Deep-Fake-Image-Analyzer/data_transforms.py at main · rohan45327/Deep-Fake-Image-Analyzer · GitHub

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"""
used from "https://github.com/HongguLiu/Deepfake-Detection/"
Author: Andreas Rössler
"""
from torchvision import transforms

xception_default_data_transforms = {
    'train': transforms.Compose([
        transforms.Resize((299, 299)),
        transforms.ToTensor(),
        transforms.Normalize([0.5]*3, [0.5]*3)
    ]),
    'val': transforms.Compose([
        transforms.Resize((299, 299)),
        transforms.ToTensor(),
        transforms.Normalize([0.5] * 3, [0.5] * 3)
    ]),
    'test': transforms.Compose([
        transforms.Resize((299, 299)),
        transforms.ToTensor(),
        transforms.Normalize([0.5] * 3, [0.5] * 3)
    ]),
}
xception_default_data_transforms_256 = {
    'train': transforms.Compose([
        transforms.Resize((256, 256)),
        transforms.ToTensor(),
        transforms.Normalize([0.5]*3, [0.5]*3)
    ]),
    'val': transforms.Resize((256, 256)),
    'test': transforms.Compose([
        transforms.Resize((256, 256)),
        transforms.ToTensor(),
        transforms.Normalize([0.5] * 3, [0.5] * 3)
    ]),
}
transforms_224 = {
    'train': transforms.Compose([
        transforms.Resize((224, 224)),
        transforms.ToTensor(),
        transforms.Normalize([0.5]*3, [0.5]*3)
    ]),
    'val': transforms.Compose([
        transforms.Resize((224, 224)),
        transforms.ToTensor(),
        transforms.Normalize([0.5]*3, [0.5]*3)
    ]),
    'test': transforms.Compose([
        transforms.Resize((224, 224)),
        transforms.ToTensor(),
        transforms.Normalize([0.5] * 3, [0.5] * 3)
    ]),
}