Statements (58)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Software_Development
|
| gptkbp:can_be_used_for |
image classification
object detection license plate recognition face recognition |
| gptkbp:developed_by |
gptkb:NVIDIA
|
| gptkbp:has |
community support
sample applications active development |
| https://www.w3.org/2000/01/rdf-schema#label |
Deep Stream SDK
|
| gptkbp:includes |
pre-trained models
|
| gptkbp:integrates_with |
gptkb:NVIDIA_Clara
gptkb:NVIDIA_Metropolis |
| gptkbp:is_available_on |
gptkb:Git_Hub
NVIDIA Developer Zone |
| gptkbp:is_compatible_with |
gptkb:NVIDIA_GPUs
gptkb:NVIDIA_Jetson_platform Windows operating systems Linux operating systems |
| gptkbp:is_integrated_with |
gptkb:Io_T_devices
|
| gptkbp:is_optimized_for |
NVIDIA hardware
|
| gptkbp:is_part_of |
gptkb:NVIDIA_AI_platform
NVIDIA Deep Learning SDKs |
| gptkbp:is_promoted_by |
NVIDIA marketing
|
| gptkbp:is_supported_by |
NVIDIA documentation
NVIDIA forums NVIDIA training sessions NVIDIA webinars |
| gptkbp:is_used_by |
gptkb:developers
gptkb:researchers businesses government agencies |
| gptkbp:offers |
multi-stream processing
|
| gptkbp:provides |
data visualization tools
real-time alerts real-time processing SDK documentation customizable pipelines GStreamer framework integration |
| gptkbp:released_in |
gptkb:2018
|
| gptkbp:supports |
gptkb:Tensor_RT
AI model training video analytics video encoding cloud deployment AI inference multiple output formats multiple input sources video decoding edge deployment |
| gptkbp:used_for |
AI-based video analytics
|
| gptkbp:used_in |
smart cities
traffic monitoring retail analytics security surveillance |
| gptkbp:written_in |
gptkb:C++
|
| gptkbp:bfsParent |
gptkb:NVIDIA
|
| gptkbp:bfsLayer |
4
|