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Detects float/int input pixels, handles Infinities, unfolds structures.\r\n\r\n[![npm install pxls](https://nodei.co/npm/pxls.png?mini=true)](https://npmjs.org/package/pxls/)\r\n\r\n```js\r\nvar pxls = require('pxls')\r\nvar ndarray = require('ndarray')\r\n\r\npxls([[0,0,0], [1,1,1]]) // <uint8 0,0,0,255, 255,255,255,255>\r\npxls([0, 1], 1) // <uint8 0,0,0,255, 255,255,255,255>\r\npxls([0,0,0, 1,1,1], [2,1]) // <uint8 0,0,0,255, 255,255,255,255>\r\npxls(new Ndarray([0,1], [2,1]) // <uint8 0,0,0,255, 255,255,255,255>\r\npxls(new Ndarray([0,0,0,1,1,1], [2,1,3]) // <uint8 0,0,0,255, 255,255,255,255>\r\n```\r\n\r\n## `let pixels = pxls(arr, shape|step?)`\r\n\r\nTakes 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, ...]`.\r\n\r\n`arr` can be an Array of Arrays, TypedArray, Ndarray, ImageData or DOM container Image, Video, ImageBitmap, Canvas2D, Context2D, WebGLContext.\r\n\r\n1-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]`.\r\n\r\n`shape` can describe the shape of input array, eg. `[100,100,3]` or `[10,10]`.\r\n\r\n`step` optionally can define input number of channels in flat array, that is detected automatically for nested/ndarrays.\r\n\r\n\r\n## See also\r\n\r\n* [to-uint8](https://ghub.io/to-uint8) − convert input argument to uint8 array.\r\n* [ndarray-to-bitmap-rgba](https://github.com/Jam3/ndarray-bitmap-to-rgba) − convert ndarray to rgba bitmap ndarray.\r\n\r\n## License\r\n\r\n(c) 2018 Dmitry Yv. MIT License\r\n","readmeFilename":"readme.md"}