{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Mesh\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import numpy as np\nfrom itom import pointCloud\nfrom itom import algorithms\nfrom itom import dataObject\nfrom itom import polygonMesh\n\n\n[X, Y] = np.meshgrid(range(0, 2), range(0, 2))\nZ = np.array([[0, 0], [1, 1]])\n\ncloud = pointCloud.fromXYZ(\n    dataObject(X.astype(\"float32\")),\n    dataObject(Y.astype(\"float32\")),\n    dataObject(Z.astype(\"float32\")),\n)\nindices = np.array([[0, 1, 3, 2]])\n\nmesh = polygonMesh.fromCloudAndPolygons(cloud, indices)\nmeshOut = polygonMesh()\nalgorithms.pclMeshTriangulation(mesh, meshOut)"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.10"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}