ai-pose-generator-3

A Rust crate for generating AI-assisted human poses, providing a foundation for creative applications and image manipulation. This crate offers a simple and efficient API to create and manipulate pose data.

Installation

Add the following to your Cargo.toml file under the [dependencies] section: toml ai-pose-generator-3 = "0.1.0" # Replace with the actual version

Usage Examples

Here are several examples illustrating how to use the ai-pose-generator-3 crate:

1. Generating a Basic Pose: rust use ai_pose_generator_3::{Pose, Keypoint};

fn main() { // Create a new pose with some keypoints. let mut pose = Pose::new();

// Add a keypoint for the nose.
pose.add_keypoint(Keypoint {
    name: "nose".to_string(),
    x: 0.5,
    y: 0.2,
    confidence: 0.95,
});

// Add a keypoint for the left eye.
pose.add_keypoint(Keypoint {
    name: "left_eye".to_string(),
    x: 0.4,
    y: 0.15,
    confidence: 0.9,
});

// Print the pose details (for demonstration purposes).
println!("{:?}", pose);

}

2. Modifying an Existing Pose: rust use ai_pose_generator_3::{Pose, Keypoint};

fn main() { let mut pose = Pose::new(); pose.add_keypoint(Keypoint { name: "right_shoulder".to_string(), x: 0.7, y: 0.4, confidence: 0.8, });

// Modify the x coordinate of the right shoulder.
if let Some(keypoint) = pose.get_mut_keypoint("right_shoulder") {
    keypoint.x = 0.75;
}

println!("{:?}", pose);

}

3. Creating a Pose from a JSON String: rust use ai_pose_generator_3::Pose;

fn main() { let json_data = r#" { "keypoints": [ { "name": "left_wrist", "x": 0.2, "y": 0.8, "confidence": 0.7 }, { "name": "right_wrist", "x": 0.8, "y": 0.8, "confidence": 0.75 } ] } "#;

let pose = Pose::from_json(json_data).unwrap(); // Handle potential errors

println!("{:?}", pose);

}

4. Calculating the Distance Between Two Keypoints: rust use ai_pose_generator_3::{Pose, Keypoint};

fn main() { let mut pose = Pose::new(); pose.add_keypoint(Keypoint { name: "left_hip".to_string(), x: 0.3, y: 0.6, confidence: 0.8, }); pose.add_keypoint(Keypoint { name: "right_hip".to_string(), x: 0.7, y: 0.6, confidence: 0.75, });

let distance = pose.distance_between_keypoints("left_hip", "right_hip").unwrap_or(0.0); //Handle possible errors
println!("Distance between hips: {}", distance);

}

5. Filtering Keypoints by Confidence: rust use ai_pose_generator_3::{Pose, Keypoint};

fn main() { let mut pose = Pose::new(); pose.add_keypoint(Keypoint { name: "left_knee".to_string(), x: 0.3, y: 0.7, confidence: 0.6, }); pose.add_keypoint(Keypoint { name: "right_knee".to_string(), x: 0.7, y: 0.7, confidence: 0.9, });

let filtered_keypoints = pose.filter_keypoints_by_confidence(0.7);

println!("Filtered Keypoints: {:?}", filtered_keypoints);

}

Feature Summary

• Pose Creation: Easily create new pose objects and add keypoints.
• Keypoint Management: Add, modify, and retrieve keypoints within a pose.
• JSON Support: Import poses from JSON strings.
• Utility Functions: Calculate distances between keypoints and filter keypoints based on confidence levels.
• Data Structures: Well-defined structures for representing poses and keypoints.

License

MIT

This crate is part of the ai-pose-generator-3 ecosystem. For advanced features and enterprise-grade tools, visit: https://supermaker.ai/image/ai-pose-generator/