Files
mixvideo-v2/cargos/tvai/examples/video_processing.rs
imeepos bdac328e19 feat: 完成 tvai 库测试和文档 (阶段六) - 项目完成
集成测试套件
- 创建完整的集成测试 (integration_tests.rs)
- 测试库初始化和配置管理
- 测试 GPU 检测和优化功能
- 测试性能监控和基准测试
- 测试错误处理和用户友好消息
- 测试配置文件持久化
- 测试模型和参数验证
- 测试临时文件管理
- 所有测试通过

 性能基准测试
- 创建完整的基准测试套件 (performance_benchmarks.rs)
- GPU 检测性能: ~193ms
- 设置保存/加载: ~1.56ms
- 预设查找: ~29ns (超快)
- 临时文件管理: ~96μs
- 参数验证: ~3.6ns (极快)
- 错误消息生成: ~266ns
- 模型操作: ~1.9ns (极快)
- 系统检测: 24μs - 30ms

 完整 API 文档
- 创建详细的 API 文档 (docs/API.md)
- 核心组件使用指南
- 所有方法和参数说明
- 代码示例和最佳实践
- 错误处理指南
- 性能优化建议

 用户指南
- 创建完整的用户指南 (docs/USER_GUIDE.md)
- 快速入门教程
- 常见用例和场景
- 配置管理指南
- 模型选择指南
- 性能优化技巧
- 故障排除指南

 更新项目文档
- 更新主 README.md
- 标记项目为 100% 完成
- 添加文档链接和使用指南
- 添加性能和测试信息
- 添加开发设置说明
- 添加变更日志

 测试结果总结
-  单元测试: 6/6 通过
-  集成测试: 10/10 通过
-  文档测试: 1/1 通过
-  基准测试: 13/13 完成
-  所有示例运行成功

 最终项目统计
- **总代码行数**: 4,127行
- **模块文件**: 25个
- **示例文件**: 6个
- **测试文件**: 2个 (单元 + 集成)
- **基准测试**: 1个 (13项基准)
- **文档文件**: 3个 (API + 用户指南 + README)

 功能完整性 (100%)
-  视频处理 (超分辨率 + 插值)
-  图片处理 (超分辨率 + 批量)
-  格式转换 (视频  图片序列)
-  便捷接口 (一键处理函数)
-  配置管理 (全局设置 + 预设)
-  性能优化 (GPU检测 + 监控)
-  错误处理 (用户友好消息)
-  文档和测试 (完整覆盖)

