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Is fuse appropriate for doing visual odometry *inside* the framework? i.e. having fuse optimize the matched keypoints directly? Or is it expected that you will be doing the matching externally and ju…
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Hi authors,
Thank you for your repo, i want trainning your model with my custom dataset, i have some question?
1. What is ground truth of your model. i see your generate pair of keypoint using depth…
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Hi,
I am trying to load a set of images that are attached by a set of custom matches. These keypoints and thereby the matches between the images, are evaluated offline by some custom feature extrac…
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Is this dense matching or key point matching?
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The architecture of kp_detector defined in 'modules/keypoint_detector.py', and applied in 'GeneratorFullModel'. Loss function contains 'perceptual', 'generator_gan', 'feature_matching', 'equivariance_…
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Hello, I think it misses some files on this project. After running matching_pipeline.m (it misses pdist2.m to compute eculidean distance of descriptors, I used my own), I obtained some files in 'descr…
bfan updated
4 months ago
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Hi,
I am doing keypoint matching with 1280x720 images, with a GTX 1080 Ti ( 11.2 GiB of memory ) and found that LightGlue is slower than LoFTR, while it's supposed to be ~x4 faster according to the…
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Hello there,
previous issue : https://github.com/dicengine/dice/issues/192
Yesterday, I had a problem performing a calibration using pictures with a resolution of 4752 x 3168. I resized them to …
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Hai , Great Work
Can these models works fine for 360 images which are captured by insta 360 cameras - basically have some distortion in them with difference in angles and views ;
How well did matc…
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Hello. I'm trying to annotate my custom dataset (images only) on COCO format so I can use your script for training SuperGlue. My dataset consists RGB images and I want to extract keypoints from both v…