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caffe-gui-tool's Introduction

Caffe Gui Tool

Node based Gui for creating caffe networks

Master branch requires manual setup, although no compilation, and prebuilt is ready to go, but ~100mb compressed

ConvNet

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Autoencoder

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Installation

Apt-get Binaries (~5kb download, and quicker apt-get download)

  • sudo add-apt-repository ppa:irie/blender && sudo apt-get update
  • sudo apt-get install blender, and launch blender with 'blender' command
  • download two python scripts
  • file --> user preferences --> addons --> install from file --> select Caffe Nodes script --> install
  • tick the checkbox in the newly appeared box's top right corner
  • file --> user preferences --> addons --> install from file --> select Caffe Generate script --> install
  • tick the checkbox in the newly appeared box's top right corner
  • user preferences --> file --> uncheck relative paths (IMPORTANT)
  • click on the cube icon in the bottom left
  • click 'node editor' in the popup menu
  • in the newly appeared node editor, look at the bottom panel, it should read 'view - select - add - node'
  • immediately right of this panel there should be a set of four icons joined together. select the THIRD.
  • file --> save startup file
  • file --> user preferences --> save user settings (on the bottom of the window(
  • restart blender

Use

  • Click the 'New' button on the bottom part of the screen to create a new network
  • Name your network in this box, and ENSURE THE 'F' BUTTON NEXT TO THE NAME IS CHECKED
  • Use shift+a to start adding nodes
  • Join up, and fill in all the required fields to your taste. All networks require a data node, and solver node.
  • When ready, select all nodes by single, (or double if required) tapping 'a', then press spacebar.
  • type 'solution' in the search bar
  • select 'create solution' and press enter
  • This will create the required prototxt files in the config directory.
  • Mark the train file as executable
  • run the train file

Limitations

  • Negative gradient on ReLu not yet supported
  • ReLu not calculated in place
  • Many nodes not yet supported

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