├── .gitignore ├── 3dmodel_viewer ├── 3dtiles │ ├── index.html │ ├── main.js │ └── style.css ├── READMD.md ├── geojson │ ├── 53392633_bldg_4326_lod2_05.geojson │ ├── index.html │ ├── main.js │ └── style.css └── images │ ├── 3dtiles.jpg │ └── geojson.jpg ├── CHANGELOG.md ├── GEOMEMO.md ├── LICENSE ├── README.md ├── cct.py ├── poetry.lock ├── py_plateau ├── __init__.py ├── building.py ├── city_gml.py └── earcut.py ├── pyproject.toml └── tests ├── __init__.py ├── answer ├── 53392633_bldg_4326_lod0.geojson ├── 53392633_bldg_4326_lod0_00.geojson ├── 53392633_bldg_4326_lod0_01.geojson ├── 53392633_bldg_4326_lod0_02.geojson ├── 53392633_bldg_4326_lod0_03.geojson ├── 53392633_bldg_4326_lod0_04.geojson ├── 53392633_bldg_4326_lod0_05.geojson ├── 53392633_bldg_4326_lod0_06.geojson ├── 53392633_bldg_4326_lod0_07.geojson ├── 53392633_bldg_4326_lod0_08.geojson ├── 53392633_bldg_4326_lod0_09.geojson ├── 53392633_bldg_4326_lod1.geojson ├── 53392633_bldg_4326_lod1_00.geojson ├── 53392633_bldg_4326_lod1_01.geojson ├── 53392633_bldg_4326_lod1_02.geojson ├── 53392633_bldg_4326_lod1_03.geojson ├── 53392633_bldg_4326_lod1_04.geojson ├── 53392633_bldg_4326_lod1_05.geojson ├── 53392633_bldg_4326_lod1_06.geojson ├── 53392633_bldg_4326_lod1_07.geojson ├── 53392633_bldg_4326_lod1_08.geojson ├── 53392633_bldg_4326_lod1_09.geojson ├── 53392633_bldg_4326_lod2.geojson ├── 53392633_bldg_4326_lod2_00.geojson ├── 53392633_bldg_4326_lod2_01.geojson ├── 53392633_bldg_4326_lod2_02.geojson ├── 53392633_bldg_4326_lod2_03.geojson ├── 53392633_bldg_4326_lod2_04.geojson ├── 53392633_bldg_4326_lod2_05.geojson ├── 53392633_bldg_4326_lod2_06.geojson ├── 53392633_bldg_4326_lod2_07.geojson ├── 53392633_bldg_4326_lod2_08.geojson ├── 53392633_bldg_4326_lod2_09.geojson ├── 53392633_bldg_6677_lod0.ply ├── 53392633_bldg_6677_lod0_00.ply ├── 53392633_bldg_6677_lod0_01.ply ├── 53392633_bldg_6677_lod0_02.ply ├── 53392633_bldg_6677_lod0_03.ply ├── 53392633_bldg_6677_lod0_04.ply ├── 53392633_bldg_6677_lod0_05.ply ├── 53392633_bldg_6677_lod0_06.ply ├── 53392633_bldg_6677_lod0_07.ply ├── 53392633_bldg_6677_lod0_08.ply ├── 53392633_bldg_6677_lod0_09.ply ├── 53392633_bldg_6677_lod1.ply ├── 53392633_bldg_6677_lod1_00.ply ├── 53392633_bldg_6677_lod1_01.ply ├── 53392633_bldg_6677_lod1_02.ply ├── 53392633_bldg_6677_lod1_03.ply ├── 53392633_bldg_6677_lod1_04.ply ├── 53392633_bldg_6677_lod1_05.ply ├── 53392633_bldg_6677_lod1_06.ply ├── 53392633_bldg_6677_lod1_07.ply ├── 53392633_bldg_6677_lod1_08.ply ├── 53392633_bldg_6677_lod1_09.ply ├── 53392633_bldg_6677_lod2.ply ├── 53392633_bldg_6677_lod2_00.ply ├── 53392633_bldg_6677_lod2_01.ply ├── 53392633_bldg_6677_lod2_02.ply ├── 53392633_bldg_6677_lod2_03.ply ├── 53392633_bldg_6677_lod2_04.ply ├── 53392633_bldg_6677_lod2_05.ply ├── 53392633_bldg_6677_lod2_06.ply ├── 53392633_bldg_6677_lod2_07.ply ├── 53392633_bldg_6677_lod2_08.ply └── 53392633_bldg_6677_lod2_09.ply ├── conftest.py ├── data ├── 53392633_bldg_6697_2_op.gml └── 53392633_bldg_6697_appearance │ ├── hnap0664.jpg │ ├── hnap0665.jpg │ ├── hnap0666.jpg │ ├── hnap0668.jpg │ ├── hnap0669.jpg │ ├── hnap0670.jpg │ ├── hnap0671.jpg │ ├── hnap0672.jpg │ ├── hnap0675.jpg │ └── hnap0697.jpg ├── test_geojson.py ├── test_ply.py ├── test_poly_and_poly_id.py ├── test_textures.py └── test_transform_coordinate.py /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | pip-wheel-metadata/ 24 | share/python-wheels/ 25 | *.egg-info/ 26 | .installed.cfg 27 | *.egg 28 | MANIFEST 29 | 30 | # PyInstaller 31 | # Usually these files are written by a python script from a template 32 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 33 | *.manifest 34 | *.spec 35 | 36 | # Installer logs 37 | pip-log.txt 38 | pip-delete-this-directory.txt 39 | 40 | # Unit test / coverage reports 41 | htmlcov/ 42 | .tox/ 43 | .nox/ 44 | .coverage 45 | .coverage.* 46 | .cache 47 | nosetests.xml 48 | coverage.xml 49 | *.cover 50 | *.py,cover 51 | .hypothesis/ 52 | .pytest_cache/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | target/ 76 | 77 | # Jupyter Notebook 78 | .ipynb_checkpoints 79 | 80 | # IPython 81 | profile_default/ 82 | ipython_config.py 83 | 84 | # pyenv 85 | .python-version 86 | 87 | # pipenv 88 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 89 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 90 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 91 | # install all needed dependencies. 92 | #Pipfile.lock 93 | 94 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow 95 | __pypackages__/ 96 | 97 | # Celery stuff 98 | celerybeat-schedule 99 | celerybeat.pid 100 | 101 | # SageMath parsed files 102 | *.sage.py 103 | 104 | # Environments 105 | .env 106 | .venv 107 | env/ 108 | venv/ 109 | ENV/ 110 | env.bak/ 111 | venv.bak/ 112 | 113 | # Spyder project settings 114 | .spyderproject 115 | .spyproject 116 | 117 | # Rope project settings 118 | .ropeproject 119 | 120 | # mkdocs documentation 121 | /site 122 | 123 | # mypy 124 | .mypy_cache/ 125 | .dmypy.json 126 | dmypy.json 127 | 128 | # Pyre type checker 129 | .pyre/ 130 | 131 | # private 132 | .idea/ 133 | output/ 134 | data/ 135 | 0*.*/ 136 | -------------------------------------------------------------------------------- /3dmodel_viewer/3dtiles/index.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 3D Tiles Viewer 6 | 7 | 8 | 9 | 10 | 11 | 12 |
13 | 14 | 15 | 16 | -------------------------------------------------------------------------------- /3dmodel_viewer/3dtiles/main.js: -------------------------------------------------------------------------------- 1 | // Cesium Ionの読み込みアクセストークンを設定 2 | Cesium.Ion.defaultAccessToken = 'your_access_token'; 3 | 4 | // 地形モデルのTerrainデータの指定 5 | var viewer = new Cesium.Viewer('map', { 6 | animation : false, 7 | baseLayerPicker: false, 8 | fullscreenButton: false, 9 | geocoder: false, 10 | homeButton: false, 11 | navigationHelpButton: false, 12 | sceneModePicker: false, 13 | scene3DOnly: true, 14 | timeline: false, 15 | imageryProvider: new Cesium.OpenStreetMapImageryProvider({ 16 | url : 'https://a.tile.openstreetmap.org/' 17 | }), 18 | terrainProvider: Cesium.createWorldTerrain() 19 | }); 20 | 21 | // 航空写真オルソ画像タイルデータ(PLATEAU-Ortho)の指定 22 | /* 23 | var imageProvider = new Cesium.UrlTemplateImageryProvider({ url: 'https://gic-plateau.s3.ap-northeast-1.amazonaws.com/2020/ortho/tiles/{z}/{x}/{y}.png', maximumLevel : 19}); 24 | var current_image = viewer.scene.imageryLayers.addImageryProvider(imageProvider); 25 | */ 26 | 27 | // 建築物モデル等の3DTilesデータ(東京都千代田区の建物データ)の指定 28 | var your_3d_tiles = viewer.scene.primitives.add(new Cesium.Cesium3DTileset({ 29 | // テクスチャなし 30 | // url : 'https://plateau.geospatial.jp/main/data/3d-tiles/bldg/13100_tokyo/13101_chiyoda-ku/notexture/tileset.json' 31 | // テクスチャ付き 32 | // url : 'https://plateau.geospatial.jp/main/data/3d-tiles/bldg/13100_tokyo/13101_chiyoda-ku/texture/tileset.json' 33 | // テクスチャ付き（低解像度） 34 | url : 'https://plateau.geospatial.jp/main/data/3d-tiles/bldg/13100_tokyo/13101_chiyoda-ku/low_resolution/tileset.json' 35 | })); 36 | 37 | // カメラの初期位置の指定 38 | viewer.camera.setView({ 39 | destination : Cesium.Cartesian3.fromDegrees(139.74887, 35.65692, 800.0), 40 | orientation: { 41 | heading : Cesium.Math.toRadians(0.0), // east, default value is 0.0 (north) 42 | pitch : Cesium.Math.toRadians(-10), // default value (looking down) 43 | roll : 0.0 // default value 44 | } 45 | }); 46 | 47 | // マウスクリックで緯度経度を表示 48 | /* 49 | viewer.canvas.addEventListener('click', function(e) { 50 | var mousePosition = new Cesium.Cartesian2(e.clientX, e.clientY); 51 | var ellipsoid = viewer.scene.globe.ellipsoid; 52 | var cartesian = viewer.camera.pickEllipsoid(mousePosition, ellipsoid); 53 | if (cartesian) { 54 | var cartographic = ellipsoid.cartesianToCartographic(cartesian); 55 | var lon = Cesium.Math.toDegrees(cartographic.longitude).toFixed(5); 56 | var lat = Cesium.Math.toDegrees(cartographic.latitude).toFixed(5); 57 | alert(lon + ', ' + lat); 58 | } else { 59 | alert('Globe was not picked'); 60 | } 61 | }, false); 62 | */ -------------------------------------------------------------------------------- /3dmodel_viewer/3dtiles/style.css: -------------------------------------------------------------------------------- 1 | html, body { 2 | padding: 0; 3 | margin: 0; 4 | height: 100%; 5 | } 6 | 7 | #map { 8 | position: absolute; 9 | top: 0; 10 | left: 0; 11 | height: 100%; 12 | width: 100%; 13 | margin: 0; 14 | overflow: hidden; 15 | padding: 0; 16 | font-family: sans-serif; 17 | } 18 | -------------------------------------------------------------------------------- /3dmodel_viewer/READMD.md: -------------------------------------------------------------------------------- 1 | 3D都市空間モデルビューワー 2 | ==== 3 | 4 | ### Cesium 5 | 3D都市空間モデルの表示に[Cesium GS社](https://cesium.com/)の「Cesium ion」や「CesiumJS」を使用します 6 | 「Cesium ion」は、3D地理空間データのためのプラットフォームです。