example for leaflet-rastercoords

├── .gitignore ├── test.png ├── test ├── karta.jpg ├── images │ ├── marker-shadow.png │ ├── marker-icon-red.png │ └── marker-icon-red-2x.png ├── png2jpg.sh ├── createtiles.sh ├── index.html ├── rastercoords.js ├── geojson.js └── index.js ├── setup.py ├── LICENSE ├── README.md └── gdal2tiles.py /.gitignore: -------------------------------------------------------------------------------- 1 | /test/tiles 2 | /tmp 3 | -------------------------------------------------------------------------------- /test.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/commenthol/gdal2tiles-leaflet/HEAD/test.png -------------------------------------------------------------------------------- /test/karta.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/commenthol/gdal2tiles-leaflet/HEAD/test/karta.jpg -------------------------------------------------------------------------------- /test/images/marker-shadow.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/commenthol/gdal2tiles-leaflet/HEAD/test/images/marker-shadow.png -------------------------------------------------------------------------------- /test/images/marker-icon-red.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/commenthol/gdal2tiles-leaflet/HEAD/test/images/marker-icon-red.png -------------------------------------------------------------------------------- /test/images/marker-icon-red-2x.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/commenthol/gdal2tiles-leaflet/HEAD/test/images/marker-icon-red-2x.png -------------------------------------------------------------------------------- /test/png2jpg.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | 3 | #### 4 | # sample file to convert from png to jpg using imagemagick convert 5 | # 6 | 7 | for png in `(find tiles -name "*.png")` 8 | do 9 | jpg=`echo $png | sed "s/png$/jpg/"` 10 | echo "--- $png" 11 | convert $png -quality 80 $jpg 12 | rm $png 13 | done 14 | -------------------------------------------------------------------------------- /setup.py: -------------------------------------------------------------------------------- 1 | from setuptools import setup 2 | 3 | setup( 4 | name='gdal2tiles_leaflet', 5 | version='0.2.0', 6 | description='Generate raster image tiles for use with leaflet', 7 | url='https://github.com/commenthol/gdal2tiles-leaflet', 8 | license='MIT', 9 | py_modules=['gdal2tiles-multiprocess', 'gdal2tiles'], 10 | install_requires=[ 11 | 'gdal', 12 | ], 13 | ) 14 | -------------------------------------------------------------------------------- /test/createtiles.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | 3 | rm -rf tiles 4 | 5 | export GDAL_ALLOW_LARGE_LIBJPEG_MEM_ALLOC=1 6 | 7 | python=python3 8 | 9 | case $1 in 10 | mpz) 11 | $python ../gdal2tiles-multiprocess.py -l -p raster -z 0-5 -w none karta.jpg tiles 12 | ;; 13 | mp) 14 | $python ../gdal2tiles-multiprocess.py -l -p raster -w none karta.jpg tiles 15 | ;; 16 | z) 17 | $python ../gdal2tiles.py -l -p raster -w none karta.jpg -z 0-5 tiles 18 | ;; 19 | *) 20 | $python ../gdal2tiles.py -l -p raster -w none karta.jpg tiles 21 | ;; 22 | esac 23 | -------------------------------------------------------------------------------- /test/index.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | example for leaflet-rastercoords 5 | 6 | 7 | 8 | 17 | 18 | 19 |

20 | 21 | 22 | 23 | 24 | 25 | 26 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | The MIT License (MIT) 2 | 3 | Copyright (c) 2016, commenthol 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy of 6 | this software and associated documentation files (the "Software"), to deal in 7 | the Software without restriction, including without limitation the rights to 8 | use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of 9 | the Software, and to permit persons to whom the Software is furnished to do so, 10 | subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS 17 | FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR 18 | COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER 19 | IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN 20 | CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. 21 | -------------------------------------------------------------------------------- /test/rastercoords.js: -------------------------------------------------------------------------------- 1 | /** 2 | * leaflet plugin for plain image map projection 3 | * @copyright 2016- commenthol 4 | * @license MIT 5 | */ 6 | /* globals define */ 7 | 8 | ;(function (factory) { 9 | var L 10 | if (typeof define === 'function' && define.amd) { 11 | // AMD 12 | define(['leaflet'], factory) 13 | } else if (typeof module !== 'undefined') { 14 | // Node/CommonJS 15 | L = require('leaflet') 16 | module.exports = factory(L) 17 | } else { 18 | // Browser globals 19 | if (typeof window.L === 'undefined') { 20 | throw new Error('Leaflet must be loaded first') 21 | } 22 | factory(window.L) 23 | } 24 | }(function (L) { 25 | /** 26 | * L.RasterCoords 27 | * @param {L.map} map - the map used 28 | * @param {Array} imgsize - [ width, height ] image dimensions 29 | * @param {Number} [tilesize] - tilesize in pixels. Default=256 30 | */ 31 | L.RasterCoords = function (map, imgsize, tilesize) { 32 | this.map = map 33 | this.width = imgsize[0] 34 | this.height = imgsize[1] 35 | this.tilesize = tilesize || 256 36 | this.zoom = this.zoomLevel() 37 | if (this.width && this.height) { 38 | this.setMaxBounds() 39 | } 40 | } 41 | 42 | L.RasterCoords.prototype = { 43 | /** 44 | * calculate accurate zoom level for the given image size 45 | */ 46 | zoomLevel: function () { 47 | return Math.ceil( 48 | Math.log( 49 | Math.max(this.width, this.height) / 50 | this.tilesize 51 | ) / Math.log(2) 52 | ) 53 | }, 54 | /** 55 | * unproject `coords` to the raster coordinates used by the raster image projection 56 | * @param {Array} coords - [ x, y ] 57 | * @return {L.LatLng} - internal coordinates 58 | */ 59 | unproject: function (coords) { 60 | return this.map.unproject(coords, this.zoom) 61 | }, 62 | /** 63 | * project `coords` back to image coordinates 64 | * @param {Array} coords - [ x, y ] 65 | * @return {L.LatLng} - image coordinates 66 | */ 67 | project: function (coords) { 68 | return this.map.project(coords, this.zoom) 69 | }, 70 | /** 71 | * sets the max bounds on map 72 | */ 73 | setMaxBounds: function () { 74 | var southWest = this.unproject([0, this.height]) 75 | var northEast = this.unproject([this.width, 0]) 76 | this.map.setMaxBounds(new L.LatLngBounds(southWest, northEast)) 77 | } 78 | } 79 | 80 | return L.RasterCoords 81 | })) 82 | ; // eslint-disable-line semi 83 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # gdal2tiles-leaflet 2 | 3 | > Generate raster image tiles for use with leaflet. 4 | 5 | [Example][example] in action. 6 | 7 | This is a modified version of [gdal2tiles.py][] which adds support for raster images as plain 2D maps in [leafletjs][]. 8 | 9 | It adds the option `-l` or `--leaflet` to generate the resulting images with the reference point `[0,0]` in the upper-left (North-West) corner, opposed to the standard behaviour for TMS tiles using the lower-left (South-East) corner. 10 | 11 | Together with the small [leafletjs][] plugin [leaflet-rastercoords][] you'll be able to add markers at the correct position using the (x, y) coordinates of the full-size image. 12 | 13 | ## Prerequisites 14 | 15 | On Debian style OS: 16 | 17 | sudo apt install python-gdal 18 | 19 | for python3 20 | 21 | sudo apt install python3-gdal 22 | 23 | for others give your search-engine a try... 24 | 25 | ## Basic usage 26 | 27 | ```` 28 | $ gdal2tiles.py -l -p raster -z 0-5 -w none 29 | ```` 30 | 31 | Check [test/createtiles.sh](test/createtiles.sh) for usage. 32 | 33 | If the `-z` option is omitted then the tool considers the min. zoom level otherwise note... 34 | 35 | **Note:** The min zoom level for tile generation must be greater or 36 | equal to `log2(max(width, height)/tilesize)` 37 | 38 | Assuming an image with 2000x3000 pixels: 39 | 40 | ```` 41 | # take the larger dimension -> here height = 3000px 42 | $ echo "l(3000/256)/l(2)" | bc -l 43 | # 3.55 --> min zoomlevel for tile generation is 4 44 | # means: `gdal2tiles.py -l -p raster -z 0-2 ...` 45 | # \__ is not allowed 46 | # correct usage 47 | $ gdal2tiles -l -p raster -z 0-4 ... 48 | ```` 49 | 50 | ## Multicore usage 51 | 52 | The same works with multicore support, thanks to [gdal2tiles-Ticket-4379][]. 53 | 54 | ```` 55 | $ gdal2tiles-multiprocess.py -l -p raster -z 0-5 -w none 56 | ```` 57 | 58 | ## Usage with Leaflet 59 | 60 | To use the generated tiles with Leaflet there is a small plugin to correctly set the required projection for raster images. 61 | Please refer to the documention at [leaflet-rastercoords][]. 62 | 63 | ## Example 64 | 65 | To run the example you'll need to generate the tiles for the large image first. 66 | 67 | ```` 68 | $ cd test 69 | $ ./createtiles.sh 70 | $ open index.html 71 | ```` 72 | 73 | Then open `index.html` in a browser. 74 | 75 | [![The sample in test](test.png)][example] 76 | 77 | Or see it [here][example] in action. 78 | 79 | ## Contribution and License Agreement 80 | 81 | If you contribute code to this project, you are implicitly allowing your 82 | code to be distributed under the respective license. You are also implicitly 83 | verifying that all code is your original work or correctly attributed 84 | with the source of its origin and licence. 85 | 86 | ## License 87 | 88 | Modifications and samples are [MIT licensed][LICENSE]. 89 | 90 | [gdal2tiles.py][]: (MIT licensed) 91 | * Copyright (c) 2008, Klokan Petr Pridal 92 | * Copyright (c) 2010-2013, Even Rouault 93 | 94 | ## References 95 | 96 | 97 | 98 | * [/gdal-1.11.1/swig/python/scripts/gdal2tiles.py][gdal2tiles.py] 99 | * [example][example] 100 | * [gdal2tiles-Ticket-4379][gdal2tiles-Ticket-4379] 101 | * [leaflet-rastercoords][leaflet-rastercoords] 102 | * [leafletjs][leafletjs] 103 | * [LICENSE][LICENSE] 104 | 105 | 106 | 107 | [LICENSE]: ./LICENSE 108 | [leafletjs]: http://leafletjs.com 109 | [leaflet-rastercoords]: https://github.com/commenthol/leaflet-rastercoords 110 | [gdal2tiles.py]: http://download.osgeo.org/gdal/1.11.1/gdal-1.11.1.tar.gz "/gdal-1.11.1/swig/python/scripts/gdal2tiles.py" 111 | [gdal2tiles-Ticket-4379]: http://trac.osgeo.org/gdal/ticket/4379 112 | [example]: https://commenthol.github.io/leaflet-rastercoords/ 113 | -------------------------------------------------------------------------------- /test/geojson.js: -------------------------------------------------------------------------------- 1 | ;(function (window) { 2 | // geoJson definitions for country 3 | window.countries = [{ 4 | type: 'Feature', 5 | properties: { 6 | name: 'Iceland' 7 | }, 8 | geometry: { 9 | type: 'Point', 10 | coordinates: [1258, 911] 11 | } 12 | }, { 13 | type: 'Feature', 14 | properties: { 15 | name: 'Ireland' 16 | }, 17 | geometry: { 18 | type: 'Point', 19 | coordinates: [1324, 1580] 20 | } 21 | }, { 22 | type: 'Feature', 23 | properties: { 24 | name: 'England' 25 | }, 26 | geometry: { 27 | type: 'Point', 28 | coordinates: [1498, 1662] 29 | } 30 | }, { 31 | type: 'Feature', 32 | properties: { 33 | name: 'France' 34 | }, 35 | geometry: { 36 | type: 'Point', 37 | coordinates: [1608, 1918] 38 | } 39 | }, { 40 | type: 'Feature', 41 | properties: { 42 | name: 'Italia' 43 | }, 44 | geometry: { 45 | type: 'Point', 46 | coordinates: [1923, 2093] 47 | } 48 | }, { 49 | type: 'Feature', 50 | properties: { 51 | name: 'Hispania' 52 | }, 53 | geometry: { 54 | type: 'Point', 55 | coordinates: [1374, 2148] 56 | } 57 | }] 58 | 59 | // geoJson definitions 60 | window.geoInfo = [{ 61 | 'type': 'Feature', 62 | 'properties': { 63 | 'name': 'Mare Germanicum' 64 | }, 65 | 'geometry': { 