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Hi.
As you mentioned in the paper, you changed the input channels from 3 to 9. However, when I look into your code, in models.py line 53, I found that num_channels = 3 + 6 + 2. Does it mean input channel of 11? What does 3, 6 and 2 indicate?
Looking forward to your reply. Thanks.
The text was updated successfully, but these errors were encountered:
3 channels: This is the input image (group normalized).
6 channels: Some kind of approximate alpha matte computed from the distance to the foreground and background of the trimap. See Distance Transform #17 for more details.
2 channels: The foreground and background channels of the trimap.
Hi.
As you mentioned in the paper, you changed the input channels from 3 to 9. However, when I look into your code, in models.py line 53, I found that num_channels = 3 + 6 + 2. Does it mean input channel of 11? What does 3, 6 and 2 indicate?
Looking forward to your reply. Thanks.
The text was updated successfully, but these errors were encountered: