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artem 2025-04-14 21:23:26 +03:00
parent 54642a15f5
commit d2b72ca916
3 changed files with 7 additions and 5 deletions
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5
ml/cats.py
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@ -1,12 +1,13 @@
import json import json
from PIL import ImageFile from PIL import ImageFile
ImageFile.LOAD_TRUNCATED_IMAGES = True
import torch.nn as nn import torch.nn as nn
from torchvision.datasets import ImageFolder # type: ignore from torchvision.datasets import ImageFolder # type: ignore
from torch.utils.data import DataLoader from torch.utils.data import DataLoader
from train import get_labels, load_model, get_loaders, train, show, DEVICE from train import get_labels, load_model, get_loaders, train, show, DEVICE # type: ignore
ImageFile.LOAD_TRUNCATED_IMAGES = True
print(f"Using device: {DEVICE}") print(f"Using device: {DEVICE}")
IMG_SIZE = (180, 180) IMG_SIZE = (180, 180)

5
ml/dogs.py
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@ -1,12 +1,13 @@
import json import json
from PIL import ImageFile from PIL import ImageFile
ImageFile.LOAD_TRUNCATED_IMAGES = True
import torch.nn as nn import torch.nn as nn
from torchvision.datasets import ImageFolder # type: ignore from torchvision.datasets import ImageFolder # type: ignore
from torch.utils.data import DataLoader from torch.utils.data import DataLoader
from train import get_labels, load_model, get_loaders, train, show, DEVICE from train import get_labels, load_model, get_loaders, train, show, DEVICE # type: ignore
ImageFile.LOAD_TRUNCATED_IMAGES = True
print(f"Using device: {DEVICE}") print(f"Using device: {DEVICE}")
IMG_SIZE = (180, 180) IMG_SIZE = (180, 180)

2
ml/train.py
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@ -6,7 +6,7 @@ from torchvision.datasets import ImageFolder # type: ignore
from torch.utils.data import Dataset, DataLoader, random_split from torch.utils.data import Dataset, DataLoader, random_split
from torchvision import transforms # type: ignore from torchvision import transforms # type: ignore
import torchvision import torchvision
from torchvision.models import ResNet50_Weights from torchvision.models import ResNet50_Weights # type: ignore
from typing import Tuple from typing import Tuple
DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu") DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")