point2color.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "point2color.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyPk1aXQG6rmdYDdGig7maHO",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/shnhrtkyk/point2color/blob/main/point2color.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pn1xoIt6JHut"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "75hO4wI-JncJ",
        "outputId": "242ddada-83ec-4892-9f11-a3254ee025e4"
      },
      "source": [
        "import os\n",
        "import sys\n",
        "import torch\n",
        "need_pytorch3d=False\n",
        "try:\n",
        "    import pytorch3d\n",
        "except ModuleNotFoundError:\n",
        "    need_pytorch3d=True\n",
        "if need_pytorch3d:\n",
        "    if torch.__version__.startswith(\"1.9\") and sys.platform.startswith(\"linux\"):\n",
        "        # We try to install PyTorch3D via a released wheel.\n",
        "        version_str=\"\".join([\n",
        "            f\"py3{sys.version_info.minor}_cu\",\n",
        "            torch.version.cuda.replace(\".\",\"\"),\n",
        "            f\"_pyt{torch.__version__[0:5:2]}\"\n",
        "        ])\n",
        "        !pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
        "    else:\n",
        "        # We try to install PyTorch3D from source.\n",
        "        !curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz\n",
        "        !tar xzf 1.10.0.tar.gz\n",
        "        os.environ[\"CUB_HOME\"] = os.getcwd() + \"/cub-1.10.0\"\n",
        "        !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in links: https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/py37_cu111_pyt190/download.html\n",
            "Collecting pytorch3d\n",
            "  Downloading https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/py37_cu111_pyt190/pytorch3d-0.6.0-cp37-cp37m-linux_x86_64.whl (44.1 MB)\n",
            "\u001b[K     |████████████████████████████████| 44.1 MB 28 kB/s \n",
            "\u001b[?25hCollecting fvcore\n",
            "  Downloading fvcore-0.1.5.post20211023.tar.gz (49 kB)\n",
            "\u001b[K     |████████████████████████████████| 49 kB 3.8 MB/s \n",
            "\u001b[?25hCollecting iopath\n",
            "  Downloading iopath-0.1.9-py3-none-any.whl (27 kB)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from fvcore->pytorch3d) (1.19.5)\n",
            "Collecting yacs>=0.1.6\n",
            "  Downloading yacs-0.1.8-py3-none-any.whl (14 kB)\n",
            "Collecting pyyaml>=5.1\n",
            "  Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB)\n",
            "\u001b[K     |████████████████████████████████| 596 kB 58.3 MB/s \n",
            "\u001b[?25hRequirement already satisfied: tqdm in /usr/local/lib/python3.7/dist-packages (from fvcore->pytorch3d) (4.62.3)\n",
            "Requirement already satisfied: termcolor>=1.1 in /usr/local/lib/python3.7/dist-packages (from fvcore->pytorch3d) (1.1.0)\n",
            "Requirement already satisfied: Pillow in /usr/local/lib/python3.7/dist-packages (from fvcore->pytorch3d) (7.1.2)\n",
            "Requirement already satisfied: tabulate in /usr/local/lib/python3.7/dist-packages (from fvcore->pytorch3d) (0.8.9)\n",
            "Collecting portalocker\n",
            "  Downloading portalocker-2.3.2-py2.py3-none-any.whl (15 kB)\n",
            "Building wheels for collected packages: fvcore\n",
            "  Building wheel for fvcore (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for fvcore: filename=fvcore-0.1.5.post20211023-py3-none-any.whl size=60947 sha256=912c6c9a05d38cbe219e2832cca31dfafd2ac7e418aafdb3ba9a9320e7303771\n",
            "  Stored in directory: /root/.cache/pip/wheels/16/98/fc/252d62cab6263c719120e06b28f3378af59b52ce7a20e81852\n",
            "Successfully built fvcore\n",
            "Installing collected packages: pyyaml, portalocker, yacs, iopath, fvcore, pytorch3d\n",
            "  Attempting uninstall: pyyaml\n",
            "    Found existing installation: PyYAML 3.13\n",
            "    Uninstalling PyYAML-3.13:\n",
            "      Successfully uninstalled PyYAML-3.13\n",
            "Successfully installed fvcore-0.1.5.post20211023 iopath-0.1.9 portalocker-2.3.2 pytorch3d-0.6.0 pyyaml-6.0 yacs-0.1.8\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CTtrGdvbK2oz",
        "outputId": "f5fd1624-9683-4b87-81b9-9a73add04bbe"
      },
      "source": [
        "!pip install laspy==1.7.0\n",
        "!pip install open3d==0.8.0.0\n",
        "!pip install torch-scatter torch-sparse torch-cluster torch-spline-conv torch-geometric -f https://data.pyg.org/whl/torch-1.9.0+cu111.html"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: laspy==1.7.0 in /usr/local/lib/python3.7/dist-packages (1.7.0)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from laspy==1.7.0) (1.19.5)\n",
            "Requirement already satisfied: open3d==0.8.0.0 in /usr/local/lib/python3.7/dist-packages (0.8.0.0)\n",
            "Requirement already satisfied: notebook in /usr/local/lib/python3.7/dist-packages (from open3d==0.8.0.0) (5.3.1)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from open3d==0.8.0.0) (1.19.5)\n",
            "Requirement already satisfied: widgetsnbextension in /usr/local/lib/python3.7/dist-packages (from open3d==0.8.0.0) (3.5.1)\n",
            "Requirement already satisfied: ipywidgets in /usr/local/lib/python3.7/dist-packages (from open3d==0.8.0.0) (7.6.5)\n",
            "Requirement already satisfied: nbformat>=4.2.0 in /usr/local/lib/python3.7/dist-packages (from ipywidgets->open3d==0.8.0.0) (5.1.3)\n",
            "Requirement already satisfied: traitlets>=4.3.1 in /usr/local/lib/python3.7/dist-packages (from ipywidgets->open3d==0.8.0.0) (5.1.0)\n",
            "Requirement already satisfied: ipykernel>=4.5.1 in /usr/local/lib/python3.7/dist-packages (from ipywidgets->open3d==0.8.0.0) (4.10.1)\n",
            "Requirement already satisfied: jupyterlab-widgets>=1.0.0 in /usr/local/lib/python3.7/dist-packages (from ipywidgets->open3d==0.8.0.0) (1.0.2)\n",
