[MME & VDMS-data-prep] Performance Optimizations#1786
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sun1lach wants to merge 12 commits intoopen-edge-platform:mainfrom
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[MME & VDMS-data-prep] Performance Optimizations#1786sun1lach wants to merge 12 commits intoopen-edge-platform:mainfrom
sun1lach wants to merge 12 commits intoopen-edge-platform:mainfrom
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Pre-Processing & Inference: - Added `AsyncInferQueue` based OV inference. - Static shape model compilation for iGPU - ThreadPool for open_clip image parallel pre-processing Video Decode: - PyAV based video decode. - Support for Keyframes and Uniform sampled frames extraction.
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- Support PyAV RTSP Stream and Bytes input. - Multiple/Parallel decoder instance (file/rtsp/bytes). - Integrated PyAV decoder with VDMS-data-prep + OD optimizations. - Refactored pipeline & metadata logic - Shared Memory based streaming frames metadata. - Rigourous optimizations: 8-10x memory reduction, complete pipeline execution ~10GB
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- Handled multistream RTSP graceful termination - Introduced RTSP vdms-data-prep REST endpoint. - Reactive Queue drain and SHM handle closures.
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- Added ulimits to compose.yaml - fixed telemetry video_duration_seconds - Added debug logging - Address partial frame decode early termination bug.
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Description
Refactored Pre-Processing & Inference
AsyncInferQueuebased OV inference.Video Decode
video_decoderabstraction for usage from MME wrapper.TODO
Partially backward compatible. Revert this patch to check/validate existing functionality.
Any Newly Introduced Dependencies
PyAV==16.1.0 (https://github.com/PyAV-Org/PyAV)
How Has This Been Tested?
ARL - Ultra 7 255H + iGPU (Development)
Checklist: