Depth prediction using Deep Residual Networks.

Original code and paper by @iro-cp found here: https://github.com/iro-cp/FCRN-DepthPrediction

I was also helped by @iapatil's version of this, found here: https://github.com/iapatil/depth-semantic-fully-conv

Written in PyTorch. To run, download the pretrained numpy weights from here and save them in the current directory.

Then, activate a PyTorch environment and run

python predict.py <color_image>

The output will be saved as output_image.png.

My post detailing the paper and implementation can be found here.