SuperPointPretrainedNetwork
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magicleap
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
I found that your pretrained model performs much better than other open models on our images. May I ask if you have use other training data except coco? Thanks!
Do you use the pixel shuffle in the superpoint model? if not, can you try to reinterpret the following sentence's meaning ? In sentence in the superpoint paper: Unfortunately, upsampling...
Is it somehow possible to convert/train the float descriptor to binary? My pipeline is fully optimized for HAMMING distance matching so it would be nice to have the binary descriptor...
seem like that the pretrained model privided is not rubust agsinst Rotation,Right？
sorry, I have a question about batchnorm layers. I didn't find norm layer in .py (demo_superpoint.py). like : ` # Shared Encoder. x = self.relu(self.conv1a(x)) x = self.relu(self.conv1b(x)) x =...
How do i train my custum superpint and superglue models? Any git repo or package? Instead of using already available dataset?
Hi I was trying to train on one of my dataset for a student research project. Can you please tell me if you applied NMS while homographic adaptation phase ....
I'm using the following code to estimate the keypoints and matches using onnx ``` import json import onnxruntime import numpy as np import cv2 path = "output/rgb.png" img = cv2.imread(path)...
How can I use the code to provide custom points for tracking in the whole video? Suppose I want only 4 points to be tracked in the whole video so...
Fix the inverted coordinate names for keypoints. Fixes https://github.com/magicleap/SuperPointPretrainedNetwork/issues/12
