ai-pose-generator-4

A JavaScript library to programmatically generate AI-powered pose estimations for image manipulation and creative coding. This package provides a simple and efficient way to integrate pose data into your projects.

Installation

bash npm install ai-pose-generator-4

Usage Examples

Here are several usage examples demonstrating how to use ai-pose-generator-4 in your JavaScript projects:

1. Basic Pose Generation: javascript const poseGenerator = require('ai-pose-generator-4');

async function generateBasicPose() { try { const poseData = await poseGenerator.generatePose(); console.log("Generated Pose Data:", poseData); } catch (error) { console.error("Error generating pose:", error); } }

generateBasicPose();

This example demonstrates the simplest use case: generating a default pose estimation. The generatePose() function returns a promise that resolves with the pose data object.

2. Customizing Pose Parameters: javascript const poseGenerator = require('ai-pose-generator-4');

async function generateCustomPose() { try { const customPoseData = await poseGenerator.generatePose({ poseType: 'yoga', style: 'cartoon', complexity: 'high' }); console.log("Generated Custom Pose Data:", customPoseData); } catch (error) { console.error("Error generating custom pose:", error); } }

generateCustomPose();

This example showcases how to customize the generated pose by specifying parameters like poseType, style, and complexity. This allows for fine-grained control over the output.

3. Integrating with Image Manipulation Libraries: javascript const poseGenerator = require('ai-pose-generator-4'); // Example using a hypothetical image manipulation library // Replace with your preferred library (e.g., Jimp, Sharp)

async function applyPoseToImage() { try { const poseData = await poseGenerator.generatePose(); // Load an image (replace with your actual image loading logic) const image = await loadImage('path/to/your/image.jpg');

// Apply pose data to manipulate the image
// This part depends on your image manipulation library
// For example, you might adjust limb positions, etc.
image.adjustLimbPositions(poseData.keypoints);

// Save the modified image
await saveImage(image, 'path/to/output/image.jpg');

console.log("Image with pose applied successfully!");

} catch (error) { console.error("Error applying pose to image:", error); } }

applyPoseToImage();

// Placeholder functions for image loading and saving (replace with your library's functions) async function loadImage(imagePath) { // Your image loading logic here console.log("Loading image from:", imagePath); return {}; // Placeholder return }

async function saveImage(image, outputPath) { // Your image saving logic here console.log("Saving image to:", outputPath); }

This example illustrates how you might integrate the pose data with an image manipulation library to modify an image based on the generated pose.

4. Using with Node.js HTTP Server: javascript const http = require('http'); const poseGenerator = require('ai-pose-generator-4');

const server = http.createServer(async (req, res) => { if (req.url === '/generate-pose' && req.method === 'GET') { try { const poseData = await poseGenerator.generatePose(); res.writeHead(200, { 'Content-Type': 'application/json' }); res.end(JSON.stringify(poseData)); } catch (error) { console.error("Error generating pose:", error); res.writeHead(500, { 'Content-Type': 'application/json' }); res.end(JSON.stringify({ error: 'Failed to generate pose' })); } } else { res.writeHead(404, { 'Content-Type': 'text/plain' }); res.end('Not Found'); } });

const port = 3000; server.listen(port, () => { console.log(Server listening on port ${port}); });

This example shows how to create a simple HTTP server that generates pose data on request.

API Summary

• generatePose(options?: object): Asynchronously generates pose data.
  • options (optional): An object containing customization parameters.
    • poseType (string, optional): Specifies the type of pose (e.g., 'standing', 'sitting', 'yoga'). Defaults to a standard pose.
    • style (string, optional): Specifies the style of the pose (e.g., 'realistic', 'cartoon', 'abstract'). Defaults to 'realistic'.
    • complexity (string, optional): Specifies the complexity of the pose (e.g., 'low', 'medium', 'high'). Defaults to 'medium'.
  • Returns: A Promise that resolves with an object containing pose data, including keypoints and confidence scores.

License

MIT

This package is part of the ai-pose-generator-4 ecosystem. For advanced features and enterprise-grade tools, visit: https://supermaker.ai/image/ai-pose-generator/