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ROS Quickstart Guide (#13553)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Francesco Mattioli 2024-06-19 01:54:19 +02:00 • committed by GitHub
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docs/en/yolov5/tutorials/architecture_description.md
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@ -60,7 +60,7 @@ class SPPF(nn.Module):
self.maxpool = nn.MaxPool2d(5, 1, padding=2)
def forward(self, x):
"""Applies sequential max pooling and concatenates results with input tensor; expects input tensor x of any shape."""
"""Applies sequential max pooling and concatenates results with input tensor."""
o1 = self.maxpool(x)
o2 = self.maxpool(o1)
o3 = self.maxpool(o2)