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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README.md
ndarray-warp
Inverse image warping operations for ndarrays.
Example
//Load input image
var lena = require("luminance")(require("lena"))
//Allocate storage for result
var result = require("zeros")([512, 512])
//Apply warp
require("ndarray-warp")(result, lena, function(out, inp) {
var dx = inp[0] - 256
var dy = inp[1] - 256
var r = Math.sqrt(dx * dx + dy * dy)
var theta = Math.atan2(dy, dx)
out[0] = 0.9 * r * Math.cos(theta + 0.01 * r) + 256
out[1] = 0.7 * r * Math.sin(theta + 0.01 * r) + 256
})
//Save the result to stdout
require("save-pixels")(result, "png").pipe(process.stdout)
Which produces the following image:

Install
npm install ndarray-warp
require("ndarray-warp")(output, input, map(out_coord, in_coord))
Applies an inverse warp to an image
-
output
is an ndarray image that gets the result of applying the warp -
input
is an ndarray iamge that is warped -
map(result, coord)
is a mapping from the coordinates of out image to input image.result
gets the resulting coordinate ininput
coord
is the coordinate inoutput
Credits
(c) 2013 Mikola Lysenko. MIT License