import albumentations as A
import torch

from albumentations.pytorch import ToTensorV2


CHECKPOINT_FILE = 'x_ray_model.pth.tar'
DATASET_PATH = './dataset'
IMAGES_DATASET = './dataset/images'

DEVICE = 'cpu'
BATCH_SIZE = 16
PIN_MEMORY = False
VOCAB_THRESHOLD = 2

FEATURES_SIZE = 1024
EMBED_SIZE = 300
HIDDEN_SIZE = 256

LEARNING_RATE = 4e-5
EPOCHS = 50

LOAD_MODEL = True
SAVE_MODEL = True

basic_transforms = A.Compose([
    A.Resize(
        height=256,
        width=256
    ),
    A.Normalize(
        mean=(0.485, 0.456, 0.406),
        std=(0.229, 0.224, 0.225),
    ),
    ToTensorV2()
])