sm-ai-pose-generator 1767000.207.312
High-quality integration for https://supermaker.ai/image/ai-pose-generator/
Requires Python: >=3.6

# 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](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/