PalmOilRipenessDetection-Python/train_script.py

from ultralytics import YOLO

def main():
    model = YOLO('yolov8n.pt') 

    model.train(
        data='datasets/data.yaml', 
        epochs=50, 
        imgsz=640, 
        device='cpu',
        # --- RESOURCE LIMITS ---
        batch=4,          # Lower = less RAM used. Start with 4. 
        workers=1,        # 1 or 2. Prevents the CPU from maxing all cores for data loading.
        cache=False       # Don't store the whole dataset in RAM.
    )

if __name__ == '__main__':
    main()