「CesiumJS」は3D地理空間データを視覚化するためのオープンソースのJavaScriptライブラリです 7 | 8 | CesiumJSの利用方法等はチュートリアルやドキュメントを参照してください。 9 | * [CesiumJS (チュートリアル)](https://cesium.com/learn/cesiumjs-learn/) 10 | * [CesiumJS (ドキュメント)](https://cesium.com/learn/cesiumjs/ref-doc/Viewer.html) 11 | * [GIS実習オープン教材 - Cesium入門](https://gis-oer.github.io/gitbook/book/materials/web_gis/Cesium/Cesium.html) 12 | 13 | #### Cesium Access Token取得 14 | CesiumJSを使用する為にはAccess Tokenを取得する必要があります。 15 | Cesium ionのアカウントを作成して、ログイン後にAccess TokensメニューからAccess Tokensを取得します。非商用の個人プロジェクト、研究、非営利の教育活動目的であれば無料です。 16 | 17 | [Cesium ion アカウント作成](https://cesium.com/ion/signup/) 18 | 19 | ### CesiumJSで3D地理空間データの可視化 20 | Access Tokensを取得しmain.jsの「your_access_token」を書き換えてください。 21 | 22 | main.js 23 | ``` 24 | Cesium.Ion.defaultAccessToken = 'your_access_token'; 25 | ``` 26 | 27 | #### GeoJSONファイル 28 | GeoJSONを表示させます 29 | ``` 30 | $ cd geojson 31 | $ python -m http.server 8000 32 | https://127.0.0.1:8000/でアクセス 33 | ``` 34 | 表示例 35 | ![](./images/geojson.jpg) 36 | 37 | #### 3DTiles形式のデータ 38 | 3D tiles形式のデータを表示させます 39 | ``` 40 | $ cd 3dtiles 41 | $ python -m http.server 8000 42 | https://127.0.0.1:8000/でアクセス 43 | ``` 44 | 45 | 表示例 46 | ![](./images/3dtiles.jpg) 47 | 48 | ### ワンライナーWebサーバ 49 | CesiumJSの動作確認をする場合は、ワンライナーWebサーバを使用するとよいと思います。ワンライナーWebサーバを起動させて、Webブラウザーから動作確認をしてみてください 50 | 51 | 起動後、Webブラウザーで下記にアクセスしてください。 52 | https://127.0.0.1:8000/ 53 | 54 | #### Python3 55 | Python3は下記で起動させます 56 | 57 | ``` 58 | ワンライナーWebサーバ起動 59 | $ python -m http.server 8000 60 | ``` 61 | #### node.js（http-server） 62 | node.js（http-server）は下記で起動させます 63 | 64 | http-serverをグローバルインストール 65 | ``` 66 | インスト―ル 67 | $ npm install -g http-server 68 | 69 | ワンライナーWebサーバ起動 70 | $ http-server -p 8000 71 | ``` 72 | 73 | http-serverをローカルインストール 74 | ``` 75 | インスト―ル 76 | $ npm install http-server 77 | 78 | ワンライナーWebサーバ起動 79 | $ ./node_modules/.bin/http-server -p 8000 80 | ``` 81 | 82 | ### PLATEAUデータの表示 83 | PLATEAUデータの可視化は下記を参考にしてください 84 | 85 | * [PLATEAU配信サービス（試験運用）-チュートリアル](https://github.com/Project-PLATEAU/plateau-streaming-tutorial) 86 | * [3D都市モデル（Project PLATEAU）ポータルサイト](https://www.geospatial.jp/ckan/dataset/plateau) 87 | - Project PLATEAUが新たに取得したオルソ航空写真はG空間情報センターからGeoTIFF形式で入手可能 88 | 89 | | データセット | 説明 | チュートリアル | 90 | |:----------------|:----------------------------|:----------------------------| 91 | | PLATEAU-3DTiles | 建築物モデル等の3DTilesデータ | plateau-3dtiles-streaming | 92 | | PLATEAU-Terrain | 地形モデルのTerraindbデータ | plateau-terrain-streaming | 93 | | PLATEAU-Ortho | 航空写真オルソ画像タイルデータ | plateau-ortho-streaming | 94 | 95 | * [PLATEAU-3DTiles配信チュートリアル (plateau-3dtiles-streaming)](https://github.com/Project-PLATEAU/plateau-streaming-tutorial/blob/main/3d-tiles/plateau-3dtiles-streaming.md) 96 | * [PLATEAU-Terrain配信チュートリアル (plateau-terrain-streaming)](https://github.com/Project-PLATEAU/plateau-streaming-tutorial/blob/main/terrain/plateau-terrain-streaming.md) 97 | * [PLATEAUオルソ配信チュートリアル (plateau-ortho-streaming)](https://github.com/Project-PLATEAU/plateau-streaming-tutorial/blob/main/ortho/plateau-ortho-streaming.md) 98 | -------------------------------------------------------------------------------- /3dmodel_viewer/geojson/index.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | GeoJSON Viewer 6 | 7 | 8 | 9 | 10 | 11 | 12 |
13 | 14 | 15 | 16 | -------------------------------------------------------------------------------- /3dmodel_viewer/geojson/main.js: -------------------------------------------------------------------------------- 1 | // Cesium ionのアクセストークン 2 | Cesium.Ion.defaultAccessToken = 'your_access_token'; 3 | 4 | // GeoJSONファイル表示 5 | var promise = Cesium.GeoJsonDataSource.load('53392633_bldg_4326_lod2_05.geojson'); 6 | promise.then(function(datasource){ 7 | var viewer = new Cesium.Viewer('map', { 8 | animation : false, 9 | baseLayerPicker: false, 10 | fullscreenButton: false, 11 | geocoder: false, 12 | homeButton: false, 13 | navigationHelpButton: false, 14 | sceneModePicker: false, 15 | scene3DOnly: true, 16 | timeline: false, 17 | imageryProvider: new Cesium.OpenStreetMapImageryProvider({ 18 | // 地理院タイル 色別標高図 https://maps.gsi.go.jp/development/ichiran.html 19 | url: '//cyberjapandata.gsi.go.jp/xyz/relief/' 20 | }), 21 | terrainProvider: Cesium.createWorldTerrain(), 22 | }); 23 | 24 | var layers = viewer.scene.imageryLayers; 25 | var osm = layers.addImageryProvider( 26 | new Cesium.OpenStreetMapImageryProvider() 27 | ); 28 | osm.alpha = 0.6; 29 | 30 | viewer.dataSources.add(datasource); 31 | viewer.zoomTo(datasource); 32 | }); 33 | -------------------------------------------------------------------------------- /3dmodel_viewer/geojson/style.css: -------------------------------------------------------------------------------- 1 | html, body { 2 | padding: 0; 3 | margin: 0; 4 | height: 100%; 5 | } 6 | 7 | #map { 8 | position: absolute; 9 | top: 0; 10 | left: 0; 11 | height: 100%; 12 | width: 100%; 13 | margin: 0; 14 | overflow: hidden; 15 | padding: 0; 16 | font-family: sans-serif; 17 | } 18 | -------------------------------------------------------------------------------- /3dmodel_viewer/images/3dtiles.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/GeoPythonJP/citygml-convert-tools/25d4fa3e0dd92778c3e797a73064e1f824afc29f/3dmodel_viewer/images/3dtiles.jpg -------------------------------------------------------------------------------- /3dmodel_viewer/images/geojson.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/GeoPythonJP/citygml-convert-tools/25d4fa3e0dd92778c3e797a73064e1f824afc29f/3dmodel_viewer/images/geojson.jpg -------------------------------------------------------------------------------- /CHANGELOG.md: -------------------------------------------------------------------------------- 1 | # Changelog 2 | In this changelog all modifications to the `citygml-convert-tools` 3 | 4 | ## 2022-11-23 5 | ### Added 6 | * 3D都市空間モデルビューワーを追加 7 | * テクスチャーのコードを追加 8 | 9 | ### Fixed 10 | * none 11 | 12 | ## 2022-11-13 (v0.0.1) 13 | ### Added 14 | * コマンドラインをサブコマンド形式に変更 15 | * PLYとGeoJSONの変換処理を統合 16 | * PLYとGeoJSONのテストを追加 17 | * earcut-pythonのサブモジュールを廃止し、プロジェクトに統合 18 | 19 | ### Fixed 20 | * PLY変換のバグを修正 21 | 22 | ## 2022-11-05 23 | ### Added 24 | * citygml2geojsonを追加 25 | 26 | ### Fixed 27 | * none 28 | -------------------------------------------------------------------------------- /GEOMEMO.md: -------------------------------------------------------------------------------- 1 | Geo関連情報のメモ 2 | --- 3 | 周辺のGeo関連情報のメモ 4 | 5 | ### 平面直角座標系変換 6 | 7 | #### 市区町村名・緯度経度から平面直角座標系を取得するCLIツール 8 | * [市区町村名・緯度経度から平面直角座標系の系番号を取得するツールを作成した！](https://qiita.com/nokonoko_1203/items/f8925081665cab3f36f0) 9 | * [MIERUNE/create_city_feather](https://github.com/MIERUNE/create_gpkg_for_city_boundaries) 10 | * [MIERUNE/search_zone_number](https://github.com/MIERUNE/search_zone_number) 11 | 12 | 13 | ### ファイルフォーマット 14 | * [ESRI Shaplefile](https://www.esri.com/content/dam/esrisites/sitecore-archive/Files/Pdfs/library/whitepapers/pdfs/shapefile.pdf) 