使用resnet50作为backbone时候提示形状不匹配

[wangwuwu]

x4 = self.squeeze_module(x4)：
RuntimeError: Given groups=1, weight of size [64, 3712, 3, 3], expected input[4, 1856, 128, 128] to have 3712 channels, but got 1856 channels instea

[ZhengPeng7]

Hi, sorry for that. There are indeed still some bugs in using ConvNets, I'll try to spare time to fix them. You can first try the vision transformer backbones.