Statements (55)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software_framework
|
| gptkbp:can_be_used_in |
gptkb:sports_team
environmental monitoring manufacturing processes smart cities transportation systems traffic monitoring retail analytics healthcare monitoring automated quality control security surveillance |
| gptkbp:deployment |
cloud platforms
embedded systems on-premises servers |
| gptkbp:developed_by |
gptkb:NVIDIA_Corporation
|
| gptkbp:enables |
remote monitoring
multi-stream processing |
| gptkbp:features |
image classification
object detection semantic segmentation video decoding |
| https://www.w3.org/2000/01/rdf-schema#label |
NVIDIA Deep Stream
|
| gptkbp:integrates_with |
gptkb:cloud_services
|
| gptkbp:is_available_on |
gptkb:NVIDIA_NGC
|
| gptkbp:is_compatible_with |
gptkb:Tensor_RT
gptkb:NVIDIA_GPUs gptkb:CUDA gptkb:NVIDIA_Jetson |
| gptkbp:is_integrated_with |
gptkb:Io_T_devices
|
| gptkbp:is_optimized_for |
NVIDIA hardware
|
| gptkbp:is_part_of |
NVIDIA AI ecosystem
|
| gptkbp:offers |
community support
real-time alerts pre-trained models |
| gptkbp:provides |
performance metrics
real-time processing SDK for developers analytics dashboard developer documentation customizable pipelines |
| gptkbp:supports |
data visualization
edge computing video streaming AI inference AI training multiple input sources AI-powered applications AI model optimization video transcoding |
| gptkbp:used_for |
video analytics
|
| gptkbp:utilizes |
gptkb:GStreamer
|
| gptkbp:bfsParent |
gptkb:NVIDIA_Corporation
gptkb:CUDA gptkb:NVIDIA |
| gptkbp:bfsLayer |
4
|