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iMAP SLAM in PyTorch

This is an implementation of iMAP SLAM in PyTorch, which is a cleaned up version of ueda0319's iMAP implementation. This version is edited for a beginner to understand, with descriptive variable names, lots of comments, and minor tweaks. Hopefully this can help others to learn NERF and NERF based SLAM algorithms. Thanks to ueda0319 for the original implementation!

tum_test

dependency

  • PyTorch 1.8
  • opencv-python
  • numpy

Quick start

Download RGBD dataset from TUM(https://vision.in.tum.de/data/datasets/rgbd-dataset/download)

run with following commands

python run_slam_tum.py path/to/rgbd_dataset_freiburg1_teddy/