Files
test/streaming/__init__.py
gilesb d241e2a663 Add streaming video compositor with sexp interpreter
- New streaming/ module for real-time video processing:
  - compositor.py: Main streaming compositor with cycle-crossfade
  - sexp_executor.py: Executes compiled sexp recipes in real-time
  - sexp_interp.py: Full S-expression interpreter for SLICE_ON Lambda
  - recipe_adapter.py: Bridges recipes to streaming compositor
  - sources.py: Video source with ffmpeg streaming
  - audio.py: Real-time audio analysis (energy, beats)
  - output.py: Preview (mpv) and file output with audio muxing

- New templates/:
  - cycle-crossfade.sexp: Smooth zoom-based video cycling
  - process-pair.sexp: Dual-clip processing with effects

- Key features:
  - Videos cycle in input-videos order (not definition order)
  - Cumulative whole-spin rotation
  - Zero-weight sources skip processing
  - Live audio-reactive effects

- New effects: blend_multi for weighted layer compositing
- Updated primitives and interpreter for streaming compatibility

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-29 01:27:39 +00:00

45 lines
1.2 KiB
Python

"""
Streaming video compositor for real-time effect processing.
This module provides a frame-by-frame streaming architecture that:
- Reads from multiple video sources with automatic looping
- Applies effects inline (no intermediate files)
- Composites layers with time-varying weights
- Outputs to display, file, or stream
Usage:
from streaming import StreamingCompositor, VideoSource, AudioAnalyzer
compositor = StreamingCompositor(
sources=["video1.mp4", "video2.mp4"],
effects_per_source=[...],
compositor_config={...},
)
# With live audio
audio = AudioAnalyzer(device=0)
compositor.run(output="output.mp4", duration=60, audio=audio)
# With preview window
compositor.run(output="preview", duration=60)
Backends:
- numpy: Works everywhere, ~3-5 fps (default)
- glsl: Requires GPU, 30+ fps real-time (future)
"""
from .sources import VideoSource, ImageSource
from .compositor import StreamingCompositor
from .backends import NumpyBackend, get_backend
from .output import DisplayOutput, FileOutput
__all__ = [
"StreamingCompositor",
"VideoSource",
"ImageSource",
"NumpyBackend",
"get_backend",
"DisplayOutput",
"FileOutput",
]