            "Requirement already satisfied: ipython>=4.0.0 in /usr/local/lib/python3.7/dist-packages (from ipywidgets->open3d==0.8.0.0) (5.5.0)\n",
            "Requirement already satisfied: ipython-genutils~=0.2.0 in /usr/local/lib/python3.7/dist-packages (from ipywidgets->open3d==0.8.0.0) (0.2.0)\n",
            "Requirement already satisfied: jupyter-client in /usr/local/lib/python3.7/dist-packages (from ipykernel>=4.5.1->ipywidgets->open3d==0.8.0.0) (5.3.5)\n",
            "Requirement already satisfied: tornado>=4.0 in /usr/local/lib/python3.7/dist-packages (from ipykernel>=4.5.1->ipywidgets->open3d==0.8.0.0) (5.1.1)\n",
            "Requirement already satisfied: simplegeneric>0.8 in /usr/local/lib/python3.7/dist-packages (from ipython>=4.0.0->ipywidgets->open3d==0.8.0.0) (0.8.1)\n",
            "Requirement already satisfied: setuptools>=18.5 in /usr/local/lib/python3.7/dist-packages (from ipython>=4.0.0->ipywidgets->open3d==0.8.0.0) (57.4.0)\n",
            "Requirement already satisfied: pexpect in /usr/local/lib/python3.7/dist-packages (from ipython>=4.0.0->ipywidgets->open3d==0.8.0.0) (4.8.0)\n",
            "Requirement already satisfied: pygments in /usr/local/lib/python3.7/dist-packages (from ipython>=4.0.0->ipywidgets->open3d==0.8.0.0) (2.6.1)\n",
            "Requirement already satisfied: pickleshare in /usr/local/lib/python3.7/dist-packages (from ipython>=4.0.0->ipywidgets->open3d==0.8.0.0) (0.7.5)\n",
            "Requirement already satisfied: prompt-toolkit<2.0.0,>=1.0.4 in /usr/local/lib/python3.7/dist-packages (from ipython>=4.0.0->ipywidgets->open3d==0.8.0.0) (1.0.18)\n",
            "Requirement already satisfied: decorator in /usr/local/lib/python3.7/dist-packages (from ipython>=4.0.0->ipywidgets->open3d==0.8.0.0) (4.4.2)\n",
            "Requirement already satisfied: jupyter-core in /usr/local/lib/python3.7/dist-packages (from nbformat>=4.2.0->ipywidgets->open3d==0.8.0.0) (4.8.1)\n",
            "Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in /usr/local/lib/python3.7/dist-packages (from nbformat>=4.2.0->ipywidgets->open3d==0.8.0.0) (2.6.0)\n",
            "Requirement already satisfied: wcwidth in /usr/local/lib/python3.7/dist-packages (from prompt-toolkit<2.0.0,>=1.0.4->ipython>=4.0.0->ipywidgets->open3d==0.8.0.0) (0.2.5)\n",
            "Requirement already satisfied: six>=1.9.0 in /usr/local/lib/python3.7/dist-packages (from prompt-toolkit<2.0.0,>=1.0.4->ipython>=4.0.0->ipywidgets->open3d==0.8.0.0) (1.15.0)\n",
            "Requirement already satisfied: terminado>=0.8.1 in /usr/local/lib/python3.7/dist-packages (from notebook->open3d==0.8.0.0) (0.12.1)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.7/dist-packages (from notebook->open3d==0.8.0.0) (2.11.3)\n",
            "Requirement already satisfied: Send2Trash in /usr/local/lib/python3.7/dist-packages (from notebook->open3d==0.8.0.0) (1.8.0)\n",
            "Requirement already satisfied: nbconvert in /usr/local/lib/python3.7/dist-packages (from notebook->open3d==0.8.0.0) (5.6.1)\n",
            "Requirement already satisfied: pyzmq>=13 in /usr/local/lib/python3.7/dist-packages (from jupyter-client->ipykernel>=4.5.1->ipywidgets->open3d==0.8.0.0) (22.3.0)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from jupyter-client->ipykernel>=4.5.1->ipywidgets->open3d==0.8.0.0) (2.8.2)\n",
            "Requirement already satisfied: ptyprocess in /usr/local/lib/python3.7/dist-packages (from terminado>=0.8.1->notebook->open3d==0.8.0.0) (0.7.0)\n",
            "Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.7/dist-packages (from jinja2->notebook->open3d==0.8.0.0) (2.0.1)\n",
            "Requirement already satisfied: entrypoints>=0.2.2 in /usr/local/lib/python3.7/dist-packages (from nbconvert->notebook->open3d==0.8.0.0) (0.3)\n",
            "Requirement already satisfied: bleach in /usr/local/lib/python3.7/dist-packages (from nbconvert->notebook->open3d==0.8.0.0) (4.1.0)\n",
            "Requirement already satisfied: pandocfilters>=1.4.1 in /usr/local/lib/python3.7/dist-packages (from nbconvert->notebook->open3d==0.8.0.0) (1.5.0)\n",
            "Requirement already satisfied: defusedxml in /usr/local/lib/python3.7/dist-packages (from nbconvert->notebook->open3d==0.8.0.0) (0.7.1)\n",
            "Requirement already satisfied: testpath in /usr/local/lib/python3.7/dist-packages (from nbconvert->notebook->open3d==0.8.0.0) (0.5.0)\n",
            "Requirement already satisfied: mistune<2,>=0.8.1 in /usr/local/lib/python3.7/dist-packages (from nbconvert->notebook->open3d==0.8.0.0) (0.8.4)\n",
            "Requirement already satisfied: webencodings in /usr/local/lib/python3.7/dist-packages (from bleach->nbconvert->notebook->open3d==0.8.0.0) (0.5.1)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.7/dist-packages (from bleach->nbconvert->notebook->open3d==0.8.0.0) (21.0)\n",
            "Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from packaging->bleach->nbconvert->notebook->open3d==0.8.0.0) (2.4.7)\n",
            "Looking in links: https://data.pyg.org/whl/torch-1.9.0+cu111.html\n",
            "Collecting torch-scatter\n",
            "  Downloading https://data.pyg.org/whl/torch-1.9.0%2Bcu111/torch_scatter-2.0.9-cp37-cp37m-linux_x86_64.whl (10.4 MB)\n",
            "\u001b[K     |████████████████████████████████| 10.4 MB 7.4 MB/s \n",
            "\u001b[?25hCollecting torch-sparse\n",
            "  Downloading https://data.pyg.org/whl/torch-1.9.0%2Bcu111/torch_sparse-0.6.12-cp37-cp37m-linux_x86_64.whl (3.7 MB)\n",
            "\u001b[K     |████████████████████████████████| 3.7 MB 52.3 MB/s \n",
            "\u001b[?25hCollecting torch-cluster\n",
            "  Downloading https://data.pyg.org/whl/torch-1.9.0%2Bcu111/torch_cluster-1.5.9-cp37-cp37m-linux_x86_64.whl (1.6 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.6 MB 45.8 MB/s \n",
            "\u001b[?25hCollecting torch-spline-conv\n",
            "  Downloading https://data.pyg.org/whl/torch-1.9.0%2Bcu111/torch_spline_conv-1.2.1-cp37-cp37m-linux_x86_64.whl (870 kB)\n",
