# 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<dyn std::error::Error>> {
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<dyn std::error::Error>> {
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<dyn std::error::Error>> {
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<dyn std::error::Error>> {
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/