sm-ai-pose-generator

The sm-ai-pose-generator library provides a convenient and automated way to interact with the SuperMaker AI Pose Generator. It streamlines the process of generating poses from images and integrating the results into your Python workflows.

Installation

You can install sm-ai-pose-generator using pip: bash pip install sm-ai-pose-generator

Basic Usage

Here are a few examples demonstrating how to use the sm-ai-pose-generator library:

Example 1: Generating a pose from a local image file: python from sm_ai_pose_generator import PoseGenerator

Replace 'path/to/your/image.jpg' with the actual path to your image file.

image_path = 'path/to/your/image.jpg'

try: pose_generator = PoseGenerator() pose_data = pose_generator.generate_pose(image_path)

if pose_data:
    print("Pose data generated successfully:")
    print(pose_data)  # Pose data will be a dictionary containing pose information.
else:
    print("Failed to generate pose data.")

except Exception as e: print(f"An error occurred: {e}")

Example 2: Generating a pose from an image URL: python from sm_ai_pose_generator import PoseGenerator

Replace 'https://example.com/image.jpg' with the actual URL of your image.

image_url = 'https://example.com/image.jpg'

try: pose_generator = PoseGenerator() pose_data = pose_generator.generate_pose(image_url)

if pose_data:
    print("Pose data generated successfully:")
    print(pose_data)
else:
    print("Failed to generate pose data.")

except Exception as e: print(f"An error occurred: {e}")

Example 3: Handling Errors Gracefully: python from sm_ai_pose_generator import PoseGenerator

image_path = 'invalid/path/to/image.jpg' # Intentionally invalid path

try: pose_generator = PoseGenerator() pose_data = pose_generator.generate_pose(image_path)

if pose_data:
    print("Pose data generated successfully:")
    print(pose_data)
else:
    print("Failed to generate pose data.")

except FileNotFoundError as e: print(f"Error: Image file not found at {e.filename}") except Exception as e: print(f"An unexpected error occurred: {e}")

Example 4: Saving the Pose Data to a File (JSON): python import json from sm_ai_pose_generator import PoseGenerator

image_path = 'path/to/your/image.jpg'

try: pose_generator = PoseGenerator() pose_data = pose_generator.generate_pose(image_path)

if pose_data:
    with open('pose_data.json', 'w') as f:
        json.dump(pose_data, f, indent=4) # Save with indentation for readability
    print("Pose data saved to pose_data.json")
else:
    print("Failed to generate pose data.")

except Exception as e: print(f"An error occurred: {e}")

Features

• Automated Pose Generation: Simplifies the process of generating poses from images.
• Image Source Flexibility: Supports both local image files and image URLs.
• Error Handling: Provides mechanisms for handling potential errors during pose generation.
• Data Serialization: Enables easy saving of generated pose data in standard formats like JSON.
• Seamless Integration: Designed for smooth integration with existing Python workflows.

License

This project is licensed under the MIT License - see the LICENSE file for details.

This project is a gateway to the sm-ai-pose-generator ecosystem. For advanced features and full capabilities, please visit: https://supermaker.ai/image/ai-pose-generator/