            "\u001b[K     |████████████████████████████████| 870 kB 44.0 MB/s \n",
            "\u001b[?25hCollecting torch-geometric\n",
            "  Downloading torch_geometric-2.0.2.tar.gz (325 kB)\n",
            "\u001b[K     |████████████████████████████████| 325 kB 13.2 MB/s \n",
            "\u001b[?25hRequirement already satisfied: scipy in /usr/local/lib/python3.7/dist-packages (from torch-sparse) (1.4.1)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from torch-geometric) (1.19.5)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.7/dist-packages (from torch-geometric) (4.62.3)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.7/dist-packages (from torch-geometric) (2.6.3)\n",
            "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.7/dist-packages (from torch-geometric) (0.22.2.post1)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from torch-geometric) (2.23.0)\n",
            "Requirement already satisfied: pandas in /usr/local/lib/python3.7/dist-packages (from torch-geometric) (1.1.5)\n",
            "Collecting rdflib\n",
            "  Downloading rdflib-6.0.2-py3-none-any.whl (407 kB)\n",
            "\u001b[K     |████████████████████████████████| 407 kB 76.0 MB/s \n",
            "\u001b[?25hRequirement already satisfied: googledrivedownloader in /usr/local/lib/python3.7/dist-packages (from torch-geometric) (0.4)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.7/dist-packages (from torch-geometric) (2.11.3)\n",
            "Requirement already satisfied: pyparsing in /usr/local/lib/python3.7/dist-packages (from torch-geometric) (2.4.7)\n",
            "Requirement already satisfied: yacs in /usr/local/lib/python3.7/dist-packages (from torch-geometric) (0.1.8)\n",
            "Requirement already satisfied: PyYAML in /usr/local/lib/python3.7/dist-packages (from torch-geometric) (6.0)\n",
            "Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.7/dist-packages (from jinja2->torch-geometric) (2.0.1)\n",
            "Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas->torch-geometric) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.7/dist-packages (from pandas->torch-geometric) (2018.9)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas->torch-geometric) (1.15.0)\n",
            "Collecting isodate\n",
            "  Downloading isodate-0.6.0-py2.py3-none-any.whl (45 kB)\n",
            "\u001b[K     |████████████████████████████████| 45 kB 2.7 MB/s \n",
            "\u001b[?25hRequirement already satisfied: setuptools in /usr/local/lib/python3.7/dist-packages (from rdflib->torch-geometric) (57.4.0)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->torch-geometric) (2.10)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->torch-geometric) (2021.5.30)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->torch-geometric) (1.24.3)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->torch-geometric) (3.0.4)\n",
            "Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.7/dist-packages (from scikit-learn->torch-geometric) (1.0.1)\n",
            "Building wheels for collected packages: torch-geometric\n",
            "  Building wheel for torch-geometric (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for torch-geometric: filename=torch_geometric-2.0.2-py3-none-any.whl size=535570 sha256=a84d919424a838b2869e3bf732f1a6282732cb0b2afd02649b7ecb2add978285\n",
            "  Stored in directory: /root/.cache/pip/wheels/3f/08/13/2321517088bb2e95bfd0e45033bb9c923189e5b2078e0be4ef\n",
            "Successfully built torch-geometric\n",
            "Installing collected packages: isodate, rdflib, torch-spline-conv, torch-sparse, torch-scatter, torch-geometric, torch-cluster\n",
            "Successfully installed isodate-0.6.0 rdflib-6.0.2 torch-cluster-1.5.9 torch-geometric-2.0.2 torch-scatter-2.0.9 torch-sparse-0.6.12 torch-spline-conv-1.2.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LMeCzjeALRFE",
        "outputId": "e1467930-6280-4fed-c706-5c05ee4675a4"
      },
      "source": [
        "import torch\n",
        "print(torch.__version__)\n",
        "print(torch.version.cuda)"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1.9.0+cu111\n",
            "11.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "81TsmTVDL0H6",
        "outputId": "50d3a3e0-5587-4e2f-c5bf-31bd185df0bf"
      },
      "source": [
        "!pip list"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Package                       Version\n",
            "----------------------------- ------------------\n",
            "absl-py                       0.12.0\n",
            "alabaster                     0.7.12\n",
            "albumentations                0.1.12\n",
            "altair                        4.1.0\n",
            "appdirs                       1.4.4\n",
            "argcomplete                   1.12.3\n",
            "argon2-cffi                   21.1.0\n",
            "arviz                         0.11.4\n",
            "astor                         0.8.1\n",
            "astropy                       4.3.1\n",
            "astunparse                    1.6.3\n",
            "atari-py                      0.2.9\n",
            "atomicwrites                  1.4.0\n",
            "attrs                         21.2.0\n",
            "audioread                     2.1.9\n",
            "autograd                      1.3\n",
            "Babel                         2.9.1\n",
            "backcall                      0.2.0\n",
            "beautifulsoup4                4.6.3\n",
            "bleach                        4.1.0\n",
            "blis                          0.4.1\n",
            "bokeh                         2.3.3\n",
            "Bottleneck                    1.3.2\n",
            "branca                        0.4.2\n",
            "bs4                           0.0.1\n",
            "CacheControl                  0.12.6\n",
            "cached-property               1.5.2\n",
