Add random tag order during training
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b080f33115
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@ -78,12 +78,13 @@ data:
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resize: false
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resize: false
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flip_p: 0.5
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flip_p: 0.5
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image_key: "image"
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image_key: "image"
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copyright_rate: 0.9
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copyright_rate: 1.0
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character_rate: 0.9
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character_rate: 1.0
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general_rate: 0.9
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general_rate: 1.0
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artist_rate: 0.9
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artist_rate: 1.0
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normalize: true
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normalize: true
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caption_shuffle: true
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caption_shuffle: true
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random_order: true
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lightning:
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lightning:
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modelcheckpoint:
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modelcheckpoint:
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@ -36,7 +36,7 @@ def resize_image(image: Image, max_size=(768,768)):
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return res
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return res
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class CaptionProcessor(object):
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class CaptionProcessor(object):
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def __init__(self, copyright_rate, character_rate, general_rate, artist_rate, normalize, caption_shuffle, transforms, max_size, resize):
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def __init__(self, copyright_rate, character_rate, general_rate, artist_rate, normalize, caption_shuffle, transforms, max_size, resize, random_order):
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self.copyright_rate = copyright_rate
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self.copyright_rate = copyright_rate
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self.character_rate = character_rate
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self.character_rate = character_rate
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self.general_rate = general_rate
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self.general_rate = general_rate
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@ -46,6 +46,7 @@ class CaptionProcessor(object):
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self.transforms = transforms
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self.transforms = transforms
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self.max_size = max_size
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self.max_size = max_size
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self.resize = resize
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self.resize = resize
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self.random_order = random_order
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def clean(self, text: str):
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def clean(self, text: str):
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text = ' '.join(set([i.lstrip('_').rstrip('_') for i in re.sub(r'\([^)]*\)', '', text).split(' ')])).lstrip().rstrip()
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text = ' '.join(set([i.lstrip('_').rstrip('_') for i in re.sub(r'\([^)]*\)', '', text).split(' ')])).lstrip().rstrip()
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@ -71,11 +72,19 @@ class CaptionProcessor(object):
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def __call__(self, sample):
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def __call__(self, sample):
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# preprocess caption
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# preprocess caption
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caption_data = json.loads(sample['caption'])
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caption_data = json.loads(sample['caption'])
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character = self.get_key(caption_data, 'tag_string_character', True, self.character_rate, False, True)
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if not self.random_order:
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copyright = self.get_key(caption_data, 'tag_string_copyright', True, self.copyright_rate, True, True)
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character = self.get_key(caption_data, 'tag_string_character', True, self.character_rate, False, True)
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artist = self.get_key(caption_data, 'tag_string_artist', True, self.artist_rate, True, True)
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copyright = self.get_key(caption_data, 'tag_string_copyright', True, self.copyright_rate, True, True)
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general = self.get_key(caption_data, 'tag_string_general', True, self.general_rate, True, False)
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artist = self.get_key(caption_data, 'tag_string_artist', True, self.artist_rate, True, True)
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sample['caption'] = f'{character}{copyright}{artist}{general}'.lstrip().rstrip(',')
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general = self.get_key(caption_data, 'tag_string_general', True, self.general_rate, True, False)
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tag_str = f'{character}{copyright}{artist}{general}'.lstrip().rstrip(',')
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else:
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character = self.get_key(caption_data, 'tag_string_character', False, self.character_rate, False)
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copyright = self.get_key(caption_data, 'tag_string_copyright', False, self.copyright_rate, True, False)
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artist = self.get_key(caption_data, 'tag_string_artist', False, self.artist_rate, True, False)
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general = self.get_key(caption_data, 'tag_string_general', False, self.general_rate, True, False)
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tag_str = self.clean(f'{character}{copyright}{artist}{general}').lstrip().rstrip(' ')
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sample['caption'] = tag_str
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# preprocess image
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# preprocess image
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image = sample['image']
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image = sample['image']
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@ -150,7 +159,7 @@ class DanbooruWebDataModuleFromConfig(pl.LightningDataModule):
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transform_dict = {}
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transform_dict = {}
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transform_dict.update({self.image_key: image_transforms})
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transform_dict.update({self.image_key: image_transforms})
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postprocess = CaptionProcessor(copyright_rate=self.copyright_rate, character_rate=self.character_rate, general_rate=self.general_rate, artist_rate=self.artist_rate, normalize=self.normalize, caption_shuffle=self.caption_shuffle, transforms=image_transforms, max_size=self.max_size, resize=self.resize)
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postprocess = CaptionProcessor(copyright_rate=self.copyright_rate, character_rate=self.character_rate, general_rate=self.general_rate, artist_rate=self.artist_rate, normalize=self.normalize, caption_shuffle=self.caption_shuffle, transforms=image_transforms, max_size=self.max_size, resize=self.resize, random_order=self.random_order)
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tars = os.path.join(self.tar_base)
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tars = os.path.join(self.tar_base)
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