Professional video processing pipeline with AI analysis, 360° processing, and adaptive streaming capabilities. ✨ Core Features: • AI-powered content analysis with scene detection and quality assessment • Next-generation codec support (AV1, HEVC, HDR10) • Adaptive streaming (HLS/DASH) with smart bitrate ladders • Complete 360° video processing with multiple projection support • Spatial audio processing (Ambisonic, binaural, object-based) • Viewport-adaptive streaming with up to 75% bandwidth savings • Professional testing framework with video-themed HTML dashboards 🏗️ Architecture: • Modern Python 3.11+ with full type hints • Pydantic-based configuration with validation • Async processing with Procrastinate task queue • Comprehensive test coverage with 11 detailed examples • Professional documentation structure 🚀 Production Ready: • MIT License for open source use • PyPI-ready package metadata • Docker support for scalable deployment • Quality assurance with ruff, mypy, and pytest • Comprehensive example library From simple encoding to immersive experiences - complete multimedia processing platform for modern applications.
📚 Video Processor Documentation
Welcome to the comprehensive documentation for Video Processor v0.4.0 - the ultimate Python library for professional video processing and immersive media.
🗂️ Documentation Structure
📖 User Guide
Complete guides for end users and developers getting started with the video processor.
Document | Description |
---|---|
🚀 NEW_FEATURES_v0.4.0.md | Complete feature overview with examples for v0.4.0 |
📘 README_v0.4.0.md | Comprehensive getting started guide and API reference |
🔄 Migration & Upgrades
Guides for upgrading between versions and migrating existing installations.
Document | Description |
---|---|
🔄 MIGRATION_GUIDE_v0.4.0.md | Step-by-step upgrade instructions from previous versions |
⬆️ UPGRADE.md | General upgrade procedures and best practices |
🛠️ Development
Technical documentation for developers working on or extending the video processor.
Document | Description |
---|---|
🏗️ COMPREHENSIVE_DEVELOPMENT_SUMMARY.md | Complete development history and architecture decisions |
📋 Reference
API references, feature lists, and project roadmaps.
Document | Description |
---|---|
⚡ ADVANCED_FEATURES.md | Complete list of advanced features and capabilities |
🗺️ ROADMAP.md | Project roadmap and future development plans |
📝 CHANGELOG.md | Detailed version history and changes |
💻 Examples
Comprehensive examples demonstrating all features and capabilities.
Category | Examples | Description |
---|---|---|
🚀 Getting Started | examples/ | Complete example documentation with 11 detailed examples |
🤖 AI Features | ai_enhanced_processing.py |
AI-powered content analysis and optimization |
🎥 Advanced Codecs | advanced_codecs_demo.py |
AV1, HEVC, and HDR processing |
📡 Streaming | streaming_demo.py |
Adaptive streaming (HLS/DASH) creation |
🌐 360° Video | 360_video_examples.py |
Complete 360° processing with 7 examples |
🐳 Production | docker_demo.py , worker_compatibility.py |
Deployment and scaling |
🎯 Quick Navigation
New to Video Processor?
Start here for a complete introduction:
- 📘 User Guide - Complete getting started guide
- 💻 Basic Examples - Hands-on examples to get you started
- 🚀 New Features - What's new in v0.4.0
Upgrading from Previous Version?
Follow our migration guides:
- 🔄 Migration Guide - Step-by-step upgrade instructions
- 📝 Changelog - See what's changed
Looking for Specific Features?
- 🤖 AI Analysis: AI Implementation Summary
- 🎥 Modern Codecs: Codec Implementation
- 📡 Streaming: Streaming Examples
- 🌐 360° Video: 360° Examples
Need Technical Details?
- 🏗️ Architecture: Development Summary
- ⚡ Advanced Features: Feature Reference
- 🗺️ Roadmap: Future Plans
🎬 Video Processor Capabilities
The Video Processor v0.4.0 provides a complete multimedia processing platform with four integrated phases:
🤖 Phase 1: AI-Powered Content Analysis
- Intelligent scene detection and boundary identification
- Comprehensive quality assessment (sharpness, brightness, contrast)
- Motion analysis with intensity scoring
- AI-powered thumbnail selection for optimal engagement
- 360° content intelligence with automatic detection
🎥 Phase 2: Next-Generation Codecs
- AV1 encoding with 50% better compression than H.264
- HEVC/H.265 support with hardware acceleration
- HDR10 processing with tone mapping and metadata preservation
- Multi-color space support (Rec.2020, P3, sRGB)
- Two-pass optimization for intelligent bitrate allocation
📡 Phase 3: Adaptive Streaming
- HLS & DASH adaptive streaming with multi-bitrate support
- Smart bitrate ladders based on content analysis
- Real-time processing with Procrastinate async tasks
- Multi-device optimization for mobile, desktop, TV
- Progressive upload capabilities
🌐 Phase 4: Complete 360° Video Processing
- Multi-projection support: Equirectangular, Cubemap, EAC, Stereographic, Fisheye
- Spatial audio processing: Ambisonic, binaural, object-based, head-locked
- Viewport-adaptive streaming with up to 75% bandwidth savings
- Tiled encoding for streaming only visible regions
- Stereoscopic 3D support for immersive content
🚀 Quick Start
Installation
# Install with all features
uv add video-processor[all]
# Or install specific feature sets
uv add video-processor[ai,360,streaming]
Basic Usage
from video_processor import VideoProcessor
from video_processor.config import ProcessorConfig
# Initialize with all features
config = ProcessorConfig(
quality_preset="high",
enable_ai_analysis=True,
enable_360_processing=True,
output_formats=["mp4", "av1_mp4"]
)
processor = VideoProcessor(config)
# Process any video (2D or 360°) with full analysis
result = await processor.process_video("input.mp4", "./output/")
# Automatic optimization based on content type
if result.is_360_video:
print(f"🌐 360° {result.video_360.projection_type} processed")
else:
print("🎥 Standard video processed with AI analysis")
print(f"Quality: {result.quality_analysis.overall_quality:.1f}/10")
For complete examples, see the Examples Documentation.
🔧 Development & Contributing
Development Setup
git clone https://git.supported.systems/MCP/video-processor
cd video-processor
uv sync --dev
Running Tests
# Full test suite
uv run pytest
# Specific feature tests
uv run pytest tests/test_360_basic.py -v
uv run pytest tests/unit/test_ai_content_analyzer.py -v
Code Quality
uv run ruff check . # Linting
uv run mypy src/ # Type checking
uv run ruff format . # Code formatting
See the Development Documentation for detailed technical information.
🤝 Community & Support
- 📖 Documentation: You're here! Complete guides and references
- 💻 Examples: examples/ - 11 comprehensive examples
- 🐛 Issues: Report bugs and request features on the repository
- 🚀 Discussions: Share use cases and get help from the community
- 📧 Support: Tag issues with appropriate labels for faster response
📜 License
MIT License - see LICENSE for details.
🎬 Video Processor v0.4.0
From Simple Encoding to Immersive Experiences
Complete Multimedia Processing Platform | Production Ready | Open Source