            "cachetools                    4.2.4\n",
            "catalogue                     1.0.0\n",
            "certifi                       2021.5.30\n",
            "cffi                          1.14.6\n",
            "cftime                        1.5.1\n",
            "chardet                       3.0.4\n",
            "charset-normalizer            2.0.7\n",
            "clang                         5.0\n",
            "click                         7.1.2\n",
            "cloudpickle                   1.3.0\n",
            "cmake                         3.12.0\n",
            "cmdstanpy                     0.9.5\n",
            "colorcet                      2.0.6\n",
            "colorlover                    0.3.0\n",
            "community                     1.0.0b1\n",
            "contextlib2                   0.5.5\n",
            "convertdate                   2.3.2\n",
            "coverage                      3.7.1\n",
            "coveralls                     0.5\n",
            "crcmod                        1.7\n",
            "cufflinks                     0.17.3\n",
            "cvxopt                        1.2.7\n",
            "cvxpy                         1.0.31\n",
            "cycler                        0.10.0\n",
            "cymem                         2.0.5\n",
            "Cython                        0.29.24\n",
            "daft                          0.0.4\n",
            "dask                          2.12.0\n",
            "datascience                   0.10.6\n",
            "debugpy                       1.0.0\n",
            "decorator                     4.4.2\n",
            "defusedxml                    0.7.1\n",
            "descartes                     1.1.0\n",
            "dill                          0.3.4\n",
            "distributed                   1.25.3\n",
            "dlib                          19.18.0\n",
            "dm-tree                       0.1.6\n",
            "docopt                        0.6.2\n",
            "docutils                      0.17.1\n",
            "dopamine-rl                   1.0.5\n",
            "earthengine-api               0.1.284\n",
            "easydict                      1.9\n",
            "ecos                          2.0.7.post1\n",
            "editdistance                  0.5.3\n",
            "en-core-web-sm                2.2.5\n",
            "entrypoints                   0.3\n",
            "ephem                         4.1\n",
            "et-xmlfile                    1.1.0\n",
            "fa2                           0.3.5\n",
            "fastai                        1.0.61\n",
            "fastdtw                       0.3.4\n",
            "fastprogress                  1.0.0\n",
            "fastrlock                     0.6\n",
            "fbprophet                     0.7.1\n",
            "feather-format                0.4.1\n",
            "filelock                      3.3.0\n",
            "firebase-admin                4.4.0\n",
            "fix-yahoo-finance             0.0.22\n",
            "Flask                         1.1.4\n",
            "flatbuffers                   1.12\n",
            "folium                        0.8.3\n",
            "future                        0.16.0\n",
            "fvcore                        0.1.5.post20211023\n",
            "gast                          0.4.0\n",
            "GDAL                          2.2.2\n",
            "gdown                         3.6.4\n",
            "gensim                        3.6.0\n",
            "geographiclib                 1.52\n",
            "geopy                         1.17.0\n",
            "gin-config                    0.4.0\n",
            "glob2                         0.7\n",
            "google                        2.0.3\n",
            "google-api-core               1.26.3\n",
            "google-api-python-client      1.12.8\n",
            "google-auth                   1.35.0\n",
            "google-auth-httplib2          0.0.4\n",
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            "google-cloud-bigquery         1.21.0\n",
            "google-cloud-bigquery-storage 1.1.0\n",
            "google-cloud-core             1.0.3\n",
            "google-cloud-datastore        1.8.0\n",
            "google-cloud-firestore        1.7.0\n",
            "google-cloud-language         1.2.0\n",
            "google-cloud-storage          1.18.1\n",
            "google-cloud-translate        1.5.0\n",
            "google-colab                  1.0.0\n",
            "google-pasta                  0.2.0\n",
            "google-resumable-media        0.4.1\n",
            "googleapis-common-protos      1.53.0\n",
            "googledrivedownloader         0.4\n",
            "graphviz                      0.10.1\n",
            "greenlet                      1.1.2\n",
            "grpcio                        1.41.0\n",
            "gspread                       3.0.1\n",
            "gspread-dataframe             3.0.8\n",
            "gym                           0.17.3\n",
            "h5py                          3.1.0\n",
            "HeapDict                      1.0.1\n",
            "hijri-converter               2.2.2\n",
            "holidays                      0.10.5.2\n",
            "holoviews                     1.14.6\n",
            "html5lib                      1.0.1\n",
            "httpimport                    0.5.18\n",
            "httplib2                      0.17.4\n",
            "httplib2shim                  0.0.3\n",
            "humanize                      0.5.1\n",
            "hyperopt                      0.1.2\n",
            "ideep4py                      2.0.0.post3\n",
            "idna                          2.10\n",
            "imageio                       2.4.1\n",
            "imagesize                     1.2.0\n",
            "imbalanced-learn              0.4.3\n",
            "imblearn                      0.0\n",
