Add some so150m vit w/ sbb recipe weights, and a ese_vovnet57b model …

…with RA4 recipe
huggingface · Jan 18, 2025 · 2a84d68 · 2a84d68
1 parent 9265d54
commit 2a84d68
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Showing 2 changed files with 24 additions and 3 deletions.
diff --git a/timm/models/vision_transformer.py b/timm/models/vision_transformer.py
@@ -2152,8 +2152,13 @@ def _cfg(url: str = '', **kwargs) -> Dict[str, Any]:
     'vit_base_patch16_reg4_gap_256.untrained': _cfg(
         input_size=(3, 256, 256)),
 
-    'vit_so150m_patch16_reg4_gap_256.untrained': _cfg(
-        input_size=(3, 256, 256)),
+    'vit_so150m_patch16_reg4_gap_384.sbb_e250_in12k_ft_in1k': _cfg(
+        hf_hub_id='timm/',
+        input_size=(3, 384, 384), crop_pct=1.0),
+    'vit_so150m_patch16_reg4_gap_256.sbb_e250_in12k': _cfg(
+        hf_hub_id='timm/',
+        num_classes=11821,
+        input_size=(3, 256, 256), crop_pct=0.95),
     'vit_so150m_patch16_reg4_map_256.untrained': _cfg(
         input_size=(3, 256, 256)),
 
@@ -3482,6 +3487,17 @@ def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> Visio
     return model
 
 
+@register_model
+def vit_so150m_patch16_reg4_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
+    model_args = dict(
+        patch_size=16, embed_dim=896, depth=18, num_heads=14, mlp_ratio=2.572,
+        class_token=False, reg_tokens=4, global_pool='avg', fc_norm=False,
+    )
+    model = _create_vision_transformer(
+        'vit_so150m_patch16_reg4_gap_384', pretrained=pretrained, **dict(model_args, **kwargs))
+    return model
+
+
 @register_model
 def vit_intern300m_patch14_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
     model_args = dict(

diff --git a/timm/models/vovnet.py b/timm/models/vovnet.py
@@ -419,7 +419,12 @@ def _cfg(url='', **kwargs):
     'ese_vovnet39b.ra_in1k': _cfg(
         hf_hub_id='timm/',
         test_input_size=(3, 288, 288), test_crop_pct=0.95),
-    'ese_vovnet57b.untrained': _cfg(url=''),
+    'ese_vovnet57b.ra4_e3600_r256_in1k': _cfg(
+        hf_hub_id='timm/',
+        mean=(0.5, 0.5, 0.5), std=(0.5, 0.5, 0.5),
+        crop_pct=0.95, input_size=(3, 256, 256), pool_size=(8, 8),
+        test_input_size=(3, 320, 320), test_crop_pct=1.0
+    ),
     'ese_vovnet99b.untrained': _cfg(url=''),
     'eca_vovnet39b.untrained': _cfg(url=''),
     'ese_vovnet39b_evos.untrained': _cfg(url=''),