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My code snippets for computer vision.

License: MIT License

Python 0.15% C++ 0.29% CMake 0.02% Cuda 0.04% HTML 99.38% C# 0.02% CSS 0.01% JavaScript 0.07% Swift 0.03%

cv-snippets's Introduction

cv-snippets

My code snippets for computer vision.

Some web applications are published here.

camera_calibration

Classes for mono / stereo camera calibration using checker board.

camera_distortion_simulator

Simulator of camera's intrinsic / distortion params.

coreml

Machine learning codes using coreML. To run playground codes, you have to download model files into *.playground/Resources/.

edsdk

Simple sample code to take a picture using Canon EDSDK.

https://kamino.hatenablog.com/entry/canon-edsdk

gamma_estimation

Estimate the gamma value of display from captured camera images.

geometry

  • Voronoi diagram / Delaunay diagram

graycode

Obtain projector-camera relationship using gray code pattern.

https://kamino.hatenablog.com/entry/opencv-graycode

optimization

Numerical optimization using Eigen / scipy.

optitrack

C++ sample to get traking informations from Optitrack (Motive API).

plotly

Visualization 3D data using plotly.py.

https://kamino.hatenablog.com/entry/python-3d-visualization

pointgray

C++ sample code to use a PointGray camera.

projector_calibration

Calibrate projector's intrinsic / extrinsic parameters using 2D-3D correspondence.

unity

  • OpenCVTranslate
    Script to reflect OpenCV extrinsic parameters to the object.
  • OpenCVCameraParams
    Script to reflect OpenCV intrinsic parameters to the camera.
  • native_plugin
    Sample of project for native plugin using CMake.

https://kamino.hatenablog.com/entry/unity-import-opencv-camera-params

web_*

Apps driven by OpenCV.js or WebGL.

ximea

Simple sample code to get image from ximea camera.

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