 项目状态: 完成 (COMPLETE)
所有六个开发阶段已完成,tvai 库已准备好用于生产环境!
2025-08-11 16:20:27 +08:00

227 lines
8.7 KiB
Rust

//! Video processing examples demonstrating all video enhancement features
use tvai::*;
#[tokio::main]
async fn main() -> std::result::Result<(), Box<dyn std::error::Error>> {
println!("Topaz Video AI Library - Video Processing Examples");
// Detect Topaz installation
if let Some(topaz_path) = detect_topaz_installation() {
println!("Found Topaz Video AI at: {}", topaz_path.display());
// Create configuration
let config = TvaiConfig::builder()
.topaz_path(topaz_path)
.use_gpu(true)
.build()?;
// Create processor
let mut processor = TvaiProcessor::new(config)?;
println!("Processor created successfully");
// Demonstrate video upscaling
demonstrate_video_upscaling(&mut processor).await?;
// Demonstrate frame interpolation
demonstrate_frame_interpolation(&mut processor).await?;
// Demonstrate combined enhancement
demonstrate_combined_enhancement(&mut processor).await?;
// Demonstrate format conversion
demonstrate_format_conversion(&mut processor).await?;
// Demonstrate quick functions
demonstrate_quick_functions().await?;
println!("All video processing examples completed successfully!");
} else {
println!("Topaz Video AI not found. Please install it first.");
}
Ok(())
}
async fn demonstrate_video_upscaling(processor: &mut TvaiProcessor) -> std::result::Result<(), Box<dyn std::error::Error>> {
println!("\n=== Video Upscaling Demo ===");
// Create upscaling parameters for different scenarios
let scenarios = vec![
("General Purpose", VideoUpscaleParams {
scale_factor: 2.0,
model: UpscaleModel::Iris3,
compression: 0.0,
blend: 0.1,
quality_preset: QualityPreset::HighQuality,
}),
("Old Video Restoration", VideoUpscaleParams::for_old_video()),
("Game Content", VideoUpscaleParams::for_game_content()),
("Animation", VideoUpscaleParams::for_animation()),
("Portrait Video", VideoUpscaleParams::for_portrait()),
];
for (name, params) in scenarios {
println!("Scenario: {}", name);
println!(" Model: {} ({})", params.model.as_str(), params.model.description());
println!(" Scale: {}x", params.scale_factor);
println!(" Compression: {}", params.compression);
println!(" Blend: {}", params.blend);
println!(" Quality: {:?}", params.quality_preset);
// In a real scenario, you would call:
// let result = processor.upscale_video(input, output, params, Some(&progress_callback)).await?;
// println!(" Processing time: {:?}", result.processing_time);
}
Ok(())
}
async fn demonstrate_frame_interpolation(processor: &mut TvaiProcessor) -> std::result::Result<(), Box<dyn std::error::Error>> {
println!("\n=== Frame Interpolation Demo ===");
// Create interpolation parameters for different scenarios
let scenarios = vec![
("Slow Motion (24fps -> 60fps)", InterpolationParams {
input_fps: 24,
multiplier: 2.5,
model: InterpolationModel::Apo8,
target_fps: Some(60),
}),
("Animation Smoothing", InterpolationParams::for_animation(12, 2.0)),
("High Quality Slow Motion", InterpolationParams::for_slow_motion(30, 4.0)),
("Fast Processing", InterpolationParams {
input_fps: 24,
multiplier: 2.0,
model: InterpolationModel::Apf1,
target_fps: None,
}),
];
for (name, params) in scenarios {
let target_fps = params.target_fps.unwrap_or((params.input_fps as f32 * params.multiplier) as u32);
println!("Scenario: {}", name);
println!(" Model: {} ({})", params.model.as_str(), params.model.description());
println!(" Input FPS: {}", params.input_fps);
println!(" Multiplier: {}x", params.multiplier);
println!(" Target FPS: {}", target_fps);
// In a real scenario, you would call:
// let result = processor.interpolate_video(input, output, params, Some(&progress_callback)).await?;
// println!(" Processing time: {:?}", result.processing_time);
}
Ok(())
}
async fn demonstrate_combined_enhancement(processor: &mut TvaiProcessor) -> std::result::Result<(), Box<dyn std::error::Error>> {
println!("\n=== Combined Enhancement Demo ===");
// Create combined enhancement parameters
let scenarios = vec![
("Complete Enhancement", VideoEnhanceParams {
upscale: Some(VideoUpscaleParams {
scale_factor: 2.0,
model: UpscaleModel::Iris3,
compression: 0.0,
blend: 0.1,
quality_preset: QualityPreset::HighQuality,
}),
interpolation: Some(InterpolationParams {
input_fps: 24,
multiplier: 2.0,
model: InterpolationModel::Apo8,
target_fps: Some(48),
}),
}),
("Upscale Only", VideoEnhanceParams {
upscale: Some(VideoUpscaleParams::for_old_video()),
interpolation: None,
}),
("Interpolation Only", VideoEnhanceParams {
upscale: None,
interpolation: Some(InterpolationParams::for_slow_motion(30, 2.0)),
}),
];
for (name, params) in scenarios {
println!("Scenario: {}", name);
if let Some(ref upscale) = params.upscale {
println!(" Upscale: {} @ {}x", upscale.model.as_str(), upscale.scale_factor);
}
if let Some(ref interpolation) = params.interpolation {
let target_fps = interpolation.target_fps.unwrap_or((interpolation.input_fps as f32 * interpolation.multiplier) as u32);
println!(" Interpolation: {} ({}fps -> {}fps)",
interpolation.model.as_str(),
interpolation.input_fps,
target_fps
);
}
// In a real scenario, you would call:
// let result = processor.enhance_video(input, output, params, Some(&progress_callback)).await?;
// println!(" Processing time: {:?}", result.processing_time);
}
Ok(())
}
async fn demonstrate_format_conversion(processor: &mut TvaiProcessor) -> std::result::Result<(), Box<dyn std::error::Error>> {
println!("\n=== Format Conversion Demo ===");
// Demonstrate image sequence to video conversion
println!("Image Sequence to Video:");
println!(" - Collect image files in sequence");
println!(" - Set target FPS (e.g., 24, 30, 60)");
println!(" - Choose quality preset");
println!(" - Generate video file");
// In a real scenario:
// let image_paths = vec![/* image file paths */];
// let result = processor.images_to_video(&image_paths, output_video, 30.0, QualityPreset::HighQuality, Some(&progress_callback)).await?;
println!("\nVideo to Image Sequence:");
println!(" - Extract all frames from video");
println!(" - Choose output format (PNG, JPG, etc.)");
println!(" - Set quality level");
println!(" - Generate numbered image files");
// In a real scenario:
// let image_paths = processor.video_to_images(input_video, output_dir, "png", 95, Some(&progress_callback)).await?;
// println!(" Extracted {} frames", image_paths.len());
Ok(())
}
async fn demonstrate_quick_functions() -> std::result::Result<(), Box<dyn std::error::Error>> {
println!("\n=== Quick Functions Demo ===");
println!("Quick Upscale Video:");
println!(" - One-line video upscaling");
println!(" - Automatic Topaz detection");
println!(" - Default high-quality settings");
println!(" - Usage: quick_upscale_video(input, output, 2.0).await?");
println!("\nAuto Enhance Video:");
println!(" - Intelligent enhancement detection");
println!(" - Automatic parameter selection");
println!(" - Based on video characteristics");
println!(" - Usage: auto_enhance_video(input, output).await?");
// In a real scenario:
// let result = quick_upscale_video(Path::new("input.mp4"), Path::new("output.mp4"), 2.0).await?;
// let result = auto_enhance_video(Path::new("input.mp4"), Path::new("enhanced.mp4")).await?;
Ok(())
}
// Progress callback example
fn create_progress_callback(operation_name: &str) -> ProgressCallback {
let name = operation_name.to_string();
Box::new(move |progress| {
let percentage = (progress * 100.0) as u32;
println!("{}: {}%", name, percentage);
})
}