Add initial swinv2 tiny / small weights
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83d7a11eec
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c5a8e929fb
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@ -172,11 +172,6 @@ def load_custom_pretrained(
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pretrained_cfg (dict): Default pretrained model cfg
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load_fn: An external stand alone fn that loads weights into provided model, otherwise a fn named
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'laod_pretrained' on the model will be called if it exists
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progress (bool, optional): whether or not to display a progress bar to stderr. Default: False
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check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention
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``filename-<sha256>.ext`` where ``<sha256>`` is the first eight or more
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digits of the SHA256 hash of the contents of the file. The hash is used to
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ensure unique names and to verify the contents of the file. Default: False
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"""
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pretrained_cfg = pretrained_cfg or getattr(model, 'pretrained_cfg', None) or {}
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load_from, pretrained_loc = _resolve_pretrained_source(pretrained_cfg)
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@ -46,7 +46,6 @@ def _cfg(url='', **kwargs):
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default_cfgs = {
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# patch models (my experiments)
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'swin_base_patch4_window12_384': _cfg(
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url='https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_base_patch4_window12_384_22kto1k.pth',
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input_size=(3, 384, 384), crop_pct=1.0),
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@ -64,17 +64,18 @@ def _cfg(url='', **kwargs):
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default_cfgs = {
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# patch models (my experiments)
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'swin_v2_cr_tiny_384': _cfg(
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url="", input_size=(3, 384, 384), crop_pct=1.0),
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'swin_v2_cr_tiny_224': _cfg(
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url="", input_size=(3, 224, 224), crop_pct=0.9),
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'swin_v2_cr_tiny_ns_224': _cfg(
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url="", input_size=(3, 224, 224), crop_pct=0.9),
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url="https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights-swinv2/swin_v2_cr_tiny_ns_224-ba8166c6.pth",
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input_size=(3, 224, 224), crop_pct=0.9),
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'swin_v2_cr_small_384': _cfg(
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url="", input_size=(3, 384, 384), crop_pct=1.0),
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'swin_v2_cr_small_224': _cfg(
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url="", input_size=(3, 224, 224), crop_pct=0.9),
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url="https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights-swinv2/swin_v2_cr_small_224-0813c165.pth",
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input_size=(3, 224, 224), crop_pct=0.9),
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'swin_v2_cr_base_384': _cfg(
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url="", input_size=(3, 384, 384), crop_pct=1.0),
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'swin_v2_cr_base_224': _cfg(
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