15 | * [Shaplefile](https://www.loc.gov/preservation/digital/formats/fdd/fdd000280.shtml) 16 | * [GeoJSON - GeoJSON · GIS実習オープン教材](https://gis-oer.github.io/gitbook/book/materials/web_gis/GeoJSON/GeoJSON.html) 17 | * [GeoPackage](https://www.geopackage.org/) 18 | * [opengeospatial/geopackage](https://github.com/opengeospatial/geopackage) 19 | * [mapbox/geobuf](https://github.com/mapbox/geobuf 20 | * [flatgeobuf / flatgeobuf](https://github.com/flatgeobuf/flatgeobuf) 21 | * [GeoParquet](https://github.com/opengeospatial/geoparquet) 22 | * [GeoTIFF](https://www.loc.gov/preservation/digital/formats/fdd/fdd000279.shtml) 23 | 24 | #### 参考 25 | * [GeoPandasをやるならFlatGeobufより10倍早いGeoParquetを使おう！](https://qiita.com/nokonoko_1203/items/a01168096c2d4c2d6914) 26 | * [GeoJSONをバイナリ化して圧縮するFlatGeobuf](https://gunmagisgeek.com/blog/data/7222) 27 | 28 | ### 全国地方公共団体コード 29 | * [全国地方公共団体コード](https://www.soumu.go.jp/denshijiti/code.html) 30 | - [JIS X 0401 都道府県コード, （旧 JIS C 6260, ISO3166-2:JP](https://www.jisc.go.jp/app/jis/general/GnrJISNumberNameSearchList?show&jisStdNo=X0401) 31 | - [JIS X 0402 市区町村コード](https://www.jisc.go.jp/app/jis/general/GnrJISNumberNameSearchList?show&jisStdNo=X0402) 32 | - [JIS X 0402:2020]2020年版というように更新版がある。市町村は名前変更、合併などで[改正](https://webdesk.jsa.or.jp/books/W11M0090/index/?bunsyo_id=JIS+X+0402%3A2020)がある 33 | * [日本の標準地域メッシュを生成するツール](https://github.com/MIERUNE/japan-mesh-tool) 34 | 35 | ### 地域メッシュコード 36 | [地域メッシュコード]https://ja.wikipedia.org/wiki/地域メッシュ)は、に、緯度・経度で網の目（メッシュ）に分けたもの。 37 | メッシュの大きさで、第1次メッシュ -> 第2次メッシュ -> 第3次メッシュとメッシュのサイズが異なる 38 | 39 | 第1次メッシュ: 1辺の長さは約80km 40 | 第2次メッシュ: 1辺の長さは約10km 41 | 第3次メッシュ: 1辺の長さは約1km 42 | 43 | * [JIS X 0410:2002地域メッシュコー](https://www.jisc.go.jp/app/jis/general/GnrJISNumberNameSearchList?show&jisStdNo=X0410) 44 | * [JIS X 0410:2002「地域メッシュコード」（日本産業標準調査会、経済産業省）](https://www.jisc.go.jp/app/jis/general/GnrJISNumberNameSearchList?show&jisStdNo=X0410) 45 | 46 | ### ジオコーディング 47 | * [CSVアドレス マッチング サービス(CSIS)](https://geocode.csis.u-tokyo.ac.jp/home/csv-admatch/) 48 | * [GeoNLP](https://geonlp.ex.nii.ac.jp/) 49 | * [IMIコンポーネントツール](https://info.gbiz.go.jp/tools/imi_tools/) 50 | - [IMI](https://imi.go.jp/) 51 | - [GitHub](https://github.com/IMI-Tool-Project) 52 | * [Community Geocoder](https://community-geocoder.geolonia.com/) 53 | - [オープンソースのジオコーディング API ](https://github.com/geolonia/community-geocoder) 54 | - [Geolonia 住所データ](https://github.com/geolonia/japanese-addresses) 55 | - [オープンソースの住所正規化ライブラリです。](https://github.com/geolonia/normalize-japanese-addresses) 56 | * [ExcelGeo (ITDART)](http://excelgeo.itdart.org/) 57 | 58 | #### 参考 59 | * [地番と住居表示の違いは何か](https://登記簿図書館.com/cpu/column/theme01/column03.html) 60 | * [ジオコーディングと住所データ](https://qiita.com/nyampire/items/d74dcde6e57f793ab0c1) 61 | 62 | ### その他 63 | * [位置参照情報(国土交通省)](https://nlftp.mlit.go.jp/isj/) 64 | * [GeoNames.jp](https://geonames.jp/) 65 | * [GeoNLP](http://agora.ex.nii.ac.jp/GeoNLP/) 66 | * [電子国土基本図（地名情報）「住居表示住所」](https://www.gsi.go.jp/kihonjohochousa/jukyo_jusho.html) 67 | * [地名集日本（GAZETTEER OF JAPAN)](https://www.gsi.go.jp/kihonjohochousa/gazetteer.html) 68 | * [OpenAddressess(海外)](https://openaddresses.io/) 69 | 70 | 71 | ---- 72 | 73 | ### リンク集 74 | 75 | #### GIS学習サイト 76 | * [GIS実習オープン教材](https://gis-oer.github.io/gitbook/book/) 77 | * [オンラインGIS教材](https://sites.google.com/view/gis-online-learning/) 78 | * [地理教材共有サイト](https://sites.google.com/view/geoclass2020/) 79 | 80 | #### 雑多なメモ 81 | * [Pythonではじめる地理空間情報(α版) HackMD](https://hackmd.io/@geopythonjp/HkppxtRP5/%2FBBL9R2NVRAaagfWNHHIHhQ) 82 | * [Pythonではじめる地理空間情報 (PyConJP2022版)](https://speakerdeck.com/homata/pythondehazimerudi-li-kong-jian-qing-bao) 83 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | 2 | The MIT License (MIT) 3 | Copyright (c) 2017, homata 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: 6 | 7 | The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. 8 | 9 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. 10 | 11 | "font-awesome" is lisenced under the SIL Open Font License 1.1 12 | https://fontawesome.com/v4.7.0/ 13 | http://scripts.sil.org/OFL -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | [![Python 3](https://img.shields.io/badge/python-3-blue.svg)](https://www.python.org/) 2 | 3 | CityGML変換ツール (citygml-convert-tools) 4 | === 5 | 6 | [CityGML](https://www.mlit.go.jp/plateau/learning/)は、地理空間データのため標準データフォーマットです。 7 | XMLベースで定義されているCityGMLは、中間データフォーマットと言われているように利用サイドが使いやすい形式に変換して利用することを想定されている。 8 | 手軽にCityGMLファイルを変換できるツールを作成した 9 | 10 | コードは出来るだけシンプルにしたかったので、サンプルコードとしてバッサリとコードは簡潔にしてます。 11 | エラー処理やテスト等も省略している部分があります。何かの参考にしていただければ幸いです 12 | 13 | ### about py_plateau module 14 | 15 | ``` 16 | $ python cct.py --version 17 | 18 | CityGML convert tools (CCT) v0.0.1 19 | ``` 20 | 21 | #### Features 22 | 23 | - リポジトリルートに配置されているcct.pyを利用することで、py_plateauモジュールを利用したCityGMLの変換が可能 24 | - 以下の機能が利用可能 25 | - CityGMLファイル → PLYファイル変換 26 | - CityGMLファイル → GeoJSONファイル変換 27 | - 建物(bldg)のみ対応 28 | - LOD0, LOD1, LOD2対応 29 | - テクスチャは非対応 30 | - [緯度経度]、[経度緯度]の変換対応 31 | - 建物(bldg)分割 32 | 33 | ※1 2D座標系に変換する場合も3D座標で[longitude, latitude, height]に変換します 34 | 35 | #### Usage 36 | 37 | ##### Main 38 | 39 | ``` 40 | $ python cct.py --help 41 | 42 | Usage: cct.py [OPTIONS] COMMAND [ARGS]... 43 | 44 | CityGML convert tools (CCT) v0.0.1 45 | 46 | Options: 47 | --version Show the version and exit. 48 | -d, --debug / --no-debug debug mode 49 | -v, --verbose verbose mode 50 | --help Show this message and exit. 51 | 52 | Commands: 53 | geojson Convert CityGML file to GeoJSON file 54 | ply Convert CityGML file to PLY file 55 | ``` 56 | 57 | ##### CityGMLファイル → PLYファイル変換 58 | ``` 59 | $ python cct.py ply --help 60 | 61 | Usage: cct.py ply [OPTIONS] FILENAME 62 | 63 | Convert CityGML file to PLY file 64 | 65 | Options: 66 | -o, --output TEXT output path name 67 | -s, --to-srid TEXT output SRID(EPSG) 68 | -l, --lod INTEGER RANGE output lod type [0<=x<=2] 69 | -sp, --separate separate the building data 70 | --help Show this message and exit. 71 | ``` 72 | 73 | Examples 74 | ``` 75 | $ python cct.py ply 53392633_bldg_6697_2_op.gml --lod=2 --to-srid=6677 76 | ``` 77 | 78 | ##### CityGMLファイル → GeoJSONファイル変換 79 | ``` 80 | $ python cct.py geojson --help 81 | 82 | Usage: cct.py geojson [OPTIONS] FILENAME 83 | 84 | Convert CityGML file to GeoJSON file 85 | 86 | Options: 87 | -o, --output TEXT output path name 88 | -s, --to-srid TEXT output SRID(EPSG) 89 | -l, --lod INTEGER RANGE output lod type [0<=x<=2] 90 | -sp, --separate separate the building data 91 | -lonlat, --lonlat swap lon lat order 92 | --help Show this message and exit. 93 | ``` 94 | 95 | Examples 96 | ``` 97 | $ python cct.py geojson 53392633_bldg_6697_2_op.gml --lod=2 --to-srid=4326 98 | ``` 99 | 100 | Installation 101 | --- 102 | Pythonと[poetry](https://python-poetry.org/)を利用します。 103 | 104 | ``` 105 | $ git clone git@github.com:GeoPythonJP/citygml-convert-tools.git 106 | $ poetry install 107 | $ poetry shell 108 | ``` 109 | 110 | Changelog 111 | --- 112 | see the [changelog](./CHANGELOG.md). 113 | 114 | 115 | Tests Data 116 | --- 117 | [3D都市モデル（Project PLATEAU）東京都23区](https://www.geospatial.jp/ckan/dataset/plateau-tokyo23ku)のCityGMLの東京都大田区羽田空港三丁目データ ”53392633_bldg_6697_2_op.gml” のみで動作確認 118 | 119 | License 120 | --- 121 | MIT 122 | See the[license](./LICENSE) document for the full text. 123 | 124 | Modules 125 | --- 126 | 下記のモジュールを参考、使用しています。 127 | 各々のライセンスに従ってください。 128 | * [earcut-python](https://github.com/joshuaskelly/earcut-python) 129 | * earcut.py 130 | * [AcculusSasao/plateaupy](https://github.com/AcculusSasao/plateaupy) 131 | * [ksasao/PlateauCityGmlSharp](https://github.com/ksasao/PlateauCityGmlSharp/) 132 | * [cityjson/cjio](https://github.com/cityjson/cjio) 133 | 134 | 135 | Contributors 136 | --- 137 | | GitHub | Twitter | 138 | |-------------------------------------------------|-----------------------------------------------------| 139 | | [homata](http://github.com/homata) | [@homata](https://twitter.com/homata) | 140 | | [nokonoko1203](https://github.com/nokonoko1203) | [@nokonoko_1203](https://twitter.com/nokonoko_1203) | 141 | 142 | CityGMLビューワー 143 | --- 144 | CityGMLファイルを表示させる下記のツールがあります。 