Eric.J.Christeson ejc123
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| <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> | |
| <modelVersion>4.0.0</modelVersion> | |
| <groupId>org.deeplearning4j</groupId> | |
| <artifactId>deeplearning4j-examples</artifactId> | |
| <version>0.4-rc0-SNAPSHOT</version> | |
| <name>DeepLearning4j Examples</name> | |
| <description>Examples of training different data sets</description> | |
| <properties> |
ejc123
/ gist:910d21fe5c9b133952bb
Last active
November 24, 2015 21:51
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| /usr/lib/jvm/java-8-oracle/bin/java -Didea.launcher.port=7536 -Didea.launcher.bin.path=/home/ejc/idea-IC-143.380.20/bin -Dfile.encoding=UTF-8 -classpath /usr/lib/jvm/java-8-oracle/jre/lib/charsets.jar:/usr/lib/jvm/java-8-oracle/jre/lib/deploy.jar:/usr/lib/jvm/java-8-oracle/jre/lib/ext/cldrdata.jar:/usr/lib/jvm/java-8-oracle/jre/lib/ext/dnsns.jar:/usr/lib/jvm/java-8-oracle/jre/lib/ext/jaccess.jar:/usr/lib/jvm/java-8-oracle/jre/lib/ext/jfxrt.jar:/usr/lib/jvm/java-8-oracle/jre/lib/ext/localedata.jar:/usr/lib/jvm/java-8-oracle/jre/lib/ext/nashorn.jar:/usr/lib/jvm/java-8-oracle/jre/lib/ext/sunec.jar:/usr/lib/jvm/java-8-oracle/jre/lib/ext/sunjce_provider.jar:/usr/lib/jvm/java-8-oracle/jre/lib/ext/sunpkcs11.jar:/usr/lib/jvm/java-8-oracle/jre/lib/ext/zipfs.jar:/usr/lib/jvm/java-8-oracle/jre/lib/javaws.jar:/usr/lib/jvm/java-8-oracle/jre/lib/jce.jar:/usr/lib/jvm/java-8-oracle/jre/lib/jfr.jar:/usr/lib/jvm/java-8-oracle/jre/lib/jfxswt.jar:/usr/lib/jvm/java-8-oracle/jre/lib/jsse.jar:/usr/lib/jvm/java-8-oracle/jre/lib/mana |
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| val valid = geotrellis.data.geojson.GeoJsonReader.parse(geoJson).get.filter(node => node.geom.isValid && node.geom.getGeometryType == "Polygon").map { | |
| g => (Polygon(g.geom,0), g.geom.getCentroid.getCoordinate) | |
| } | |
| val results = months.flatMap { | |
| month => { | |
| val raster = RasterSource(store, s"${month}${year}NDVI_TOA_UTM14") | |
| val mask = RasterSource(store, s"${month}${year}ACCA_State_UTM14") | |
| val masked = raster.localMask(mask, 1, NODATA).cached | |
| val sources = valid.map { | |
| case (poly, coord) => |
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| val results = months.flatMap { | |
| month => { | |
| val raster = RasterSource(store, s"${month}${year}NDVI_TOA_UTM14") | |
| val mask = RasterSource(store, s"${month}${year}ACCA_State_UTM14") | |
| val masked = raster.localMask(mask, 1, NODATA) | |
| valid.map { | |
| g => | |
| val polygon = Polygon(g.geom, 0) | |
| val coords = Demo.server.get(GetCentroid(polygon)).geom.getCoordinate |
ejc123
/ gist:7238469
Created
October 30, 2013 19:17
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| In filterTiles (RasterDataSourceLike.scala) the rasterExtent is: | |
| Extent(652857.510560436,5252505.693414056,660537.2741164577,5260185.59803197) | |
| But in foreachCellByPolygon (PolygonRasterizer.scala) it is: | |
| Extent(675896.8012285009,5321624.834975283,683576.5647845225,5329304.739593197) |
ejc123
/ gist:6719828
Created
September 26, 2013 20:09
This is how I'm calling the ops. I use the stats object which is a Summary to get the timing.
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| val maxOp = Histogram(tileSet, polygon, tile) | |
| Demo.server.getResult(maxOp) match { | |
| case Complete(median, stats) => { | |
| (id,median.getMedian,stats.stopTime - stats.startTime) | |
| } | |
| case _ => (-1,geotrellis.NODATA,0L) | |
| } |
ejc123
/ Statistics.scala
Created
September 26, 2013 18:33
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| package geotrellis.statistics | |
| /** | |
| * Data object for sharing the basic statistics about a raster or region. | |
| */ | |
| case class Statistics(val mean:Double = Double.NaN, val median:Int = geotrellis.NODATA, | |
| val mode:Int = geotrellis.NODATA, val stddev:Double = Double.NaN, | |
| val zmin:Int = geotrellis.NODATA, val zmax:Int = geotrellis.NODATA) | |
| object Statistics extends Statistics { |