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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44 lines
1.2 KiB
44 lines
1.2 KiB
4 years ago
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normals
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=======
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Estimates normals for surface meshes.
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Installation
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============
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Using [npm](https://npmjs.org/):
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npm install normals
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Example
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=======
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Here is how to compute the vertex and face normals for the Stanford bunny:
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```js
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var bunny = require("bunny");
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bunny.vertexNormals = require("normals").vertexNormals(bunny.cells, bunny.positions[,epsilon]);
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bunny.faceNormals = require("normals").faceNormals(bunny.cells, bunny.positions[,epsilon]);
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```
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`require("normals").vertexNormals(cells, positions[,epsilon])`
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----------------------------------------------------
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This estimates the vertex normals for an oriented mesh.
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* `cells` is an array of indexed vertex positions
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* `positions` is an array of vertex positions
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Returns: An array of length = `positions.length` of the per-vertex normals.
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`require("normals").faceNormals(cells, positions[,epsilon])`
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----------------------------------------------------
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This estimates the face normals for an oriented mesh.
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* `cells` is an array of indexed vertex positions
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* `positions` is an array of vertex positions
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Returns: An array of length = `cells.length` of the per-face normals.
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Credits
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=======
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(c) 2013 Mikola Lysenko. BSD
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