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Hi Samarth, thanks for sharing your code.
However, I met a problem when I run this code with ImageNet dataset. The VAE class in model.py hard code the sample shape of z as 1024*4*4, which is not in line with the image size 224*224 of Imagenet. So, I would like to know whether I should resize the image to 32*32 or I should modify the VAE architecture? Thanks.
The text was updated successfully, but these errors were encountered:
Hi Samarth, thanks for sharing your code. However, I met a problem when I run this code with ImageNet dataset. The VAE class in model.py hard code the sample shape of z as 102444, which is not in line with the image size 224224 of Imagenet. So, I would like to know whether I should resize the image to 3232 or I should modify the VAE architecture? Thanks.
Hi Samarth, thanks for sharing your code.
However, I met a problem when I run this code with ImageNet dataset. The VAE class in model.py hard code the sample shape of z as 1024*4*4, which is not in line with the image size 224*224 of Imagenet. So, I would like to know whether I should resize the image to 32*32 or I should modify the VAE architecture? Thanks.
The text was updated successfully, but these errors were encountered: