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Add pretrained weight links to CSPNet for cspdarknet53, cspresnext50

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This commit is contained in:
Ross Wightman 2020-07-27 11:13:21 -07:00
parent 08016e839d
commit ec37008432
1 changed files with 8 additions and 4 deletions
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12
timm/models/csp.py
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@ -28,8 +28,8 @@ __all__ = ['CspNet'] # model_registry will add each entrypoint fn to this
def _cfg(url='', **kwargs):
return {
'url': url,
'num_classes': 1000, 'input_size': (3, 224, 224), 'pool_size': (7, 7),
'crop_pct': 0.875, 'interpolation': 'bilinear',
'num_classes': 1000, 'input_size': (3, 256, 256), 'pool_size': (7, 7),
'crop_pct': 0.887, 'interpolation': 'bilinear',
'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
'first_conv': 'stem.conv1.conv', 'classifier': 'head.fc',
**kwargs
@ -40,9 +40,13 @@ default_cfgs = {
'cspresnet50': _cfg(url=''),
'cspresnet50d': _cfg(url=''),
'cspresnet50w': _cfg(url=''),
'cspresnext50': _cfg(url=''),
'cspresnext50': _cfg(
url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/cspresnext50_ra_224-648b4713.pth',
input_size=(3, 224, 224), crop_pct=0.875 # FIXME I trained this at 224x224, not 256 like ref impl
),
'cspresnext50_iabn': _cfg(url=''),
'cspdarknet53': _cfg(url=''),
'cspdarknet53': _cfg(
url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/cspdarknet53_ra_256-d05c7c21.pth'),
'cspdarknet53_iabn': _cfg(url=''),
'darknet53': _cfg(url=''),
}