Thread-local staging Mat (video_player.cpp:1400-1407) — single biggest win. Eliminates the 12 MB per-call malloc/free cycle.
Contiguous get_buffer2 allocator (video_decoder.cpp:35-102) — keeps the 3 bulk memcpys cache-friendly. Would also enable FAST/zero-copy for resolutions where visible_h % 64 == 0.
SW-decoder thread config (video_decoder.cpp:528-540) — thread_count=0, thread_type=FRAME|SLICE. FRAME is downgraded to SLICE-only by AV_CODEC_FLAG_LOW_DELAY, but decode throughput is sufficient for your input rate.
SetTargetFPS(100) delivery throttle (already there) — caps onVideoFrame post-decode work at 10 FPS. Keeps the caller path warm-cached.
Instrumentation — [MEDIA_DecInit] / [MEDIA_Convert] / [MEDIA_SWDec] / [MEDIA_Timing] / [MEDIA_JpegTiming] — always-on regression detector, zero cost when ANSCORE_DEBUGVIEW=OFF.
When the decoder hasn't produced a frame in 5s, skip the call to
_playerClient->getImage() entirely and return the cached frame with
unchanged _pts. LabVIEW sees STALE PTS one poll earlier and can
trigger reconnect sooner.
Threshold matches the existing checks on the duplicate-PTS branch and
in areImagesIdentical() so all three stale paths agree. Near-zero cost:
one getLastFrameAgeMs() call before the main path.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- NvJpegPool: singleton pool of 4 NvJpegCompressor instances with
lock-free slot acquisition (~160MB VRAM). Threads that can't grab
a slot fall back to TurboJPEG with zero wait.
- JPEG passthrough: BmpToJpeg now checks if input is already JPEG
(FF D8 FF magic) and copies directly without re-encoding.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
BmpToJpeg was slow (~25-45ms for 4K) due to two bottlenecks:
1. cv::imdecode for BMP parsing (unnecessary for uncompressed BMP)
2. TurboJPEG CPU encoding (~11ms for 4K)
Fix 1: Zero-copy BMP parsing — parse header directly and wrap pixel
data in cv::Mat without allocation or copy. Eliminates ~47MB of heap
allocations per 4K frame.
Fix 2: NvJpegCompressor class using nvJPEG hardware encoder on NVIDIA
GPUs (~1-2ms for 4K). Integrated into CompressJpegToString so all 5
JPEG encoding callsites benefit automatically. Reusable GPU buffer
avoids per-frame cudaMalloc/cudaFree. Silent fallback to TurboJPEG
on Intel/AMD or if nvJPEG fails.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
