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11 Commits

Author SHA1 Message Date
giles
949d716d9a Add dynamic zoom and ripple amplitude to woods recipe
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- Zoom now driven by audio energy via core:map-range
- Ripple amplitude reads from dynamic_params in sexp_to_cuda
- Crossfade transition with zoom in/out effect
- Move git clone before COPY in Dockerfile for better caching

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-02-04 12:04:00 +00:00
giles
3adf927ca1 Add zero-copy GPU encoding pipeline
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- New GPUHLSOutput class for direct GPU-to-NVENC encoding
- RGB→NV12 conversion via CUDA kernel (no CPU transfer)
- Uses PyNvVideoCodec for zero-copy GPU encoding
- ~220fps vs ~4fps with CPU pipe approach
- Automatically used when PyNvVideoCodec is available

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-02-04 02:32:43 +00:00
giles
36c4afeb84 Add LD_PRELOAD for libnvcuvid in Dockerfile
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2026-02-04 01:56:40 +00:00
giles
b6292268fa Add NVDEC headers and libnvcuvid stub for decord build
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2026-02-04 01:53:37 +00:00
giles
3a02fca7fd Add FFmpeg dev headers for decord build
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2026-02-04 01:52:21 +00:00
giles
c4004b3f5d Multi-stage Dockerfile for decord CUDA build
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Use devel image for compilation, runtime for final image.
Keeps image smaller while enabling NVDEC decode.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-02-04 01:51:00 +00:00
giles
41adf058bd Build decord from source with CUDA for GPU video decode
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- Build decord with -DUSE_CUDA=ON for true NVDEC hardware decode
- Use DLPack for zero-copy transfer from decord to CuPy
- Frames stay on GPU throughout: decode -> process -> encode

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-02-04 01:50:14 +00:00
giles
b7e3827fa2 Use PyNvCodec for true zero-copy GPU video decode
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Replace decord (CPU-only pip package) with PyNvCodec which provides
direct NVDEC access. Frames decode straight to GPU memory without
any CPU transfer, eliminating the memory bandwidth bottleneck.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-02-04 01:47:03 +00:00
giles
771fb8cebc Add decord for GPU-native video decode
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- Install decord in GPU Dockerfile for hardware video decode
- Update GPUVideoSource to use decord with GPU context
- Decord decodes on GPU via NVDEC, avoiding CPU memory copies
- Falls back to FFmpeg pipe if decord unavailable
- Enable STREAMING_GPU_PERSIST=1 for full GPU pipeline

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-02-04 01:17:22 +00:00
giles
6ea39d633b Bake GPU/IPFS settings into Dockerfile 
Settings in Dockerfile override swarm service env vars.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-02-03 21:48:03 +00:00
giles
86830019ad Add IPFS HLS streaming and GPU optimizations 
- Add IPFSHLSOutput class that uploads segments to IPFS as they're created
- Update streaming task to use IPFS HLS output for distributed streaming
- Add /ipfs-stream endpoint to get IPFS playlist URL
- Update /stream endpoint to redirect to IPFS when available
- Add GPU persistence mode (STREAMING_GPU_PERSIST=1) to keep frames on GPU
- Add hardware video decoding (NVDEC) support for faster video processing
- Add GPU-accelerated primitive libraries: blending_gpu, color_ops_gpu, geometry_gpu
- Add streaming_gpu module with GPUFrame class for tracking CPU/GPU data location
- Add Dockerfile.gpu for building GPU-enabled worker image

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-02-03 20:23:16 +00:00