RGB/Dynamic Background/Aqu@theque/convert.py

import os
import csv
import re

def get_image_names(folder_path):
    """
    List image files whose numeric IDs fall into specified ranges.
    """
    # List all files and sort
    files = os.listdir(folder_path)
    files.sort()
    
    # Keep only .png images
    image_files = [f for f in files if f.lower().endswith('.png')]
    
    selected_images = []
    # Regex to extract numeric ID
    pattern = re.compile(r'image(\d+)\.png')
    
    for filename in image_files:
        match = pattern.match(filename)
        if match:
            num = int(match.group(1))
            # Define the numeric ranges to include
            if (
                (0 <= num <= 271) or
                (335 <= num <= 365) or
                (410 <= num <= 440) or
                (580 <= num <= 619)
            ):
                selected_images.append(filename)
    return selected_images


def save_image_names_to_csv(folder1_path, folder2_path, csv_filename):
    """
    Save paired image names and class labels into a CSV.
    """
    # Get image names for both folders
    folder1_image_names = get_image_names(folder1_path)
    folder2_image_names = get_image_names(folder2_path)

    print('The number of images in folder1:', len(folder1_image_names))
    print('The number of images in folder2:', len(folder2_image_names))

    # Ensure same number of images
    if len(folder1_image_names) != len(folder2_image_names):
        raise ValueError("The folders have different numbers of selected images. Cannot zip them safely.")

    # Create labels: class 1 for all rows
    class_labels = [1] * len(folder1_image_names)

    # Combine into rows
    data = list(zip(folder1_image_names, folder2_image_names, class_labels))

    # Write to CSV
    with open(csv_filename, 'w', newline='') as csv_file:
        csv_writer = csv.writer(csv_file)
        # Optional header
        #csv_writer.writerow(['Folder1_Image', 'Folder2_Image', 'Class'])
        csv_writer.writerows(data)


def csv_to_txt(csv_filename, txt_filename):
    """
    Convert a CSV file into a space-separated TXT file.
    """
    with open(txt_filename, "w") as txt_file:
        with open(csv_filename, "r") as csv_file:
            reader = csv.reader(csv_file)
            for row in reader:
                txt_file.write(" ".join(row) + "\n")


if __name__ == "__main__":
    # Paths to your folders
    folder1_path = './mask/'
    folder2_path = './img/'

    # Output files
    csv_filename = 'label6.csv'
    txt_filename = 'label6.txt'

    # Generate CSV
    save_image_names_to_csv(folder1_path, folder2_path, csv_filename)

    # Convert CSV to TXT
    csv_to_txt(csv_filename, txt_filename)

    print("Done: CSV and TXT files created successfully.")