Skip to content

Jinseong1126/20242R0136COSE41600

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

"# VoxelNeXt Implementation"

VoxelNeXt Implementation

Project Description

This project focuses on implementing the VoxelNeXt model using custom scripts for LiDAR-based 3D object detection.

File Description

  • custom_dataset.py: Custom dataset preparation script.
  • infer.py: Inference script for evaluating VoxelNeXt.
  • voxelnext_custom.yaml: Custom configuration file for VoxelNeXt.
  • camera.py: Handles camera functionalities.
  • camera_params.json: Camera parameters in JSON format.
  • convert.py: Conversion utilities for input/output data.
  • video.py: Script for video generation.
  • visualize_1.py: Visualization script for results.

How to Use

Install dependencies from OpenPCDet and VoxelNeXt. 2. Prepare the dataset 3. Run inference

References

About

LiDAR-based 3D Object Detection

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages