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yysijie avatar yysijie commented on July 30, 2024

Dear richliao,
Thanks for your interest in our work.
We normalized landmarks to [-0.5, 0.5] in training process.
And we used images of 224*224 for training model.
This operation is just for projecting normalized landmarks to absolute coordinate frame.

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richliao avatar richliao commented on July 30, 2024

Thanks for the explanation, Ziwei!

Can you further elaborate a bit how to convert from a vector (1 dimension) to x and y coordinates which are 2 dimension? Further, I don't see any input box, are you assuming the box is the full size of the image (224x224)? Thanks much.

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yysijie avatar yysijie commented on July 30, 2024

the meaning of a output vector is [x1, y1, x2, y2 ....]

Yes, and the matlab script would resize images to 224*224 before testing.

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liuziwei7 avatar liuziwei7 commented on July 30, 2024

@richliao Yes, the inputs to our Deep Fashion Alignment (DFA) are clothes bounding boxes. We treat this detection and cropping procedure as pre-processing and don't include it in this codebase. But you can definitely find bounding box annotations in the DeepFashion dataset.

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