66 | 'type': 'Point', 67 | 'coordinates': [1589, 1447] 68 | } 69 | }, { 70 | 'type': 'Feature', 71 | 'properties': { 72 | 'name': 'Mare Balticum' 73 | }, 74 | 'geometry': { 75 | 'type': 'Point', 76 | 'coordinates': [2090, 1407] 77 | } 78 | }, { 79 | 'type': 'Feature', 80 | 'properties': { 81 | 'name': 'Mare Mediteraneum' 82 | }, 83 | 'geometry': { 84 | 'type': 'Point', 85 | 'coordinates': [2028, 2453] 86 | } 87 | }, { 88 | 'type': 'Feature', 89 | 'properties': { 90 | 'name': 'Mare Maggiore' 91 | }, 92 | 'geometry': { 93 | 'type': 'Point', 94 | 'coordinates': [2623, 1918] 95 | } 96 | }] 97 | 98 | // polygon 99 | window.polygon = [{ 100 | x: 1528.5, 101 | y: 1524 102 | }, { 103 | x: 1532, 104 | y: 1571 105 | }, { 106 | x: 1559.5, 107 | y: 1620.5 108 | }, { 109 | x: 1541, 110 | y: 1612 111 | }, { 112 | x: 1562.5, 113 | y: 1634.5 114 | }, { 115 | x: 1548.5, 116 | y: 1655 117 | }, { 118 | x: 1567.5, 119 | y: 1651 120 | }, { 121 | x: 1598.5, 122 | y: 1666.5 123 | }, { 124 | x: 1576, 125 | y: 1713 126 | }, { 127 | x: 1562, 128 | y: 1718 129 | }, { 130 | x: 1584, 131 | y: 1722.5 132 | }, { 133 | x: 1586.5, 134 | y: 1736.5 135 | }, { 136 | x: 1550.5, 137 | y: 1750.5 138 | }, { 139 | x: 1505, 140 | y: 1743.5 141 | }, { 142 | x: 1505.5, 143 | y: 1752 144 | }, { 145 | x: 1493.5, 146 | y: 1754.5 147 | }, { 148 | x: 1480, 149 | y: 1745.5 150 | }, { 151 | x: 1462, 152 | y: 1742 153 | }, { 154 | x: 1448.5, 155 | y: 1733 156 | }, { 157 | x: 1431.5, 158 | y: 1737.5 159 | }, { 160 | x: 1421, 161 | y: 1755 162 | }, { 163 | x: 1403, 164 | y: 1740.5 165 | }, { 166 | x: 1377.5, 167 | y: 1741.5 168 | }, { 169 | x: 1370.5, 170 | y: 1751 171 | }, { 172 | x: 1349.5, 173 | y: 1733 174 | }, { 175 | x: 1367.5, 176 | y: 1725 177 | }, { 178 | x: 1400, 179 | y: 1715 180 | }, { 181 | x: 1417.5, 182 | y: 1704.5 183 | }, { 184 | x: 1445, 185 | y: 1709 186 | }, { 187 | x: 1463, 188 | y: 1696 189 | }, { 190 | x: 1436.5, 191 | y: 1703 192 | }, { 193 | x: 1427, 194 | y: 1690 195 | }, { 196 | x: 1415, 197 | y: 1679 198 | }, { 199 | x: 1397.5, 200 | y: 1683 201 | }, { 202 | x: 1386.5, 203 | y: 1667.5 204 | }, { 205 | x: 1424.5, 206 | y: 1655 207 | }, { 208 | x: 1428, 209 | y: 1632 210 | }, { 211 | x: 1406.5, 212 | y: 1636 213 | }, { 214 | x: 1435.5, 215 | y: 1613 216 | }, { 217 | x: 1457, 218 | y: 1614 219 | }, { 220 | x: 1467, 221 | y: 1593.5 222 | }, { 223 | x: 1457.5, 224 | y: 1572.5 225 | }, { 226 | x: 1467.5, 227 | y: 1551 228 | }, { 229 | x: 1528.5, 230 | y: 1524 231 | }] 232 | }(window)) 233 | -------------------------------------------------------------------------------- /test/index.js: -------------------------------------------------------------------------------- 1 | /* global L */ 2 | ;(function (window) { 3 | function init (mapid) { 4 | var minZoom = 0 5 | var maxZoom = 5 6 | var img = [ 7 | 3831, // original width of image `karta.jpg` 8 | 3101 // original height of image 9 | ] 10 | 11 | // create the map 12 | var map = L.map(mapid, { 13 | minZoom: minZoom, 14 | maxZoom: maxZoom 15 | }) 16 | 17 | // assign map and image dimensions 18 | var rc = new L.RasterCoords(map, img) 19 | 20 | // set the view on a marker ... 21 | map.setView(rc.unproject([1589, 1447]), 4) 22 | 23 | // add layer control object 24 | L.control.layers({}, { 25 | 'Polygon': layerPolygon(map, rc), 26 | 'Countries': layerCountries(map, rc), 27 | 'Bounds': layerBounds(map, rc, img), 28 | 'Info': layerGeo(map, rc), 29 | 'Circles': layerCircles(map, rc) 30 | }).addTo(map) 31 | 32 | // the tile layer containing the image generated with gdal2tiles --leaflet ... 33 | L.tileLayer('./tiles/{z}/{x}/{y}.png', { 34 | noWrap: true, 35 | attribution: 'Map ' + 37 | 'Karta över Europa, 1672 - Skoklosters under ' + 38 | 'CC0' 39 | }).addTo(map) 40 | } 41 | 42 | /** 43 | * layer with markers 44 | */ 45 | function layerBounds (map, rc, img) { 46 | // set marker at the image bound edges 47 | var layerBounds = L.layerGroup([ 48 | L.marker(rc.unproject([0, 0])).bindPopup('[0,0]'), 49 | L.marker(rc.unproject(img)).bindPopup(JSON.stringify(img)) 50 | ]) 51 | map.addLayer(layerBounds) 52 | 53 | // set markers on click events in the map 54 | map.on('click', function (event) { 55 | // to obtain raster coordinates from the map use `project` 56 | var coord = rc.project(event.latlng) 57 | // to set a marker, ... in raster coordinates in the map use `unproject` 58 | var marker = L.marker(rc.unproject(coord)) 59 | .addTo(layerBounds) 60 | marker.bindPopup('[' + Math.floor(coord.x) + ',' + Math.floor(coord.y) + ']') 61 | .openPopup() 62 | }) 63 | 64 | return layerBounds 65 | } 66 | 67 | /** 68 | * layer using geoJson data for countries adding a circle marker 69 | */ 70 | function layerCountries (map, rc) { 71 | var layerCountries = L.geoJson(window.countries, { 72 | // correctly map the geojson coordinates on the image 73 | coordsToLatLng: function (coords) { 74 | return rc.unproject(coords) 75 | }, 76 | // add a popup content to the marker 77 | onEachFeature: function (feature, layer) { 78 | if (feature.properties && feature.properties.name) { 79 | layer.bindPopup(feature.properties.name) 80 | } 81 | }, 82 | pointToLayer: function (feature, latlng) { 83 | return L.circleMarker(latlng, { 84 | radius: 8, 85 | fillColor: '#800080', 86 | color: '#D107D1', 87 | weight: 1, 88 | opacity: 1, 89 | fillOpacity: 0.8 90 | }) 91 | } 92 | }) 93 | map.addLayer(layerCountries) 94 | return layerCountries 95 | } 96 | 97 | /** 98 | * layer with red markers 99 | */ 100 | function layerGeo (map, rc) { 101 | var imgDir = 'images/' 102 | var redMarker = L.icon({ 103 | iconUrl: imgDir + 'marker-icon-red.png', 104 | iconRetinaUrl: imgDir + 'marker-icon-red-2x.png', 105 | iconSize: [25, 41], 106 | iconAnchor: [12, 41], 107 | popupAnchor: [-0, -31], 108 | shadowUrl: imgDir + 'marker-shadow.png', 109 | shadowSize: [41, 41], 110 | shadowAnchor: [14, 41] 111 | }) 112 | var layerGeo = L.geoJson(window.geoInfo, { 113 | // correctly map the geojson coordinates on the image 114 | coordsToLatLng: function (coords) { 115 | return rc.unproject(coords) 116 | }, 117 | // add a popup content to the marker 118 | onEachFeature: function (feature, layer) { 119 | if (feature.properties && feature.properties.name) { 120 | layer.bindPopup(feature.properties.name) 121 | } 122 | }, 123 | pointToLayer: function (feature, latlng) { 124 | return L.marker(latlng, { 125 | icon: redMarker 126 | }) 127 | } 128 | }) 129 | map.addLayer(layerGeo) 130 | return layerGeo 131 | } 132 | 133 | /** 134 | * layer drawing a polygon 135 | */ 136 | function layerPolygon (map, rc) { 137 | var points = window.polygon.map(function (point) { 138 | return rc.unproject([point.x, point.y]) 139 | }) 140 | var layerPolygon = L.polygon([points]) 141 | map.addLayer(layerPolygon) 142 | return layerPolygon 143 | } 144 | 145 | /** 146 | * layer drawing some cicles 147 | */ 148 | function layerCircles (map, rc) { 149 | /* 150 | // using circle may cause displaying a ellipse at the edges of the image 151 | // radius is painful to adjust - simply don't use 152 | const circle = L.circle(rc.unproject([200, 1000]), { radius: 1e6 }) 153 | */ 154 | 155 | /* 156 | // drawing a circle with a polyline 157 | // Not so nice because of the visible steps 158 | function circlePoints ([x, y], r, steps = 360) { 159 | var p = [] 160 | for (var i = 0; i < steps; i++) { 161 | p.push(rc.unproject([ 162 | (x + r * Math.cos(2 * Math.PI * i / steps)), 163 | (y + r * Math.sin(2 * Math.PI * i / steps)) 164 | ])) 165 | } 166 | return p 167 | } 168 | const polyline = L.polygon([circlePoints([200, 200], 200)], { 169 | fillColor: '#3388ff', 170 | color: '#fb0000' 171 | }) 172 | */ 173 | 174 | // Custom marker prototype - credits to Arkensor 175 | L.CircleMarkerScaling = L.CircleMarker.extend({ 176 | _project: function () { 177 | this._point = this._map.latLngToLayerPoint(this._latlng); 178 | this._radius = 2 * this.options.radius * this._map.getZoomScale(this._map.getZoom(), this._map.getMaxZoom()); 179 | this._updateBounds(); 180 | } 181 | }) 182 | L.circleMarkerScaling = function (latlng, options) { 183 | return new L.CircleMarkerScaling(latlng, options); 184 | } 185 | 186 | const custom = L.circleMarkerScaling(rc.unproject([200, 200]), { 187 | radius: 200, 188 | fillColor: '#3388ff', 189 | color: '#fbff2c', 190 | }) 191 | 192 | const layer = L.featureGroup([/*circle, polyline,*/ custom]) 193 | map.addLayer(layer) 194 | return layer 195 | } 196 | 197 | init('map') 198 | }(window)) 199 | -------------------------------------------------------------------------------- /gdal2tiles.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/python 2 | # -*- coding: utf-8 -*- 3 | 4 | # ****************************************************************************** 5 | # $Id: gdal2tiles.py 27349 2014-05-16 18:58:51Z rouault $ 6 | # 7 | # Project: Google Summer of Code 2007, 2008 (http://code.google.com/soc/) 8 | # Support: BRGM (http://www.brgm.fr) 9 | # Purpose: Convert a raster into TMS (Tile Map Service) tiles in a directory. 10 | # - generate Google Earth metadata (KML SuperOverlay) 11 | # - generate simple HTML viewer based on Google Maps and OpenLayers 12 | # - support of global tiles (Spherical Mercator) for compatibility 13 | # with interactive web maps a la Google Maps 14 | # Author: Klokan Petr Pridal, klokan at klokan dot cz 15 | # Web: http://www.klokan.cz/projects/gdal2tiles/ 16 | # GUI: http://www.maptiler.org/ 17 | # 18 | ############################################################################### 19 | # Copyright (c) 2008, Klokan Petr Pridal 20 | # Copyright (c) 2010-2013, Even Rouault 21 | # 22 | # Permission is hereby granted, free of charge, to any person obtaining a 23 | # copy of this software and associated documentation files (the "Software"), 24 | # to deal in the Software without restriction, including without limitation 25 | # the rights to use, copy, modify, merge, publish, distribute, sublicense, 26 | # and/or sell copies of the Software, and to permit persons to whom the 27 | # Software is furnished to do so, subject to the following conditions: 28 | # 29 | # The above copyright notice and this permission notice shall be included 30 | # in all copies or substantial portions of the Software. 31 | # 32 | # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS 33 | # OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 34 | # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL 35 | # THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 36 | # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING 37 | # FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER 38 | # DEALINGS IN THE SOFTWARE. 39 | # ****************************************************************************** 40 | 41 | import sys 42 | 43 | try: 44 | from osgeo import gdal 45 | from osgeo import osr 46 | except: 47 | import gdal 48 | print('You are using "old gen" bindings. gdal2tiles needs "new gen" bindings.') 