Large difference in results between TF and pytorch

[lyxxxyl]

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.

[lyxxxyl]

When I do feature extraction on two images using the tf version, the shapes of keypoints, descriptors, scores are as follows

And the result of torch version is as follows

[lyxxxyl]

For images with many feature points, the difference is even greater

[rpautrat]

Hi, this is probably due to different confidence threshold to decide how many keypoints you are keeping. Please check that you are using the same thresholds.

Note that there was already a similar issue on the topic: #316