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Specifically this project will estimate the camera projection matrix, which maps 3D world coordinates to image coordinates, as well as the fundamental matrix, which relates points in one scene to epipolar lines in another.

Python 1.31% Jupyter Notebook 98.69%

computer-vision python

ransac-based-scene-geometry's Introduction

Camera Calibration and Fundamental Matrix Estimation with RANSAC

Setup

Install Miniconda. It doesn't matter whether you use 2.7 or 3.6 because the project will create its own environment anyways.
Create a conda environment using the given file by modifying the following command based on your OS (linux, mac, or win): conda env create -f environment_<OS>.yml
This should create an environment named ransac. Activate it using the following Windows command: activate ransac or the following MacOS / Linux command: source activate ransac.
Run the notebook using: jupyter notebook ./code/proj3.ipynb

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