49 | sys.exit(1) 50 | 51 | import os 52 | import math 53 | 54 | try: 55 | from PIL import Image 56 | import numpy 57 | import osgeo.gdal_array as gdalarray 58 | except: 59 | 60 | # 'antialias' resampling is not available 61 | 62 | pass 63 | 64 | __version__ = '$Id: gdal2tiles.py 27349 2014-05-16 18:58:51Z rouault $' 65 | 66 | resampling_list = ( 67 | 'average', 68 | 'near', 69 | 'bilinear', 70 | 'cubic', 71 | 'cubicspline', 72 | 'lanczos', 73 | 'antialias', 74 | ) 75 | profile_list = ('mercator', 'geodetic', 'raster') # ,'zoomify') 76 | webviewer_list = ('all', 'google', 'openlayers', 'none') 77 | 78 | # ============================================================================= 79 | # ============================================================================= 80 | # ============================================================================= 81 | 82 | __doc__globalmaptiles = \ 83 | """ 84 | globalmaptiles.py 85 | 86 | Global Map Tiles as defined in Tile Map Service (TMS) Profiles 87 | ============================================================== 88 | 89 | Functions necessary for generation of global tiles used on the web. 90 | It contains classes implementing coordinate conversions for: 91 | 92 | - GlobalMercator (based on EPSG:900913 = EPSG:3785) 93 | for Google Maps, Yahoo Maps, Bing Maps compatible tiles 94 | - GlobalGeodetic (based on EPSG:4326) 95 | for OpenLayers Base Map and Google Earth compatible tiles 96 | 97 | More info at: 98 | 99 | http://wiki.osgeo.org/wiki/Tile_Map_Service_Specification 100 | http://wiki.osgeo.org/wiki/WMS_Tiling_Client_Recommendation 101 | http://msdn.microsoft.com/en-us/library/bb259689.aspx 102 | http://code.google.com/apis/maps/documentation/overlays.html#Google_Maps_Coordinates 103 | 104 | Created by Klokan Petr Pridal on 2008-07-03. 105 | Google Summer of Code 2008, project GDAL2Tiles for OSGEO. 106 | 107 | In case you use this class in your product, translate it to another language 108 | or find it usefull for your project please let me know. 109 | My email: klokan at klokan dot cz. 110 | I would like to know where it was used. 111 | 112 | Class is available under the open-source GDAL license (www.gdal.org). 113 | """ 114 | 115 | import math 116 | 117 | MAXZOOMLEVEL = 32 118 | 119 | 120 | class GlobalMercator(object): 121 | 122 | """ 123 | TMS Global Mercator Profile 124 | --------------------------- 125 | 126 | Functions necessary for generation of tiles in Spherical Mercator projection, 127 | EPSG:900913 (EPSG:gOOglE, Google Maps Global Mercator), EPSG:3785, OSGEO:41001. 128 | 129 | Such tiles are compatible with Google Maps, Bing Maps, Yahoo Maps, 130 | UK Ordnance Survey OpenSpace API, ... 131 | and you can overlay them on top of base maps of those web mapping applications. 132 | 133 | Pixel and tile coordinates are in TMS notation (origin [0,0] in bottom-left). 134 | 135 | What coordinate conversions do we need for TMS Global Mercator tiles:: 136 | 137 | LatLon <-> Meters <-> Pixels <-> Tile 138 | 139 | WGS84 coordinates Spherical Mercator Pixels in pyramid Tiles in pyramid 140 | lat/lon XY in metres XY pixels Z zoom XYZ from TMS 141 | EPSG:4326 EPSG:900913 142 | .----. --------- -- TMS 143 | / \ <-> | | <-> /----/ <-> Google 144 | \ / | | /--------/ QuadTree 145 | ----- --------- /------------/ 146 | KML, public WebMapService Web Clients TileMapService 147 | 148 | What is the coordinate extent of Earth in EPSG:900913? 149 | 150 | [-20037508.342789244, -20037508.342789244, 20037508.342789244, 20037508.342789244] 151 | Constant 20037508.342789244 comes from the circumference of the Earth in meters, 152 | which is 40 thousand kilometers, the coordinate origin is in the middle of extent. 153 | In fact you can calculate the constant as: 2 * math.pi * 6378137 / 2.0 154 | $ echo 180 85 | gdaltransform -s_srs EPSG:4326 -t_srs EPSG:900913 155 | Polar areas with abs(latitude) bigger then 85.05112878 are clipped off. 156 | 157 | What are zoom level constants (pixels/meter) for pyramid with EPSG:900913? 158 | 159 | whole region is on top of pyramid (zoom=0) covered by 256x256 pixels tile, 160 | every lower zoom level resolution is always divided by two 161 | initialResolution = 20037508.342789244 * 2 / 256 = 156543.03392804062 162 | 163 | What is the difference between TMS and Google Maps/QuadTree tile name convention? 164 | 165 | The tile raster itself is the same (equal extent, projection, pixel size), 166 | there is just different identification of the same raster tile. 167 | Tiles in TMS are counted from [0,0] in the bottom-left corner, id is XYZ. 168 | Google placed the origin [0,0] to the top-left corner, reference is XYZ. 169 | Microsoft is referencing tiles by a QuadTree name, defined on the website: 170 | http://msdn2.microsoft.com/en-us/library/bb259689.aspx 171 | 172 | The lat/lon coordinates are using WGS84 datum, yeh? 173 | 174 | Yes, all lat/lon we are mentioning should use WGS84 Geodetic Datum. 175 | Well, the web clients like Google Maps are projecting those coordinates by 176 | Spherical Mercator, so in fact lat/lon coordinates on sphere are treated as if 177 | the were on the WGS84 ellipsoid. 178 | 179 | From MSDN documentation: 180 | To simplify the calculations, we use the spherical form of projection, not 181 | the ellipsoidal form. Since the projection is used only for map display, 182 | and not for displaying numeric coordinates, we don't need the extra precision 183 | of an ellipsoidal projection. The spherical projection causes approximately 184 | 0.33 percent scale distortion in the Y direction, which is not visually noticable. 185 | 186 | How do I create a raster in EPSG:900913 and convert coordinates with PROJ.4? 187 | 188 | You can use standard GIS tools like gdalwarp, cs2cs or gdaltransform. 189 | All of the tools supports -t_srs 'epsg:900913'. 190 | 191 | For other GIS programs check the exact definition of the projection: 192 | More info at http://spatialreference.org/ref/user/google-projection/ 193 | The same projection is degined as EPSG:3785. WKT definition is in the official 194 | EPSG database. 195 | 196 | Proj4 Text: 197 | +proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 198 | +k=1.0 +units=m +nadgrids=@null +no_defs 199 | 200 | Human readable WKT format of EPGS:900913: 201 | PROJCS["Google Maps Global Mercator", 202 | GEOGCS["WGS 84", 203 | DATUM["WGS_1984", 204 | SPHEROID["WGS 84",6378137,298.257223563, 205 | AUTHORITY["EPSG","7030"]], 206 | AUTHORITY["EPSG","6326"]], 207 | PRIMEM["Greenwich",0], 208 | UNIT["degree",0.0174532925199433], 209 | AUTHORITY["EPSG","4326"]], 210 | PROJECTION["Mercator_1SP"], 211 | PARAMETER["central_meridian",0], 212 | PARAMETER["scale_factor",1], 213 | PARAMETER["false_easting",0], 214 | PARAMETER["false_northing",0], 215 | UNIT["metre",1, 216 | AUTHORITY["EPSG","9001"]]] 217 | """ 218 | 219 | def __init__(self, tileSize=256): 220 | '''Initialize the TMS Global Mercator pyramid''' 221 | 222 | self.tileSize = tileSize 223 | self.initialResolution = 2 * math.pi * 6378137 / self.tileSize 224 | 225 | # 156543.03392804062 for tileSize 256 pixels 226 | 227 | self.originShift = 2 * math.pi * 6378137 / 2.0 228 | 229 | # 20037508.342789244 230 | 231 | def LatLonToMeters(self, lat, lon): 232 | '''Converts given lat/lon in WGS84 Datum to XY in Spherical Mercator EPSG:900913''' 233 | 234 | mx = lon * self.originShift / 180.0 235 | my = math.log(math.tan((90 + lat) * math.pi / 360.0)) \ 236 | / (math.pi / 180.0) 237 | 238 | my = my * self.originShift / 180.0 239 | return (mx, my) 240 | 241 | def MetersToLatLon(self, mx, my): 242 | '''Converts XY point from Spherical Mercator EPSG:900913 to lat/lon in WGS84 Datum''' 243 | 244 | lon = mx / self.originShift * 180.0 245 | lat = my / self.originShift * 180.0 246 | 247 | lat = 180 / math.pi * (2 * math.atan(math.exp(lat * math.pi 248 | / 180.0)) - math.pi / 2.0) 249 | return (lat, lon) 250 | 251 | def PixelsToMeters( 252 | self, 253 | px, 254 | py, 255 | zoom, 256 | ): 257 | '''Converts pixel coordinates in given zoom level of pyramid to EPSG:900913''' 258 | 259 | res = self.Resolution(zoom) 260 | mx = px * res - self.originShift 261 | my = py * res - self.originShift 262 | return (mx, my) 263 | 264 | def MetersToPixels( 265 | self, 266 | mx, 267 | my, 268 | zoom, 269 | ): 270 | '''Converts EPSG:900913 to pyramid pixel coordinates in given zoom level''' 271 | 272 | res = self.Resolution(zoom) 273 | px = (mx + self.originShift) / res 274 | py = (my + self.originShift) / res 275 | return (px, py) 276 | 277 | def PixelsToTile(self, px, py): 278 | '''Returns a tile covering region in given pixel coordinates''' 279 | 280 | tx = int(math.ceil(px / float(self.tileSize)) - 1) 281 | ty = int(math.ceil(py / float(self.tileSize)) - 1) 282 | return (tx, ty) 283 | 284 | def PixelsToRaster( 285 | self, 286 | px, 287 | py, 288 | zoom, 289 | ): 290 | '''Move the origin of pixel coordinates to top-left corner''' 291 | 292 | mapSize = self.tileSize << zoom 293 | return (px, mapSize - py) 294 | 295 | def MetersToTile( 296 | self, 297 | mx, 298 | my, 299 | zoom, 300 | ): 301 | '''Returns tile for given mercator coordinates''' 302 | 303 | (px, py) = self.MetersToPixels(mx, my, zoom) 304 | return self.PixelsToTile(px, py) 305 | 306 | def TileBounds( 307 | self, 308 | tx, 309 | ty, 310 | zoom, 311 | ): 312 | '''Returns bounds of the given tile in EPSG:900913 coordinates''' 313 | 314 | (minx, miny) = self.PixelsToMeters(tx * self.tileSize, ty 315 | * self.tileSize, zoom) 316 | (maxx, maxy) = self.PixelsToMeters((tx + 1) * self.tileSize, 317 | (ty + 1) * self.tileSize, zoom) 318 | return (minx, miny, maxx, maxy) 319 | 320 | def TileLatLonBounds( 321 | self, 322 | tx, 323 | ty, 324 | zoom, 325 | ): 326 | '''Returns bounds of the given tile in latutude/longitude using WGS84 datum''' 327 | 328 | bounds = self.TileBounds(tx, ty, zoom) 329 | (minLat, minLon) = self.MetersToLatLon(bounds[0], bounds[1]) 330 | (maxLat, maxLon) = self.MetersToLatLon(bounds[2], bounds[3]) 331 | 332 | return (minLat, minLon, maxLat, maxLon) 333 | 334 | def Resolution(self, zoom): 335 | '''Resolution (meters/pixel) for given zoom level (measured at Equator)''' 336 | 337 | # return (2 * math.pi * 6378137) / (self.tileSize * 2**zoom) 338 | 339 | return self.initialResolution / 2 ** zoom 340 | 341 | def ZoomForPixelSize(self, pixelSize): 342 | '''Maximal scaledown zoom of the pyramid closest to the pixelSize.''' 343 | 344 | for i in range(MAXZOOMLEVEL): 345 | if pixelSize > self.Resolution(i): 346 | if i != 0: 347 | return i - 1 348 | else: 349 | return 0 # We don't want to scale up 350 | 351 | def GoogleTile( 352 | self, 353 | tx, 354 | ty, 355 | zoom, 356 | ): 357 | '''Converts TMS tile coordinates to Google Tile coordinates''' 358 | 359 | # coordinate origin is moved from bottom-left to top-left corner of the extent 360 | 361 | return (tx, 2 ** zoom - 1 - ty) 362 | 363 | def QuadTree( 364 | self, 365 | tx, 366 | ty, 367 | zoom, 368 | ): 369 | '''Converts TMS tile coordinates to Microsoft QuadTree''' 370 | 371 | quadKey = '' 372 | ty = 2 ** zoom - 1 - ty 373 | for i in range(zoom, 0, -1): 374 | digit = 0 375 | mask = 1 << i - 1 376 | if tx & mask != 0: 377 | digit += 1 378 | if ty & mask != 0: 379 | digit += 2 380 | quadKey += str(digit) 381 | 382 | return quadKey 383 | 384 | 385 | # --------------------- 386 | 387 | class GlobalGeodetic(object): 388 | 389 | """ 390 | TMS Global Geodetic Profile 391 | --------------------------- 392 | 393 | Functions necessary for generation of global tiles in Plate Carre projection, 394 | EPSG:4326, "unprojected profile". 395 | 396 | Such tiles are compatible with Google Earth (as any other EPSG:4326 rasters) 397 | and you can overlay the tiles on top of OpenLayers base map. 398 | 399 | Pixel and tile coordinates are in TMS notation (origin [0,0] in bottom-left). 400 | 401 | What coordinate conversions do we need for TMS Global Geodetic tiles? 402 | 403 | Global Geodetic tiles are using geodetic coordinates (latitude,longitude) 404 | directly as planar coordinates XY (it is also called Unprojected or Plate 405 | Carre). We need only scaling to pixel pyramid and cutting to tiles. 406 | Pyramid has on top level two tiles, so it is not square but rectangle. 407 | Area [-180,-90,180,90] is scaled to 512x256 pixels. 408 | TMS has coordinate origin (for pixels and tiles) in bottom-left corner. 409 | Rasters are in EPSG:4326 and therefore are compatible with Google Earth. 410 | 411 | LatLon <-> Pixels <-> Tiles 412 | 413 | WGS84 coordinates Pixels in pyramid Tiles in pyramid 414 | lat/lon XY pixels Z zoom XYZ from TMS 415 | EPSG:4326 416 | .