AI and ML techniques applied to the KITTI automotive dataset! This is mostly demonstrations of different computer vision and deep learning techniques for Visual-SLAM, 3D Reconstruction, and Pointclouds.
As described in the MonoReq repo...
Run the code below to move data_depth_annotated.zip files into the sequence directories:
MonoRec$ python data_loader/scripts/preprocess_kitti_extract_annotated_depth.py \
--output ~/KITTI/dataset/ \
--input ~/KITTI/data_depth_annotated.zip \
--depth_folder image_depth_annotated
KITTI Odometry Dataset is expected in the user home of your filesystem:
~/KITTI/dataset/poses/
/sequences/00/image_0/
/image_1/
/image_2/
/image_3/
/image_depth_annotated/
/velodyne/
/01/
/02/
/...
/21/