Ryan Malloy
bcd37ba55f
This milestone completes the video processor with full 360° video support: ## New Features - Complete 360° video analysis and processing pipeline - Multi-projection support (equirectangular, cubemap, EAC, stereographic, fisheye) - Viewport extraction and animated viewport tracking - Spatial audio processing (ambisonic, binaural, object-based) - 360° adaptive streaming with tiled encoding - AI-enhanced 360° content analysis integration - Comprehensive test infrastructure with synthetic video generation ## Core Components - Video360Processor: Complete 360° analysis and processing - ProjectionConverter: Batch conversion between projections - SpatialAudioProcessor: Advanced spatial audio handling - Video360StreamProcessor: Viewport-adaptive streaming - Comprehensive data models and validation ## Test Infrastructure - 360° video downloader with curated test sources - Synthetic 360° video generator for CI/CD - Integration tests covering full processing pipeline - Performance benchmarks for parallel processing ## Documentation & Examples - Complete 360° processing examples and workflows - Comprehensive development summary documentation - Integration guides for all four processing phases This completes the roadmap: AI analysis, advanced codecs, streaming, and 360° video processing. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
68 lines
2.0 KiB
Python
68 lines
2.0 KiB
Python
#!/usr/bin/env python3
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"""
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Basic usage example for the video processor module.
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This example demonstrates:
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- Creating a processor configuration
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- Processing a video file to multiple formats
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- Generating thumbnails and sprites
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"""
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import tempfile
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from pathlib import Path
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from video_processor import ProcessorConfig, VideoProcessor
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def basic_processing_example():
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"""Demonstrate basic video processing functionality."""
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# Create a temporary directory for outputs
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with tempfile.TemporaryDirectory() as temp_dir:
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temp_path = Path(temp_dir)
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# Create configuration
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config = ProcessorConfig(
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base_path=temp_path,
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output_formats=["mp4", "webm"],
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quality_preset="medium",
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)
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# Initialize processor
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processor = VideoProcessor(config)
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# Example input file (replace with actual video file path)
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input_file = Path("example_input.mp4")
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if input_file.exists():
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print(f"Processing video: {input_file}")
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# Process the video
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result = processor.process_video(
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input_path=input_file, output_dir=temp_path / "outputs"
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)
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print("Processing complete!")
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print(f"Video ID: {result.video_id}")
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print(f"Formats created: {list(result.encoded_files.keys())}")
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# Display output files
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for format_name, file_path in result.encoded_files.items():
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print(f" {format_name}: {file_path}")
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if result.thumbnail_file:
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print(f"Thumbnail: {result.thumbnail_file}")
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if result.sprite_files:
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sprite_img, sprite_vtt = result.sprite_files
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print(f"Sprite image: {sprite_img}")
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print(f"Sprite WebVTT: {sprite_vtt}")
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else:
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print(f"Input file not found: {input_file}")
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print("Create an example video file or modify the path in this script.")
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if __name__ == "__main__":
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basic_processing_example()
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