----. ---- 417 | / \ <-> /--------/ <-> TMS 418 | \ / /--------------/ 419 | ----- /--------------------/ 420 | WMS, KML Web Clients, Google Earth TileMapService 421 | """ 422 | 423 | def __init__(self, tmscompatible, tileSize=256): 424 | self.tileSize = tileSize 425 | if tmscompatible is not None: 426 | 427 | # Defaults the resolution factor to 0.703125 (2 tiles @ level 0) 428 | # Adhers to OSGeo TMS spec http://wiki.osgeo.org/wiki/Tile_Map_Service_Specification#global-geodetic 429 | 430 | self.resFact = 180.0 / self.tileSize 431 | else: 432 | 433 | # Defaults the resolution factor to 1.40625 (1 tile @ level 0) 434 | # Adheres OpenLayers, MapProxy, etc default resolution for WMTS 435 | 436 | self.resFact = 360.0 / self.tileSize 437 | 438 | def LonLatToPixels( 439 | self, 440 | lon, 441 | lat, 442 | zoom, 443 | ): 444 | '''Converts lon/lat to pixel coordinates in given zoom of the EPSG:4326 pyramid''' 445 | 446 | res = self.resFact / 2 ** zoom 447 | px = (180 + lon) / res 448 | py = (90 + lat) / res 449 | return (px, py) 450 | 451 | def PixelsToTile(self, px, py): 452 | '''Returns coordinates of the tile covering region in pixel coordinates''' 453 | 454 | tx = int(math.ceil(px / float(self.tileSize)) - 1) 455 | ty = int(math.ceil(py / float(self.tileSize)) - 1) 456 | return (tx, ty) 457 | 458 | def LonLatToTile( 459 | self, 460 | lon, 461 | lat, 462 | zoom, 463 | ): 464 | '''Returns the tile for zoom which covers given lon/lat coordinates''' 465 | 466 | (px, py) = self.LonLatToPixels(lon, lat, zoom) 467 | return self.PixelsToTile(px, py) 468 | 469 | def Resolution(self, zoom): 470 | '''Resolution (arc/pixel) for given zoom level (measured at Equator)''' 471 | 472 | return self.resFact / 2 ** zoom 473 | 474 | # return 180 / float( 1 << (8+zoom) ) 475 | 476 | def ZoomForPixelSize(self, pixelSize): 477 | '''Maximal scaledown zoom of the pyramid closest to the pixelSize.''' 478 | 479 | for i in range(MAXZOOMLEVEL): 480 | if pixelSize > self.Resolution(i): 481 | if i != 0: 482 | return i - 1 483 | else: 484 | return 0 # We don't want to scale up 485 | 486 | def TileBounds( 487 | self, 488 | tx, 489 | ty, 490 | zoom, 491 | ): 492 | '''Returns bounds of the given tile''' 493 | 494 | res = self.resFact / 2 ** zoom 495 | return (tx * self.tileSize * res - 180, ty * self.tileSize 496 | * res - 90, (tx + 1) * self.tileSize * res - 180, (ty 497 | + 1) * self.tileSize * res - 90) 498 | 499 | def TileLatLonBounds( 500 | self, 501 | tx, 502 | ty, 503 | zoom, 504 | ): 505 | '''Returns bounds of the given tile in the SWNE form''' 506 | 507 | b = self.TileBounds(tx, ty, zoom) 508 | return (b[1], b[0], b[3], b[2]) 509 | 510 | 511 | # --------------------- 512 | # TODO: Finish Zoomify implemtentation!!! 513 | 514 | class Zoomify(object): 515 | 516 | """ 517 | Tiles compatible with the Zoomify viewer 518 | ---------------------------------------- 519 | """ 520 | 521 | def __init__( 522 | self, 523 | width, 524 | height, 525 | tilesize=256, 526 | tileformat='jpg', 527 | ): 528 | """Initialization of the Zoomify tile tree""" 529 | 530 | self.tilesize = tilesize 531 | self.tileformat = tileformat 532 | imagesize = (width, height) 533 | tiles = (math.ceil(width / tilesize), math.ceil(height 534 | / tilesize)) 535 | 536 | # Size (in tiles) for each tier of pyramid. 537 | 538 | self.tierSizeInTiles = [] 539 | self.tierSizeInTiles.push(tiles) 540 | 541 | # Image size in pixels for each pyramid tierself 542 | 543 | self.tierImageSize = [] 544 | self.tierImageSize.append(imagesize) 545 | 546 | while imagesize[0] > tilesize or imageSize[1] > tilesize: 547 | imagesize = (math.floor(imagesize[0] / 2), 548 | math.floor(imagesize[1] / 2)) 549 | tiles = (math.ceil(imagesize[0] / tilesize), 550 | math.ceil(imagesize[1] / tilesize)) 551 | self.tierSizeInTiles.append(tiles) 552 | self.tierImageSize.append(imagesize) 553 | 554 | self.tierSizeInTiles.reverse() 555 | self.tierImageSize.reverse() 556 | 557 | # Depth of the Zoomify pyramid, number of tiers (zoom levels) 558 | 559 | self.numberOfTiers = len(self.tierSizeInTiles) 560 | 561 | # Number of tiles up to the given tier of pyramid. 562 | 563 | self.tileCountUpToTier = [] 564 | self.tileCountUpToTier[0] = 0 565 | for i in range(1, self.numberOfTiers + 1): 566 | self.tileCountUpToTier.append(self.tierSizeInTiles[i 567 | - 1][0] * self.tierSizeInTiles[i - 1][1] 568 | + self.tileCountUpToTier[i - 1]) 569 | 570 | def tilefilename( 571 | self, 572 | x, 573 | y, 574 | z, 575 | ): 576 | """Returns filename for tile with given coordinates""" 577 | 578 | tileIndex = x + y * self.tierSizeInTiles[z][0] \ 579 | + self.tileCountUpToTier[z] 580 | return os.path.join('TileGroup%.0f' % math.floor(tileIndex 581 | / 256), '%s-%s-%s.%s' % (z, x, y, 582 | self.tileformat)) 583 | 584 | 585 | # ============================================================================= 586 | # ============================================================================= 587 | # ============================================================================= 588 | 589 | class GDAL2Tiles(object): 590 | 591 | # ------------------------------------------------------------------------- 592 | 593 | def process(self): 594 | """The main processing function, runs all the main steps of processing""" 595 | 596 | # Opening and preprocessing of the input file 597 | 598 | self.open_input() 599 | 600 | # Generation of main metadata files and HTML viewers 601 | 602 | self.generate_metadata() 603 | 604 | # Generation of the lowest tiles 605 | 606 | self.generate_base_tiles() 607 | 608 | # Generation of the overview tiles (higher in the pyramid) 609 | 610 | self.generate_overview_tiles() 611 | 612 | # ------------------------------------------------------------------------- 613 | 614 | def error(self, msg, details=''): 615 | """Print an error message and stop the processing""" 616 | 617 | if details: 618 | self.parser.error(msg + ''' 619 | 620 | ''' + details) 621 | else: 622 | self.parser.error(msg) 623 | 624 | # ------------------------------------------------------------------------- 625 | 626 | def progressbar(self, complete=0.0): 627 | """Print progressbar for float value 0..1""" 628 | 629 | gdal.TermProgress_nocb(complete) 630 | 631 | # ------------------------------------------------------------------------- 632 | 633 | def stop(self): 634 | """Stop the rendering immediately""" 635 | 636 | self.stopped = True 637 | 638 | # ------------------------------------------------------------------------- 639 | 640 | def __init__(self, arguments): 641 | """Constructor function - initialization""" 642 | 643 | self.stopped = False 644 | self.input = None 645 | self.output = None 646 | 647 | # Tile format 648 | 649 | self.tilesize = 256 650 | self.tiledriver = 'PNG' 651 | self.tileext = 'png' 652 | 653 | # Should we read bigger window of the input raster and scale it down? 654 | # Note: Modified leter by open_input() 655 | # Not for 'near' resampling 656 | # Not for Wavelet based drivers (JPEG2000, ECW, MrSID) 657 | # Not for 'raster' profile 658 | 659 | self.scaledquery = True 660 | 661 | # How big should be query window be for scaling down 662 | # Later on reset according the chosen resampling algorightm 663 | 664 | self.querysize = 4 * self.tilesize 665 | 666 | # Should we use Read on the input file for generating overview tiles? 667 | # Note: Modified later by open_input() 668 | # Otherwise the overview tiles are generated from existing underlying tiles 669 | 670 | self.overviewquery = False 671 | 672 | # RUN THE ARGUMENT PARSER: 673 | 674 | self.optparse_init() 675 | (self.options, self.args) = \ 676 | self.parser.parse_args(args=arguments) 677 | if not self.args: 678 | self.error('No input file specified') 679 | 680 | # POSTPROCESSING OF PARSED ARGUMENTS: 681 | 682 | # Workaround for old versions of GDAL 683 | 684 | try: 685 | if self.options.verbose and self.options.resampling \ 686 | == 'near' or gdal.TermProgress_nocb: 687 | pass 688 | except: 689 | self.error('This version of GDAL is not supported. Please upgrade to 1.6+.' 690 | ) 691 | 692 | # ,"You can try run crippled version of gdal2tiles with parameters: -v -r 'near'") 693 | 694 | # Is output directory the last argument? 695 | 696 | # Test output directory, if it doesn't exist 697 | 698 | if os.path.isdir(self.args[-1]) or len(self.args) > 1 \ 699 | and not os.path.exists(self.args[-1]): 700 | self.output = self.args[-1] 701 | self.args = self.args[:-1] 702 | 703 | # More files on the input not directly supported yet 704 | 705 | if len(self.args) > 1: 706 | self.error('Processing of several input files is not supported.' 707 | , 708 | """Please first use a tool like gdal_vrtmerge.py or gdal_merge.py on the files: 709 | gdal_vrtmerge.py -o merged.vrt %s""" 710 | % ' '.join(self.args)) 711 | 712 | # TODO: Call functions from gdal_vrtmerge.py directly 713 | 714 | self.input = self.args[0] 715 | 716 | # Default values for not given options 717 | 718 | if not self.output: 719 | 720 | # Directory with input filename without extension in actual directory 721 | 722 | self.output = \ 723 | os.path.splitext(os.path.basename(self.input))[0] 724 | 725 | if not self.options.title: 726 | self.options.title = os.path.basename(self.input) 727 | 728 | if self.options.url and not self.options.url.endswith('/'): 729 | self.options.url += '/' 730 | if self.options.url: 731 | self.options.url += os.path.basename(self.output) + '/' 732 | 733 | # Supported options 734 | 735 | self.resampling = None 736 | 737 | if self.options.resampling == 'average': 738 | try: 739 | if gdal.RegenerateOverview: 740 | pass 741 | except: 742 | self.error("'average' resampling algorithm is not available." 743 | , 744 | "Please use -r 'near' argument or upgrade to newer version of GDAL." 745 | ) 746 | elif self.options.resampling == 'antialias': 747 | 748 | try: 749 | if numpy: 750 | pass 751 | except: 752 | self.error("'antialias' resampling algorithm is not available." 753 | , 754 | 'Install PIL (Python Imaging Library) and numpy.' 755 | ) 756 | elif self.options.resampling == 'near': 757 | 758 | self.resampling = gdal.GRA_NearestNeighbour 759 | self.querysize = self.tilesize 760 | elif self.options.resampling == 'bilinear': 761 | 762 | self.resampling = gdal.GRA_Bilinear 763 | self.querysize = self.tilesize * 2 764 | elif self.options.resampling == 'cubic': 765 | 766 | self.resampling = gdal.GRA_Cubic 767 | elif self.options.resampling == 'cubicspline': 768 | 769 | self.resampling = gdal.GRA_CubicSpline 770 | elif self.options.resampling == 'lanczos': 771 | 772 | self.resampling = gdal.GRA_Lanczos 773 | 774 | # User specified zoom levels 775 | 776 | self.tminz = None 777 | self.tmaxz = None 778 | if self.options.zoom: 779 | minmax = self.options.zoom.split('-', 1) 780 | minmax.extend(['']) 781 | (min, max) = minmax[:2] 782 | self.tminz = int(min) 783 | if max: 784 | self.tmaxz = int(max) 785 | else: 786 | self.tmaxz = int(min) 787 | 788 | # KML generation 789 | 790 | self.kml = self.options.kml 791 | 792 | # Output the results 793 | 794 | if self.options.verbose: 795 | print('Options:', self.options) 796 | print('Input:', self.input) 797 | print('Output:', self.output) 798 | print('Cache: %s MB' % (gdal.GetCacheMax() / 1024 / 1024)) 799 | print('') 800 | 801 | # ------------------------------------------------------------------------- 802 | 803 | def optparse_init(self): 804 | """Prepare the option parser for input (argv)""" 805 | 806 | from optparse import OptionParser, OptionGroup 807 | usage = 'Usage: %prog [options] input_file(s) [output]' 808 | p = OptionParser(usage, version='%prog ' + __version__) 809 | p.add_option( 810 | '-p', 811 | '--profile', 812 | dest='profile', 813 | type='choice', 814 | choices=profile_list, 815 | help="Tile cutting profile (%s) - default 'mercator' (Google Maps compatible)" 816 | % ','.join(profile_list), 817 | ) 818 | p.add_option( 819 | '-r', 820 | '--resampling', 821 | dest='resampling', 822 | type='choice', 823 | choices=resampling_list, 824 | help="Resampling method (%s) - default 'average'" 825 | % ','.join(resampling_list), 826 | ) 827 | p.add_option('-s', '--s_srs', dest='s_srs', metavar='SRS', 828 | help='The spatial reference system used for the source input data' 829 | ) 830 | p.add_option('-z', '--zoom', dest='zoom', 831 | help="Zoom levels to render (format:'2-5' or '10')." 