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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45 lines
977 B
45 lines
977 B
ndarray-homography
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==================
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Applies a homography to an ndarray.
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# Example
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```javascript
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var imshow = require('ndarray-imshow')
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var baboon = require('baboon-image')
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var luminance = require('luminance')
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var applyHomography = require('ndarray-homography')
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var scratch = require('ndarray-scratch')
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var baboonGrey = luminance(
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scratch.zeros([baboon.shape[0], baboon.shape[1]]),
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baboon)
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imshow(applyHomography(
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scratch.zeros(baboonGrey.shape),
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baboonGrey,
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[1, 0, 0,
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0, 1, 0,
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0, 0, 1]
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))
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```
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# Install
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```
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npm install ndarray-homography
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```
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# API
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### `require('ndarray-homography')(dest, src, M)`
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Applies a [homography](http://en.wikipedia.org/Homography) to an ndarray.
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* `dest` is a destination image, which has the same size as the input image
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* `src` is the input image
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* `M` is a homography encoded as a flattened matrix in column major order (consistent with OpenGL's format)
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**Returns** `dest`
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# Credits
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(c) 2014 Mikola Lysenko. MIT License |