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  1. .gitattributes +78 -0
  2. __pycache__/config.cpython-311.pyc +0 -0
  3. __pycache__/dataset.cpython-311.pyc +0 -0
  4. __pycache__/discriminator_model.cpython-311.pyc +0 -0
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  7. config.py +39 -0
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  11. data/train/1639101717_1-pornotaran-com-p-porno-sisi-nyu-v-odezhde-i-bez-1.jpg +0 -0
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  14. data/train/1641166994_12-titis-org-p-with-and-without-clothes-erotika-14.jpg +0 -0
  15. data/train/1641167013_56-titis-org-p-with-and-without-clothes-erotika-63.jpg +0 -0
  16. data/train/1641167023_15-titis-org-p-with-and-without-clothes-erotika-17.jpg +0 -0
  17. data/train/1641167035_24-titis-org-p-with-and-without-clothes-erotika-28.jpg +0 -0
  18. data/train/1F7700C.jpg +0 -0
  19. data/train/205638-what-lies-beneath.jpg +0 -0
  20. data/train/257288-onoff-wife-likes-group-sex.jpg +0 -0
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  27. data/train/425010.jpg +0 -0
  28. data/train/524684-on-off-gym-clothes-edition_880x660.jpg +0 -0
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  33. data/train/IMG_20230622_004242.jpg +3 -0
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config.py ADDED
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+ import torch
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+ import albumentations as A
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+ from albumentations.pytorch import ToTensorV2
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+
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+ DEVICE = "cpu"
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+ TRAIN_DIR = "data/train"
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+ VAL_DIR = "data/val"
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+ LEARNING_RATE = 2e-4
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+ BATCH_SIZE = 16
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+ NUM_WORKERS = 2
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+ IMAGE_SIZE = 256
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+ CHANNELS_IMG = 3
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+ L1_LAMBDA = 100
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+ LAMBDA_GP = 10
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+ NUM_EPOCHS = 1
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+ LOAD_MODEL = True
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+ SAVE_MODEL = False
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+ CHECKPOINT_DISC = "disc.pth.tar"
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+ CHECKPOINT_GEN = "gen.pth.tar"
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+
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+ both_transform = A.Compose(
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+ [A.Resize(width=256, height=256), ], additional_targets={"image0": "image"}, is_check_shapes=False
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+ )
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+
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+ transform_only_input = A.Compose(
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+ [
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+ A.HorizontalFlip(p=0.5),
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+ A.ColorJitter(p=0.2),
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+ A.Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5], max_pixel_value=255.0, ),
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+ ToTensorV2(),
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+ ]
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+ )
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+
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+ transform_only_mask = A.Compose(
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+ [
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+ A.Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5], max_pixel_value=255.0, ),
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+ ToTensorV2(),
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+ ]
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+ )
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