb:Azure_IoT gptkb:Google_Cloud_IoT gptkb:Nvidia_Metropolis gptkb:Triton_Inference_Server |
| gptkbp:latestReleaseVersion |
6.3
|
| gptkbp:license |
proprietary
|
| gptkbp:provides |
SDK
C/C++ API Python bindings reference pipelines sample applications |
| gptkbp:releaseYear |
2017
|
| gptkbp:runsOn |
Nvidia GPUs
|
| gptkbp:supports |
gptkb:ONVIF
gptkb:TensorRT gptkb:H.264 gptkb:H.265 gptkb:OpenCV gptkb:GStreamer gptkb:RTSP face recognition image classification AI-powered video analytics stream multiplexing object detection Docker containers instance segmentation Kafka integration Kubernetes deployment action recognition hardware-accelerated decoding hardware-accelerated encoding license plate recognition multi-stream processing real-time video processing |
| gptkbp:usedFor |
robotics
edge AI industrial inspection smart cities healthcare analytics retail analytics traffic monitoring |
| gptkbp:bfsParent |
gptkb:Nvidia
|
| gptkbp:bfsLayer |
5
|