Python package for the evaluation of odometry and SLAM
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Updated
Jun 13, 2024 - Python
Python package for the evaluation of odometry and SLAM
SECOND for KITTI/NuScenes object detection
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
World's first general purpose 3D object detection codebse.
Pytorch version of SfmLearner from Tinghui Zhou et al.
Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)
Convert KITTI dataset to ROS bag file the easy way!
[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
[CVPR 2021] Self-supervised depth estimation from short sequences
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]
AAAI2023,implementation of "READ: Large-Scale Neural Scene Rendering for Autonomous Driving", the experimental results are significantly better than Nerf-based methods
Tutorial for using Kitti dataset easily
Current state of supervised and unsupervised depth completion methods
3D detection and tracking viewer (visualization) for kitti & waymo dataset
🔥3D-MOT(点云多目标检测和追踪C++) (2020 · 秋) 代码有详细注解
[CVPR 2020, Oral] MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)
Python-based optical flow toolkit for existing popular dataset
Visualising LIDAR data from KITTI dataset.
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