Restructure

Former-commit-id: beadb49b75ea79a3c0f95df589f64a8274419c5b

README.md

@@ -109,7 +109,7 @@ The Carvana data is available on the [Kaggle website](https://www.kaggle.com/c/c
 You can also download it using your Kaggle API key with:
 
 ```shell script
-bash download_data.sh <username> <apikey>
+bash scripts/download_data.sh <username> <apikey>
 ```
 
 ## Notes on memory

evaluate.py

@@ -2,7 +2,7 @@ import torch
 import torch.nn.functional as F
 from tqdm import tqdm
 
-from dice_score import multiclass_dice_coeff
+from utils.dice_score import multiclass_dice_coeff
 
 
 def evaluate(net, dataloader, device):

predict.py

@@ -8,7 +8,7 @@ import torch.nn.functional as F
 from PIL import Image
 from torchvision import transforms
 
-from data_loading import BasicDataset
+from utils.data_loading import BasicDataset
 from unet import UNet
 from utils import plot_img_and_mask
 

train.py

@@ -11,8 +11,8 @@ from torch import optim
 from torch.utils.data import DataLoader, random_split
 from tqdm import tqdm
 
-from data_loading import BasicDataset, CarvanaDataset
-from dice_score import dice_loss
+from utils.data_loading import BasicDataset, CarvanaDataset
+from utils.dice_score import dice_loss
 from evaluate import evaluate
 from unet import UNet