            "imgaug                        0.2.9\n",
            "importlib-metadata            4.8.1\n",
            "importlib-resources           5.2.2\n",
            "imutils                       0.5.4\n",
            "inflect                       2.1.0\n",
            "iniconfig                     1.1.1\n",
            "intel-openmp                  2021.4.0\n",
            "intervaltree                  2.1.0\n",
            "iopath                        0.1.9\n",
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            "ipython                       5.5.0\n",
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            "ipywidgets                    7.6.5\n",
            "isodate                       0.6.0\n",
            "itsdangerous                  1.1.0\n",
            "jax                           0.2.21\n",
            "jaxlib                        0.1.71+cuda111\n",
            "jdcal                         1.4.1\n",
            "jedi                          0.18.0\n",
            "jieba                         0.42.1\n",
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            "joblib                        1.0.1\n",
            "jpeg4py                       0.1.4\n",
            "jsonschema                    2.6.0\n",
            "jupyter                       1.0.0\n",
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            "jupyterlab-widgets            1.0.2\n",
            "kaggle                        1.5.12\n",
            "kapre                         0.3.5\n",
            "keras                         2.6.0\n",
            "Keras-Preprocessing           1.1.2\n",
            "keras-vis                     0.4.1\n",
            "kiwisolver                    1.3.2\n",
            "korean-lunar-calendar         0.2.1\n",
            "laspy                         1.7.0\n",
            "librosa                       0.8.1\n",
            "lightgbm                      2.2.3\n",
            "llvmlite                      0.34.0\n",
            "lmdb                          0.99\n",
            "LunarCalendar                 0.0.9\n",
            "lxml                          4.2.6\n",
            "Markdown                      3.3.4\n",
            "MarkupSafe                    2.0.1\n",
            "matplotlib                    3.2.2\n",
            "matplotlib-inline             0.1.3\n",
            "matplotlib-venn               0.11.6\n",
            "missingno                     0.5.0\n",
            "mistune                       0.8.4\n",
            "mizani                        0.6.0\n",
            "mkl                           2019.0\n",
            "mlxtend                       0.14.0\n",
            "more-itertools                8.10.0\n",
            "moviepy                       0.2.3.5\n",
            "mpmath                        1.2.1\n",
            "msgpack                       1.0.2\n",
            "multiprocess                  0.70.12.2\n",
            "multitasking                  0.0.9\n",
            "murmurhash                    1.0.5\n",
            "music21                       5.5.0\n",
            "natsort                       5.5.0\n",
            "nbclient                      0.5.4\n",
            "nbconvert                     5.6.1\n",
            "nbformat                      5.1.3\n",
            "nest-asyncio                  1.5.1\n",
            "netCDF4                       1.5.7\n",
            "networkx                      2.6.3\n",
            "nibabel                       3.0.2\n",
            "nltk                          3.2.5\n",
            "notebook                      5.3.1\n",
            "numba                         0.51.2\n",
            "numexpr                       2.7.3\n",
            "numpy                         1.19.5\n",
            "nvidia-ml-py3                 7.352.0\n",
            "oauth2client                  4.1.3\n",
            "oauthlib                      3.1.1\n",
            "okgrade                       0.4.3\n",
            "open3d                        0.8.0.0\n",
            "opencv-contrib-python         4.1.2.30\n",
            "opencv-python                 4.1.2.30\n",
            "openpyxl                      2.5.9\n",
            "opt-einsum                    3.3.0\n",
            "osqp                          0.6.2.post0\n",
            "packaging                     21.0\n",
            "palettable                    3.3.0\n",
            "pandas                        1.1.5\n",
            "pandas-datareader             0.9.0\n",
            "pandas-gbq                    0.13.3\n",
            "pandas-profiling              1.4.1\n",
            "pandocfilters                 1.5.0\n",
            "panel                         0.12.1\n",
            "param                         1.11.1\n",
            "parso                         0.8.2\n",
            "pathlib                       1.0.1\n",
            "patsy                         0.5.2\n",
            "pep517                        0.11.0\n",
            "pexpect                       4.8.0\n",
            "pickleshare                   0.7.5\n",
            "Pillow                        7.1.2\n",
            "pip                           21.1.3\n",
            "pip-tools                     6.2.0\n",
            "plac                          1.1.3\n",
            "plotly                        4.4.1\n",
            "plotnine                      0.6.0\n",
            "pluggy                        0.7.1\n",
            "pooch                         1.5.1\n",
            "portalocker                   2.3.2\n",
            "portpicker                    1.3.9\n",
            "prefetch-generator            1.0.1\n",
            "preshed                       3.0.5\n",
            "prettytable                   2.2.1\n",
            "progressbar2                  3.38.0\n",
            "prometheus-client             0.11.0\n",
            "promise                       2.3\n",
