Tensorflow implementation of "Learning Deconvolution Network for Semantic Segmentation"
Branch: master
Clone or download


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

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!