145 | 146 | * Windows版 147 | * [FZKViewer](https://www.iai.kit.edu/1302.php) 148 | * [FZKViewer のインストール（Windows 上）](https://www.kkaneko.jp/tools/win/fzkviewer.html) 149 | * Mac版 150 | * [azul](https://github.com/tudelft3d/azul) 151 | 152 | 座標系のメモ 153 | --- 154 | 座標系の変換等をする場合の参考情報を記述します 155 | 156 | #### CityGMLの座標系 157 | * 日本測地系2011における経緯度座標系と東京湾平均海面を基準とする標高の複合座標参照系: 6697 158 | * 日本測地系2011における経緯度座標系: 6668 159 | 160 | #### 日本の測地系 161 | * [日本の測地系](https://www.gsi.go.jp/sokuchikijun/datum-main.html) 162 | * [わかりやすい平面直角座標系](https://www.gsi.go.jp/sokuchikijun/jpc.html) 163 | 164 | #### EPSG:6697 165 | EPSG:6697というのは「JGD2011 + JGD2011 (vertical) height」という座標参照系でEPSG:6668（JGD2011）とEPSG:6695（JGD2011 (vertical) height）からなる座標系である 166 | 167 | * [EPSG:6697](https://epsg.io/6697): JGD2011 + JGD2011 (vertical) height　緯度、経度、標高 (EPSG:6668+6695) 168 | * [EPSG:6668](https://epsg.io/6668): JGD2011　緯度、経度 169 | * [EPSG:6695](https://epsg.io/6695): JGD2011 (vertical) height　標高単位：m 170 | * [EPSG:6666](https://epsg.io/6666): JGD2011 地心直交座標系 (X, Y, Z) 地球中心のXYZ 単位：m 171 | 172 | #### 日本測地系2011　平面直角座標系:6669-6687 173 | ``` 174 | 系 EPSG (JGD2011) 区域 175 | 1 6669 長崎県、鹿児島県の一部 176 | 2 6670 福岡県、佐賀県、熊本県、大分県、宮崎県、鹿児島県の一部 177 | 3 6671 山口県、島根県、広島県 178 | 4 6672 香川県、愛媛県、徳島県、高知県 179 | 5 6673 兵庫県、鳥取県、岡山県 180 | 6 6674 京都府、大阪府、福井県、滋賀県、三重県、奈良県、和歌山県 181 | 7 6675 石川県、富山県、岐阜県、愛知県 182 | 8 6676 新潟県、長野県、山梨県、静岡県 183 | 9 6677 東京都の一部、福島県、栃木県、茨城県、埼玉県、千葉県、群馬県、神祭川県 184 | 10 6678 青森県、秋田県、山形県、岩手県、宮城県 185 | 11 6679 北海道の一部 186 | 12 6680 北海道の一部 187 | 13 6681 北海道の一部 188 | 14 6682 東京都の一部 189 | 15 6683 沖縄県の一部 190 | 16 6684 沖縄県の一部 191 | 17 6685 沖縄県の一部 192 | 18 6686 東京都の一部 193 | 19 6687 東京都の一部 194 | ``` 195 | 196 | 197 | PLATEAU関連情報 198 | --- 199 | PLATEAU関連情報のメモ 200 | 201 | * [Project PLATEAU](https://www.mlit.go.jp/plateau/) 202 | * [3D都市モデル標準製品仕様書（第2.3版）](https://www.mlit.go.jp/plateau/file/libraries/doc/plateau_doc_0001_ver02.pdf) 203 | * [3D都市モデル標準製品仕様書（第2.3版）(HTML)](https://www.mlit.go.jp/plateaudocument/) 204 | * [3D都市モデル整備のためのBIM活用マニュアル（第1.0版）](https://www.mlit.go.jp/plateau/file/libraries/doc/plateau_doc_0003_ver01.pdf) 205 | * [3D都市モデルのデータ変換マニュアル](https://www.mlit.go.jp/plateau/file/libraries/doc/plateau_doc_0007_ver01.pdf) 206 | * [3D都市モデルのデータ変換マニュアル](https://github.com/Project-PLATEAU/Data-Conversion-Manual-for-3D-City-Model) 207 | * [G空間情報センター](https://www.geospatial.jp/ckan/dataset/plateau) 208 | * [GitHub](https://github.com/Project-PLATEAU) 209 | * [i－都市再生技術仕様（案）／i-UR Technical Materials](https://www.chisou.go.jp/tiiki/toshisaisei/itoshisaisei/iur/index.html) 210 | * [東京都デジタルツイン実現プロジェクト](https://info.tokyo-digitaltwin.metro.tokyo.lg.jp/) 211 | * [CityJSONに変換するcitygml-toolsの日本語マニュアル](https://github.com/tokyo-digitaltwin/citygml-tools) 212 | * [国土交通データプラットフォーム](https://www.mlit-data.jp/platform/) 213 | * [スマートシティ官民連携プラットフォーム](https://www.mlit.go.jp/scpf/) 214 | 215 | ### 仕様と変換ツール類 216 | * [CityGML](https://www.ogc.org/standards/citygml) 217 | * [CityJSON](https://www.cityjson.org/) 218 | * [FME](https://www.safe.com/fme/) 219 | * [3dcitydb/3dcitydb](https://github.com/3dcitydb/3dcitydb) 220 | 221 | ### CityGML 222 | * [CityGML 3.0のGML仕様のドラフト](https://www.ogc.org/standards/requests/257) 223 | 224 | ### i-UR 225 | * i-UR1.4は名前空間及びXMLSchemaファイルの所在が変更されたことに伴い、i-UR1.5に改定されている (https://www.chisou.go.jp/tiiki/toshisaisei/itoshisaisei/iur) 226 | 227 | ### 3dcitydb 228 | TBD 229 | 230 | ### CityJSON 231 | TBD 232 | 233 | ### OpenStreetMap 234 | * [JA:MLIT PLATEAU/imports outline](https://wiki.openstreetmap.org/wiki/JA:MLIT_PLATEAU/imports_outline) 235 | * [議論：JA talk:MLIT PLATEAU/imports outline](https://wiki.openstreetmap.org/wiki/JA_talk:MLIT_PLATEAU/imports_outline#既存データを編集していたマッパーへの、OSMメッセージ連絡の要否) 236 | * [JA talk:MLIT PLATEAU](https://wiki.openstreetmap.org/wiki/JA_talk:MLIT_PLATEAU) 237 | * [citygml-osm](https://github.com/yuuhayashi/citygml-osm) 238 | * [citygml-osm wiki](https://github.com/yuuhayashi/citygml-osm/wiki/Transformation) 239 | * [Plateau建物データ: OpenStreetMapへのインポート手順（ドラフト）](https://qiita.com/nyampire/items/1c10afdd36750c87154d) 240 | 241 | ### 便利なツール 242 | * [CloudCompare](https://cloudcompare.org/) 243 | * [Meshlab](https://www.meshlab.net/) 244 | * [Blender.jp](https://blender.jp/) 245 | * [Cesium](https://cesium.com/) 246 | * [QGIS](https://qgis.org/) 247 | 248 | ### その他 249 | 250 | 関連情報のメモ 251 | * [Geo関連情報のメモ](./GEOMEMO.md) 252 | 253 | ### 3D都市空間モデルビューワー 254 | 3D都市空間モデルビューワーのサンプルです 255 | 256 | * [3D都市空間モデルビューワー](./3dmodel_viewer/READMD.md) 257 | -------------------------------------------------------------------------------- /cct.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | # coding: utf-8 3 | 4 | import traceback 5 | 6 | import click 7 | 8 | import py_plateau 9 | from py_plateau.city_gml import CityGml, Subset 10 | 11 | 12 | @click.group(help=f"CityGML convert tools (CCT) v{py_plateau.__version__}") 13 | @click.version_option(version=py_plateau.__version__, message="CityGML convert tools (CCT) v%(version)s") 14 | @click.option("-d", "--debug/--no-debug", default=False, help="debug mode") 15 | @click.option("-v", "--verbose", default=False, is_flag=True, help="verbose mode") 16 | @click.pass_context 17 | def main(context, debug, verbose): 18 | context.obj = dict(debug=debug, verbose=verbose) 19 | 20 | 21 | @main.command(help="Convert CityGML file to GeoJSON file") 22 | @click.argument("filename", type=click.Path(exists=True)) # input CityGML file name 23 | @click.option("-o", "--output", "output_path", default="output", help="output path name") 24 | @click.option("-s", "--to-srid", "to_srid", default="4326", help="output SRID(EPSG)") 25 | @click.option("-l", "--lod", "lod", default=2, type=click.IntRange(0, 2), help="output lod type") 26 | @click.option("-sp", "--separate", "separate", default=False, is_flag=True, help="separate the building data") 27 | @click.option("-lonlat", "--lonlat", "lonlat", default=True, is_flag=True, help="swap lon lat order") 28 | @click.pass_context 29 | def geojson(context, filename, output_path, to_srid, lod, separate, lonlat): 30 | """Convert CityGML file to GeoJSON file""" 31 | 32 | try: 33 | if context.obj["verbose"]: 34 | click.echo(f"\nConvert CityGML file to GeoJSON file\n") 35 | click.echo(f" Options:") 36 | click.echo(f' debug={context.obj["debug"]}') 37 | click.echo(f' verbose={context.obj["verbose"]}') 38 | click.echo(f" filename={filename}") 39 | click.echo(f" output_path={output_path}") 40 | click.echo(f" to_srid={to_srid}") 41 | click.echo(f" lod={lod}") 42 | click.echo(f" separate={separate}") 43 | click.echo(f" lonlat={lonlat}") 44 | click.echo(f"\n") 45 | 46 | obj_city_gml = CityGml(filename, Subset.GEOJSON, to_srid, separate=separate, lonlat=lonlat) 47 | if lod == 0: 48 | obj_city_gml.lod0() 49 | elif lod == 1: 50 | obj_city_gml.lod1() 51 | elif lod == 2: 52 | obj_city_gml.lod2() 53 | else: 54 | raise Exception(f"ERROR: lod number = {lod}") 55 | 56 | obj_city_gml.write_file(output_path) 57 | 58 | except Exception as e: 59 | click.echo(e) 60 | traceback.print_exc() 61 | 62 | 63 | @main.command(help="Convert CityGML file to PLY file") 64 | @click.argument("filename", type=click.Path(exists=True)) # input CityGML file name 65 | @click.option("-o", "--output", "output_path", default="output", help="output path name") 66 | @click.option("-s", "--to-srid", "to_srid", default="6677", help="output SRID(EPSG)") 67 | @click.option("-l", "--lod", "lod", default=2, type=click.IntRange(0, 2), help="output lod type") 68 | @click.option("-sp", "--separate", "separate", default=False, is_flag=True, help="separate