Convert an gray scale image into rgb image using Convolutional Autoencoder
pip3 install tensorflow-gpu==1.13.1
Download the flower dataset from here.Dataset contains 210 flower images.
- Extract file :
tar -xvf filename
mv ./filename/flower_images ../../
- Training
python main.py ./flower_images
- First row contains ground truth gray scale images.
- Second row contains ground truth rgb images.
- Third row contains images generated from the network.
Convolutional Autoencoder can be used to convert gray scale images into rgb images.Encoder is able to effectively learn images representaion into latent vector and decoder is able to map learned image representaion into color image.