# DeepLabV3+ Package
"""
DeepLabV3+ Semantic Segmentation Model for Water Body Detection

사용 예시:
    # 모델 생성
    from app.AI_modules.DeepLabV3 import create_model
    model = create_model(image_size=128)

    # 데이터 로드
    from app.AI_modules.DeepLabV3 import load_data
    train_ds = load_data('/path/to/images/', trim=[100, 600])

    # 학습
    from app.AI_modules.DeepLabV3 import train
    model, history = train(image_path='/path/to/images/')

    # 저장된 모델 로드
    from app.AI_modules.DeepLabV3 import load_model
    model = load_model('DeepLabV3-Plus.h5')
"""

# Config
from .config import (
    IMAGE_SIZE,
    BATCH_SIZE,
    LEARNING_RATE,
    EPOCHS,
    IMAGE_PATH,
    MODEL_SAVE_PATH,
)

# Data Loading
from .data_loader_original import (
    load_image,
    load_images,
    load_data,
    create_dataset_from_paths,
)

# Layers
from .layers import (
    ConvBlock,
    AtrousSpatialPyramidPooling,
)

# Model
from .model import (
    create_model,
    load_model,
)

# Utils
from .utils import (
    show_images,
    show_single_prediction,
    prediction_to_base64,
    mask_to_binary,
    calculate_iou,
)

# Training
from .train import train

__all__ = [
    # Config
    'IMAGE_SIZE',
    'BATCH_SIZE',
    'LEARNING_RATE',
    'EPOCHS',
    'IMAGE_PATH',
    'MODEL_SAVE_PATH',
    # Data Loading
    'load_image',
    'load_images',
    'load_data',
    'create_dataset_from_paths',
    # Layers
    'ConvBlock',
    'AtrousSpatialPyramidPooling',
    # Model
    'create_model',
    'load_model',
    # Utils
    'show_images',
    'show_single_prediction',
    'prediction_to_base64',
    'mask_to_binary',
    'calculate_iou',
    # Training
    'train',
]