the building data") 69 | @click.pass_context 70 | def ply(context, filename, output_path, to_srid, lod, separate): 71 | """Convert CityGML file to PLY file""" 72 | try: 73 | if context.obj["verbose"]: 74 | click.echo(f"\nConvert CityGML file to PLY file\n") 75 | click.echo(f" Options:") 76 | click.echo(f' debug={context.obj["debug"]}') 77 | click.echo(f' verbose={context.obj["verbose"]}') 78 | click.echo(f" filename={filename}") 79 | click.echo(f" output_path={output_path}") 80 | click.echo(f" to_srid={to_srid}") 81 | click.echo(f" lod={lod}") 82 | click.echo(f" separate={separate}") 83 | click.echo(f"\n") 84 | 85 | obj_city_gml = CityGml(filename, Subset.PLY, to_srid, separate=separate) 86 | if lod == 0: 87 | obj_city_gml.lod0() 88 | elif lod == 1: 89 | obj_city_gml.lod1() 90 | elif lod == 2: 91 | obj_city_gml.lod2() 92 | else: 93 | raise Exception(f"ERROR: lod number = {lod}") 94 | 95 | obj_city_gml.write_file(output_path) 96 | 97 | except Exception as e: 98 | click.echo(e) 99 | traceback.print_exc() 100 | 101 | 102 | if __name__ == "__main__": 103 | main() 104 | -------------------------------------------------------------------------------- /py_plateau/__init__.py: -------------------------------------------------------------------------------- 1 | __version__ = "0.0.1" 2 | -------------------------------------------------------------------------------- /py_plateau/building.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | # coding: utf-8 3 | 4 | import math 5 | import os 6 | import pdb 7 | from typing import Any, List 8 | 9 | import cv2 10 | import numpy as np 11 | import open3d as o3d 12 | import pyproj 13 | 14 | from .earcut import earcut 15 | 16 | 17 | class BuildingTexture: 18 | """Building texture""" 19 | 20 | def __init__(self): 21 | self.image_uri = "" 22 | self.uv_coords = dict() 23 | 24 | def set_image_uri(self, image_uri): 25 | """Set image URI""" 26 | self.image_uri = image_uri 27 | 28 | def set_uv_coords(self, poly_id, uv_coords): 29 | """Set UV coordinates""" 30 | self.uv_coords[poly_id] = uv_coords 31 | 32 | def search_uv_coords(self, poly_id): 33 | """Search UV coordinates""" 34 | if poly_id in self.uv_coords: 35 | return self.uv_coords[poly_id] 36 | return None 37 | 38 | def convert_image(self, ext=".png", basedir="./"): 39 | """Convert image""" 40 | texture_dir_name = self.image_uri.split("/")[0] 41 | texture_file_name = self.image_uri.split("/")[1] 42 | 43 | converted_file_name = texture_file_name.split(".")[0] + ext 44 | 45 | input_file_path = os.path.join(basedir, self.image_uri) 46 | img = cv2.imread(input_file_path) 47 | 48 | output_file_path = os.path.join(basedir, texture_dir_name, converted_file_name) 49 | cv2.imwrite(output_file_path, img) 50 | 51 | 52 | class BuildingPolygon: 53 | """gml:Polygon""" 54 | 55 | def __init__(self, vertices, poly_id): 56 | # self.verticesはlxml.etree._Elementの要素 57 | self.vertices: Any = vertices 58 | self.poly_id: str = poly_id 59 | 60 | def _str2floats(self): 61 | """x y z -> [x, y, z]""" 62 | return np.array([float(i) for i in self.vertices.text.split(" ")]) 63 | 64 | def get_coords(self): 65 | return self._str2floats().reshape((-1, 3)) 66 | 67 | def check_poly_id(self, poly_id): 68 | """Check poly_id""" 69 | return self.poly_id == poly_id 70 | 71 | 72 | class Building: 73 | """bldg:Building""" 74 | 75 | def __init__(self, from_srid="6697", to_srid="6677", lonlat=False): 76 | # super().__init__() 77 | self.polygons = [] 78 | self.properties = None 79 | 80 | self.vertices = [] 81 | self.triangles = [] 82 | self.triangle_meshes = [] 83 | self.textures = [] 84 | 85 | self.lonlat = lonlat 86 | 87 | # pyproj.Transformer.from_crs(<変換元座標系>, <変換先座標系> [, always_xy]) 88 | self.transformer = pyproj.Transformer.from_crs(f"epsg:{from_srid}", f"epsg:{to_srid}") 89 | 90 | def get_properties(self): 91 | return self.properties 92 | 93 | def set_properties(self, properties): 94 | self.properties = properties 95 | 96 | def set_textures(self, textures): 97 | self.textures = textures 98 | 99 | def get_vertices(self): 100 | return self.vertices 101 | 102 | def get_triangle_mesh(self): 103 | return self.triangle_meshes 104 | 105 | def transform_coordinate(self, latitude, longitude, height): 106 | xx, yy, zz = self.transformer.transform(latitude, longitude, height) 107 | if self.lonlat: 108 | return np.array([yy, xx, zz]) 109 | else: 110 | return np.array([xx, yy, zz]) 111 | 112 | def create_vertices(self, polygons): 113 | self.polygons = polygons 114 | self.vertices = [] 115 | 116 | for plist in polygons: 117 | vertices = [self.transform_coordinate(*x) for x in plist.get_coords()] 118 | if len(vertices) > 0: 119 | self.vertices.append(vertices) 120 | 121 | def find_uv_coords(self, poly_id): 122 | """Find UV coordinates""" 123 | if self.textures: 124 | for texture in self.textures: 125 | uv_coords = texture.search_uv_coords(poly_id) 126 | if uv_coords is not None: 127 | return uv_coords 128 | return None 129 | 130 | def find_target_image_uri(self, poly_id): 131 | """Find target image URI""" 132 | if self.textures: 133 | for texture in self.textures: 134 | if texture.search_uv_coords(poly_id) is not None: 135 | return texture.image_uri 136 | return None 137 | 138 | def create_triangle_meshes(self, polygons: List[BuildingPolygon]): 139 | all_uvs = [] 140 | for poly in polygons: 141 | transformed_polygon = [self.transform_coordinate(*x) for x in poly.get_coords()] 142 | # CityGMLと法線計算時の頂点の取扱順序が異なるため、反転させる 143 | transformed_polygon = transformed_polygon[::-1] 144 | transformed_polygon = np.array(transformed_polygon) 145 | 146 | normal = self.get_normal(transformed_polygon)[0] 147 | poly_2d = np.zeros((transformed_polygon.shape[0], 2)) 148 | for i, vertex in enumerate(transformed_polygon): 149 | xy = self.to_2d(vertex, normal) 150 | poly_2d[i] = xy 151 | 152 | vertices_earcut = earcut(np.array(poly_2d, dtype=np.int64).flatten(), dim=2) 153 | 154 | if len(vertices_earcut) > 0: 155 | vertices_length = len(self.vertices) 156 | self.vertices.extend(transformed_polygon) 157 | triangles = np.array(vertices_earcut).reshape((-1, 3)) 158 | triangles_offset = triangles + vertices_length 159 | self.triangles.extend(triangles_offset) 160 | 161 | # 面に対応するUV座標があるかどうか探し、1つに束ねる 162 | # なければダミーを格納することで、全てのメッシュに何かしらのUV座標を割り当てる 163 | uv_coords = self.find_uv_coords(poly.poly_id) 164 | if uv_coords is not None: 165 | all_uvs.extend(uv_coords) 166 | else: 167 | all_uvs.extend([np.zeros((2)) for _ in range(len(transformed_polygon))]) 168 | 169 | # create triangle mesh by Open3D 170 | triangle_meshes = o3d.geometry.TriangleMesh() 171 | triangle_meshes.vertices = o3d.utility.Vector3dVector(self.vertices) 172 | triangle_meshes.triangles = o3d.utility.Vector3iVector(self.triangles) 173 | 174 | triangles = np.array(self.triangles).flatten() 175 | uvs = [all_uvs[index] for index in triangles] 176 | 177 | image_uri_list = [] 178 | for poly in polygons: 179 | image_uri_list.append(self.find_target_image_uri(poly.poly_id)) 180 | # 重複を除去 181 | image_uri_list = list(set(image_uri_list)) 182 | # 最初の1つ目を抽出 183 | image_uri = image_uri_list[0] 184 | 185 | if image_uri is not None and len(image_uri_list) == 1: 186 | # 拡張子をpngに変更 187 | image_uri = image_uri.replace(".jpg", ".png") 188 | texture_file_path = os.path.join("./", image_uri) 189 | 190 | triangle_meshes.triangle_uvs = o3d.utility.Vector2dVector(np.array(uvs)) 191 | triangle_meshes.triangle_material_ids = o3d.utility.IntVector([0] * len(self.triangles)) 192 | triangle_meshes.textures = [o3d.io.read_image(texture_file_path)] 193 | 194 | # 法線の取得 195 | triangle_meshes.compute_vertex_normals() 196 | 197 | self.triangle_meshes = triangle_meshes 198 | self.polygons = polygons 199 | 200 | # 3つ以上の点を渡して、ポリゴンの法線を求める 201 | @staticmethod 202 | def get_normal(poly): 203 | normal = np.array([0.0, 0.0, 0.0], dtype=np.float64) 204 | 205 | for i, _ in enumerate(poly): 206 | next_index = i + 1 207 | 208 | if next_index == len(poly): 209 | next_index = 0 210 | 211 | point_1 = poly[i] 212 | point_1_x = point_1[0] 213 | point_1_y = point_1[1] 214 | point_1_z = point_1[2] 215 | 216 | point_2 = poly[next_index] 217 | point_2_x = point_2[0] 218 | point_2_y = point_2[1] 219 | point_2_z = point_2[2] 220 | 221 | normal[0] += (point_1_y - point_2_y) * (point_1_z + point_2_z) 222 | normal[1] += (point_1_z - point_2_z) * (point_1_x + point_2_x) 223 | normal[2] += (point_1_x - point_2_x) * (point_1_y + point_2_y) 224 | 225 | if (normal == np.array([0.0, 0.0, 0.0])).all(): 226 | return (normal, False) 227 | 228 | normal = normal / math.sqrt(normal[0] * normal[0] + normal[1] * normal[1] + normal[2] * normal[2]) 229 | return (normal, True) 230 | 231 | # 面と法線を渡して、2次元の座標に変換する 232 | @staticmethod 233 | def to_2d(p, n): 234 | x3 = np.array([1.1, 1.1, 1.1]) 235 | 236 | if (n == x3).all(): 237 | x3 += np.array([1, 2, 3]) 238 | x3 = x3 - np.dot(x3, n) * n 239 | x3 /= math.sqrt((x3**2).sum()) 240 | y3 = np.cross(n, x3) 241 | return (np.dot(p, x3), np.dot(p, y3)) 242 | -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [tool.poetry] 2 | name = "cct" 3 | version = "0.0.1" 4 | description = "CityGML Convert Tools" 5 | authors = ["Hiroshi Omata "] 6 | readme = "README.md" 7 | packages = [ 8 | { include = "./*.py" }, 9 | { include = "py_plateau/*.py" } 10 | ] 11 | 12 | [tool.poetry.dependencies] 13 | python = "^3.9" 14 | tqdm = "^4.64.1" 15 | cjio = "^0.7.6" 16 | triangle = "^20220202" 17 | lxml = "^4.9.1" 18 | opencv-python = "^4.6.0.66" 19 | opencv-contrib-python = "^4.6.0.66" 20 | argparse = "^1.4.0" 21 | scipy = "^1.9.3" 22 | jupyterlab = "^3.4.8" 23 | open3d = "^0.16.0" 24 | trimesh = "^3.15.8" 25 | pyproj = "^3.4.0" 26 | geopandas = "^0.12.1" 27 | cesiumpy = "^0.3.3" 28 | geopy = "2.0.0" 29 | click = "^8.1.3" 30 | 31 | [tool.poetry.group.dev.dependencies] 32 | pytest = "^5.2" 33 | black = "^22.10.0" 34 | isort = "^5.10.1" 35 | pyproject-flake8 = "^5.0.4.post1" 36 | 37 | [build-system] 38 | requires = ["poetry-core"] 39 | build-backend = "poetry.core.masonry.api" 40 | 41 | 42 | [tool.flake8] 43 | max-line-length = 120 44 | max-complexity = 18 45 | extend-ignore = "E203, E266, W503," 46 | 47 | [tool.black] 48 | line-length = 120 49 | target-version = ['py39'] # Pythonのバージョン 50 | include = '\.py$' # 対象ファイル 51 | # skip-string-normalization = true # ''を""に変換しない設定(好みで変えてください) 52 | 53 | # フォーマットしないファイル 54 | exclude = ''' 55 | ( 56 | \.eggs 57 | | \.git 58 | | \.hg 59 | | \.mypy_cache 60 | | \.tox 61 | | venv 62 | | \.idea 63 | | \.vscode 64 | | \.pytest_cache 65 | | _build 66 | | buck-out 67 | | build 68 | | dist 69 | | migrations 70 | | data 71 | | contrib 72 | | output 73 | ) 74 | ''' 75 | 76 | [tool.isort] 77 | profile = "black" 78 | line_length = 120 79 | skip_glob = "*/migrations/*.py" 80 | -------------------------------------------------------------------------------- /tests/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/GeoPythonJP/citygml-convert-tools/25d4fa3e0dd92778c3e797a73064e1f824afc29f/tests/__init__.py -------------------------------------------------------------------------------- /tests/answer/53392633_bldg_4326_lod0_00.geojson: -------------------------------------------------------------------------------- 1 | { 2 | "type": "FeatureCollection", 3 | "crs": { "type": "name", "properties": { "name": 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-3454.81 3.97674 0.866553 -0.499085 -0.000135795 36 | -51835.9 -3447.02 3.97678 0.866553 -0.499085 -0.000135794 37 | -51835.9 -3447.02 10.9088 0.866553 -0.499085 -0.000135795 38 | -51840.4 -3454.81 10.9087 0 0 0 39 | -51835.9 -3447.02 10.9088 0.498915 0.866651 5.19116e-06 40 | -51835.9 -3447.02 3.97678 0.498915 0.866651 5.1895e-06 41 | -51842.6 -3443.12 3.97785 0.498915 0.866651 5.18784e-06 42 | -51842.6 -3443.12 10.9098 0.498915 0.866651 5.1895e-06 43 | -51835.9 -3447.02 10.9088 0 0 0 44 | 3 3 0 1 45 | 3 1 2 3 46 | 3 8 5 6 47 | 3 6 7 8 48 | 3 13 10 11 49 | 3 11 12 13 50 | 3 18 15 16 51 | 3 16 17 18 52 | 3 23 20 21 53 | 3 21 22 23 54 | 3 28 25 26 55 | 3 26 27 28 56 | -------------------------------------------------------------------------------- /tests/conftest.py: -------------------------------------------------------------------------------- 1 | import os 2 | import shutil 3 | from pathlib import Path 4 | 5 | import pytest 6 | 7 | OUTPUT = "output" 8 | 9 | 10 | @pytest.fixture(scope="session", autouse=True) 11 | def scope_session(): 12 | # OUTPUT ディレクトリ削除 13 | basedir = Path(os.path.dirname(os.path.abspath(__file__))) 14 | output_path_name = os.path.join(basedir, OUTPUT) 15 | if os.path.exists(output_path_name): 16 | shutil.rmtree(output_path_name) 17 | -------------------------------------------------------------------------------- /tests/data/53392633_bldg_6697_appearance/hnap0664.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/GeoPythonJP/citygml-convert-tools/25d4fa3e0dd92778c3e797a73064e1f824afc29f/tests/data/53392633_bldg_6697_appearance/hnap0664.jpg -------------------------------------------------------------------------------- /tests/data/53392633_bldg_6697_appearance/hnap0665.jpg: -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- /tests/data/53392633_bldg_6697_appearance/hnap0697.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/GeoPythonJP/citygml-convert-tools/25d4fa3e0dd92778c3e797a73064e1f824afc29f/tests/data/53392633_bldg_6697_appearance/hnap0697.jpg -------------------------------------------------------------------------------- /tests/test_geojson.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | # coding: utf-8 3 | 4 | import filecmp 5 | import glob 6 | import os 7 | from pathlib import Path 8 | 9 | import pytest 10 | 11 | from py_plateau.city_gml import CityGml, Subset 12 | 13 | DATA = "data" 14 | OUTPUT = "output" 15 | ANSWER = "answer" 16 | 17 | 18 | def test_geojson_lod0(): 19 | """GeoJSON LOD0""" 20 | # ベースディレクトリ 21 | basedir = Path(os.path.dirname(os.path.abspath(__file__))) 22 | pathname = os.path.join(basedir, DATA, "53392633_bldg_6697_2_op.gml") 23 | output_path_name = os.path.join(basedir, OUTPUT) 24 | 25 | # 実行 26 | obj_city_gml = CityGml(pathname, Subset.GEOJSON, "4326", lonlat=True) 27 | obj_city_gml.lod0() 28 | obj_city_gml.write_file(output_path_name) 29 | 30 | # ファイル比較 31 | output_answer_file = os.path.join(os.path.join(basedir, ANSWER), "53392633_bldg_4326_lod0.geojson") 32 | output_file = os.path.join(output_path_name, "53392633_bldg_4326_lod0.geojson") 33 | assert filecmp.cmp(output_answer_file, output_file) 34 | 35 | 36 | def test_geojson_separate_lod0(): 37 | """GeoJSON LOD0 (separate)""" 38 | # ベースディレクトリ 39 | basedir = Path(os.path.dirname(os.path.abspath(__file__))) 40 | pathname = os.path.join(basedir, DATA, "53392633_bldg_6697_2_op.gml") 41 | output_path_name = os.path.join(basedir, OUTPUT) 42 | 43 | # 実行 44 | obj_city_gml = CityGml(pathname, Subset.GEOJSON, "4326", separate=True, lonlat=True) 45 | obj_city_gml.lod0() 46 | obj_city_gml.write_file(output_path_name) 47 | 48 | # 出力ファイル数 49 | target_path = os.path.join(basedir, OUTPUT, "53392633_bldg_4326_lod0_*.geojson") 50 | files = glob.glob(target_path, recursive=True) 51 | length = len(files) 52 | assert length == 10 53 | 54 | # ファイル比較 55 | for index in range(length): 56 | output_answer_file = os.path.join(os.path.join(basedir, ANSWER), f"53392633_bldg_4326_lod0_{index:02}.geojson") 57 | output_file = os.path.join(output_path_name, f"53392633_bldg_4326_lod0_{index:02}.geojson") 58 | assert filecmp.cmp(output_answer_file, output_file) 59 | 60 | 61 | def test_geojson_lod1(): 62 | """GeoJSON LOD1""" 63 | # ベースディレクトリ 64 | basedir = Path(os.path.dirname(os.path.abspath(__file__))) 65 | pathname = os.path.join(basedir, DATA, "53392633_bldg_6697_2_op.gml") 66 | output_path_name = os.path.join(basedir, OUTPUT) 67 | 68 | # 実行 69 | obj_city_gml = CityGml(pathname, Subset.GEOJSON, "4326", lonlat=True) 70 | obj_city_gml.lod1() 71 | obj_city_gml.write_file(output_path_name) 72 | 73 | # ファイル比較 74 | output_answer_file = os.path.join(os.path.join(basedir, ANSWER), "53392633_bldg_4326_lod1.geojson") 75 | output_file = os.path.join(output_path_name, "53392633_bldg_4326_lod1.geojson") 76 | assert filecmp.cmp(output_answer_file, output_file) 77 | 78 | 79 | def test_geojson_separate_lod1(): 80 | """GeoJSON LOD1 (separate)""" 81 | # ベースディレクトリ 82 | basedir = Path(os.path.dirname(os.path.abspath(__file__))) 83 | pathname = os.path.join(basedir, DATA, "53392633_bldg_6697_2_op.gml") 84 | output_path_name = os.path.join(basedir, OUTPUT) 85 | 86 | # 実行 87 | obj_city_gml = CityGml(pathname, Subset.GEOJSON, "4326", separate=True, lonlat=True) 88 | obj_city_gml.lod1() 89 | obj_city_gml.write_file(output_path_name) 90 | 91 | # 出力ファイル数 92 | target_path = os.path.join(basedir, OUTPUT, "53392633_bldg_4326_lod1_*.geojson") 93 | files = glob.glob(target_path, recursive=True) 94 | length = len(files) 95 | assert length == 10 96 | 97 | # ファイル比較 98 | for index in range(length): 99 | output_answer_file = os.path.join(os.path.join(basedir, ANSWER), f"53392633_bldg_4326_lod1_{index:02}.geojson") 100 | output_file = os.path.join(output_path_name, f"53392633_bldg_4326_lod1_{index:02}.geojson") 101 | assert filecmp.cmp(output_answer_file, output_file) 102 | 103 | 104 | def test_geojson_lod2(): 105 | """GeoJSON LOD2""" 106 | # ベースディレクトリ 107 | basedir = Path(os.path.dirname(os.path.abspath(__file__))) 108 | pathname = os.path.join(basedir, DATA, "53392633_bldg_6697_2_op.gml") 109 | output_path_name = os.path.join(basedir, OUTPUT) 110 | 111 | # 実行 112 | obj_city_gml = CityGml(pathname, Subset.GEOJSON, "4326", lonlat=True) 113 | obj_city_gml.lod2() 114 | obj_city_gml.write_file(output_path_name) 115 | 116 | # ファイル比較 117 | output_answer_file = os.path.join(os.path.join(basedir, ANSWER), "53392633_bldg_4326_lod2.geojson") 118 | output_file = os.path.join(output_path_name, "53392633_bldg_4326_lod2.geojson") 119 | assert filecmp.cmp(output_answer_file, output_file) 120 | 121 | 122 | def test_geojson_separate_lod2(): 123 | """GeoJSON LOD2 (separate)""" 124 | # ベースディレクトリ 125 | basedir = Path(os.path.dirname(os.path.abspath(__file__))) 126 | pathname = os.path.join(basedir, DATA, "53392633_bldg_6697_2_op.gml") 127 | output_path_name = os.path.join(basedir, OUTPUT) 128 | 129 | # 実行 130 | obj_city_gml = CityGml(pathname, Subset.GEOJSON, "4326", separate=True, lonlat=True) 131 | obj_city_gml.lod2() 132 | obj_city_gml.write_file(output_path_name) 133 | 134 | # 出力ファイル数 135 | target_path = os.path.join(basedir, OUTPUT, "53392633_bldg_4326_lod2_*.geojson") 136 | files = glob.glob(target_path, recursive=True) 137 | length = len(files) 138 | assert length == 10 139 | 140 | # ファイル比較 141 | for index in range(length): 142 | output_answer_file = os.path.join(os.path.join(basedir, ANSWER), f"53392633_bldg_4326_lod2_{index:02}.geojson") 143 | output_file = os.path.join(output_path_name, f"53392633_bldg_4326_lod2_{index:02}.geojson") 144 | assert filecmp.cmp(output_answer_file, output_file) 145 | -------------------------------------------------------------------------------- /tests/test_ply.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | # coding: utf-8 3 | 4 | import filecmp 5 | import glob 6 | import os 7 | from pathlib import Path 8 | 9 | import pytest 10 | 11 | from py_plateau.city_gml import CityGml, Subset 12 | 13 | DATA = "data" 14 | OUTPUT = "output" 15 | ANSWER = "answer" 16 | 17 | 18 | def test_ply_lod0(): 19 | """PLY LOD0""" 20 | # ベースディレクトリ 21 | basedir = Path(os.path.dirname(os.path.abspath(__file__))) 22 | pathname = os.path.join(basedir, DATA, "53392633_bldg_6697_2_op.gml") 23 | output_path_name = os.path.join(basedir, OUTPUT) 24 | 25 | # 実行 26 | obj_city_gml = CityGml(pathname, Subset.PLY, "6677") 27 | obj_city_gml.lod0() 28 | obj_city_gml.write_file(output_path_name) 29 | 30 | # ファイル比較 31 | output_answer_file = os.path.join(os.path.join(basedir, ANSWER), f"53392633_bldg_6677_lod0.ply") 32 | output_file = os.path.join(output_path_name, f"53392633_bldg_6677_lod0.ply") 33 | assert filecmp.cmp(output_answer_file, output_file) 34 | 35 | 36 | def test_ply_separate_lod0(): 37 | """PLY LOD0 (separate)""" 38 | # ベースディレクトリ 39 | basedir = Path(os.path.dirname(os.path.abspath(__file__))) 40 | pathname = os.path.join(basedir, DATA, "53392633_bldg_6697_2_op.gml") 41 | output_path_name = os.path.join(basedir, OUTPUT) 42 | 43 | # 実行 44 | obj_city_gml = CityGml(pathname, Subset.PLY, "6677", separate=True) 45 | obj_city_gml.lod0() 46 | obj_city_gml.write_file(output_path_name) 47 | 48 | # 出力ファイル数 49 | target_path = os.path.join(basedir, OUTPUT, "53392633_bldg_6677_lod0_*.ply") 50 | files = glob.glob(target_path, recursive=True) 51 | length = len(files) 52 | assert length == 10 53 | 54 | # ファイル比較 55 | for index in range(length): 56 | output_answer_file = os.path.join(os.path.join(basedir, ANSWER), f"53392633_bldg_6677_lod0_{index:02}.ply") 57 | output_file = os.path.join(output_path_name, f"53392633_bldg_6677_lod0_{index:02}.ply") 58 | assert filecmp.cmp(output_answer_file, output_file) 59 | 60 | 61 | def test_ply_lod1(): 62 | """PLY LOD1""" 63 | # ベースディレクトリ 64 | basedir = Path(os.path.dirname(os.path.abspath(__file__))) 65 | pathname = os.path.join(basedir, DATA, "53392633_bldg_6697_2_op.gml") 66 | output_path_name = os.path.join(basedir, OUTPUT) 67 | 68 | # 実行 69 | obj_city_gml = CityGml(pathname, Subset.PLY, "6677") 70 | obj_city_gml.lod1() 71 | obj_city_gml.write_file(output_path_name) 72 | 73 | # ファイル比較 74 | output_answer_file = os.path.join(os.path.join(basedir, ANSWER), f"53392633_bldg_6677_lod1.ply") 75 | output_file = os.path.join(output_path_name, f"53392633_bldg_6677_lod1.ply") 76 | assert filecmp.cmp(output_answer_file, output_file) 77 | 78 | 79 | def test_ply_separate_lod1(): 80 | """PLY LOD1 (separate)""" 81 | # ベースディレクトリ 82 | basedir = Path(os.path.dirname(os.path.abspath(__file__))) 83 | pathname = os.path.join(basedir, DATA, "53392633_bldg_6697_2_op.gml") 84 | output_path_name = os.path.join(basedir, OUTPUT) 85 | 86 | # 実行 87 | obj_city_gml = CityGml(pathname, Subset.PLY, "6677", separate=True) 88 | obj_city_gml.lod1() 89 | obj_city_gml.write_file(output_path_name) 90 | 91 | # 出力ファイル数 92 | target_path = os.path.join(basedir, OUTPUT, "53392633_bldg_6677_lod1_*.ply") 93 | files = glob.glob(target_path, recursive=True) 94 | length = len(files) 95 | assert length == 10 96 | 97 | # ファイル比較 98 | for index in range(length): 99 | output_answer_file = os.path.join(os.path.join(basedir, ANSWER), f"53392633_bldg_6677_lod1_{index:02}.ply") 100 | output_file = os.path.join(output_path_name, f"53392633_bldg_6677_lod1_{index:02}.ply") 101 | assert filecmp.cmp(output_answer_file, output_file) 102 | 103 | 104 | def test_ply_lod2(): 105 | """PLY LOD2""" 106 | # ベースディレクトリ 107 | basedir = Path(os.path.dirname(os.path.abspath(__file__))) 108 | pathname = os.path.join(basedir, DATA, "53392633_bldg_6697_2_op.gml") 109 | output_path_name = os.path.join(basedir, OUTPUT) 110 | 111 | # 実行 112 | obj_city_gml = CityGml(pathname, Subset.PLY, "6677") 113 | obj_city_gml.lod2() 114 | obj_city_gml.write_file(output_path_name) 115 | 116 | # ファイル比較 117 | output_answer_file = os.path.join(os.path.join(basedir, ANSWER), f"53392633_bldg_6677_lod2.ply") 118 | output_file = os.path.join(output_path_name, f"53392633_bldg_6677_lod2.ply") 119 | assert filecmp.cmp(output_answer_file, output_file) 120 | 121 | 122 | def test_ply_separate_lod2(): 123 | """PLY LOD2 (separate)""" 124 | # ベースディレクトリ 125 | basedir = Path(os.path.dirname(os.path.abspath(__file__))) 126 | pathname = os.path.join(basedir, DATA, "53392633_bldg_6697_2_op.gml") 127 | output_path_name = os.path.join(basedir, OUTPUT) 128 | 129 | # 実行 130 | obj_city_gml = CityGml(pathname, Subset.PLY, "6677", separate=True) 