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<link rel="import" href="../core-icons/core-icons.html">
<link rel="import" href="../paper-item/paper-item.html">

<polymer-element name="my-element">

  <template>
    <style>    
      :host {
        position: absolute;
        width: 100%;

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variables:
  ROS_DISTRO: "indigo"
  CI_SOURCE_PATH: "$CI_PROJECT_DIR"
  ROS_PARALLEL_JOBS: "-j8 -l6"

before_script:
# before install
  - mkdir -p ~/catkin_ws/src
  - cd ~/catkin_ws/src
  - if [ ! -f CMakeLists.txt ]; then catkin_init_workspace; else echo "CMakeList file already there";fi

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# Based on
# https://gist.github.com/lukeyeager/777087991419d98700054cade2f755e6
#--------------------------------------------------------------------
# CarDetection runs Detectnet on a video pipeline (TX1 Tested)

# This might be run only once if no ffmpeg is installed
#import imageio
#imageio.plugins.ffmpeg.download()

import cv2

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name: 'FCN 16s'
layer {
    type: 'data'
    name: 'data'
    top: 'data'
    input_param {
        shape {
           dim: 1
           dim: 3
           dim: 500

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name: "LeNet"
layer {
  name: "data"
  type: "Input"
  top: "data"
  input_param { shape: { dim: 64 dim: 1 dim: 28 dim: 28 } }
}
layer {
  name: "conv1"
  type: "Convolution"

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name: "FastRCNN VGG16"

input: "data"
input_shape {
  dim: 2
  dim: 3
  dim: 375
  dim: 500
}

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name: "FCN AlexNet"
input: "data"
input_shape {
  dim: 1
  dim: 3
  dim: 1024
  dim: 2048
}
layer {
  name: "shift"

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# data layers
layer {
  name: "data"
  type: "Data"
  top: "data"
  include {
    phase: TRAIN
  }
  data_param {
    batch_size: 1

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name: "AlexNet"
layer {
  name: "data"
  type: "Input"
  top: "data"
  input_param { shape: { dim: 10 dim: 3 dim: 227 dim: 227 } }
}
layer {
  name: "conv1"
  type: "Convolution"

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"tench, Tinca tinca"
"goldfish, Carassius auratus"
"great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias"
"tiger shark, Galeocerdo cuvieri"
"hammerhead, hammerhead shark"
"electric ray, crampfish, numbfish, torpedo"
"stingray"
"cock"
"hen"
"ostrich, Struthio camelus"