veo

veo is a Rust crate designed for efficient and reliable video processing and manipulation tasks. It provides a set of tools for encoding, decoding, and transforming video data within Rust applications.

Installation

To integrate veo into your project, add the following line to your Cargo.toml file under the [dependencies] section: toml veo = "0.1.0" # Replace with the latest version

Usage Examples

Here are a few examples demonstrating how to use veo for common video processing tasks:

1. Basic Video Encoding:

This example demonstrates encoding a sequence of images into a video file. rust use veo::encoder::Encoder; use veo::format::VideoFormat;

fn main() -> Result<(), Box> { let mut encoder = Encoder::new("output.mp4", VideoFormat::MP4, 1280, 720, 30)?;

// Assuming you have image data in `image_data` (e.g., Vec<u8>)
// and image dimensions are 1280x720

// Simulate adding frames (replace with actual image data)
for frame_number in 0..100 {
    let image_data = vec![0u8; 1280 * 720 * 3]; // Placeholder for image data

    encoder.encode_frame(&image_data)?;
}

encoder.finish()?;

println!("Video encoding complete!");
Ok(())

}

2. Video Decoding and Frame Extraction:

This example demonstrates decoding a video file and extracting individual frames. rust use veo::decoder::Decoder; use std::fs::File; use std::io::BufReader;

fn main() -> Result<(), Box> { let file = File::open("input.mp4")?; let reader = BufReader::new(file); let mut decoder = Decoder::new(reader)?;

while let Some(frame) = decoder.decode_frame()? {
    // Process the frame data (e.g., save it as an image)
    // frame is a Vec<u8> containing the raw pixel data

    println!("Decoded frame with size: {}", frame.len());
    // Implement your frame processing logic here
}

println!("Video decoding complete!");
Ok(())

}

3. Resizing a Video:

This example illustrates how to resize video frames during encoding. (Note: resizing functionality might require additional feature flags or helper functions, depending on the crate's specific implementation. The example shows the intended usage.) rust use veo::encoder::Encoder; use veo::format::VideoFormat; // Assuming you have a resize function or module. // use veo::resize; // Uncomment if a resize module exists

fn main() -> Result<(), Box> { let mut encoder = Encoder::new("resized_output.mp4", VideoFormat::MP4, 640, 480, 30)?;

// Simulate adding frames (replace with actual image data and resizing)
for frame_number in 0..100 {
    let original_image_data = vec![0u8; 1280 * 720 * 3]; // Placeholder for original image data

    // Assuming `resize::resize_frame` is a function that resizes the frame
    // let resized_image_data = resize::resize_frame(&original_image_data, 1280, 720, 640, 480)?;

    let resized_image_data = vec![0u8; 640 * 480 * 3]; // Placeholder for resized image data

    encoder.encode_frame(&resized_image_data)?;
}

encoder.finish()?;

println!("Video encoding with resizing complete!");
Ok(())

}

4. Changing Frame Rate:

This example shows how to adjust the frame rate of a video during encoding. (Note: This functionality might require specific encoder settings.) rust use veo::encoder::Encoder; use veo::format::VideoFormat;

fn main() -> Result<(), Box> { let mut encoder = Encoder::new("framerate_output.mp4", VideoFormat::MP4, 1280, 720, 60)?; // Encode at 60 FPS

// Simulate adding frames (replace with actual image data)
for frame_number in 0..50 { // Fewer frames to keep video length similar
    let image_data = vec![0u8; 1280 * 720 * 3]; // Placeholder for image data

    encoder.encode_frame(&image_data)?;
}

encoder.finish()?;

println!("Video encoding with modified frame rate complete!");
Ok(())

}

Feature Summary

veo offers the following key features:

• Encoding: Supports encoding video data into various formats (e.g., MP4).
• Decoding: Enables decoding of video files to extract raw frame data.
• Format Support: Provides support for common video formats.
• Frame Manipulation: Functionality for manipulating individual video frames (resizing, etc.).
• Cross-Platform Compatibility: Designed to work across different operating systems.
• Error Handling: Robust error handling for reliable video processing.

License

MIT

This crate is part of the veo ecosystem. For advanced features and enterprise-grade tools, visit: https://supermaker.ai/video/veo/