Add initial swinv2 tiny / small weights

Author: rwightman

timm/models/helpers.py

@@ -172,11 +172,6 @@ def load_custom_pretrained(
         pretrained_cfg (dict): Default pretrained model cfg
         load_fn: An external stand alone fn that loads weights into provided model, otherwise a fn named
             'laod_pretrained' on the model will be called if it exists
-        progress (bool, optional): whether or not to display a progress bar to stderr. Default: False
-        check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention
-            ``filename-<sha256>.ext`` where ``<sha256>`` is the first eight or more
-            digits of the SHA256 hash of the contents of the file. The hash is used to
-            ensure unique names and to verify the contents of the file. Default: False
     """
     pretrained_cfg = pretrained_cfg or getattr(model, 'pretrained_cfg', None) or {}
     load_from, pretrained_loc = _resolve_pretrained_source(pretrained_cfg)

timm/models/swin_transformer.py

@@ -46,7 +46,6 @@ def _cfg(url='', **kwargs):
 
 
 default_cfgs = {
-    # patch models (my experiments)
     'swin_base_patch4_window12_384': _cfg(
         url='https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_base_patch4_window12_384_22kto1k.pth',
         input_size=(3, 384, 384), crop_pct=1.0),

timm/models/swin_transformer_v2_cr.py

@@ -64,17 +64,18 @@ def _cfg(url='', **kwargs):
 
 
 default_cfgs = {
-    # patch models (my experiments)
     'swin_v2_cr_tiny_384': _cfg(
         url="", input_size=(3, 384, 384), crop_pct=1.0),
     'swin_v2_cr_tiny_224': _cfg(
         url="", input_size=(3, 224, 224), crop_pct=0.9),
     'swin_v2_cr_tiny_ns_224': _cfg(
-        url="", input_size=(3, 224, 224), crop_pct=0.9),
+        url="https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights-swinv2/swin_v2_cr_tiny_ns_224-ba8166c6.pth",
+        input_size=(3, 224, 224), crop_pct=0.9),
     'swin_v2_cr_small_384': _cfg(
         url="", input_size=(3, 384, 384), crop_pct=1.0),
     'swin_v2_cr_small_224': _cfg(
-        url="", input_size=(3, 224, 224), crop_pct=0.9),
+        url="https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights-swinv2/swin_v2_cr_small_224-0813c165.pth",
+        input_size=(3, 224, 224), crop_pct=0.9),
     'swin_v2_cr_base_384': _cfg(
         url="", input_size=(3, 384, 384), crop_pct=1.0),
     'swin_v2_cr_base_224': _cfg(