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knazeri avatar knazeri commented on July 17, 2024

@jtetc Yes that's exactly how you can test it but, the pre-trained weights that we released are not good to reproduce entire right or left portion of the image. What we did for Figure 10 was to train the model on a half-region mask MASK: 2 only on G2 MODEL: 2 and then write an script to merge two image edge-maps before running the evaluation.

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dulibubai avatar dulibubai commented on July 17, 2024

Hi! As you mentioned in your paper ,I want to know what is the fixed mask dataset? Are they the 12000 test mask dataset made by Liu Guilin in PartConv?

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knazeri avatar knazeri commented on July 17, 2024

@dulibubai This is from our paper:

Regular masks are square masks of fixed size (25% of total image pixels) centered at a random location within the image

Basically, they are fixed size square masks that you can use by setting MASK: 3 in the configuration file.

PS. we randomly create fixed size masks during training and there's no need for an external mask dataset.

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