Hi,
I would like to use models.features.sift.SIFT instead of OPENCV_SIFTas a feature extractor but the superglue matcher doesn't work with this configuration. Even if the model is trained using the features from OPENCV_SIFT, shoudn't the two versions of sift compute the same features given the same parameters ? Here are the configurations i used :
features:
name: 'SIFT'
descriptor_dim: 128
parameters:
max_keypoints: 2048
nms_diameter: 9
rootsift: True
descriptor_dim: 128
With SIFT no matches are found.