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import os
import csv
import random
def generate_csv(image_folder, mask_folder, output_csv):
# List all image files in the folder
img_files = [f for f in os.listdir(image_folder) if f.endswith('.png')]
# Ensure reproducibility by setting a random seed
random.seed(42)
random.shuffle(img_files)
# Split the list into 70% training and 30% testing
split_index = int(len(img_files) * 0.7)
train_files = img_files[:split_index]
test_files = img_files[split_index:]
# Open the CSV file for writing
with open(output_csv, 'w', newline='') as csvfile:
fieldnames = ['imgs', 'labels', 'split', 'fold']
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
writer.writeheader() # Write the CSV header
# Helper function to write rows to the CSV
def write_rows(files, split_type):
for img_filename in files:
base_filename = os.path.splitext(img_filename)[0] # Get the base filename without extension
mask_filename = os.path.join(mask_folder, f"{base_filename}_mask.png") # Construct mask filename
img_filepath = os.path.join(image_folder, img_filename) # Full path to the image file
# Ensure the mask file exists before writing to CSV
if os.path.exists(mask_filename):
writer.writerow({
'imgs': img_filepath,
'labels': mask_filename,
'split': split_type,
'fold': 0
})
else:
print(f"Warning: Mask file not found for image {img_filename}, skipping.")
# Write training data
write_rows(train_files, 'training')
# Write testing data
write_rows(test_files, 'test')
# Example usage
image_folder = '/home/abdelrahman.elsayed/DIAS/images' # Folder with image files
mask_folder = '/home/abdelrahman.elsayed/DIAS/masks' # Folder with mask files
output_csv = '/home/abdelrahman.elsayed/DIAS/data_split.csv' # Output CSV file path
generate_csv(image_folder, mask_folder, output_csv)
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