kunalchelani / floorplangen Goto Github PK
View Code? Open in Web Editor NEWA mix of C++ and python code for generation of 2D floorplans using RGB-D sensors
A mix of C++ and python code for generation of 2D floorplans using RGB-D sensors
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"
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