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Implementing the paper: Fully Convolutional Networks for Semantic Segmentation

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FCN_segmentation

Implementing the paper: Fully Convolutional Networks for Semantic Segmentation

Introduction

This code simplely implement the paper Fully Convolutional Networks for Semantic Segmentation

Dataset

Dataset is a little small, we just use PASCAL VOC 2007, which includes about 400 segmentation iamges.

Dataset PASCAL VOC 2007: https://pjreddie.com/media/files/VOCtrainval_06-Nov-2007.tar

pretrained vgg16: https://drive.google.com/open?id=1LTptCY96ABAUlJHUJq6MhqNrDQN7JfQP

  1. putting vgg16.npy into the folder 'vgg_para'
  2. unzipping VOCtrainval_06-Nov-2007.tar and

Requirements

  1. python 3.5
  2. tensorflow-gpu 1.4.0
  3. pillow
  4. scipy
  5. numpy
  6. matplotlib

Results

Movie IMG1 IMG2
I Am Legend
Resident Evil
The Walking Dead

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Implementing the paper: Fully Convolutional Networks for Semantic Segmentation

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