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edgarriba avatar edgarriba commented on September 25, 2024 1

if i understand correctly you are asking for a mask parameter that internally applies elementwise product to the input images ? If that's the case, i'm not quite sure we might go for it since it's a pre-step that the user can always apply.

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edgarriba avatar edgarriba commented on September 25, 2024 1

i don't the model architecture is designed for such scenario. Seems more like a research project to fine tune the network (which we don't provide the code) and input RGB+mask to learn more accurate attention maps

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edgarriba avatar edgarriba commented on September 25, 2024

Have you tried zeroing the image based on the mask (hadamard prod) ? /cc @ducha-aiki

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phamkhactu avatar phamkhactu commented on September 25, 2024

Have you tried zeroing the image based on the mask

Yes, I have. I run it successfully with order images.

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edgarriba avatar edgarriba commented on September 25, 2024

@phamkhactu does it mean that it solved your problem ?

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phamkhactu avatar phamkhactu commented on September 25, 2024

@phamkhactu does it mean that it solved your problem ?

yes, it does, it helps to reduce time for matching picture with picture. That is why I require feature.

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phamkhactu avatar phamkhactu commented on September 25, 2024

if i understand correctly you are asking for a mask parameter that internally applies elementwise product to the input images ? If that's the case, i'm not quite sure we might go for it since it's a pre-step that the user can always apply.

Yes, IF I can give mask, maybe algorithm not need calculate relative images. Some time, calculate not right. So can give it in function becomes better.

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phamkhactu avatar phamkhactu commented on September 25, 2024

i don't the model architecture is designed for such scenario. Seems more like a research project to fine tune the network (which we don't provide the code) and input RGB+mask to learn more accurate attention maps

Yeah,
Thank you for more your details information.

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