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Add typing to dinov2 entrypt fns, use hf hub for mae & dinov2 weights

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Ross Wightman 2023-05-09 20:42:11 -07:00
parent c9db4709af
commit 627b6315ba
1 changed files with 11 additions and 7 deletions
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18
timm/models/vision_transformer.py
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@ -1121,21 +1121,25 @@ default_cfgs = generate_default_cfgs({
# DINOv2 pretrained - https://arxiv.org/abs/2304.07193 (no classifier head, for fine-tune/features only)
'vit_small_patch14_dinov2.lvd142m': _cfg(
url='https://dl.fbaipublicfiles.com/dinov2/dinov2_vits14/dinov2_vits14_pretrain.pth',
hf_hub_id='timm/',
license='cc-by-nc-4.0',
mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0,
input_size=(3, 518, 518), crop_pct=1.0),
'vit_base_patch14_dinov2.lvd142m': _cfg(
url='https://dl.fbaipublicfiles.com/dinov2/dinov2_vitb14/dinov2_vitb14_pretrain.pth',
hf_hub_id='timm/',
license='cc-by-nc-4.0',
mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0,
input_size=(3, 518, 518), crop_pct=1.0),
'vit_large_patch14_dinov2.lvd142m': _cfg(
url='https://dl.fbaipublicfiles.com/dinov2/dinov2_vitl14/dinov2_vitl14_pretrain.pth',
hf_hub_id='timm/',
license='cc-by-nc-4.0',
mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0,
input_size=(3, 518, 518), crop_pct=1.0),
'vit_giant_patch14_dinov2.lvd142m': _cfg(
url='https://dl.fbaipublicfiles.com/dinov2/dinov2_vitg14/dinov2_vitg14_pretrain.pth',
hf_hub_id='timm/',
license='cc-by-nc-4.0',
mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0,
input_size=(3, 518, 518), crop_pct=1.0),
@ -1416,17 +1420,17 @@ default_cfgs = generate_default_cfgs({
'vit_base_patch16_224.mae': _cfg(
url='https://dl.fbaipublicfiles.com/mae/pretrain/mae_pretrain_vit_base.pth',
#hf_hub_id='timm/',
hf_hub_id='timm/',
license='cc-by-nc-4.0',
mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0),
'vit_large_patch16_224.mae': _cfg(
url='https://dl.fbaipublicfiles.com/mae/pretrain/mae_pretrain_vit_large.pth',
# hf_hub_id='timm/',
hf_hub_id='timm/',
license='cc-by-nc-4.0',
mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0),
'vit_huge_patch14_224.mae': _cfg(
url='https://dl.fbaipublicfiles.com/mae/pretrain/mae_pretrain_vit_huge.pth',
# hf_hub_id='timm/',
hf_hub_id='timm/',
license='cc-by-nc-4.0',
mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0),
})
@ -1970,7 +1974,7 @@ def vit_huge_patch14_xp_224(pretrained=False, **kwargs) -> VisionTransformer:
@register_model
def vit_small_patch14_dinov2(pretrained=False, **kwargs):
def vit_small_patch14_dinov2(pretrained=False, **kwargs) -> VisionTransformer:
""" ViT-S/14 for DINOv2
"""
model_args = dict(
@ -1982,7 +1986,7 @@ def vit_small_patch14_dinov2(pretrained=False, **kwargs):
@register_model
def vit_base_patch14_dinov2(pretrained=False, **kwargs):
def vit_base_patch14_dinov2(pretrained=False, **kwargs) -> VisionTransformer:
""" ViT-B/14 for DINOv2
"""
model_args = dict(
@ -1994,7 +1998,7 @@ def vit_base_patch14_dinov2(pretrained=False, **kwargs):
@register_model
def vit_large_patch14_dinov2(pretrained=False, **kwargs):
def vit_large_patch14_dinov2(pretrained=False, **kwargs) -> VisionTransformer:
""" ViT-L/14 for DINOv2
"""
model_args = dict(
@ -2006,7 +2010,7 @@ def vit_large_patch14_dinov2(pretrained=False, **kwargs):
@register_model
def vit_giant_patch14_dinov2(pretrained=False, **kwargs):
def vit_giant_patch14_dinov2(pretrained=False, **kwargs) -> VisionTransformer:
""" ViT-G/14 for DINOv2
"""