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Hi everyone, i am curious about scaling in keypoint normalization. Is there any specific reason for choosing the scaling value in this way? I mean why to move it to [-0.7; 0.7] range and not [-1.0; 1.0] for example? https://github.com/magicleap/SuperGluePretrainedNetwork/blob/master/models/superglue.py#L71
scaling
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Hi everyone, i am curious about
scaling
in keypoint normalization. Is there any specific reason for choosing the scaling value in this way? I mean why to move it to [-0.7; 0.7] range and not [-1.0; 1.0] for example?https://github.com/magicleap/SuperGluePretrainedNetwork/blob/master/models/superglue.py#L71
The text was updated successfully, but these errors were encountered: