Add pretrained weight links to CSPNet for cspdarknet53, cspresnext50

timm/models/csp.py

@@ -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),
+        'num_classes': 1000, 'input_size': (3, 256, 256), 'pool_size': (7, 7),
-        'crop_pct': 0.875, 'interpolation': 'bilinear',
+        '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=''),
 }