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ImageMatch ⚡️

Methods

Step1. 基于retinex理论增强低光图像便于匹配(非必需)

Step2. 基于LightGlue找到匹配特征点

Step3. 根据特征点得出单应性变换矩阵并变换图像

Use for single_image

python single_match.py

Use for images in the folder

python multi_match.py

Tips

在lightglue/superpoint.py设置了"remove_borders": 50以忽略图片周围时间文字,但不一定全适用
在lightglue/match.py设置了特征点匹配数少于20则放弃匹配

Installation and demo

git clone --quiet https://github.com/wajuda/Imagematch/

python -m pip install -e .

Examples

E.g 1

0a 0b 0c

E.g 2

0a (1)0_match0b

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msr + lightglue for image match

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  • Python 100.0%