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您好，我正在把lightGlue模型移植到RK3588板端，目前使用rknnlite2的Python脚本在板端推理符合预期。但是使用c++代码推理同样的模型时，直接得到的输出结果与rknnlite2的Python脚本结果差异较大。
以下是我的详细操作：
1、从onnx转换成rknn模型后，输入输出维度如下所示：有四个输入，一个输出。
转换rknn模型时，设置了QUANTIZE_ON = …
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Hello, thanks for your work!
In the LightGlue paper, it is mentioned, 'we first train it to predict correspondences and only after train the confidence classifier. The latter thus does not impact the…
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Hi
I'm trying to try the LightGlue and SuperPoint with my own dataset, I have several questions:
1. is there any way to train both at the same time? or I need to train SuperPoint first get the finet…
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Hello,
I'm just opening this issue to see if someone can help me to increase the quality of my splat. I'm trying to generate a splat of a room. After several trials using datasets extracted from a …
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Hello,
I've been utilizing the default SuperPoint for feature extraction combined with LightGlue for keypoint matching in this repository, and the results have been quite satisfactory in my use cas…
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[https://github.com/fabio-sim/LightGlue-ONNX/releases/tag/v1.0.0](url)
Recently LightGlue-ONNX released there fused model which improve the performance substantially(~2x faster in my test) and change…
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HI!
Thank you very much for a wonderfull job you did! I've tried to run a reconstruction
python ./main.py --config superpoint+lightglue --images images --outs out --strategy sequential --overlap…
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As title, I am working with L2A time series
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Hello, first of all, thank you for your open source training, which is very important for many of us developers.
At present, I want to use my personal small dataset for fine-tuning under the origin…
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First of all, appreciate for sharing the training code of the light glue.
At this moment, I'm replicating the first round of training on homograph dataset, here is the loss of the lightglue:
![…