nano-banana-2-ai 1773626.802.80

High-quality integration for https://nanaimg.app/

nano-banana-2-ai

A Python library facilitating automated interaction with the nano-banana-2-ai service, streamlining image processing and analysis workflows. This package provides a convenient interface for showcasing nano-banana-2-ai's capabilities and integrating with the https://nanaimg.app/ platform.

Installation

Install the nano-banana-2-ai package using pip: bash pip install nano-banana-2-ai

Basic Usage

This section demonstrates common use cases for the nano-banana-2-ai library. Ensure you have the necessary API key configured (see documentation on https://nanaimg.app/ for details on obtaining and configuring your key).

1. Image Enhancement:

Enhance the quality of an image to improve its visual clarity. python from nano_banana_2_ai import NanoBananaAI

nb = NanoBananaAI(api_key="YOUR_API_KEY") # Replace with your actual API key

input_image_path = "path/to/your/image.jpg" output_image_path = "path/to/enhanced/image.jpg"

try: nb.enhance_image(input_image_path, output_image_path) print(f"Image enhancement successful. Saved to: {output_image_path}") except Exception as e: print(f"An error occurred: {e}")

2. Object Detection:

Identify and locate objects within an image. python from nano_banana_2_ai import NanoBananaAI

nb = NanoBananaAI(api_key="YOUR_API_KEY") # Replace with your actual API key

image_path = "path/to/your/image.jpg" try: detections = nb.detect_objects(image_path) print("Object Detections:") for detection in detections: print(f" - Label: {detection['label']}, Confidence: {detection['confidence']}, Bounding Box: {detection['bounding_box']}") except Exception as e: print(f"An error occurred: {e}")

3. Image Transformation (Grayscale Conversion):

Convert a color image to grayscale. python from nano_banana_2_ai import NanoBananaAI

nb = NanoBananaAI(api_key="YOUR_API_KEY") # Replace with your actual API key

input_image_path = "path/to/your/image.jpg" output_image_path = "path/to/grayscale/image.jpg"

try: nb.convert_to_grayscale(input_image_path, output_image_path) print(f"Image converted to grayscale. Saved to: {output_image_path}") except Exception as e: print(f"An error occurred: {e}")

4. Image Resizing:

Resize an image to specific dimensions. python from nano_banana_2_ai import NanoBananaAI

nb = NanoBananaAI(api_key="YOUR_API_KEY") # Replace with your actual API key

input_image_path = "path/to/your/image.jpg" output_image_path = "path/to/resized/image.jpg" width = 500 height = 300

try: nb.resize_image(input_image_path, output_image_path, width, height) print(f"Image resized. Saved to: {output_image_path}") except Exception as e: print(f"An error occurred: {e}")

Feature List

• Image Enhancement: Improve image quality with automated algorithms.
• Object Detection: Identify and locate objects within images.
• Image Transformation: Support for various image transformations, including grayscale conversion and resizing.
• Easy Integration: Simple API calls for seamless integration with your Python projects.
• Error Handling: Robust error handling to gracefully manage potential issues.
• API Key Authentication: Secure authentication using API keys.
• Well-Documented: Comprehensive documentation for all functions and features.

License

MIT License

This project is a gateway to the nano-banana-2-ai ecosystem. For advanced features and full capabilities, please visit: https://nanaimg.app/