            "prompt-toolkit                1.0.18\n",
            "protobuf                      3.17.3\n",
            "psutil                        5.4.8\n",
            "psycopg2                      2.7.6.1\n",
            "ptyprocess                    0.7.0\n",
            "py                            1.10.0\n",
            "pyarrow                       3.0.0\n",
            "pyasn1                        0.4.8\n",
            "pyasn1-modules                0.2.8\n",
            "pycocotools                   2.0.2\n",
            "pycparser                     2.20\n",
            "pyct                          0.4.8\n",
            "pydata-google-auth            1.2.0\n",
            "pydot                         1.3.0\n",
            "pydot-ng                      2.0.0\n",
            "pydotplus                     2.0.2\n",
            "PyDrive                       1.3.1\n",
            "pyemd                         0.5.1\n",
            "pyerfa                        2.0.0\n",
            "pyglet                        1.5.0\n",
            "Pygments                      2.6.1\n",
            "pygobject                     3.26.1\n",
            "pymc3                         3.11.4\n",
            "PyMeeus                       0.5.11\n",
            "pymongo                       3.12.0\n",
            "pymystem3                     0.2.0\n",
            "PyOpenGL                      3.1.5\n",
            "pyparsing                     2.4.7\n",
            "pyrsistent                    0.18.0\n",
            "pysndfile                     1.3.8\n",
            "PySocks                       1.7.1\n",
            "pystan                        2.19.1.1\n",
            "pytest                        3.6.4\n",
            "python-apt                    0.0.0\n",
            "python-chess                  0.23.11\n",
            "python-dateutil               2.8.2\n",
            "python-louvain                0.15\n",
            "python-slugify                5.0.2\n",
            "python-utils                  2.5.6\n",
            "pytorch3d                     0.6.0\n",
            "pytz                          2018.9\n",
            "pyviz-comms                   2.1.0\n",
            "PyWavelets                    1.1.1\n",
            "PyYAML                        6.0\n",
            "pyzmq                         22.3.0\n",
            "qdldl                         0.1.5.post0\n",
            "qtconsole                     5.1.1\n",
            "QtPy                          1.11.2\n",
            "rdflib                        6.0.2\n",
            "regex                         2019.12.20\n",
            "requests                      2.23.0\n",
            "requests-oauthlib             1.3.0\n",
            "resampy                       0.2.2\n",
            "retrying                      1.3.3\n",
            "rpy2                          3.4.5\n",
            "rsa                           4.7.2\n",
            "scikit-image                  0.16.2\n",
            "scikit-learn                  0.22.2.post1\n",
            "scipy                         1.4.1\n",
            "screen-resolution-extra       0.0.0\n",
            "scs                           2.1.4\n",
            "seaborn                       0.11.2\n",
            "semver                        2.13.0\n",
            "Send2Trash                    1.8.0\n",
            "setuptools                    57.4.0\n",
            "setuptools-git                1.2\n",
            "Shapely                       1.7.1\n",
            "simplegeneric                 0.8.1\n",
            "six                           1.15.0\n",
            "sklearn                       0.0\n",
            "sklearn-pandas                1.8.0\n",
            "smart-open                    5.2.1\n",
            "snowballstemmer               2.1.0\n",
            "sortedcontainers              2.4.0\n",
            "SoundFile                     0.10.3.post1\n",
            "spacy                         2.2.4\n",
            "Sphinx                        1.8.5\n",
            "sphinxcontrib-serializinghtml 1.1.5\n",
            "sphinxcontrib-websupport      1.2.4\n",
            "SQLAlchemy                    1.4.25\n",
            "sqlparse                      0.4.2\n",
            "srsly                         1.0.5\n",
            "statsmodels                   0.10.2\n",
            "sympy                         1.7.1\n",
            "tables                        3.4.4\n",
            "tabulate                      0.8.9\n",
            "tblib                         1.7.0\n",
            "tensorboard                   2.6.0\n",
            "tensorboard-data-server       0.6.1\n",
            "tensorboard-plugin-wit        1.8.0\n",
            "tensorflow                    2.6.0\n",
            "tensorflow-datasets           4.0.1\n",
            "tensorflow-estimator          2.6.0\n",
            "tensorflow-gcs-config         2.6.0\n",
            "tensorflow-hub                0.12.0\n",
            "tensorflow-metadata           1.2.0\n",
            "tensorflow-probability        0.14.1\n",
            "termcolor                     1.1.0\n",
            "terminado                     0.12.1\n",
            "testpath                      0.5.0\n",
            "text-unidecode                1.3\n",
            "textblob                      0.15.3\n",
            "Theano-PyMC                   1.1.2\n",
            "thinc                         7.4.0\n",
            "tifffile                      2021.10.12\n",
            "toml                          0.10.2\n",
            "tomli                         1.2.1\n",
            "toolz                         0.11.1\n",
            "torch                         1.9.0+cu111\n",
            "torch-cluster                 1.5.9\n",
            "torch-geometric               2.0.2\n",
            "torch-scatter                 2.0.9\n",
            "torch-sparse                  0.6.12\n",
