Input Image	Output depth map

To get a local copy up and running follow these simple steps.

This is an example of how to list things you need to use the software and how to install them.

• For virtual envs: Pipenv

  pip install --user pipenv

Or use your virtual environment manager of choice, requirements are in the Pipfile

1. Clone the repo

   git clone https://github.com/Gvanderl/StyleSegments.git

2. Install packages

   pipenv install

3. Run the script

   pipenv shell
   pipenv main.py

Edit the config, either set Pahtlib image paths for image_1_path and image_2_path to to run certain images, or set those variables to None to run on all image pairs in /inputs/.

The outputs and intermediary steps will be displayed and saved to /outputs/

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Distributed under the MIT License. See LICENSE for more information.

Project Link: https://github.com/gvanderl/Soft3DReonstruction

• Soft 3D Reconstruction for View Synthesis
• Real-time local stereo matching using guided image filtering
• Guided Image Filtering