832 | ) 833 | p.add_option('-e', '--resume', dest='resume', 834 | action='store_true', 835 | help='Resume mode. Generate only missing files.') 836 | p.add_option('-a', '--srcnodata', dest='srcnodata', 837 | metavar='NODATA', 838 | help='NODATA transparency value to assign to the input data' 839 | ) 840 | p.add_option('-d', '--tmscompatible', dest='tmscompatible', 841 | action='store_true', 842 | help='When using the geodetic profile, specifies the base resolution as 0.703125 or 2 tiles at zoom level 0.' 843 | ) 844 | p.add_option('-l', '--leaflet', action='store_true', 845 | dest='leaflet', 846 | help="Set 0,0 point to north. For use with 'leaflet'. Requires -p raster. " 847 | ) 848 | p.add_option('-v', '--verbose', action='store_true', 849 | dest='verbose', 850 | help='Print status messages to stdout') 851 | 852 | # KML options 853 | 854 | g = OptionGroup(p, 'KML (Google Earth) options', 855 | 'Options for generated Google Earth SuperOverlay metadata' 856 | ) 857 | g.add_option('-k', '--force-kml', dest='kml', 858 | action='store_true', 859 | help="Generate KML for Google Earth - default for 'geodetic' profile and 'raster' in EPSG:4326. For a dataset with different projection use with caution!" 860 | ) 861 | g.add_option('-n', '--no-kml', dest='kml', action='store_false' 862 | , 863 | help='Avoid automatic generation of KML files for EPSG:4326' 864 | ) 865 | g.add_option('-u', '--url', dest='url', 866 | help='URL address where the generated tiles are going to be published' 867 | ) 868 | p.add_option_group(g) 869 | 870 | # HTML options 871 | 872 | g = OptionGroup(p, 'Web viewer options', 873 | 'Options for generated HTML viewers a la Google Maps' 874 | ) 875 | g.add_option( 876 | '-w', 877 | '--webviewer', 878 | dest='webviewer', 879 | type='choice', 880 | choices=webviewer_list, 881 | help="Web viewer to generate (%s) - default 'all'" 882 | % ','.join(webviewer_list), 883 | ) 884 | g.add_option('-t', '--title', dest='title', 885 | help='Title of the map') 886 | g.add_option('-c', '--copyright', dest='copyright', 887 | help='Copyright for the map') 888 | g.add_option('-g', '--googlekey', dest='googlekey', 889 | help='Google Maps API key from http://code.google.com/apis/maps/signup.html' 890 | ) 891 | 892 | (g.add_option('-b', '--bingkey', dest='bingkey', 893 | help='Bing Maps API key from https://www.bingmapsportal.com/' 894 | ), ) 895 | p.add_option_group(g) 896 | 897 | # TODO: MapFile + TileIndexes per zoom level for efficient MapServer WMS 898 | # g = OptionGroup(p, "WMS MapServer metadata", "Options for generated mapfile and tileindexes for MapServer") 899 | # g.add_option("-i", "--tileindex", dest='wms', action="store_true" 900 | # help="Generate tileindex and mapfile for MapServer (WMS)") 901 | # p.add_option_group(g) 902 | 903 | p.set_defaults( 904 | verbose=False, 905 | profile='mercator', 906 | kml=False, 907 | url='', 908 | webviewer='all', 909 | copyright='', 910 | resampling='average', 911 | resume=False, 912 | googlekey='INSERT_YOUR_KEY_HERE', 913 | bingkey='INSERT_YOUR_KEY_HERE', 914 | ) 915 | 916 | self.parser = p 917 | 918 | # ------------------------------------------------------------------------- 919 | 920 | def open_input(self): 921 | """Initialization of the input raster, reprojection if necessary""" 922 | 923 | gdal.AllRegister() 924 | 925 | # Initialize necessary GDAL drivers 926 | 927 | self.out_drv = gdal.GetDriverByName(self.tiledriver) 928 | self.mem_drv = gdal.GetDriverByName('MEM') 929 | 930 | if not self.out_drv: 931 | raise Exception("The '%s' driver was not found, is it available in this GDAL build?" 932 | , self.tiledriver) 933 | if not self.mem_drv: 934 | raise Exception("The 'MEM' driver was not found, is it available in this GDAL build?" 935 | ) 936 | 937 | # Open the input file 938 | 939 | if self.input: 940 | self.in_ds = gdal.Open(self.input, gdal.GA_ReadOnly) 941 | else: 942 | raise Exception('No input file was specified') 943 | 944 | if self.options.verbose: 945 | print('Input file:', '( %sP x %sL - %s bands)' 946 | % (self.in_ds.RasterXSize, self.in_ds.RasterYSize, 947 | self.in_ds.RasterCount)) 948 | 949 | if not self.in_ds: 950 | 951 | # Note: GDAL prints the ERROR message too 952 | 953 | self.error("It is not possible to open the input file '%s'." 954 | % self.input) 955 | 956 | # Read metadata from the input file 957 | 958 | if self.in_ds.RasterCount == 0: 959 | self.error("Input file '%s' has no raster band" 960 | % self.input) 961 | 962 | if self.in_ds.GetRasterBand(1).GetRasterColorTable(): 963 | 964 | # TODO: Process directly paletted dataset by generating VRT in memory 965 | 966 | self.error('Please convert this file to RGB/RGBA and run gdal2tiles on the result.' 967 | , 968 | """From paletted file you can create RGBA file (temp.vrt) by: 969 | gdal_translate -of vrt -expand rgba %s temp.vrt 970 | then run: 971 | gdal2tiles temp.vrt""" 972 | % self.input) 973 | 974 | # Get NODATA value 975 | 976 | self.in_nodata = [] 977 | for i in range(1, self.in_ds.RasterCount + 1): 978 | if self.in_ds.GetRasterBand(i).GetNoDataValue() != None: 979 | self.in_nodata.append(self.in_ds.GetRasterBand(i).GetNoDataValue()) 980 | if self.options.srcnodata: 981 | nds = list(map(float, self.options.srcnodata.split(','))) 982 | if len(nds) < self.in_ds.RasterCount: 983 | self.in_nodata = (nds 984 | * self.in_ds.RasterCount)[:self.in_ds.RasterCount] 985 | else: 986 | self.in_nodata = nds 987 | 988 | if self.options.verbose: 989 | print('NODATA: %s' % self.in_nodata) 990 | 991 | # 992 | # Here we should have RGBA input dataset opened in self.in_ds 993 | # 994 | 995 | if self.options.verbose: 996 | print ('Preprocessed file:', '( %sP x %sL - %s bands)' 997 | % (self.in_ds.RasterXSize, self.in_ds.RasterYSize, 998 | self.in_ds.RasterCount)) 999 | 1000 | # Spatial Reference System of the input raster 1001 | 1002 | self.in_srs = None 1003 | 1004 | if self.options.s_srs: 1005 | self.in_srs = osr.SpatialReference() 1006 | self.in_srs.SetFromUserInput(self.options.s_srs) 1007 | self.in_srs_wkt = self.in_srs.ExportToWkt() 1008 | else: 1009 | self.in_srs_wkt = self.in_ds.GetProjection() 1010 | if not self.in_srs_wkt and self.in_ds.GetGCPCount() != 0: 1011 | self.in_srs_wkt = self.in_ds.GetGCPProjection() 1012 | if self.in_srs_wkt: 1013 | self.in_srs = osr.SpatialReference() 1014 | self.in_srs.ImportFromWkt(self.in_srs_wkt) 1015 | 1016 | # elif self.options.profile != 'raster': 1017 | # self.error("There is no spatial reference system info included in the input file.","You should run gdal2tiles with --s_srs EPSG:XXXX or similar.") 1018 | 1019 | # Spatial Reference System of tiles 1020 | 1021 | self.out_srs = osr.SpatialReference() 1022 | 1023 | if self.options.profile == 'mercator': 1024 | self.out_srs.ImportFromEPSG(900913) 1025 | elif self.options.profile == 'geodetic': 1026 | self.out_srs.ImportFromEPSG(4326) 1027 | else: 1028 | self.out_srs = self.in_srs 1029 | 1030 | # Are the reference systems the same? Reproject if necessary. 1031 | 1032 | self.out_ds = None 1033 | 1034 | if self.options.profile in ('mercator', 'geodetic'): 1035 | 1036 | if self.in_ds.GetGeoTransform() == ( 1037 | 0.0, 1038 | 1.0, 1039 | 0.0, 1040 | 0.0, 1041 | 0.0, 1042 | 1.0, 1043 | ) and self.in_ds.GetGCPCount() == 0: 1044 | self.error("There is no georeference - neither affine transformation (worldfile) nor GCPs. You can generate only 'raster' profile tiles." 1045 | , 1046 | "Either gdal2tiles with parameter -p 'raster' or use another GIS software for georeference e.g. gdal_transform -gcp / -a_ullr / -a_srs" 1047 | ) 1048 | 1049 | if self.in_srs: 1050 | 1051 | if self.in_srs.ExportToProj4() \ 1052 | != self.out_srs.ExportToProj4() \ 1053 | or self.in_ds.GetGCPCount() != 0: 1054 | 1055 | # Generation of VRT dataset in tile projection, default 'nearest neighbour' warping 1056 | 1057 | self.out_ds = gdal.AutoCreateWarpedVRT(self.in_ds, 1058 | self.in_srs_wkt, self.out_srs.ExportToWkt()) 1059 | 1060 | # TODO: HIGH PRIORITY: Correction of AutoCreateWarpedVRT according the max zoomlevel for correct direct warping!!! 1061 | 1062 | if self.options.verbose: 1063 | print("Warping of the raster by AutoCreateWarpedVRT (result saved into 'tiles.vrt')") 1064 | self.out_ds.GetDriver().CreateCopy('tiles.vrt', 1065 | self.out_ds) 1066 | 1067 | # Note: self.in_srs and self.in_srs_wkt contain still the non-warped reference system!!! 1068 | 1069 | # Correction of AutoCreateWarpedVRT for NODATA values 1070 | 1071 | if self.in_nodata != []: 1072 | import tempfile 1073 | tempfilename = tempfile.mktemp('-gdal2tiles.vrt' 1074 | ) 1075 | self.out_ds.GetDriver().CreateCopy(tempfilename, 1076 | self.out_ds) 1077 | 1078 | # open as a text file 1079 | 1080 | s = open(tempfilename).read() 1081 | 1082 | # Add the warping options 1083 | 1084 | s = s.replace("""""", 1085 | """ 1086 | 1087 | """) 1088 | 1089 | # replace BandMapping tag for NODATA bands.... 1090 | 1091 | for i in range(len(self.in_nodata)): 1092 | s = \ 1093 | s.replace("""""" 1094 | % (i + 1, i + 1), 1095 | """ 1096 | %i 1097 | 0 1098 | %i 1099 | 0 1100 | """ 1101 | % (i + 1, i + 1, self.in_nodata[i], 1102 | self.in_nodata[i])) # Or rewrite to white by: , 255 )) 1103 | 1104 | # save the corrected VRT 1105 | 1106 | open(tempfilename, 'w').write(s) 1107 | 1108 | # open by GDAL as self.out_ds 1109 | 1110 | self.out_ds = gdal.Open(tempfilename) # , gdal.GA_ReadOnly) 1111 | 1112 | # delete the temporary file 1113 | 1114 | os.unlink(tempfilename) 1115 | 1116 | # set NODATA_VALUE metadata 1117 | 1118 | self.out_ds.SetMetadataItem('NODATA_VALUES', 1119 | '%i %i %i' % (self.in_nodata[0], 1120 | self.in_nodata[1], self.in_nodata[2])) 1121 | 1122 | if self.options.verbose: 1123 | print("Modified warping result saved into 'tiles1.vrt'") 1124 | open('tiles1.vrt', 'w').write(s) 1125 | 1126 | # ----------------------------------- 1127 | # Correction of AutoCreateWarpedVRT for Mono (1 band) and RGB (3 bands) files without NODATA: 1128 | # equivalent of gdalwarp -dstalpha 1129 | 1130 | if self.in_nodata == [] and self.out_ds.RasterCount \ 1131 | in [1, 3]: 1132 | import tempfile 1133 | tempfilename = tempfile.mktemp('-gdal2tiles.vrt' 1134 | ) 1135 | self.out_ds.GetDriver().CreateCopy(tempfilename, 1136 | self.out_ds) 1137 | 1138 | # open as a text file 1139 | 1140 | s = open(tempfilename).read() 1141 | 1142 | # Add the warping options 1143 | 1144 | s = s.replace("""""", 1145 | """ 1146 | Alpha 1147 | 1148 | """ 1149 | % (self.out_ds.RasterCount + 1)) 1150 | s = s.replace("""""", 1151 | """%i 1152 | """ 1153 | % (self.out_ds.RasterCount + 1)) 1154 | s = s.replace("""""", 1155 | """ 1156 | """ 1157 | ) 1158 | 1159 | # save the corrected VRT 1160 | 1161 | open(tempfilename, 'w').write(s) 1162 | 1163 | # open by GDAL as self.out_ds 1164 | 1165 | self.out_ds = gdal.Open(tempfilename) # , gdal.GA_ReadOnly) 1166 | 1167 | # delete the temporary file 1168 | 1169 | os.unlink(tempfilename) 1170 | 1171 | if self.options.verbose: 1172 | print("Modified -dstalpha warping result saved into 'tiles1.vrt'") 1173 | open('tiles1.vrt', 'w').write(s) 1174 | s = ''' 1175 | ''' 1176 | else: 1177 | 1178 | self.error('Input file has unknown SRS.', 1179 | 'Use --s_srs ESPG:xyz (or similar) to provide source reference system.' 