            "torch-spline-conv             1.2.1\n",
            "torchsummary                  1.5.1\n",
            "torchtext                     0.10.0\n",
            "torchvision                   0.10.0+cu111\n",
            "tornado                       5.1.1\n",
            "tqdm                          4.62.3\n",
            "traitlets                     5.1.0\n",
            "tweepy                        3.10.0\n",
            "typeguard                     2.7.1\n",
            "typing-extensions             3.7.4.3\n",
            "tzlocal                       1.5.1\n",
            "uritemplate                   3.0.1\n",
            "urllib3                       1.24.3\n",
            "vega-datasets                 0.9.0\n",
            "wasabi                        0.8.2\n",
            "wcwidth                       0.2.5\n",
            "webencodings                  0.5.1\n",
            "Werkzeug                      1.0.1\n",
            "wheel                         0.37.0\n",
            "widgetsnbextension            3.5.1\n",
            "wordcloud                     1.5.0\n",
            "wrapt                         1.12.1\n",
            "xarray                        0.18.2\n",
            "xgboost                       0.90\n",
            "xkit                          0.0.0\n",
            "xlrd                          1.1.0\n",
            "xlwt                          1.3.0\n",
            "yacs                          0.1.8\n",
            "yellowbrick                   0.9.1\n",
            "zict                          2.0.0\n",
            "zipp                          3.6.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ldr1E3aQL26J",
        "outputId": "16eee4c7-010e-4025-fca4-203484b0f061"
      },
      "source": [
        "!git clone https://github.com/shnhrtkyk/point2color.git"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'point2color'...\n",
            "remote: Enumerating objects: 49, done.\u001b[K\n",
            "remote: Counting objects: 100% (49/49), done.\u001b[K\n",
            "remote: Compressing objects: 100% (37/37), done.\u001b[K\n",
            "remote: Total 49 (delta 8), reused 18 (delta 4), pack-reused 0\u001b[K\n",
            "Unpacking objects: 100% (49/49), done.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GrlQtVYgL8Eq",
        "outputId": "2da1a4ec-56fe-457f-bebd-a2a8431c5158"
      },
      "source": [
        "%cd ./point2color/"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/point2color\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uPcB-m5LMM1n",
        "outputId": "dcc69645-061b-4757-8662-24bf3da58c05"
      },
      "source": [
        "!python main.py"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Traceback (most recent call last):\n",
            "  File \"main.py\", line 29, in <module>\n",
            "    from pointnet2_classification import SAModule, GlobalSAModule, MLP\n",
            "ModuleNotFoundError: No module named 'pointnet2_classification'\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d2ocWgIjMcjt",
        "outputId": "35c55518-a03a-4ee9-d054-b4f786fafc04"
      },
      "source": [
        "!git clone https://github.com/pyg-team/pytorch_geometric.git"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'pytorch_geometric'...\n",
            "remote: Enumerating objects: 33325, done.\u001b[K\n",
            "remote: Counting objects: 100% (2421/2421), done.\u001b[K\n",
            "remote: Compressing objects: 100% (1358/1358), done.\u001b[K\n",
            "remote: Total 33325 (delta 1485), reused 1749 (delta 1055), pack-reused 30904\u001b[K\n",
            "Receiving objects: 100% (33325/33325), 6.82 MiB | 19.78 MiB/s, done.\n",
            "Resolving deltas: 100% (24528/24528), done.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hHjG8uchMg_U"
      },
      "source": [
        "!cp /content/point2color/main.py /content/point2color/pytorch_geometric/examples"
      ],
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ug6gqJrgMqJH",
        "outputId": "870bfeee-61cb-44fc-bdc3-ecd71deb0880"
      },
      "source": [
        "%cd /content/point2color/pytorch_geometric/examples"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/point2color/pytorch_geometric/examples\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7zGJuMT7MsAU",
        "outputId": "a1f03b1f-e512-4af0-80fa-b0638d0493b7"
      },
      "source": [
        "!python main.py "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Namespace(b1=0.5, b2=0.999, batch_size=1, channels=3, checkpoint_interval=-1, dataset_name='mydata_point', decay_epoch=100, epoch=0, img_height=256, img_width=256, lr=0.0002, n_cpu=16, n_epochs=200, sample_interval=500)\n",
            "/content/point2color/data//pointcloud_point/\n",
            "['/content/point2color/data//pointcloud_point/271460_3289689_4.las', '/content/point2color/data//pointcloud_point/271460_3289689_10.las', '/content/point2color/data//pointcloud_point/271460_3289689_8.las', '/content/point2color/data//pointcloud_point/271460_3289689_5.las', '/content/point2color/data//pointcloud_point/271460_3289689_3.las', '/content/point2color/data//pointcloud_point/271460_3289689_7.las', '/content/point2color/data//pointcloud_point/271460_3289689_6.las', '/content/point2color/data//pointcloud_point/271460_3289689_2.las', '/content/point2color/data//pointcloud_point/271460_3289689_9.las', '/content/point2color/data//pointcloud_point/271460_3289689_1.las']\n",
            "/content/point2color/data//pointcloud_point/271460_3289689_4.las\n",
            "271499.98\n",
            "-14.66\n",
            "3289769.58\n",
            "[0.02745098 0.03921569 0.03921569]\n",
            "[0.99607843 1.         0.99607843]\n",
            "[2 1 2 ... 1 1 1]\n",
            "['intensity', 'raw_classification', 'num_returns']\n",
            "[ 2.71499980e+05  3.28976958e+06 -1.46600000e+01]\n",
            "[ 2.71529970e+05  3.28979956e+06 -1.54000000e+00]\n",
