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Would it be possible to use lightglue in order to match keypoints obtained from LoFTR (or other semi-dense/dense matchers, not only sparse) ?
I know they already provided the matches and not only t…
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## Description
I converted a onnx model into a tensorrt engine, and i used c++ api on T600 GPU, but when i execute ` bool status=context_ -> ExecuteV2 (buffers. getDeviceBindings(). data());` …
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Hi! Thank you for making this available. DO you have any plans to create a TensorRT c++ inference example? Or, are you aware of one?
Thanks!
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Hello, thank you very much for your open source code. I am currently encountering a problem. When I train image registration at a large angle, the configuration file is as follows:
data:
name: …
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I tested lightglue and superglue using both CPU and GPU ，In both cases, superglue takes less time，but in paper,lightglue is faster。I want to know why there is such a contradiction，and my CPU：Intel(R) …
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A strange error occurred while running your main.cpp. The matches have a strange shape: (395, -8646884894171381957). I am running the superpoint.onnx and superpoint_lightglue.onnx models
![1719035924…
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Could you share superpoint__lightglue_end2end.onnx? Thanks a lot!
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Hello,
I was wondering if it would be possible if lightglue could be ran in batch mode, since I have to match a large amount of images the bottleneck right now is inference time.
Thank you for your …
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Hi,
Thank you and the matching results are very good. :)
Earlier i used **Sift** for feature extraction and **cv.detail_BestOf2NearestMatcher()** for matching. Then i use **cv.detail_HomographyB…
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Hi, first off thanks for your work and releasing it in such a "nicely packaged" format!
While I managed to resolve my issue (described below), I figured it would be useful to document it in case ot…