https://github.com/mkturkcan/nuscenes_3d_detection

Environment setup script for Radar+Lidar+Camera integration with mmdetection3d
https://github.com/mkturkcan/nuscenes_3d_detection

Last synced: 17 days ago
JSON representation

Environment setup script for Radar+Lidar+Camera integration with mmdetection3d

• Host: GitHub
• URL: https://github.com/mkturkcan/nuscenes_3d_detection
• Owner: mkturkcan
• License: mit
• Created: 2024-08-06T14:32:13.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-08-06T14:41:06.000Z (5 months ago)
• Last Synced: 2024-11-05T08:03:09.634Z (2 months ago)
• Size: 3.91 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# 3D Detection with NuScenes

Environment setup script for Radar+Lidar+Camera integration with mmdetection3d.

## Environment Setup

It is important that we are running everything as root, under the /root/ directory. A lot of the files we are using have hardcoded paths. Change accordingly for the whole codebase if needed. Start by uploading v1.0-mini.tgz under /root/ and executing:

```console

tar -xvzf v1.0-mini.tgz

```

Then, if we have a working conda installation, we run the following, one line at a time, saying yes when prompted.

```console

conda create -n pytorch python=3.9

conda activate pytorch

conda install pytorch==2.0.0 torchvision==0.15.0 torchaudio==2.0.0 pytorch-cuda=11.8 cudatoolkit=11.8 -c pytorch -c nvidia

export CUDA_HOME=$CONDA_PREFIX

conda install nvidia/label/cuda-11.8.0::cuda-nvcc

export LD_LIBRARY_PATH="$CONDA_PREFIX/lib"

conda install nvidia/label/cuda-11.8.0::cuda-cudart

conda install nvidia/label/cuda-11.8.0::cuda-cudart-dev

conda install nvidia/label/cuda-11.8.0::libcusparse

conda install nvidia/label/cuda-11.8.0::libcusparse-dev

conda install nvidia/label/cuda-11.8.0::libcublas-dev

conda install nvidia/label/cuda-11.8.0::libcusolver-dev

pip install -U openmim

mim install mmcv-full==1.6.0

pip install mmdet==2.28.2

pip install mmsegmentation==0.30.0

git clone https://github.com/fundamentalvision/Deformable-DETR.git

cd Deformable-DETR/models/ops

pip install .

cd /root/

pip install lyft-dataset-sdk

conda install jupyterlab

pip install nuscenes-devkit

pip install trimesh

pip install tensorboard

pip install timm

conda install conda-forge::einops

conda install scikit-image

cd rcbevdet-master

python tools/create_data.py --root-path=/root/ --version="v1.0-mini" --max-sweeps=10 --dataset nuscenes 

python tools/create_data_nuscenes_RC.py --root-path=/root/ --version="v1.0-mini"

python tools/test.py configs/rcbevdet/det-256x704-r50-BEV128-9kf-depth-withHoP-cbgs12e-circlelarger.py det-256x704-r50-BEV128-9kf-depth-hop.pth --eval bbox

```