Method__init__(self, degrees=15, translate=(0.3, 0.3), scale=(0.5, 2.),
shear=(45, 15), distortion=0
OCR/LISTER/dataset/img_transforms.py:284
Method__init__(self, brightness=0.5, contrast=0.5, saturation=0.5, hue=0.1, p=0.5)
OCR/LISTER/dataset/img_transforms.py:328
Method__init__(self, feat_dim, num_layers=1, focal_level=3, max_kh=1, layerscale_value=1e-6, drop_rate=0.0)
OCR/LISTER/model/nb_decoder.py:52
Method__init__(self, num_classes, feat_dim, max_ch=1000,
iters=0, nhead=8, window_size=11, num_sa_layers=2,
OCR/LISTER/model/nb_decoder.py:102
Method__init__(self, dim, focal_window, focal_level, max_kh, focal_factor=2, bias=True, proj_drop=0., use_postln_in_modulati
OCR/LISTER/model/feature_extractor.py:63
Method__init__(self, dim, mlp_ratio=4., drop=0., drop_path=0.,
act_layer=nn.GELU, norm_layer=nn.LayerNo
OCR/LISTER/model/feature_extractor.py:157
Method__init__(self, dim, out_dim, depth,
mlp_ratio=4., drop=0., drop_path=0., norm_layer=nn.LayerNorm,
OCR/LISTER/model/feature_extractor.py:242
Method__init__(self, max_kh=3, stride=2, in_chans=3, embed_dim=96, is_stem=False, norm_layer=None)
OCR/LISTER/model/feature_extractor.py:350
Method__init__(self,
in_chans=3,
embed_dim=96,
depths=[2, 2, 6, 2],
OCR/LISTER/model/feature_extractor.py:404
Method__init__(self, feat_dim, nhead, window_size, add_pos_bias:bool, drop=0.0, proj_drop=0.0, init_values=1e-6, mlm=False)
OCR/LISTER/model/la_utils.py:82
Method__init__(self, feat_dim, nhead, window_size, num_layers, drop_rate=0.0, proj_drop_rate=0.0, detach_grad=False, mlm=Fal
OCR/LISTER/model/la_utils.py:108
Method__init__(self, degrees=15, translate=(0.3, 0.3), scale=(0.5, 2.),
shear=(45, 15), distortion=0
OCR/LevOCR/transforms.py:282