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Fix small bug in seresnet input size and eval transform handling of img size

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Ross Wightman 2019-04-13 10:06:43 -07:00
parent db1fe34d0c
commit 6e9697eb9c
2 changed files with 3 additions and 3 deletions
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4
data/transforms.py
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@ -183,11 +183,11 @@ def transforms_imagenet_eval(
if isinstance(img_size, tuple): if isinstance(img_size, tuple):
assert len(img_size) == 2 assert len(img_size) == 2
if img_size[0] == img_size[1]: if img_size[-1] == img_size[-2]:
# fall-back to older behaviour so Resize scales to shortest edge if target is square # fall-back to older behaviour so Resize scales to shortest edge if target is square
scale_size = int(math.floor(img_size[0] / crop_pct)) scale_size = int(math.floor(img_size[0] / crop_pct))
else: else:
scale_size = tuple([int(x[0] / crop_pct) for x in img_size]) scale_size = tuple([int(x / crop_pct) for x in img_size])
else: else:
scale_size = int(math.floor(img_size / crop_pct)) scale_size = int(math.floor(img_size / crop_pct))

2
models/senet.py
View File

@ -25,7 +25,7 @@ __all__ = ['SENet', 'senet154', 'seresnet50', 'seresnet101', 'seresnet152',
def _cfg(url=''): def _cfg(url=''):
return { return {
'url': url, 'num_classes': 1000, 'input_size': (3, 224, 244), 'pool_size': (7, 7), 'url': url, 'num_classes': 1000, 'input_size': (3, 224, 224), 'pool_size': (7, 7),
'crop_pct': 0.875, 'interpolation': 'bilinear', 'crop_pct': 0.875, 'interpolation': 'bilinear',
'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD, 'mean': IMAGENET_DEFAULT_MEAN, 'std': IMAGENET_DEFAULT_STD,
'first_conv': 'layer0.conv1', 'classifier': 'last_linear', 'first_conv': 'layer0.conv1', 'classifier': 'last_linear',