1180 | ) 1181 | 1182 | if self.out_ds and self.options.verbose: 1183 | print ('Projected file:', 'tiles.vrt', 1184 | '( %sP x %sL - %s bands)' 1185 | % (self.out_ds.RasterXSize, 1186 | self.out_ds.RasterYSize, 1187 | self.out_ds.RasterCount)) 1188 | 1189 | if not self.out_ds: 1190 | self.out_ds = self.in_ds 1191 | 1192 | # 1193 | # Here we should have a raster (out_ds) in the correct Spatial Reference system 1194 | # 1195 | 1196 | # Get alpha band (either directly or from NODATA value) 1197 | 1198 | self.alphaband = self.out_ds.GetRasterBand(1).GetMaskBand() 1199 | if self.alphaband.GetMaskFlags() & gdal.GMF_ALPHA \ 1200 | or self.out_ds.RasterCount == 4 or self.out_ds.RasterCount \ 1201 | == 2: 1202 | 1203 | # TODO: Better test for alpha band in the dataset 1204 | 1205 | self.dataBandsCount = self.out_ds.RasterCount - 1 1206 | else: 1207 | self.dataBandsCount = self.out_ds.RasterCount 1208 | 1209 | # KML test 1210 | 1211 | self.isepsg4326 = False 1212 | srs4326 = osr.SpatialReference() 1213 | srs4326.ImportFromEPSG(4326) 1214 | if self.out_srs and srs4326.ExportToProj4() \ 1215 | == self.out_srs.ExportToProj4(): 1216 | self.kml = True 1217 | self.isepsg4326 = True 1218 | if self.options.verbose: 1219 | print('KML autotest OK!') 1220 | 1221 | # Read the georeference 1222 | 1223 | self.out_gt = self.out_ds.GetGeoTransform() 1224 | 1225 | # originX, originY = self.out_gt[0], self.out_gt[3] 1226 | # pixelSize = self.out_gt[1] # = self.out_gt[5] 1227 | 1228 | # Test the size of the pixel 1229 | 1230 | # MAPTILER - COMMENTED 1231 | # if self.out_gt[1] != (-1 * self.out_gt[5]) and self.options.profile != 'raster': 1232 | # TODO: Process corectly coordinates with are have swichted Y axis (display in OpenLayers too) 1233 | # self.error("Size of the pixel in the output differ for X and Y axes.") 1234 | 1235 | # Report error in case rotation/skew is in geotransform (possible only in 'raster' profile) 1236 | 1237 | if (self.out_gt[2], self.out_gt[4]) != (0, 0): 1238 | self.error('Georeference of the raster contains rotation or skew. Such raster is not supported. Please use gdalwarp first.' 1239 | ) 1240 | 1241 | # TODO: Do the warping in this case automaticaly 1242 | 1243 | # 1244 | # Here we expect: pixel is square, no rotation on the raster 1245 | # 1246 | 1247 | # Output Bounds - coordinates in the output SRS 1248 | 1249 | self.ominx = self.out_gt[0] 1250 | self.omaxx = self.out_gt[0] + self.out_ds.RasterXSize \ 1251 | * self.out_gt[1] 1252 | self.omaxy = self.out_gt[3] 1253 | self.ominy = self.out_gt[3] - self.out_ds.RasterYSize \ 1254 | * self.out_gt[1] 1255 | 1256 | # Note: maybe round(x, 14) to avoid the gdal_translate behaviour, when 0 becomes -1e-15 1257 | 1258 | if self.options.verbose: 1259 | print ('Bounds (output srs):', round(self.ominx, 13), 1260 | self.ominy, self.omaxx, self.omaxy) 1261 | 1262 | # 1263 | # Calculating ranges for tiles in different zoom levels 1264 | # 1265 | 1266 | if self.options.profile == 'mercator': 1267 | 1268 | self.mercator = GlobalMercator() # from globalmaptiles.py 1269 | 1270 | # Function which generates SWNE in LatLong for given tile 1271 | 1272 | self.tileswne = self.mercator.TileLatLonBounds 1273 | 1274 | # Generate table with min max tile coordinates for all zoomlevels 1275 | 1276 | self.tminmax = list(range(0, 32)) 1277 | for tz in range(0, 32): 1278 | (tminx, tminy) = self.mercator.MetersToTile(self.ominx, 1279 | self.ominy, tz) 1280 | (tmaxx, tmaxy) = self.mercator.MetersToTile(self.omaxx, 1281 | self.omaxy, tz) 1282 | 1283 | # crop tiles extending world limits (+-180,+-90) 1284 | 1285 | (tminx, tminy) = (max(0, tminx), max(0, tminy)) 1286 | (tmaxx, tmaxy) = (min(2 ** tz - 1, tmaxx), min(2 ** tz 1287 | - 1, tmaxy)) 1288 | self.tminmax[tz] = (tminx, tminy, tmaxx, tmaxy) 1289 | 1290 | # TODO: Maps crossing 180E (Alaska?) 1291 | 1292 | # Get the minimal zoom level (map covers area equivalent to one tile) 1293 | 1294 | if self.tminz == None: 1295 | self.tminz = \ 1296 | self.mercator.ZoomForPixelSize(self.out_gt[1] 1297 | * max(self.out_ds.RasterXSize, 1298 | self.out_ds.RasterYSize) / float(self.tilesize)) 1299 | 1300 | # Get the maximal zoom level (closest possible zoom level up on the resolution of raster) 1301 | 1302 | if self.tmaxz == None: 1303 | self.tmaxz = \ 1304 | self.mercator.ZoomForPixelSize(self.out_gt[1]) 1305 | 1306 | if self.options.verbose: 1307 | print ('Bounds (latlong):', 1308 | self.mercator.MetersToLatLon(self.ominx, 1309 | self.ominy), 1310 | self.mercator.MetersToLatLon(self.omaxx, 1311 | self.omaxy)) 1312 | print ('MinZoomLevel:', self.tminz) 1313 | print ('MaxZoomLevel:', self.tmaxz, '(', 1314 | self.mercator.Resolution(self.tmaxz), ')') 1315 | 1316 | if self.options.profile == 'geodetic': 1317 | 1318 | self.geodetic = GlobalGeodetic(self.options.tmscompatible) # from globalmaptiles.py 1319 | 1320 | # Function which generates SWNE in LatLong for given tile 1321 | 1322 | self.tileswne = self.geodetic.TileLatLonBounds 1323 | 1324 | # Generate table with min max tile coordinates for all zoomlevels 1325 | 1326 | self.tminmax = list(range(0, 32)) 1327 | for tz in range(0, 32): 1328 | (tminx, tminy) = self.geodetic.LonLatToTile(self.ominx, 1329 | self.ominy, tz) 1330 | (tmaxx, tmaxy) = self.geodetic.LonLatToTile(self.omaxx, 1331 | self.omaxy, tz) 1332 | 1333 | # crop tiles extending world limits (+-180,+-90) 1334 | 1335 | (tminx, tminy) = (max(0, tminx), max(0, tminy)) 1336 | (tmaxx, tmaxy) = (min(2 ** (tz + 1) - 1, tmaxx), min(2 1337 | ** tz - 1, tmaxy)) 1338 | self.tminmax[tz] = (tminx, tminy, tmaxx, tmaxy) 1339 | 1340 | # TODO: Maps crossing 180E (Alaska?) 1341 | 1342 | # Get the maximal zoom level (closest possible zoom level up on the resolution of raster) 1343 | 1344 | if self.tminz == None: 1345 | self.tminz = \ 1346 | self.geodetic.ZoomForPixelSize(self.out_gt[1] 1347 | * max(self.out_ds.RasterXSize, 1348 | self.out_ds.RasterYSize) / float(self.tilesize)) 1349 | 1350 | # Get the maximal zoom level (closest possible zoom level up on the resolution of raster) 1351 | 1352 | if self.tmaxz == None: 1353 | self.tmaxz = \ 1354 | self.geodetic.ZoomForPixelSize(self.out_gt[1]) 1355 | 1356 | if self.options.verbose: 1357 | print ('Bounds (latlong):', self.ominx, self.ominy, 1358 | self.omaxx, self.omaxy) 1359 | 1360 | if self.options.profile == 'raster': 1361 | 1362 | log2 = lambda x: math.log10(x) / math.log10(2) # log2 (base 2 logarithm) 1363 | 1364 | self.nativezoom = \ 1365 | int(max(math.ceil(log2(self.out_ds.RasterXSize 1366 | / float(self.tilesize))), 1367 | math.ceil(log2(self.out_ds.RasterYSize 1368 | / float(self.tilesize))))) 1369 | 1370 | if int(self.tmaxz or 0) < self.nativezoom: 1371 | self.tmaxz = self.nativezoom 1372 | 1373 | if self.options.verbose: 1374 | print ('Native zoom of the raster:', self.nativezoom) 1375 | 1376 | # Get the minimal zoom level (whole raster in one tile) 1377 | 1378 | if self.tminz == None: 1379 | self.tminz = 0 1380 | 1381 | # Get the maximal zoom level (native resolution of the raster) 1382 | 1383 | if self.tmaxz == None: 1384 | self.tmaxz = self.nativezoom 1385 | 1386 | # Generate table with min max tile coordinates for all zoomlevels 1387 | 1388 | self.tminmax = list(range(0, self.tmaxz + 1)) 1389 | self.tsize = list(range(0, self.tmaxz + 1)) 1390 | for tz in range(0, self.tmaxz + 1): 1391 | tsize = 2.0 ** (self.nativezoom - tz) * self.tilesize 1392 | (tminx, tminy) = (0, 0) 1393 | tmaxx = int(math.ceil(self.out_ds.RasterXSize / tsize)) \ 1394 | - 1 1395 | tmaxy = int(math.ceil(self.out_ds.RasterYSize / tsize)) \ 1396 | - 1 1397 | self.tsize[tz] = math.ceil(tsize) 1398 | self.tminmax[tz] = (tminx, tminy, tmaxx, tmaxy) 1399 | 1400 | # Function which generates SWNE in LatLong for given tile 1401 | 1402 | if self.kml and self.in_srs_wkt: 1403 | self.ct = osr.CoordinateTransformation(self.in_srs, 1404 | srs4326) 1405 | 1406 | def rastertileswne(x, y, z): 1407 | pixelsizex = 2 ** (self.tmaxz - z) * self.out_gt[1] # X-pixel size in level 1408 | pixelsizey = 2 ** (self.tmaxz - z) * self.out_gt[1] # Y-pixel size in level (usually -1*pixelsizex) 1409 | west = self.out_gt[0] + x * self.tilesize \ 1410 | * pixelsizex 1411 | east = west + self.tilesize * pixelsizex 1412 | south = self.ominy + y * self.tilesize * pixelsizex 1413 | north = south + self.tilesize * pixelsizex 1414 | if not self.isepsg4326: 1415 | 1416 | # Transformation to EPSG:4326 (WGS84 datum) 1417 | 1418 | (west, south) = self.ct.TransformPoint(west, 1419 | south)[:2] 1420 | (east, north) = self.ct.TransformPoint(east, 1421 | north)[:2] 1422 | return (south, west, north, east) 1423 | 1424 | self.tileswne = rastertileswne 1425 | else: 1426 | self.tileswne = lambda x, y, z: (0, 0, 0, 0) 1427 | 1428 | # ------------------------------------------------------------------------- 1429 | 1430 | def generate_metadata(self): 1431 | """Generation of main metadata files and HTML viewers (metadata related to particular tiles are generated during the tile processing).""" 1432 | 1433 | if not os.path.exists(self.output): 1434 | os.makedirs(self.output) 1435 | 1436 | if self.options.profile == 'mercator': 1437 | 1438 | (south, west) = self.mercator.MetersToLatLon(self.ominx, 1439 | self.ominy) 1440 | (north, east) = self.mercator.MetersToLatLon(self.omaxx, 1441 | self.omaxy) 1442 | (south, west) = (max(-85.05112878, south), max(-180.0, 1443 | west)) 1444 | (north, east) = (min(85.05112878, north), min(180.0, east)) 1445 | self.swne = (south, west, north, east) 1446 | 1447 | # Generate googlemaps.html 1448 | 1449 | if self.options.webviewer in ('all', 'google') \ 1450 | and self.options.profile == 'mercator': 1451 | if not self.options.resume \ 1452 | or not os.path.exists(os.path.join(self.output, 1453 | 'googlemaps.html')): 1454 | f = open(os.path.join(self.output, 'googlemaps.html' 1455 | ), 'w') 1456 | f.write(self.generate_googlemaps()) 1457 | f.close() 1458 | 1459 | # Generate openlayers.html 1460 | 1461 | if self.options.webviewer in ('all', 'openlayers'): 1462 | if not self.options.resume \ 1463 | or not os.path.exists(os.path.join(self.output, 1464 | 'openlayers.html')): 1465 | f = open(os.path.join(self.output, 'openlayers.html' 1466 | ), 'w') 1467 | f.write(self.generate_openlayers()) 1468 | f.close() 1469 | elif self.options.profile == 'geodetic': 1470 | 1471 | (west, south) = (self.ominx, self.ominy) 1472 | (east, north) = (self.omaxx, self.omaxy) 1473 | (south, west) = (max(-90.0, south), max(-180.0, west)) 1474 | (north, east) = (min(90.0, north), min(180.0, east)) 1475 | self.swne = (south, west, north, east) 1476 | 1477 | # Generate openlayers.html 1478 | 1479 | if self.options.webviewer in ('all', 'openlayers'): 1480 | if not self.options.resume \ 1481 | or not os.path.exists(os.path.join(self.output, 1482 | 'openlayers.html')): 1483 | f = open(os.path.join(self.output, 'openlayers.html' 1484 | ), 'w') 1485 | f.write(self.generate_openlayers()) 1486 | f.close() 1487 | elif self.options.profile == 'raster': 1488 | 1489 | (west, south) = (self.ominx, self.ominy) 1490 | (east, north) = (self.omaxx, self.omaxy) 1491 | 1492 | self.swne = (south, west, north, east) 1493 | 1494 | # Generate openlayers.html 1495 | 1496 | if self.options.webviewer in ('all', 'openlayers'): 1497 | if not self.options.resume \ 1498 | or not os.path.exists(os.path.join(self.output, 1499 | 'openlayers.html')): 1500 | f = open(os.path.join(self.output, 'openlayers.html' 1501 | ), 'w') 1502 | f.write(self.generate_openlayers()) 1503 | f.close() 1504 | 1505 | # Generate tilemapresource.xml. 1506 | 1507 | if not self.options.resume \ 1508 | or not os.path.exists(os.path.join(self.output, 1509 | 'tilemapresource.xml')): 1510 | f = open(os.path.join(self.output, 'tilemapresource.xml'), 1511 | 'w') 1512 | f.write(self.generate_tilemapresource()) 1513 | f.close() 1514 | 1515 | if self.kml: 1516 | 