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39 lines
1.8 KiB
39 lines
1.8 KiB
4 years ago
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# pxls [](http://github.com/badges/stability-badges) [](https://travis-ci.org/dy/pxls)
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Take in custom pixels container, return normalized 4-channel Uint8Array with pixels. Detects float/int input pixels, handles Infinities, unfolds structures.
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[](https://npmjs.org/package/pxls/)
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```js
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var pxls = require('pxls')
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var ndarray = require('ndarray')
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pxls([[0,0,0], [1,1,1]]) // <uint8 0,0,0,255, 255,255,255,255>
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pxls([0, 1], 1) // <uint8 0,0,0,255, 255,255,255,255>
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pxls([0,0,0, 1,1,1], [2,1]) // <uint8 0,0,0,255, 255,255,255,255>
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pxls(new Ndarray([0,1], [2,1]) // <uint8 0,0,0,255, 255,255,255,255>
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pxls(new Ndarray([0,0,0,1,1,1], [2,1,3]) // <uint8 0,0,0,255, 255,255,255,255>
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```
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## `let pixels = pxls(arr, shape|step?)`
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Takes input actual pixels container `arr` and returns 4 channels flat _Uint8Array_ `pixels` with layout `[r,g,b,a, r,g,b,a, r,g,b,a, ...]`.
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`arr` can be an Array of Arrays, TypedArray, Ndarray, ImageData or DOM container Image, Video, ImageBitmap, Canvas2D, Context2D, WebGLContext.
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1-channel input is mapped as grayscale `[v,v,v,255, v,v,v,255]`. 3-channel input fills last channel with `255` `[r,g,b,255, r,g,b,255]`.
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`shape` can describe the shape of input array, eg. `[100,100,3]` or `[10,10]`.
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`step` optionally can define input number of channels in flat array, that is detected automatically for nested/ndarrays.
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## See also
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* [to-uint8](https://ghub.io/to-uint8) − convert input argument to uint8 array.
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* [ndarray-to-bitmap-rgba](https://github.com/Jam3/ndarray-bitmap-to-rgba) − convert ndarray to rgba bitmap ndarray.
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## License
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(c) 2018 Dmitry Yv. MIT License
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