"# VoxelNeXt Implementation"
This project focuses on implementing the VoxelNeXt model using custom scripts for LiDAR-based 3D object detection.
- 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.
Install dependencies from OpenPCDet and VoxelNeXt. 2. Prepare the dataset 3. Run inference