Commit Graph

3 Commits

Author SHA1 Message Date
enricobuehler c604b4e7bb feat: M2 — complete zero-copy dmabuf→NVENC capture path (EGL/GL→CUDA)
The PipeWire dmabuf now reaches NVENC with no CPU touch. Verified live against
headless KWin: a tiled BGRx dmabuf is imported and encoded to a pixel-correct
H.265 stream (decoded frame matches the captured desktop — no tiling artifacts,
no colour swap). The CPU-copy path stays the default and the runtime fallback.

Capture side (zerocopy::egl): desktop NVIDIA can't register a dmabuf EGLImage
with CUDA directly (cuGraphicsEGLRegisterImage is Tegra-only; cuGraphicsGLRegisterImage
rejects EGLImage-backed textures), so we follow OBS/Sunshine — bind the EGLImage
to a GL texture, render it through a fullscreen-triangle shader into an immutable
GL_RGBA8 texture (de-tiling + .bgra swizzle to the BGRx the encoder wants), then
register that texture with CUDA and copy it device-to-device into an owned buffer
so the dmabuf returns to the compositor immediately.

Encode side (encode/linux::submit_cuda): take a *pooled* CUDA surface via
av_hwframe_get_buffer and device→device-copy our imported buffer into it, instead
of wrapping our own pointer in a bare AVFrame. A bare frame is rejected with
EINVAL (NVENC ignores frames with null buf[0]; the encode path's av_frame_ref
needs a refcounted buffer), and a fresh device pointer every frame would thrash
NVENC's bounded resource-registration cache — the pool recycles a small set.

Also: gate FFmpeg AV_LOG_DEBUG behind LUMEN_FFMPEG_DEBUG for diagnosing
hw-frame rejects, and refresh the now-accurate module docs.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-09 16:28:29 +00:00
enricobuehler 535adaa818 feat: M2 zero-copy — PipeWire dmabuf negotiation + EGL device-platform import (WIP)
Wire the capture side of zero-copy (LUMEN_ZEROCOPY=1):

- EGL importer now opens the headless EGLDisplay on the NVIDIA EGL device
  (EGL_PLATFORM_DEVICE_EXT) and queries its importable DRM modifiers
  (eglQueryDmaBufModifiersEXT).
- The PipeWire stream advertises a BGRx dmabuf format with those modifiers as a
  mandatory enum Choice + a dmabuf-only Buffers param; the compositor fixates an
  importable tiled modifier. param_changed reads the negotiated modifier; the
  process callback imports the dmabuf (eglCreateImage with explicit LO/HI
  modifier) and would copy it into a CUDA buffer for the encoder.

Validated against headless KWin (Plasma 6.4): negotiation succeeds (13 NVIDIA
modifiers advertised, KWin fixates one, stream reaches Streaming with a real
tiled dmabuf) and `eglCreateImage` succeeds. The remaining blocker is
`cuGraphicsEGLRegisterImage` returning CUDA_ERROR_INVALID_VALUE on the
dmabuf-imported EGLImage — the likely fix is to bind the EGLImage to a GL
texture (glEGLImageTargetTexture2DOES) and register that via
cuGraphicsGLRegisterImage (OBS/Sunshine's path), which needs a GL context.

The CPU-copy path stays the default and is unaffected (regression-checked: real
KWin capture → HEVC). LUMEN_ZEROCOPY is opt-in/experimental until the CUDA
registration lands.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-09 15:41:31 +00:00
enricobuehler a936f55fcd feat: M2 zero-copy foundation — EGL→CUDA import + NVENC CUDA-frame path
Scaffolding for dmabuf zero-copy (plan §9), opt-in via LUMEN_ZEROCOPY:

- src/zerocopy/{cuda,egl}.rs: hand-rolled CUDA Driver-API FFI (no Rust crate
  exposes the EGL-interop calls / CUeglFrame) with a shared process-wide
  CUcontext + pitched device buffers; an EGL importer (GBM platform on the
  NVIDIA render node) that turns a dmabuf into an EGLImage, registers it with
  CUDA, and copies it device-to-device into an owned buffer. `zerocopy-probe`
  subcommand validates the FFI/linking/GPU access — confirmed on the box
  (driver 595, EGL_EXT_image_dma_buf_import + modifiers).
- CapturedFrame gains a FramePayload enum (Cpu(Vec<u8>) | Cuda(DeviceBuffer));
  the encoder branches: CPU keeps the expand+upload path, CUDA wraps the device
  buffer in an AV_PIX_FMT_CUDA frame fed straight to hevc_nvenc (sharing our
  CUcontext via a hand-declared AVCUDADeviceContext, since ffmpeg-sys doesn't
  bind hwcontext_cuda.h). open_video/the encoder take a `cuda` flag derived from
  the first frame's payload.

The capture-side dmabuf negotiation (which produces the Cuda frames) is the
next step; the CPU path is unchanged and remains the default + fallback. Builds
clean, clippy clean, tests pass.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-09 15:13:05 +00:00