1517 | # TODO: Maybe problem for not automatically generated tminz 1518 | # The root KML should contain links to all tiles in the tminz level 1519 | 1520 | children = [] 1521 | (xmin, ymin, xmax, ymax) = self.tminmax[self.tminz] 1522 | for x in range(xmin, xmax + 1): 1523 | for y in range(ymin, ymax + 1): 1524 | children.append([x, y, self.tminz]) 1525 | 1526 | # Generate Root KML 1527 | 1528 | if self.kml: 1529 | if not self.options.resume \ 1530 | or not os.path.exists(os.path.join(self.output, 1531 | 'doc.kml')): 1532 | f = open(os.path.join(self.output, 'doc.kml'), 'w') 1533 | f.write(self.generate_kml(None, None, None, 1534 | children)) 1535 | f.close() 1536 | 1537 | # ------------------------------------------------------------------------- 1538 | 1539 | def generate_base_tiles(self): 1540 | """Generation of the base tiles (the lowest in the pyramid) directly from the input raster""" 1541 | 1542 | print('Generating Base Tiles:') 1543 | 1544 | if self.options.verbose: 1545 | 1546 | # mx, my = self.out_gt[0], self.out_gt[3] # OriginX, OriginY 1547 | # px, py = self.mercator.MetersToPixels( mx, my, self.tmaxz) 1548 | # print("Pixel coordinates:", px, py, (mx, my)) 1549 | 1550 | print('') 1551 | print('Tiles generated from the max zoom level:') 1552 | print('----------------------------------------') 1553 | print('') 1554 | 1555 | # Set the bounds 1556 | 1557 | (tminx, tminy, tmaxx, tmaxy) = self.tminmax[self.tmaxz] 1558 | 1559 | # Just the center tile 1560 | # tminx = tminx+ (tmaxx - tminx)/2 1561 | # tminy = tminy+ (tmaxy - tminy)/2 1562 | # tmaxx = tminx 1563 | # tmaxy = tminy 1564 | 1565 | ds = self.out_ds 1566 | tilebands = self.dataBandsCount + 1 1567 | querysize = self.querysize 1568 | 1569 | if self.options.verbose: 1570 | print ('dataBandsCount: ', self.dataBandsCount) 1571 | print ('tilebands: ', tilebands) 1572 | 1573 | # print(tminx, tminy, tmaxx, tmaxy) 1574 | 1575 | tcount = (1 + abs(tmaxx - tminx)) * (1 + abs(tmaxy - tminy)) 1576 | 1577 | # print(tcount) 1578 | 1579 | ti = 0 1580 | 1581 | tz = self.tmaxz 1582 | yrange = range(tmaxy, tminy - 1, -1) 1583 | if self.options.leaflet: 1584 | yrange = range(tminy, tmaxy + 1) 1585 | 1586 | for ty in yrange: 1587 | for tx in range(tminx, tmaxx + 1): 1588 | 1589 | if self.stopped: 1590 | break 1591 | ti += 1 1592 | tilefilename = os.path.join(self.output, str(tz), 1593 | str(tx), '%s.%s' % (ty, self.tileext)) 1594 | if self.options.verbose: 1595 | print (ti, '/', tcount, tilefilename) # , "( TileMapService: z / x / y )" 1596 | 1597 | if self.options.resume and os.path.exists(tilefilename): 1598 | if self.options.verbose: 1599 | print('Tile generation skiped because of --resume') 1600 | else: 1601 | self.progressbar(ti / float(tcount)) 1602 | continue 1603 | 1604 | # Create directories for the tile 1605 | 1606 | if not os.path.exists(os.path.dirname(tilefilename)): 1607 | os.makedirs(os.path.dirname(tilefilename)) 1608 | 1609 | if self.options.profile == 'mercator': 1610 | 1611 | # Tile bounds in EPSG:900913 1612 | 1613 | b = self.mercator.TileBounds(tx, ty, tz) 1614 | elif self.options.profile == 'geodetic': 1615 | b = self.geodetic.TileBounds(tx, ty, tz) 1616 | 1617 | # print("\tgdalwarp -ts 256 256 -te %s %s %s %s %s %s_%s_%s.tif" % ( b[0], b[1], b[2], b[3], "tiles.vrt", tz, tx, ty)) 1618 | 1619 | # Don't scale up by nearest neighbour, better change the querysize 1620 | # to the native resolution (and return smaller query tile) for scaling 1621 | 1622 | if self.options.profile in ('mercator', 'geodetic'): 1623 | (rb, wb) = self.geo_query(ds, b[0], b[3], b[2], 1624 | b[1]) 1625 | nativesize = wb[0] + wb[2] # Pixel size in the raster covering query geo extent 1626 | if self.options.verbose: 1627 | print ('\tNative Extent (querysize', 1628 | nativesize, '): ', rb, wb) 1629 | 1630 | # Tile bounds in raster coordinates for ReadRaster query 1631 | 1632 | (rb, wb) = self.geo_query( 1633 | ds, 1634 | b[0], 1635 | b[3], 1636 | b[2], 1637 | b[1], 1638 | querysize=querysize, 1639 | ) 1640 | 1641 | (rx, ry, rxsize, rysize) = rb 1642 | (wx, wy, wxsize, wysize) = wb 1643 | else: 1644 | 1645 | # 'raster' profile: 1646 | 1647 | tsize = int(self.tsize[tz]) # tilesize in raster coordinates for actual zoom 1648 | xsize = self.out_ds.RasterXSize # size of the raster in pixels 1649 | ysize = self.out_ds.RasterYSize 1650 | if tz >= self.nativezoom: 1651 | querysize = self.tilesize # int(2**(self.nativezoom-tz) * self.tilesize) 1652 | 1653 | rx = tx * tsize 1654 | rxsize = 0 1655 | if tx == tmaxx: 1656 | rxsize = xsize % tsize 1657 | if rxsize == 0: 1658 | rxsize = tsize 1659 | 1660 | rysize = 0 1661 | if ty == tmaxy: 1662 | rysize = ysize % tsize 1663 | if rysize == 0: 1664 | rysize = tsize 1665 | if self.options.leaflet: 1666 | ry = ty * tsize 1667 | else: 1668 | ry = ysize - ty * tsize - rysize 1669 | 1670 | (wx, wy) = (0, 0) 1671 | (wxsize, wysize) = (int(rxsize / float(tsize) 1672 | * self.tilesize), int(rysize / float(tsize) 1673 | * self.tilesize)) 1674 | if not self.options.leaflet: 1675 | if wysize != self.tilesize: 1676 | wy = self.tilesize - wysize 1677 | 1678 | if self.options.verbose: 1679 | print ('\tReadRaster Extent: ', (rx, ry, rxsize, 1680 | rysize), (wx, wy, wxsize, wysize)) 1681 | 1682 | # Query is in 'nearest neighbour' but can be bigger in then the tilesize 1683 | # We scale down the query to the tilesize by supplied algorithm. 1684 | 1685 | # Tile dataset in memory 1686 | 1687 | dstile = self.mem_drv.Create('', self.tilesize, 1688 | self.tilesize, tilebands) 1689 | data = ds.ReadRaster( 1690 | rx, 1691 | ry, 1692 | rxsize, 1693 | rysize, 1694 | wxsize, 1695 | wysize, 1696 | band_list=list(range(1, self.dataBandsCount + 1)), 1697 | ) 1698 | alpha = self.alphaband.ReadRaster( 1699 | rx, 1700 | ry, 1701 | rxsize, 1702 | rysize, 1703 | wxsize, 1704 | wysize, 1705 | ) 1706 | 1707 | if self.tilesize == querysize: 1708 | 1709 | # Use the ReadRaster result directly in tiles ('nearest neighbour' query) 1710 | 1711 | dstile.WriteRaster( 1712 | wx, 1713 | wy, 1714 | wxsize, 1715 | wysize, 1716 | data, 1717 | band_list=list(range(1, self.dataBandsCount 1718 | + 1)), 1719 | ) 1720 | dstile.WriteRaster( 1721 | wx, 1722 | wy, 1723 | wxsize, 1724 | wysize, 1725 | alpha, 1726 | band_list=[tilebands], 1727 | ) 1728 | else: 1729 | 1730 | # Note: For source drivers based on WaveLet compression (JPEG2000, ECW, MrSID) 1731 | # the ReadRaster function returns high-quality raster (not ugly nearest neighbour) 1732 | # TODO: Use directly 'near' for WaveLet files 1733 | # Big ReadRaster query in memory scaled to the tilesize - all but 'near' algo 1734 | 1735 | dsquery = self.mem_drv.Create('', querysize, 1736 | querysize, tilebands) 1737 | 1738 | # TODO: fill the null value in case a tile without alpha is produced (now only png tiles are supported) 1739 | # for i in range(1, tilebands+1): 1740 | # dsquery.GetRasterBand(1).Fill(tilenodata) 1741 | 1742 | dsquery.WriteRaster( 1743 | wx, 1744 | wy, 1745 | wxsize, 1746 | wysize, 1747 | data, 1748 | band_list=list(range(1, self.dataBandsCount 1749 | + 1)), 1750 | ) 1751 | dsquery.WriteRaster( 1752 | wx, 1753 | wy, 1754 | wxsize, 1755 | wysize, 1756 | alpha, 1757 | band_list=[tilebands], 1758 | ) 1759 | 1760 | self.scale_query_to_tile(dsquery, dstile, 1761 | tilefilename) 1762 | del dsquery 1763 | 1764 | del data 1765 | 1766 | if self.options.resampling != 'antialias': 1767 | 1768 | # Write a copy of tile to png/jpg 1769 | 1770 | self.out_drv.CreateCopy(tilefilename, dstile, 1771 | strict=0) 1772 | 1773 | del dstile 1774 | 1775 | # Create a KML file for this tile. 1776 | 1777 | if self.kml: 1778 | kmlfilename = os.path.join(self.output, str(tz), 1779 | str(tx), '%d.kml' % ty) 1780 | if not self.options.resume \ 1781 | or not os.path.exists(kmlfilename): 1782 | f = open(kmlfilename, 'w') 1783 | f.write(self.generate_kml(tx, ty, tz)) 1784 | f.close() 1785 | 1786 | if not self.options.verbose: 1787 | self.progressbar(ti / float(tcount)) 1788 | 1789 | # ------------------------------------------------------------------------- 1790 | 1791 | def generate_overview_tiles(self): 1792 | """Generation of the overview tiles (higher in the pyramid) based on existing tiles""" 1793 | 1794 | print('Generating Overview Tiles:') 1795 | 1796 | tilebands = self.dataBandsCount + 1 1797 | 1798 | # Usage of existing tiles: from 4 underlying tiles generate one as overview. 1799 | 1800 | tcount = 0 1801 | for tz in range(self.tmaxz - 1, self.tminz - 1, -1): 1802 | (tminx, tminy, tmaxx, tmaxy) = self.tminmax[tz] 1803 | tcount += (1 + abs(tmaxx - tminx)) * (1 + abs(tmaxy 1804 | - tminy)) 1805 | 1806 | ti = 0 1807 | 1808 | # querysize = tilesize * 2 1809 | 1810 | for tz in range(self.tmaxz - 1, self.tminz - 1, -1): 1811 | (tminx, tminy, tmaxx, tmaxy) = self.tminmax[tz] 1812 | yrange = range(tmaxy, tminy - 1, -1) 1813 | if self.options.leaflet: 1814 | yrange = range(tminy, tmaxy + 1) 1815 | for ty in yrange: 1816 | for tx in range(tminx, tmaxx + 1): 1817 | 1818 | if self.stopped: 1819 | break 1820 | 1821 | ti += 1 1822 | tilefilename = os.path.join(self.output, str(tz), 1823 | str(tx), '%s.%s' % (ty, self.tileext)) 1824 | 1825 | if self.options.verbose: 1826 | print (ti, '/', tcount, tilefilename) # , "( TileMapService: z / x / y )" 1827 | 1828 | if self.options.resume \ 1829 | and os.path.exists(tilefilename): 1830 | if self.options.verbose: 1831 | print('Tile generation skiped because of --resume') 1832 | else: 1833 | self.progressbar(ti / float(tcount)) 1834 | continue 1835 | 1836 | # Create directories for the tile 1837 | 1838 | if not os.path.exists(os.path.dirname(tilefilename)): 1839 | os.makedirs(os.path.dirname(tilefilename)) 1840 | 1841 | dsquery = self.mem_drv.Create('', 2 1842 | * self.tilesize, 2 * self.tilesize, 1843 | tilebands) 1844 | 1845 | # TODO: fill the null value 1846 | # for i in range(1, tilebands+1): 1847 | # dsquery.GetRasterBand(1).Fill(tilenodata) 1848 | 1849 | dstile = self.mem_drv.Create('', self.tilesize, 1850 | self.tilesize, tilebands) 1851 | 1852 | # TODO: Implement more clever walking on the tiles with cache functionality 1853 | # probably walk should start with reading of four tiles from top left corner 1854 | # Hilbert curve 1855 | 1856 | children = [] 1857 | 1858 | # Read the tiles and write them to query window 1859 | 1860 | for y in range(2 * ty, 2 * ty + 2): 1861 | for x in range(2 * tx, 2 * tx + 2): 1862 | (minx, miny, maxx, maxy) = self.tminmax[tz 1863 | + 1] 1864 | if x >= minx and x <= maxx and y >= miny \ 1865 | and y <= maxy: 1866 | dsquerytile = \ 1867 | gdal.Open(os.path.join(self.output, 1868 | str(tz + 1), str(x), '%s.