Ryan Malloy
840bd34f29
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.
68 lines
2.0 KiB
Python
68 lines
2.0 KiB
Python
#!/usr/bin/env python3
|
|
"""
|
|
Basic usage example for the video processor module.
|
|
|
|
This example demonstrates:
|
|
- Creating a processor configuration
|
|
- Processing a video file to multiple formats
|
|
- Generating thumbnails and sprites
|
|
"""
|
|
|
|
import tempfile
|
|
from pathlib import Path
|
|
|
|
from video_processor import ProcessorConfig, VideoProcessor
|
|
|
|
|
|
def basic_processing_example():
|
|
"""Demonstrate basic video processing functionality."""
|
|
|
|
# Create a temporary directory for outputs
|
|
with tempfile.TemporaryDirectory() as temp_dir:
|
|
temp_path = Path(temp_dir)
|
|
|
|
# Create configuration
|
|
config = ProcessorConfig(
|
|
base_path=temp_path,
|
|
output_formats=["mp4", "webm"],
|
|
quality_preset="medium",
|
|
)
|
|
|
|
# Initialize processor
|
|
processor = VideoProcessor(config)
|
|
|
|
# Example input file (replace with actual video file path)
|
|
input_file = Path("example_input.mp4")
|
|
|
|
if input_file.exists():
|
|
print(f"Processing video: {input_file}")
|
|
|
|
# Process the video
|
|
result = processor.process_video(
|
|
input_path=input_file, output_dir=temp_path / "outputs"
|
|
)
|
|
|
|
print("Processing complete!")
|
|
print(f"Video ID: {result.video_id}")
|
|
print(f"Formats created: {list(result.encoded_files.keys())}")
|
|
|
|
# Display output files
|
|
for format_name, file_path in result.encoded_files.items():
|
|
print(f" {format_name}: {file_path}")
|
|
|
|
if result.thumbnail_file:
|
|
print(f"Thumbnail: {result.thumbnail_file}")
|
|
|
|
if result.sprite_files:
|
|
sprite_img, sprite_vtt = result.sprite_files
|
|
print(f"Sprite image: {sprite_img}")
|
|
print(f"Sprite WebVTT: {sprite_vtt}")
|
|
|
|
else:
|
|
print(f"Input file not found: {input_file}")
|
|
print("Create an example video file or modify the path in this script.")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
basic_processing_example()
|