lossyrob

//   "com.madhukaraphatak" %% "java-sizeof" % "0.1"

import geotrellis.vector._
import com.madhukaraphatak.sizeof.SizeEstimator
import com.vividsolutions.jts.{geom => jts}

object Main {
  def sbytes(bytes: Long, si: Boolean = false): String = {
    val unit = if(si) { 1000 } else { 1024 }
    if (bytes < unit) {

lossyrob

package ingest

import geotrellis.proj4._
import geotrellis.raster._
import geotrellis.raster.io._
import geotrellis.spark._
import geotrellis.spark.io._
import geotrellis.spark.io.kryo._
import geotrellis.spark.io.s3._
import geotrellis.spark.io.index._

lossyrob

Anomoly detection images over time

• Deep-Anomaly: Fully Convolutional Neural Network for Fast Anomaly Detection in Crowded Scenes https://arxiv.org/pdf/1609.00866.pdf
• Abnormal Event Detection in Videos using Spatiotemporal Autoencoder https://arxiv.org/pdf/1701.01546.pdf
• Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery https://arxiv.org/pdf/1703.05921.pdf
• Detecting anomalies in robot time series data using stochastic recurrent networks http://kth.diva-portal.org/smash/get/diva2:896301/FULLTEXT01.pdf
• Remote sensing: An Overview of Background Modeling for Detection of Targets and Anomalies in Hyperspectral Remotely Sensed Imagery http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6810158
• DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field https://www.researchgate.net/profile/Rasmus_Jorgensen/publication/309965200_DeepAnomaly_Combining_Background_Subtraction_and_Deep_Learning_for

lossyrob

lossyrob

lossyrob

lossyrob

package whocares

import geotrellis.raster._
import geotrellis.raster.io.geotiff._
import geotrellis.proj4._
import geotrellis.vector._
import com.twelvemonkeys.image.ResampleOp
import com.twelvemonkeys.imageio.AbstractMetadata
import com.twelvemonkeys.imageio.AbstractMetadata
import spire.syntax.cfor._

lossyrob

Dear FOSS4G Community,

We, the FOSS4G NA Core Committee, are looking for a volunteer to chair the conference committee for the FOSS4G North America 2018 conference. The Conference Committee Chair (CCC) will be responsible for working with the Logistical Organizer (LO) to run a successful conference in 2018. The CCC ultimately shapes the conference, and the success of the conference largely relies on his or her passion and hard work. The North America geospatial community needs someone who is willing to commit themselves to making this FOSS4G NA the best ever, for the benefit of and with the gratitude of all of us. If this sounds like you or someone you know, please get in touch!

Some details:

The CCC chooses, organizes and leads the conference committee. The conference committee will work with the LO to run the conference. The FOSS4G NA core committee, as part of our responsibilities, have chosen the Eclipse Foundation/LocationTech as the Logistical Organizer. The Eclipse Foundation was the LO for past

lossyrob

lossyrob

      val b = "/Users/rob/proj/az/deepml/data/geotrellis-dsm-tiles/"
      val b2 = "/Users/rob/proj/az/deepml/data/"
      val b3 = "/Users/rob/data/datasets/isprs/potsdam/DSM_normalisation_with_geotrellis_byte/"

      val l = Seq(
        "dsm_potsdam_02_10.tff",
        "dsm_potsdam_02_11.tff",
        "dsm_potsdam_02_12.tff",
        "dsm_potsdam_03_10.tff",
        "dsm_potsdam_03_11.tff",