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shape_context_matching's Introduction

Hi there, I'm Ruoyu Chen 👋

Welcome! You are the visitor!

I’m Ruoyu Chen (陈若愚), a Ph.D. candidate in Institute of Information Engineering, Chinese Academy of Sciences. For more details you can visit my academic home page https://ruoyuchen10.github.io/.

  • 🔭 I’m currently working on Computer Vision and Machine Learning. Especially in Face Recognition, Explainable AI, Few-shot Object Detection.
  • 🌱 I’m interested in Interpretable Artificial Intelligence, Detection and Recognition etc. computer vision tasks.
  • 📫 How to reach me: [email protected] or [email protected].

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shape_context_matching's Issues

Rotation Invariant?

Your SCM implementation is very effient and good mostly but I think it miss the ROTATION invariance property. The rotation invariance and scale invariant is important properties in most application.

  1. Did you implemented Rotation-Invariance? if yes, which line is implemting it?
  2. if not, I recommend you take as the reference angles for the most crowded angle bins. What the orignal paper say about it?

有个bug

运行代码时 In[29] 中

tps_img = tps_trans(original_position, new_position, img1, tps_lambda = 0.2)
函数 tps_trans中
tps.estimateTransformation(p2, p1, matches)
报错
error: OpenCV(4.5.5) D:\a\opencv-python\opencv-python\opencv_contrib\modules\shape\src\tps_trans.cpp:203: error: (-215:Assertion failed) _matches.size()>1 in function 'cv::ThinPlateSplineShapeTransformerImpl::estimateTransformation'

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