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class PyramidFeatures(nn.Module): def __init__(self, C2_size, C3_size, C4_size, C5_size, feature_size=256): super(PyramidFeatures, self).__init__() # upsample C5 to get P5 from the FPN paper self.P5_1 = nn.Conv2d(C5_size, feature_size, kernel_size=1, stride=1, padding=0) self.P5_upsampled =...