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Computer vision tasks with Python and OpenCV.

License: GNU General Public License v3.0

Python 0.08% Jupyter Notebook 99.92%

computer_vision's Introduction

Computer_Vision

Notebook ・ 1234

  • Feature detection using Harris corner, SIFT, SURF
  • Feature matching using NNC(normalised cross-correlation), NNDR(nearest neighbor distance ratio)
  • Large scale Object Instance Recognition
  • Scale-space blob detection

Notebook ・ 12

  • Line detection and fitting using RANSAC and Hough transformatio
  • Panoramic Image Stiching

Notebook ・ 1234

  • Camera calibration
  • Stereo matching
  • 3D reconstruction
  • Structure from motion

Notebook ・ 1

  • Image classification with Neural Network
  • Face tracking with KLT tracker

Use an environment with the following opencv versions to avoid SIFT patent issue in later versions: pip install opencv-python==3.4.2.16 pip install opencv-contrib-python==3.4.2.16

computer_vision's People

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