text: from __future__ import print_function
  from __future__ import division
  
  
  
  def useBlock(blockIndex, blockBegin, blockEnd):
      #print("bi",blockIndex)
      return (blockIndex + 1) % 2 != 0
  
  
  settingsDict = {
      "trainingData" : {
  
          "hhess" : {
              "data":{
                  "raw" : {
                      "file" : [
                          "/home/tbeier/src/pc/data/hhess_supersmall/raw.h5",
                          "dataa"
                      ]
                  },
                  "pmap" : {
                      "file" : [
                          "/home/tbeier/src/pc/data/hhess_supersmall/raw_predictions.h5",
                          "data"
                      ]
                  }
              }
              ,
              "labels" : {
  
                  "file" : [
                      "/home/tbeier/src/pc/data/hhess_supersmall/explicit_semantic_labels.h5",
                      "data"
                  ]
              }
          }   
      },
  
      "setup" : {   
          "useBlock" : useBlock,
          "blockShape" : [50,50,50],
          "nClasses" : 7,
          "trainingDataNames": [
              "hhess"
          ],
          "featureSettings" : [
              {
                  "name" : "raw",
                  "features" :[
                      {
                          "type" : "ConvolutionFeatures",
                          "kwargs" : {
                              "sigmas" : [1.0,2.0,4.0, 8.0, 12.0], 
                          }
                      }
                  ]
              },
              {
                  "name" : "pmap",
                  "features" :[
                      {
                          "type" : "ConvolutionFeatures",
                          "kwargs" : {
                              "sigmas" : [2.0, 4.0, 8.0, 12],
                              "usedChannels" : [0, 1, 2, 3, 4, 5, 6]
                          }
                      },
                      {
                          "type" : "BinaryMorphologyFeatures",
                          "kwargs" : {
                              "channel" : 0,
                              "thresholds":[128.0]
                          }
                      },
                      #{
                      #    "type" : "BinaryMorphologyFeatures",
                      #    "kwargs" : {
                      #        "channel" : 1,
                      #        "thresholds":[128.0]
                      #    }
                      #},
                      #{
                      #    "type" : "BinaryMorphologyFeatures",
                      #    "kwargs" : {
                      #        "channel" : 2,
                      #        "thresholds":[128.0]
                      #    }
                      #},
                      #{
                      #    "type" : "BinaryMorphologyFeatures",
                      #    "kwargs" : {
                      #        "channel" : 3,
                      #        "thresholds":[128.0]
                      #    }
                      #},
                      #{
                      #    "type" : "BinaryMorphologyFeatures",
                      #    "kwargs" : {
                      #        "channel" : 4,
                      #        "thresholds":[128.0]
                      #    }
                      #},
                      #{
                      #    "type" : "BinaryMorphologyFeatures",
                      #    "kwargs" : {
                      #        "channel" : 5,
                      #        "thresholds":[128.0]
                      #    }
                      #}
                  ]
              }
          ] 
          ,
          "classifier" :{
              "training_set": "/home/tbeier/src/pc/data/hhess_supersmall/training_set_r2.h5",
              "filename":"/home/tbeier/src/pc/data/hhess_supersmall/clfr2.clf",
  
              "type" : "rf",
              "settings" : {
                  "n_jobs":-1, 
                  "n_estimators":255
              }
          }
      }
  }