PIX-IT
Team PIX-IT has worked on the Fast Bilateral-Space Stereo for Synthetic Defocus paper by researchers at Google.
Requirements
This project expects the following libraries to be present on the users system along with Python3
These libraries can be installed via
pip
Jupyter
: tools for working with code, text in one placeOpenCV
: a library of programming functions mainly aimed at real-time computer visionNumpy
: for dealing with large, multi-dimensional arrays and matricesMatplotLib
: a plotting librarySciPy
: for scientific computingPyLab
: an interface to Matplotlib (Generally gets installed with MatPlotLib by default)
To run the code!
- Please open the 'src' folder
- The 'BilateralSolver.ipynb' is our fully functional notebook.
- It includes all the modules, classes
- It runs all the tests
- Simply run all cells of 'BilateralSolver.ipynb' in order.
Documentation of the code
- Check out
index.html
in./references/documentation
for the documentation of the code. - Documentation created using Sphinx documentation generator.
Sources for stereo images
Repository Structure
documents
PIX-IT-Final.pdf
: the PDF version of final presentation. (Recommended for presentation!)PIX-IT-Final.pptx
PIX-IT_mideval_presentation.pdf
PIX-IT_mideval_presentation.pptx
images
: contains images used in code (4 pair of stereo images)references
: contains reference papersdocumentation_html
: openindex.html
file to run the documentation on the browser
src
own
: [ARCHIVE] contains rough notebooks where we tried and tested different approachesBilateralStereo.ipynb
: Main Notebook. Run this!
readme.md
: [This File]proposal.md
: project proposal