StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics https://doi.org/10.1109/TVCG.2020.3030352
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StackGenVis/frontend/node_modules/ndarray-homography
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README.md

ndarray-homography

Applies a homography to an ndarray.

Example

var imshow = require('ndarray-imshow')
var baboon = require('baboon-image')
var luminance = require('luminance')
var applyHomography = require('ndarray-homography')
var scratch = require('ndarray-scratch')

var baboonGrey = luminance(
  scratch.zeros([baboon.shape[0], baboon.shape[1]]),
  baboon)

imshow(applyHomography(
  scratch.zeros(baboonGrey.shape),
  baboonGrey,
  [1, 0, 0,
   0, 1, 0,
   0, 0, 1]
))

Install

npm install ndarray-homography

API

require('ndarray-homography')(dest, src, M)

Applies a homography to an ndarray.

  • dest is a destination image, which has the same size as the input image
  • src is the input image
  • M is a homography encoded as a flattened matrix in column major order (consistent with OpenGL's format)

Returns dest

Credits

(c) 2014 Mikola Lysenko. MIT License