            "[-0.5 -0.5  0. ]\n",
            "[0.49966667 0.49933333 0.43733333]\n",
            "/content/point2color/data//pointcloud_point/271460_3289689_10.las\n",
            "271499.98\n",
            "-14.34\n",
            "3289689.0100000002\n",
            "[0.03137255 0.04313725 0.04705882]\n",
            "[0.9372549  0.94117647 0.9372549 ]\n",
            "[ 6 17  6 ...  1  1  1]\n",
            "['intensity', 'raw_classification', 'num_returns']\n",
            "[ 2.71499980e+05  3.28968901e+06 -1.43400000e+01]\n",
            "[2.71529970e+05 3.28970957e+06 4.98000000e+00]\n",
            "[-0.5 -0.5  0. ]\n",
            "[0.49966667 0.18533333 0.644     ]\n",
            "/content/point2color/data//pointcloud_point/271460_3289689_8.las\n",
            "271499.98\n",
            "-14.81\n",
            "3289709.58\n",
            "[0.02745098 0.04313725 0.05490196]\n",
            "[1. 1. 1.]\n",
            "[1 1 1 ... 6 1 6]\n",
            "['intensity', 'raw_classification', 'num_returns']\n",
            "[ 2.71499980e+05  3.28970958e+06 -1.48100000e+01]\n",
            "[2.71529970e+05 3.28973957e+06 9.10000000e-01]\n",
            "[-0.5 -0.5  0. ]\n",
            "[0.49966667 0.49966667 0.524     ]\n",
            "/content/point2color/data//pointcloud_point/271460_3289689_5.las\n",
            "271499.98\n",
            "-14.950000000000001\n",
            "3289739.58\n",
            "[0.04313725 0.05490196 0.05098039]\n",
            "[0.98823529 0.98823529 0.99607843]\n",
            "[2 1 2 ... 1 1 1]\n",
            "['intensity', 'raw_classification', 'num_returns']\n",
            "[ 2.71499980e+05  3.28973958e+06 -1.49500000e+01]\n",
            "[ 2.71529970e+05  3.28976957e+06 -3.00000000e-01]\n",
            "[-0.5 -0.5  0. ]\n",
            "[0.49966667 0.49966667 0.48833333]\n",
            "/content/point2color/data//pointcloud_point/271460_3289689_3.las\n",
            "271469.99\n",
            "-14.73\n",
            "3289769.58\n",
            "[0.02745098 0.03529412 0.03529412]\n",
            "[0.99607843 1.         1.        ]\n",
            "[2 2 2 ... 1 1 1]\n",
            "['intensity', 'raw_classification', 'num_returns']\n",
            "[ 2.71469990e+05  3.28976958e+06 -1.47300000e+01]\n",
            "[ 2.71499970e+05  3.28979956e+06 -3.75000000e+00]\n",
            "[-0.5 -0.5  0. ]\n",
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            "/content/point2color/data//pointcloud_point/271460_3289689_7.las\n",
            "271469.99\n",
            "-15.46\n",
            "3289709.58\n",
            "[0.02745098 0.04313725 0.04705882]\n",
            "[1. 1. 1.]\n",
            "[2 1 2 ... 1 1 1]\n",
            "['intensity', 'raw_classification', 'num_returns']\n",
            "[ 2.71469990e+05  3.28970958e+06 -1.48700000e+01]\n",
            "[2.71499970e+05 3.28973957e+06 5.70000000e-01]\n",
            "[-0.5 -0.5  0. ]\n",
            "[0.49933333 0.49966667 0.51466667]\n",
            "/content/point2color/data//pointcloud_point/271460_3289689_6.las\n",
            "271469.99\n",
            "-148.14000000000001\n",
            "3289739.58\n",
            "[0.03921569 0.05882353 0.0745098 ]\n",
            "[0.99607843 1.         0.99607843]\n",
            "[2 2 2 ... 1 1 1]\n",
            "['intensity', 'raw_classification', 'num_returns']\n",
            "[ 2.71469990e+05  3.28973958e+06 -1.47700000e+01]\n",
            "[ 2.71499970e+05  3.28976957e+06 -5.20000000e-01]\n",
            "[-0.5 -0.5  0. ]\n",
            "[0.49933333 0.49966667 0.475     ]\n",
            "/content/point2color/data//pointcloud_point/271460_3289689_2.las\n",
            "271469.99\n",
            "-14.74\n",
            "3289799.5700000003\n",
            "[0.02352941 0.03529412 0.04313725]\n",
            "[1.         1.         0.99215686]\n",
            "[2 2 2 ... 1 1 1]\n",
            "['intensity', 'raw_classification', 'num_returns']\n",
            "[ 2.71469990e+05  3.28979957e+06 -1.47400000e+01]\n",
            "[2.71499970e+05 3.28982956e+06 4.19000000e+00]\n",
            "[-0.5 -0.5  0. ]\n",
            "[0.49933333 0.49966667 0.631     ]\n",
            "/content/point2color/data//pointcloud_point/271460_3289689_9.las\n",
            "271469.99\n",
            "-14.88\n",
            "3289689.0100000002\n",
            "[0.02745098 0.03921569 0.04313725]\n",
            "[1.         1.         0.99215686]\n",
            "[ 2  2  2 ... 17  6 17]\n",
            "['intensity', 'raw_classification', 'num_returns']\n",
            "[ 2.71469990e+05  3.28968901e+06 -1.48800000e+01]\n",
            "[ 2.71499970e+05  3.28970957e+06 -5.16000000e+00]\n",
            "[-0.5 -0.5  0. ]\n",
            "[0.49933333 0.18533333 0.324     ]\n",
            "/content/point2color/data//pointcloud_point/271460_3289689_1.las\n",
            "271499.98\n",
            "-14.88\n",
            "3289799.5700000003\n",
            "[0.02745098 0.02745098 0.03137255]\n",
            "[1. 1. 1.]\n",
            "[2 1 1 ... 1 1 1]\n",
            "['intensity', 'raw_classification', 'num_returns']\n",
            "[ 2.71499980e+05  3.28979957e+06 -1.48800000e+01]\n",
            "[2.71529970e+05 3.28982956e+06 3.72000000e+00]\n",
            "[-0.5 -0.5  0. ]\n",
            "[0.49966667 0.49966667 0.62      ]\n",
            "/usr/local/lib/python3.7/dist-packages/torch_geometric/deprecation.py:13: UserWarning: 'data.DataLoader' is deprecated, use 'loader.DataLoader' instead\n",
            "  warnings.warn(out)\n",
            "/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py:481: UserWarning: This DataLoader will create 16 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "  cpuset_checked))\n",
            "/usr/local/lib/python3.7/dist-packages/torch/nn/functional.py:1805: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.\n",
            "  warnings.warn(\"nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.\")\n"
          ]
        }
      ]
    }
  ]
}