split.py

import os
import shutil
import random
from glob import glob
from tqdm import tqdm

SOURCE_ROOT = r"C:\Users\charu\Documents\goyam\roboflow\train"
SOURCE_IMAGES = os.path.join(SOURCE_ROOT, "images")
SOURCE_LABELS = os.path.join(SOURCE_ROOT, "labels")


DEST_DIR = r"C:\Users\charu\Documents\goyam\roboflow\final_split"

TRAIN_RATIO = 0.8


def split_dataset():
  
    if os.path.exists(DEST_DIR):
        print(f"⚠️ Warning: Destination folder already exists: {DEST_DIR}")
        print("   (Ideally, delete it before running this to avoid mixing old data!)")
    
    for split in ['train', 'val']:
        os.makedirs(os.path.join(DEST_DIR, split, 'images'), exist_ok=True)
        os.makedirs(os.path.join(DEST_DIR, split, 'labels'), exist_ok=True)

  
    print(f"🔍 Scanning images in: {SOURCE_IMAGES}")
    

    unique_images = set()
    
    # Check all extensions
    exts = ['*.jpg', '*.jpeg', '*.png', '*.JPG', '*.JPEG', '*.PNG']
    for ext in exts:
        files = glob(os.path.join(SOURCE_IMAGES, ext))
        for f in files:
            unique_images.add(f) 
            
    all_images = list(unique_images)
    

    random.shuffle(all_images)
    
    total_count = len(all_images)
    train_count = int(total_count * TRAIN_RATIO)
    
    if total_count == 0:
        print(" Error: No images found!")
        return

    print(f"Found {total_count} unique images.")
    print(f"   -> Training: {train_count}")
    print(f"   -> Validation: {total_count - train_count}")

    # 3. Copy Files
    print("Organizing files...")
    for i, img_path in enumerate(tqdm(all_images)):
        split = 'train' if i < train_count else 'val'
        
        filename = os.path.basename(img_path)
        name_no_ext = os.path.splitext(filename)[0]
        
        dest_img_path = os.path.join(DEST_DIR, split, 'images', filename)
        
        # Check label (Look for .txt)
        src_txt_path = os.path.join(SOURCE_LABELS, name_no_ext + ".txt")
        dest_txt_path = os.path.join(DEST_DIR, split, 'labels', name_no_ext + ".txt")
        
        shutil.copy(img_path, dest_img_path)
        
        if os.path.exists(src_txt_path):
            shutil.copy(src_txt_path, dest_txt_path)

    print(f"\nDone! Your dataset is ready at:")
    print(f"   {DEST_DIR}")

if __name__ == "__main__":
    split_dataset()