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/README.md

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ndarray-homography
==================
Applies a homography to an ndarray.
# Example
```javascript
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](http://en.wikipedia.org/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