151 lines
4.5 KiB
Markdown
151 lines
4.5 KiB
Markdown
# Installing libvpx for VP9 Software Decoding on macOS
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## Overview
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The enhanced macOS VP9 decoder now supports real VP9 software decoding using libvpx, Google's reference VP9 implementation. This provides actual video decoding instead of simulation.
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## Installation Steps
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### 1. Install libvpx via Homebrew (Recommended)
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```bash
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# Install Homebrew if not already installed
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/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
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# Install libvpx
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brew install libvpx
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# Verify installation
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brew list libvpx
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ls -la /usr/local/lib/libvpx*
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```
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### 2. Verify Library Location
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The decoder will try to load libvpx from these locations:
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- `libvpx` (system library path)
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- `libvpx.dylib` (explicit .dylib extension)
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- `vpx` (short name)
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Check that libvpx is accessible:
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```bash
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# Find libvpx location
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find /usr/local -name "*libvpx*" 2>/dev/null
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find /opt/homebrew -name "*libvpx*" 2>/dev/null
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# Test library loading
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nm -D /usr/local/lib/libvpx.dylib | grep vpx_codec_vp9_dx
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```
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### 3. Alternative Installation Methods
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#### Option A: Build from Source
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```bash
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git clone https://chromium.googlesource.com/webm/libvpx.git
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cd libvpx
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./configure --enable-vp9 --enable-shared
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make -j$(nproc)
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sudo make install
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```
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#### Option B: MacPorts
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```bash
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sudo port install libvpx
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```
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### 4. Test the Implementation
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1. **Open Godot Project**: Launch Godot 4.4.1 and open `/Users/ened/LittleFairy/video-orchestra/godot-project/project.godot`
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2. **Build C# Assembly**:
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- Go to Project → Tools → C# → Create C# Solution
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- Build the project to ensure unsafe code compilation works
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3. **Run Test Scene**:
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- Open `Main.tscn`
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- Run the scene (F6)
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- Check console output for libvpx initialization messages
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4. **Expected Console Output**:
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```
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VP9 Platform Info: macOS VP9 Platform (libvpx software + VideoToolbox hardware)
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Attempting to initialize libvpx VP9 decoder...
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libvpx VP9 decoder interface found successfully
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libvpx decoder initialized for stream 0
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libvpx decoder initialized for stream 1
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libvpx decoder initialized for stream 2
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VP9 Orchestra initialized: 1920x1080 on macOS (Software libvpx VP9)
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```
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## How It Works
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### 1. Decoder Priority
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1. **libvpx Software**: Real VP9 decoding with YUV→RGB conversion
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2. **VideoToolbox Hardware**: macOS native hardware acceleration (limited VP9 support)
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3. **Simulation Fallback**: Enhanced pattern-based texture generation
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### 2. WebM Processing
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- **Enhanced Container Parsing**: EBML/Matroska structure analysis
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- **Pattern-based Extraction**: VP9 bitstream signature detection
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- **Fallback Simulation**: Improved texture generation from container data
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### 3. Real VP9 Decoding Pipeline
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```
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WebM Container → VP9 Bitstream → libvpx Decoder → YUV420 Frame → RGB Conversion → Godot Texture
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```
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## Troubleshooting
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### Common Issues
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1. **"libvpx not found" Error**
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```bash
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# Check library installation
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brew list libvpx
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export DYLD_LIBRARY_PATH=/usr/local/lib:/opt/homebrew/lib
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```
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2. **Library Loading Failed**
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```bash
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# Create symlink if needed
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sudo ln -s /opt/homebrew/lib/libvpx.dylib /usr/local/lib/libvpx.dylib
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```
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3. **Unsafe Code Compilation Error**
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- Ensure `<AllowUnsafeBlocks>true</AllowUnsafeBlocks>` is in VideoOrchestra.csproj
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- Rebuild C# solution in Godot
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4. **No VP9 Frames Found**
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- Check that WebM files contain actual VP9 content with:
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```bash
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ffprobe -v quiet -select_streams v:0 -show_entries stream=codec_name assets/haewon-oo-00-vp9.webm
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```
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### Performance Notes
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- **Software Decoding**: ~30-60fps for 1080p single stream on modern CPUs
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- **Memory Usage**: ~50-100MB for texture buffers
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- **CPU Usage**: 20-40% additional load during decoding
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- **Battery Impact**: 10-20% additional drain on laptops
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## Development Notes
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### libvpx Integration Features
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- Multi-threaded VP9 decoding (1 decoder per stream)
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- YUV420 to RGB color space conversion
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- Automatic fallback to simulation if libvpx unavailable
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- Memory management with proper cleanup
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- Error handling with detailed diagnostics
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### Future Enhancements
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- Hardware-accelerated YUV→RGB conversion using Metal
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- Multi-threaded decoding pipeline
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- Dynamic quality scaling based on performance
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- Integration with VideoToolbox for hybrid decoding
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## Test Results Expected
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With libvpx properly installed, you should see:
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- Real VP9 frame decoding instead of simulation
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- Proper video content in the 3 texture rectangles
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- YUV→RGB color conversion working correctly
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- Smooth playback at 30fps for all 3 streams
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This provides the foundation for real VP9 video decoding in your Godot Engine application. |