II.
LibraryProcess overview
Reference · livelib-process:gpu-programming--gpu-image-video-processing
specializations/gpu-programming/gpu-image-video-processing overview
GPU-Accelerated Image and Video Processing - Workflow for implementing GPU-accelerated image and video processing pipelines for real-time applications.
Attributes
displayName
specializations/gpu-programming/gpu-image-video-processing
description
GPU-Accelerated Image and Video Processing - Workflow for implementing GPU-accelerated
image and video processing pipelines for real-time applications.
libraryPath
library/specializations/gpu-programming/gpu-image-video-processing.js
specialization
gpu-programming
references
- - NVIDIA Video Codec SDK: https://developer.nvidia.com/nvidia-video-codec-sdk
- - NPP Library: https://docs.nvidia.com/cuda/npp/
- - NVENC/NVDEC: https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix
example
const result = await orchestrate('specializations/gpu-programming/gpu-image-video-processing', {
projectName: 'video_effects',
operations: ['resize', 'color_correction', 'denoise'],
realTime: true,
videoCodec: 'h264'
});
usesAgents
- graphics-compute-expert
- gpu-performance-engineer
Outgoing edges
lib_applies_to_domain1
- domain:scientific-computing·DomainScientific Computing
lib_belongs_to_specialization1
- specialization:gpu-programming·Specialization
lib_implements_workflow1
- workflow:performance-profiling-cycle·WorkflowPerformance Profiling Cycle
lib_involves_role2
- role:computational-scientist·RoleComputational Scientist
- role:ml-engineer·RoleMachine Learning Engineer
lib_requires_skill_area2
- skill-area:cuda-kernels·SkillAreaCUDA Kernel Programming
- skill-area:compute-shaders·SkillAreaCompute Shaders
uses_agent2
- lib-agent:gpu-programming--graphics-compute-expert·LibraryAgentgraphics-compute-expert
- lib-agent:gpu-programming--gpu-performance-engineer·LibraryAgentgpu-performance-engineer
Incoming edges
None.