131 | obj_city_gml.lod2() 132 | obj_city_gml.write_file(output_path_name) 133 | 134 | # 出力ファイル数 135 | target_path = os.path.join(basedir, OUTPUT, "53392633_bldg_6677_lod2_*.ply") 136 | files = glob.glob(target_path, recursive=True) 137 | length = len(files) 138 | assert length == 10 139 | 140 | # ファイル比較 141 | for index in range(length): 142 | output_answer_file = os.path.join(os.path.join(basedir, ANSWER), f"53392633_bldg_6677_lod2_{index:02}.ply") 143 | output_file = os.path.join(output_path_name, f"53392633_bldg_6677_lod2_{index:02}.ply") 144 | assert filecmp.cmp(output_answer_file, output_file) 145 | -------------------------------------------------------------------------------- /tests/test_poly_and_poly_id.py: -------------------------------------------------------------------------------- 1 | import os 2 | from pathlib import Path 3 | 4 | from py_plateau.city_gml import CityGml, Subset 5 | 6 | DATA = "data" 7 | OUTPUT = "output" 8 | ANSWER = "answer" 9 | 10 | 11 | def _make_city_gml_instance(): 12 | """Make CityGml instance""" 13 | basedir = Path(os.path.dirname(os.path.abspath(__file__))) 14 | pathname = os.path.join(basedir, DATA, "53392633_bldg_6697_2_op.gml") 15 | obj_city_gml = CityGml(pathname, Subset.PLY, "6677") 16 | return obj_city_gml 17 | 18 | 19 | def test_compare_polygon_and_id_from_first_element(): 20 | """Whether polygon/id pairs are correct or not""" 21 | # CityGmlのインスタンスを生成 22 | obj_city_gml = _make_city_gml_instance() 23 | obj_city_gml.lod2() 24 | 25 | # 最初の要素を取得 26 | buildings = obj_city_gml.obj_buildings 27 | target = buildings[0] 28 | first_poly = target.polygons[0] 29 | first_poly_id = first_poly.poly_id 30 | first_vertices = first_poly.vertices.text 31 | 32 | test_vertices = "35.533096948566886 139.7963519674318 3.66410811 35.53309215110142 139.79634196185296 3.66408749 35.53312183726169 139.79632067879015 3.6635608 35.53312663453339 139.79633068408438 3.66358141 35.53314158466162 139.79631996558618 3.66331703 35.533175221159944 139.7963901364649 3.66346657 35.533160279972336 139.79640085582636 3.66373085 35.53316408451471 139.7964087906811 3.66374829 35.53313440429897 139.79643008508884 3.66427499 35.533130599460456 139.79642214971136 3.66425755 35.533115953337905 139.79643265736863 3.6645183 35.5330823072676 139.7963624645014 3.66436872 35.533096948566886 139.7963519674318 3.66410811" 33 | 34 | # ポリゴンのidが想定されるものかどうか比較 35 | assert first_poly_id == "poly_HNAP0664_b_0" 36 | # verticesが一致するか比較 37 | assert first_vertices == test_vertices 38 | -------------------------------------------------------------------------------- /tests/test_textures.py: -------------------------------------------------------------------------------- 1 | import os 2 | from pathlib import Path 3 | 4 | import numpy as np 5 | 6 | from py_plateau.city_gml import CityGml, Subset 7 | 8 | DATA = "data" 9 | OUTPUT = "output" 10 | ANSWER = "answer" 11 | 12 | 13 | def test_get_textures(): 14 | # ベースディレクトリ 15 | basedir = Path(os.path.dirname(os.path.abspath(__file__))) 16 | pathname = os.path.join(basedir, DATA, "53392633_bldg_6697_2_op.gml") 17 | 18 | # 実行 19 | obj_city_gml = CityGml(pathname, Subset.PLY, "6677") 20 | textures = obj_city_gml.get_textures() 21 | 22 | # テクスチャ画像の数を確認 23 | num_of_images = len(textures) 24 | assert num_of_images == 10 25 | 26 | # 先頭の要素の画像のファイルパス・id・UV座標を確認 27 | first_image_uri = "53392633_bldg_6697_appearance/hnap0668.jpg" 28 | first_poly_id = "poly_HNAP0668_p4761_3" 29 | first_uv_coords = [ 30 | [0.3808012, 0.3736107], 31 | [0.3808012, 0.5503924], 32 | [0.2627451, 0.5503924], 33 | [0.2627451, 0.3736107], 34 | [0.3808012, 0.3736107], 35 | ] 36 | 37 | first_texture = textures[0] 38 | 39 | assert first_texture.image_uri == first_image_uri 40 | assert list(first_texture.uv_coords.keys())[0] == first_poly_id 41 | assert np.allclose(first_texture.uv_coords[first_poly_id], first_uv_coords) 42 | 43 | # 最後の要素の画像のファイルパス・id・UV座標を確認 44 | last_image_uri = "53392633_bldg_6697_appearance/hnap0697.jpg" 45 | last_poly_id = "poly_HNAP0697_p4760_1" 46 | last_uv_coords = [ 47 | [0.7234043, 0.6249189], 48 | [0.9878542, 0.6249189], 49 | [0.9878542, 1], 50 | [0.7234043, 1], 51 | [0.7234043, 0.6249189], 52 | ] 53 | 54 | last_texture = textures[-1] 55 | 56 | assert last_texture.image_uri == last_image_uri 57 | assert list(last_texture.uv_coords.keys())[-1] == last_poly_id 58 | assert np.allclose(last_texture.uv_coords[last_poly_id], last_uv_coords) 59 | 60 | 61 | def test_search_uv_coords(): 62 | # ベースディレクトリ 63 | basedir = Path(os.path.dirname(os.path.abspath(__file__))) 64 | pathname = os.path.join(basedir, DATA, "53392633_bldg_6697_2_op.gml") 65 | 66 | # 実行 67 | obj_city_gml = CityGml(pathname, Subset.PLY, "6677") 68 | textures = obj_city_gml.get_textures() 69 | 70 | # テクスチャ画像の数を確認 71 | num_of_images = len(textures) 72 | assert num_of_images == 10 73 | 74 | # 先頭の要素の画像のファイルパス・id・UV座標を確認 75 | first_image_uri = "53392633_bldg_6697_appearance/hnap0668.jpg" 76 | first_poly_id = "poly_HNAP0668_p4761_3" 77 | 78 | first_texture = textures[0] 79 | 80 | # 存在するポリゴンIDを指定 81 | assert first_texture.image_uri == first_image_uri 82 | assert first_texture.search_uv_coords(first_poly_id) is not None 83 | 84 | # 存在しないidを指定した場合 85 | assert first_texture.search_uv_coords("test") is None 86 | -------------------------------------------------------------------------------- /tests/test_transform_coordinate.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | # coding: utf-8 3 | 4 | import pytest 5 | from pytest import approx 6 | 7 | from py_plateau.building import Building 8 | 9 | line_HNAP0664_b_0 = [ 10 | [35.533096948566886, 139.7963519674318, 3.66410811], 11 | [35.53309215110142, 139.79634196185296, 3.66408749], 12 | [35.53312183726169, 139.79632067879015, 3.6635608], 13 | [35.53312663453339, 139.79633068408438, 3.66358141], 14 | [35.53314158466162, 139.79631996558618, 3.66331703], 15 | [35.533175221159944, 139.7963901364649, 3.66346657], 16 | [35.533160279972336, 139.79640085582636, 3.66373085], 17 | [35.53316408451471, 139.7964087906811, 3.66374829], 18 | [35.53313440429897, 139.79643008508884, 3.66427499], 19 | [35.533130599460456, 139.79642214971136, 3.66425755], 20 | [35.533115953337905, 139.79643265736863, 3.6645183], 21 | [35.5330823072676, 139.7963624645014, 3.66436872], 22 | [35.533096948566886, 139.7963519674318, 3.66410811], 23 | ] 24 | 25 | line_HNAP0664_b_0_a = [ 26 | [-51799.26961284785, -3353.5845957979486, 3.66410811], 27 | [-51799.801499817906, -3354.4921323657695, 3.66408749], 28 | [-51796.50741412865, -3356.420910066282, 3.6635608], 29 | [-51795.97554883826, -3355.5133995360065, 3.66358141], 30 | [-51794.316627467706, -3356.484763087701, 3.66331703], 31 | [-51790.58740524861, -3350.1200557466364, 3.66346657], 32 | [-51792.24533409834, -3349.148612766896, 3.66373085], 33 | [-51791.82353042733, -3348.428898056156, 3.66374829], 34 | [-51795.11695531808, -3346.499089385544, 3.66427499], 35 | [-51795.538791977975, -3347.218851687374, 3.66425755], 36 | [-51797.1639790087, -3346.2665933643902, 3.6645183], 37 | [-51800.89426509801, -3352.6332981565643, 3.66436872], 38 | [-51799.26961284785, -3353.5845957979486, 3.66410811], 39 | ] 40 | 41 | 42 | def test_transform_coordinate(): 43 | from_srid = "6697" 44 | to_srid = "6677" 45 | 46 | obj_building = Building(from_srid, to_srid) 47 | 48 | for index, row in enumerate(line_HNAP0664_b_0): 49 | latitude = row[0] 50 | longitude = row[1] 51 | height = row[2] 52 | xx, yy, zz = obj_building.transform_coordinate(latitude, longitude, height) 53 | 54 | xx_a = line_HNAP0664_b_0_a[index][0] 55 | yy_a = line_HNAP0664_b_0_a[index][1] 56 | zz_a = line_HNAP0664_b_0_a[index][2] 57 | 58 | assert xx == approx(xx_a), f"xx={xx}, xx_a={xx_a}" 59 | assert yy == approx(yy_a), f"yy={yy}, zz_a={yy_a}" 60 | assert zz == approx(zz_a), f"zz={zz}, zz_a={zz_a}" 61 | 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