oldpan / faceswap-deepfake-pytorch Goto Github PK

How do I test with two images？

Good Job! Why not implement the same padding in ConvTranspose2d?

Your padding_same_conv.py is a brilliant implementation for pytorch users needing padding=same. It really helps me and I cannot express anything but gratitude for your wonderful work.

However, I think there might be some mistakes in your implementation, especially in your conv2d_same_padding function.
You only calculate the number of elements padded for the col of the input, and just copy it to the row, which might be wrong when stride[0] != stride [1] and dilation[0] != dilation[1].
And the type of your initial value of stride and dilation might be list according to your following code but not the int you set.

could you offer the inference?thanks

such as "torch.nn.MaxPool2d(kernel_size=2, stride=(2,1), padding=(0,1))"

Hello, this link is invalid.
https://space.oldpan.me/f/cccac1136338407797cb/?dl=1

I try to predict but the result are far way from reasonable... Might me did something wrong with preprocess?

Hello author, I want to know how to test/pred it with two face pic ? I mean , writer a test.py file to run.
I writer this file to load model to test, but it doesn't work.(Don't Change the Face).

作者你好，我想问下，你这个测试文件该怎么写啊？就是写一个test.py文件，加载模型，输入两张人脸图像进行换脸。我自己写了一个，但是没有换脸成功，就好像模型没有加载成功似的。请问你能不能写一个这个文件呢？