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cast cropping args to ints, fix bottleneck params #8

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Merged
merged 1 commit into from
Nov 1, 2016
Merged

cast cropping args to ints, fix bottleneck params #8

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4 changes: 2 additions & 2 deletions imagenet/resnet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -114,9 +114,9 @@ def _make_layer(self, block, planes, blocks, stride=1):

layers = []
layers.append(block(self.inplanes, planes, stride, downsample))
self.inplanes = planes * block.expansion
self.inplanes = planes * block.expansion
for i in range(1, blocks):
layers.append(block(planes, planes))
layers.append(block(self.inplanes, planes))

return nn.Sequential(*layers)

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8 changes: 4 additions & 4 deletions imagenet/transforms.py
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Expand Up @@ -57,8 +57,8 @@ def __init__(self, size):

def __call__(self, img):
w, h = img.size
x1 = round((w - self.size) / 2)
y1 = round((h - self.size) / 2)
x1 = int(round((w - self.size) / 2))
y1 = int(round((h - self.size) / 2))
return img.crop((x1, y1, x1 + self.size, y1 + self.size))


Expand Down Expand Up @@ -101,8 +101,8 @@ def __call__(self, img):
target_area = random.uniform(0.08, 1.0) * area
aspect_ratio = random.uniform(3 / 4, 4 / 3)

w = round(math.sqrt(target_area * aspect_ratio))
h = round(math.sqrt(target_area / aspect_ratio))
w = int(round(math.sqrt(target_area * aspect_ratio)))
h = int(round(math.sqrt(target_area / aspect_ratio)))

if random.random() < 0.5:
w, h = h, w
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