#### The matching problem between model parameters and model structure ¶

By: pluto_charon on Jan. 14, 2022, 8:56 a.m.

In the original paper ''HoverNet'', the authors mentioned that "Compared to standard Preact-ResNet50 implementation, we reduce the total down-sampling factor from 32 to 8 **by using stride of 1 in the first convolution** and removing the subsequent max-pooling operation."
Meantime, I see you have updated the codes "Hover-Net for CoNIC Challenge" and provided the pretrained model parametersâ€”â€” **Pytorch ImageNet ResNet50** in README.md. But the model parameters are trained in original ResNet 50 rather than the structure in above paper and the code in "**net_desc.py**" still use stride=1 (**Line 42**).
So I would like to ask whether it is necessary to change the stride to the original ResNet 50 model so as to match the parameters.

Thank you!