sri-sai-charan / stero-correspondance-algorithm

Creating a disparity map using the frames observed by a stereo-camera, after correcting epi-lines, through the use of OpenCV

Stero-Correspondance-Algorithm

Description

This code estimates the depth present in

Getting Started

• Please ensure the terminal used to run the code is at the root folder of "main.py"
• Enter the name of the data set to be used these can either be ["curule", "pendulum" , "octagon" ]

Dependencies

• numpy library, python version 3.X.X needed before running program.
• cv2 library, opencv is needed before running the program.
• alive-progress, open-source progress bar before running the program.

pip3 install alive-progress

Installing

• Download the zip file \ pull all files and extract into any workspace as the code is self-contained and does not require any particular environment.

Executing program

• Open your IDE in the parent folder of plot_path.py
• Open your text editor and ensure the python interpreter is at least python version 3.X.X and run the below comand

python3 main.py --Dataset curule

python3 main.py --Dataset pendulum

python3 main.py --Dataset octagon

Results

• Rectified Epilines Curule
  

• Depth Image Gray Curule
  

• Depth Image Heat Curule
  

• Disparity Image Gray Curule
  

• Disparity Image Heat Curule
  

Authors

Sri Sai Charan Velisetti - [email protected]