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Just want to ask how do you prepare the input images?
# [mask, img] = torch.load("colab_demo/{}.pth".format(name))
Since "colab_demo" url is out of date, I prepare a single image and draw a mask, and read by PIL.Image.
However, it has err when run into this line: tvu.save_image(x0, os.path.join(self.args.image_folder, f'original_input.png'))
I am wondering what is correct shape of x0?
Or how do you prepare these .pth files? torch.hub.download_url_to_file('https://image-editing-test-12345.s3-us-west-2.amazonaws.com/colab_examples/lsun_church.pth', os.path.join(path, 'lsun_church.pth'))
It should be very easy to prepare them, I guess.
The text was updated successfully, but these errors were encountered:
Thanks for sharing the implementtion.
Just want to ask how do you prepare the input images?
# [mask, img] = torch.load("colab_demo/{}.pth".format(name))
Since "colab_demo" url is out of date, I prepare a single image and draw a mask, and read by PIL.Image.
However, it has err when run into this line: tvu.save_image(x0, os.path.join(self.args.image_folder, f'original_input.png'))
I am wondering what is correct shape of x0?
Or how do you prepare these .pth files?
torch.hub.download_url_to_file('https://image-editing-test-12345.s3-us-west-2.amazonaws.com/colab_examples/lsun_church.pth', os.path.join(path, 'lsun_church.pth'))
It should be very easy to prepare them, I guess.
The text was updated successfully, but these errors were encountered: