Awesome

STEGO: Unsupervised Semantic Segmentation by Distilling Feature Correspondences

Install

Clone this repository:

git clone https://github.com/mhamilton723/STEGO.git
cd STEGO

Install Conda Environment

Please visit the Anaconda install page if you do not already have conda installed

conda env create -f environment.yml
conda activate stego

Download Pre-Trained Models

cd src
python download_models.py

Download Datasets

First, change the pytorch_data_dir variable to your systems pytorch data directory where datasets are stored.

python download_data.py
cd /YOUR/PYTORCH/DATA/DIR
unzip cocostuff.zip

Run Evaluation

From inside STEGO/src pleas run the following:

python eval_segmentation.py