%s' 1869 | % (y, self.tileext)), 1870 | gdal.GA_ReadOnly) 1871 | 1872 | if self.options.leaflet: 1873 | if ty: 1874 | tileposy = y % (2 * ty) \ 1875 | * self.tilesize 1876 | elif ty == 0 and y == 1: 1877 | tileposy = self.tilesize 1878 | else: 1879 | tileposy = 0 1880 | else: 1881 | if ty == 0 and y == 1 or ty != 0 \ 1882 | and y % (2 * ty) != 0: 1883 | tileposy = 0 1884 | else: 1885 | tileposy = self.tilesize 1886 | 1887 | if tx: 1888 | tileposx = x % (2 * tx) \ 1889 | * self.tilesize 1890 | elif tx == 0 and x == 1: 1891 | tileposx = self.tilesize 1892 | else: 1893 | tileposx = 0 1894 | dsquery.WriteRaster( 1895 | tileposx, 1896 | tileposy, 1897 | self.tilesize, 1898 | self.tilesize, 1899 | dsquerytile.ReadRaster(0, 0, 1900 | self.tilesize, self.tilesize), 1901 | band_list=list(range(1, tilebands 1902 | + 1)), 1903 | ) 1904 | children.append([x, y, tz + 1]) 1905 | 1906 | self.scale_query_to_tile(dsquery, dstile, 1907 | tilefilename) 1908 | 1909 | # Write a copy of tile to png/jpg 1910 | 1911 | if self.options.resampling != 'antialias': 1912 | 1913 | # Write a copy of tile to png/jpg 1914 | 1915 | self.out_drv.CreateCopy(tilefilename, dstile, 1916 | strict=0) 1917 | 1918 | if self.options.verbose: 1919 | print ( 1920 | '\tbuild from zoom', 1921 | tz + 1, 1922 | ' tiles:', 1923 | (2 * tx, 2 * ty), 1924 | (2 * tx + 1, 2 * ty), 1925 | (2 * tx, 2 * ty + 1), 1926 | (2 * tx + 1, 2 * ty + 1), 1927 | ) 1928 | 1929 | # Create a KML file for this tile. 1930 | 1931 | if self.kml: 1932 | f = open(os.path.join(self.output, 1933 | '%d/%d/%d.kml' % (tz, tx, ty)), 'w') 1934 | f.write(self.generate_kml(tx, ty, tz, children)) 1935 | f.close() 1936 | 1937 | if not self.options.verbose: 1938 | self.progressbar(ti / float(tcount)) 1939 | 1940 | # ------------------------------------------------------------------------- 1941 | 1942 | def geo_query( 1943 | self, 1944 | ds, 1945 | ulx, 1946 | uly, 1947 | lrx, 1948 | lry, 1949 | querysize=0, 1950 | ): 1951 | """For given dataset and query in cartographic coordinates 1952 | returns parameters for ReadRaster() in raster coordinates and 1953 | x/y shifts (for border tiles). If the querysize is not given, the 1954 | extent is returned in the native resolution of dataset ds.""" 1955 | 1956 | geotran = ds.GetGeoTransform() 1957 | rx = int((ulx - geotran[0]) / geotran[1] + 0.001) 1958 | ry = int((uly - geotran[3]) / geotran[5] + 0.001) 1959 | rxsize = int((lrx - ulx) / geotran[1] + 0.5) 1960 | rysize = int((lry - uly) / geotran[5] + 0.5) 1961 | 1962 | if not querysize: 1963 | (wxsize, wysize) = (rxsize, rysize) 1964 | else: 1965 | (wxsize, wysize) = (querysize, querysize) 1966 | 1967 | # Coordinates should not go out of the bounds of the raster 1968 | 1969 | wx = 0 1970 | if rx < 0: 1971 | rxshift = abs(rx) 1972 | wx = int(wxsize * (float(rxshift) / rxsize)) 1973 | wxsize = wxsize - wx 1974 | rxsize = rxsize - int(rxsize * (float(rxshift) / rxsize)) 1975 | rx = 0 1976 | if rx + rxsize > ds.RasterXSize: 1977 | wxsize = int(wxsize * (float(ds.RasterXSize - rx) / rxsize)) 1978 | rxsize = ds.RasterXSize - rx 1979 | 1980 | wy = 0 1981 | if ry < 0: 1982 | ryshift = abs(ry) 1983 | wy = int(wysize * (float(ryshift) / rysize)) 1984 | wysize = wysize - wy 1985 | rysize = rysize - int(rysize * (float(ryshift) / rysize)) 1986 | ry = 0 1987 | if ry + rysize > ds.RasterYSize: 1988 | wysize = int(wysize * (float(ds.RasterYSize - ry) / rysize)) 1989 | rysize = ds.RasterYSize - ry 1990 | 1991 | return ((rx, ry, rxsize, rysize), (wx, wy, wxsize, wysize)) 1992 | 1993 | # ------------------------------------------------------------------------- 1994 | 1995 | def scale_query_to_tile( 1996 | self, 1997 | dsquery, 1998 | dstile, 1999 | tilefilename='', 2000 | ): 2001 | """Scales down query dataset to the tile dataset""" 2002 | 2003 | querysize = dsquery.RasterXSize 2004 | tilesize = dstile.RasterXSize 2005 | tilebands = dstile.RasterCount 2006 | 2007 | if self.options.resampling == 'average': 2008 | 2009 | # Function: gdal.RegenerateOverview() 2010 | 2011 | for i in range(1, tilebands + 1): 2012 | 2013 | # Black border around NODATA 2014 | # if i != 4: 2015 | # dsquery.GetRasterBand(i).SetNoDataValue(0) 2016 | 2017 | res = gdal.RegenerateOverview(dsquery.GetRasterBand(i), 2018 | dstile.GetRasterBand(i), 'average') 2019 | if res != 0: 2020 | self.error('RegenerateOverview() failed on %s, error %d' 2021 | % (tilefilename, res)) 2022 | elif self.options.resampling == 'antialias': 2023 | 2024 | # Scaling by PIL (Python Imaging Library) - improved Lanczos 2025 | 2026 | array = numpy.zeros((querysize, querysize, tilebands), 2027 | numpy.uint8) 2028 | for i in range(tilebands): 2029 | array[:, :, i] = \ 2030 | gdalarray.BandReadAsArray(dsquery.GetRasterBand(i 2031 | + 1), 0, 0, querysize, querysize) 2032 | im = Image.fromarray(array, 'RGBA') # Always four bands 2033 | im1 = im.resize((tilesize, tilesize), Image.ANTIALIAS) 2034 | if os.path.exists(tilefilename): 2035 | im0 = Image.open(tilefilename) 2036 | im1 = Image.composite(im1, im0, im1) 2037 | im1.save(tilefilename, self.tiledriver) 2038 | else: 2039 | 2040 | # Other algorithms are implemented by gdal.ReprojectImage(). 2041 | 2042 | dsquery.SetGeoTransform(( 2043 | 0.0, 2044 | tilesize / float(querysize), 2045 | 0.0, 2046 | 0.0, 2047 | 0.0, 2048 | tilesize / float(querysize), 2049 | )) 2050 | dstile.SetGeoTransform(( 2051 | 0.0, 2052 | 1.0, 2053 | 0.0, 2054 | 0.0, 2055 | 0.0, 2056 | 1.0, 2057 | )) 2058 | 2059 | res = gdal.ReprojectImage(dsquery, dstile, None, None, 2060 | self.resampling) 2061 | if res != 0: 2062 | self.error('ReprojectImage() failed on %s, error %d' 2063 | % (tilefilename, res)) 2064 | 2065 | # ------------------------------------------------------------------------- 2066 | 2067 | def generate_tilemapresource(self): 2068 | """ 2069 | Template for tilemapresource.xml. Returns filled string. Expected variables: 2070 | title, north, south, east, west, isepsg4326, projection, publishurl, 2071 | zoompixels, tilesize, tileformat, profile 2072 | """ 2073 | 2074 | args = {} 2075 | args['title'] = self.options.title 2076 | (args['south'], args['west'], args['north'], args['east']) = \ 2077 | self.swne 2078 | args['tilesize'] = self.tilesize 2079 | args['tileformat'] = self.tileext 2080 | args['publishurl'] = self.options.url 2081 | args['profile'] = self.options.profile 2082 | 2083 | if self.options.profile == 'mercator': 2084 | args['srs'] = 'EPSG:900913' 2085 | elif self.options.profile == 'geodetic': 2086 | args['srs'] = 'EPSG:4326' 2087 | elif self.options.s_srs: 2088 | args['srs'] = self.options.s_srs 2089 | elif self.out_srs: 2090 | args['srs'] = self.out_srs.ExportToWkt() 2091 | else: 2092 | args['srs'] = '' 2093 | 2094 | s = \ 2095 | """ 2096 | 2097 | %(title)s 2098 | 2099 | %(srs)s 2100 | 2101 | 2102 | 2103 | 2104 | """ \ 2105 | % args 2106 | for z in range(self.tminz, self.tmaxz + 1): 2107 | if self.options.profile == 'raster': 2108 | s += \ 2109 | """ \n""" \ 2110 | % (args['publishurl'], z, 2 ** (self.nativezoom 2111 | - z) * self.out_gt[1], z) 2112 | elif self.options.profile == 'mercator': 2113 | s += \ 2114 | """ \n""" \ 2115 | % (args['publishurl'], z, 156543.0339 / 2 ** z, z) 2116 | elif self.options.profile == 'geodetic': 2117 | s += \ 2118 | """ \n""" \ 2119 | % (args['publishurl'], z, 0.703125 / 2 ** z, z) 2120 | s += """ 2121 | 2122 | """ 2123 | return s 2124 | 2125 | # ------------------------------------------------------------------------- 2126 | 2127 | def generate_kml( 2128 | self, 2129 | tx, 2130 | ty, 2131 | tz, 2132 | children=[], 2133 | **args 2134 | ): 2135 | """ 2136 | Template for the KML. Returns filled string. 2137 | """ 2138 | 2139 | (args['tx'], args['ty'], args['tz']) = (tx, ty, tz) 2140 | args['tileformat'] = self.tileext 2141 | if 'tilesize' not in args: 2142 | args['tilesize'] = self.tilesize 2143 | 2144 | if 'minlodpixels' not in args: 2145 | args['minlodpixels'] = int(args['tilesize'] / 2) # / 2.56) # default 128 2146 | if 'maxlodpixels' not in args: 2147 | args['maxlodpixels'] = int(args['tilesize'] * 8) # 1.7) # default 2048 (used to be -1) 2148 | if children == []: 2149 | args['maxlodpixels'] = -1 2150 | 2151 | if tx == None: 2152 | tilekml = False 2153 | args['title'] = self.options.title 2154 | else: 2155 | tilekml = True 2156 | args['title'] = '%d/%d/%d.kml' % (tz, tx, ty) 2157 | (args['south'], args['west'], args['north'], args['east' 2158 | ]) = self.tileswne(tx, ty, tz) 2159 | 2160 | if tx == 0: 2161 | args['drawOrder'] = 2 * tz + 1 2162 | elif tx != None: 2163 | args['drawOrder'] = 2 * tz 2164 | else: 2165 | args['drawOrder'] = 0 2166 | 2167 | url = self.options.url 2168 | if not url: 2169 | if tilekml: 2170 | url = '../../' 2171 | else: 2172 | url = '' 2173 | 2174 | s = \ 2175 | """ 2176 | 2177 | 2178 | %(title)s 2179 | 2180 | """ \ 2185 | % args 2186 | if tilekml: 2187 | s += \ 2188 | """ 2189 | 2190 | 2191 | %(north).14f 2192 | %(south).14f 2193 | %(east).14f 2194 | %(west).14f 2195 | 2196 | 2197 | %(minlodpixels)d 2198 | %(maxlodpixels)d 2199 | 2200 | 2201 | 2202 | %(drawOrder)d 2203 | 2204 | %(ty)d.%(tileformat)s 2205 | 2206 | 2207 | %(north).14f 2208 | %(south).14f 2209 | %(east).14f 2210 | %(west).14f 2211 | 2212 | 2213 | """ \ 2214 | % args 2215 | 2216 | for (cx, cy, cz) in children: 2217 | (csouth, cwest, cnorth, ceast) = self.tileswne(cx, cy, cz) 2218 | s += \ 2219 | """ 2220 | 2221 | %d/%d/%d.%s 2222 | 2223 | 2224 | %.14f 2225 | %.14f 2226 | %.14f 2227 | %.14f 2228 | 2229 | 2230 | %d 2231 | -1 2232 | 2233 | 2234 | 2235 | %s%d/%d/%d.kml 2236 | onRegion 2237 | 2238 | 2239 | 2240 | """ \ 2241 | % ( 2242 | cz, 2243 | cx, 2244 | cy, 2245 | args['tileformat'], 2246 | cnorth, 2247 | csouth, 2248 | ceast, 2249 | cwest, 2250 | args['minlodpixels'], 2251 | url, 2252 | cz, 2253 | cx, 2254 | cy, 2255 | ) 2256 | 2257 | s += """ 2258 | 2259 | """ 2260 | return s 2261 | 2262 | # ------------------------------------------------------------------------- 2263 | 2264 | def generate_googlemaps(self): 2265 | """ 2266 | Template for googlemaps.html implementing Overlay of tiles for 'mercator' profile. 2267 | It returns filled string. Expected variables: 2268 | title, googlemapskey, north, south, east, west, minzoom, maxzoom, tilesize, tileformat, publishurl 2269 | """ 2270 | 2271 | args = {} 2272 | args['title'] = self.options.title 2273 | args['googlemapskey'] = self.options.googlekey 2274 | (args['south'], args['west'], args['north'], args['east']) = \ 2275 | self.swne 2276 | args['minzoom'] = self.tminz 2277 | args['maxzoom'] = self.tmaxz 2278 | args['tilesize'] = self.tilesize 2279 | args['tileformat'] = self.tileext 2280 | args['publishurl'] = self.options.url 2281 | args['copyright'] = self.options.copyright 2282 | 2283 | s = \ 2284 | """ 2285 | 2286 | 2287 | %(title)s 2288 | 2289 | 2290 | 2298 | 2299 | 2556 | 2557 | 2558 | 2559 |

2562 |

2563 | 2564 | 2565 | """ \ 2566 | % args 2567 | 2568 | return s 2569 | 2570 | # ------------------------------------------------------------------------- 2571 | 2572 | def generate_openlayers(self): 2573 | """ 2574 | Template for openlayers.html implementing overlay of available Spherical Mercator layers. 2575 | 2576 | It returns filled string. Expected variables: 2577 | title, bingkey, north, south, east, west, minzoom, maxzoom, tilesize, tileformat, publishurl 2578 | """ 2579 | 2580 | args = {} 2581 | args['title'] = self.options.title 2582 | args['bingkey'] = self.options.bingkey 2583 | (args['south'], args['west'], args['north'], args['east']) = \ 2584 | self.swne 2585 | args['minzoom'] = self.tminz 2586 | args['maxzoom'] = self.tmaxz 2587 | args['tilesize'] = self.tilesize 2588 | args['tileformat'] = self.tileext 2589 | args['publishurl'] = self.options.url 2590 | args['copyright'] = self.options.copyright 2591 | if self.options.tmscompatible: 2592 | args['tmsoffset'] = '-1' 2593 | else: 2594 | args['tmsoffset'] = '' 2595 | if self.options.profile == 'raster': 2596 | args['rasterzoomlevels'] = self.tmaxz + 1 2597 | args['rastermaxresolution'] = 2 ** self.nativezoom \ 2598 | * self.out_gt[1] 2599 | 2600 | s = \ 2601 | """ 2602 | 2604 | %(title)s 2605 | 2606 | """ \ 2616 | % args 2617 | 2618 | if self.options.profile == 'mercator': 2619 | s += \ 2620 | """ 2621 | """ \ 2622 | % args 2623 | 2624 | s += \ 2625 | """ 2626 | 2627 | 2902 | 2903 | 2904 | 2905 |

2908 |

2909 | 2910 | 2911 | """ \ 2912 | % args 2913 | 2914 | return s 2915 | 2916 | 2917 | # ============================================================================= 2918 | # ============================================================================= 2919 | # ============================================================================= 2920 | 2921 | if __name__ == '__main__': 2922 | argv = gdal.GeneralCmdLineProcessor(sys.argv) 2923 | if argv: 2924 | gdal2tiles = GDAL2Tiles(argv[1:]) 2925 | gdal2tiles.process() 2926 | --------------------------------------------------------------------------------