Skip to content

Tensorflow implementation of "Learning Deconvolution Network for Semantic Segmentation"

License

Notifications You must be signed in to change notification settings

fabianbormann/Tensorflow-DeconvNet-Segmentation

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

46 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Tensorflow implementation of Learning Deconvolution Network for Semantic Segmentation.

Install Instructions

  1. Works with tensorflow 1.11.0 and uses the Keras API so use pip to install tensorflow-gpu in the latest version

  2. Run the following commands in your terminal

git clone https://github.com/fabianbormann/Tensorflow-DeconvNet-Segmentation.git
cd Tensorflow-DeconvNet-Segmentation
sudo pip3 install -r requirements.txt

python3
Python 3.5.2+ (default, Sep 22 2016, 12:18:14)
[GCC 6.2.0 20160927] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from DeconvNet import DeconvNet
>>> deconvNet = DeconvNet() # will start collecting the VOC2012 data
>>> deconvNet.train(epochs=20, steps_per_epoch=500, batch_size=64)
>>> deconvNet.save()
>>> prediction = deconvNet.predict(any_image)

Contributions welcome!

About

Tensorflow implementation of "Learning Deconvolution Network for Semantic Segmentation"

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 3

  •  
  •  
  •  

Languages