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A demo that implement image registration by matching SIFT descriptors and appling RANSAC and affine transformation.

Python 100.00%
affine-transformation image-registration ransac sift-descriptors

imageregistration's Introduction

Here is Comrade Panda 🐼 !

  • ✨ Knowledge: Machine Learning, Deep Learning, Image and Signal Analysis, Time Series Forecasting and Acting Cute
  • 💓 Enjoy: Solving problems skillfuly, Trying new things, Reading science fiction, Sleeping and Eating
  • 🎁 Goal: Work at home as an independent AI developer accompanied by fresh bamboo

Languages and Tools:

Python PyTorch Linux Git LaTeX

Learning:

Swift CUDA

imageregistration's People

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imageregistration's Issues

Runtime error

I tried to run this program using 5400*3600 image, but the results of the images were not displayed and no errors were reported. The operation interface is automatically closed.
Do you know the reason?
Thanks.

it stopped

After running, only one picture comes out, and then the program seems to enter an infinite loop

refrences?

is this based on an article?
would you please share the references you used for this?

配准相关问题

作者您好,我刚接触配准这块,我跑了您发布的代码,输出的应该是二维仿射变换矩阵把,可以由此得到33旋转矩阵和13平移矩阵吗?或者说要怎样才能得到呢,期待您的回复,谢谢。

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