FCN_via_Keras

FCN

FCN (Fully Convolutional Network) is deep fully convolutional neural network architecture for semantic pixel-wise segmentation. This is implementation of "https://arxiv.org/abs/1605.06211" by using Keras which is a neural networks library. FCN can train by using any size of image, but I trained this network using the images of the same size (224 * 224).

Usage

train

$ python train.py -tr 
   
     -ta 
    
      -tt 
      -e 
     
       -b 
      

      
     
    
   

Example

$ python train.py -tr /Volumes/DATASET2/VOCdevkit/VOC2012/JPEGImages/ -ta /Volumes/DATASET2/VOCdevkit/VOC2012/SegmentationClass/ -t train.txt

predict

$ pyton predict.py -i 
   

   

Example

$ python train.py -i demo_imgs/2011_003255.jpg

Caution

Please use theano as backend because this couldn't work on tensorflow backend. I'm trying debug now. I update this code if I get factor of that.