SuperPoint
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Large difference in results between TF and pytorch
I have found when doing feature extraction on the same images that the tf version will all have a greater number of feature points than the pytorch version, the weights I use are sp_v6 and superpoint_v6_from_tf.pth respectively and when the input is a blank image, the tf result will be the points on the four corners of the image and the pytorch result will be empty.