bananagan 0.2.0

Python library for generating synthetic images of banana diseases using Generative Adversarial Networks (GANs)

BananaGan

Description

BananaGan is a Python library for generating synthetic images of banana diseases using Generative Adversarial Networks (GANs). It provides a simple API to access the Pix2PixHd pre-trained models for different banana parts and disease types.

Installation

To install BananaGan, you can use pip:

pip install bananagan

Usage

Here are some examples of how to use BananaGan:

1. Generate an image of a pseudostem with Xanthomonas wilt:

from bananagan import *
from PIL import Image
from matplotlib import pyplot as plt

if __name__ == '__main__':
    image_path = "./../images/pseudostem-healthy.png"
    image_color = Image.open(image_path)
    model = BananaGan.get_model(PseudostemModels.xanthomonas_wilt)
    generated_image = model(input_image=image_color, block_size=13, c=1)

    fig = plt.figure(figsize=(10, 10))
    ax = fig.add_subplot(1, 2, 1)
    ax.imshow(image_color)
    ax.axis('off')
    ax.set_title('Original Image')

    ax = fig.add_subplot(1, 2, 2)
    ax.imshow(generated_image)
    ax.axis('off')
    ax.set_title('Generated Image')

    plt.tight_layout()
    plt.show()

2. Generate images with different parameters:

from bananagan import *
from PIL import Image
from matplotlib import pyplot as plt

if __name__ == '__main__':
    image_path = "./../images/pseudostem-healthy.png"
    image_color = Image.open(image_path)
    model = BananaGan.get_model(PseudostemModels.xanthomonas_wilt)

    images = []
    block_size = [3, 5, 7, 9, 11, 13]
    for bsz in block_size:
        generated_image = model(input_image=image_color, block_size=bsz, c=1)
        images.append(generated_image)

    fig = plt.figure(figsize=(10, 5))
    for i, generated_image in enumerate(images):
        ax = fig.add_subplot(1, len(images), i+1)
        ax.imshow(generated_image)
        ax.axis('off')
    plt.tight_layout()
    plt.show()

Available Models

Pseudostem Models:

• PseudostemModels.healthy: Generates healthy pseudostems.
• PseudostemModels.xanthomonas_wilt: Generates pseudostems with Xanthomonas wilt.
• PseudostemModels.fusarium_wilt: Generates pseudostems with Fusarium wilt.

Rachis Models:

• RachisModels.healthy: Generates healthy rachis.
• RachisModels.banana_blood_disease: Generates rachis with banana blood disease.

License

This project is licensed under the MIT License.