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A mix of C++ and python code for generation of 2D floorplans using RGB-D sensors

CMake 2.41% Python 57.42% MATLAB 0.71% C++ 28.51% Jupyter Notebook 7.77% Shell 3.18%

floorplangen's Introduction

This readme lists the steps to create a 3D point cloud using the ORB-SLAM2 library.

1. Pre req : RGB and Depth frames (obtained from the .klg file).
2. Run associate_ours.py as python associate_ours.py base_directory
3. From the build directory, run the orb_rgbd exectuable as : " ./orb_rgbd vocab_file settings_file RGBImagesDirectory DepthImagesDirectory AssociationFilename trajectoryFilename keyframeTrajectoryFilename"
 
Using the trajectory obtained from the above steps, obtain the volumetric reconstruction by following these steps:

1. Run assocToIndiLists as "python assocToIndiLists.py base_directory"
2. Generate Pointcloud using "python generate_registered_pointcloud.py rgb_list depth_list trajectory_file output_cloudName.ply --nth 100"

floorplangen's People

Contributors

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Stargazers

NNU-GISA avatar Pradyumna Reddy Chinthala avatar flair avatar

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nnu-gisa

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