convert jpg images in mnist fashion database in python

To convert JPG images into the MNIST fashion database format in Python, you need to perform the following steps:

Import the required libraries:


main.py
import os
import numpy as np
from PIL import Image
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Define the function to convert the JPG images into the desired format:


main.py
def convert_images(images_dir, labels_path, output_dir):
    # Load the labels file
    labels = np.loadtxt(labels_path, dtype=int)

    # Create the output directory if it doesn't exist
    os.makedirs(output_dir, exist_ok=True)

    # Loop through each image in the images directory
    for i, filename in enumerate(os.listdir(images_dir)):
        # Read the image file
        img = Image.open(os.path.join(images_dir, filename))

        # Convert the image to grayscale
        img = img.convert('L')

        # Resize the image to 28x28 pixels
        img = img.resize((28, 28))

        # Save the image with the corresponding label as the filename
        img.save(os.path.join(output_dir, f"{i}_{labels[i]}.jpg"))
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Provide the necessary inputs and run the conversion function:


main.py
images_dir = '/path/to/jpg/images/directory'
labels_path = '/path/to/labels/file.txt'
output_dir = '/path/to/output/directory'

convert_images(images_dir, labels_path, output_dir)
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Make sure to replace /path/to/jpg/images/directory with the directory path where your JPG images are located, /path/to/labels/file.txt with the path to the file containing your labels, and /path/to/output/directory with the desired output directory to save the converted images.

This code assumes that your labels file contains one label per line, corresponding to the order of the images in your images directory. The converted images will be saved with filenames in the format <index>_<label>.jpg.

With the above steps, you should be able to convert the JPG images into the MNIST fashion database format in Python.

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