Implementation of 'FADet: A Multi-sensor 3D Object Detection Network based on Local Featured Attention'

Firstly,

git clone https://github.com/ZionGo6/FADet

We recommend to run our FADet in docker container, dockerfile and dependencies are prepared in this repo.

cd FADet/docker/

To build docker image, run:

./01_build_image.sh

Change the parameters inside as you need then run the container:

./02_run_container.sh

In the docker container, run:

pip install -v -e .

We use full nuScenes dataset, please download and process dataset based on here. Finally, the data/ should be like this:

├── data
│   ├── nuscenes
│   │   ├── maps
│   │   ├── samples
│   │   ├── sweeps
│   │   ├── v1.0-test
|   |   ├── v1.0-trainval
│   │   ├── nuscenes_database
│   │   ├── nuscenes_infos_train.pkl
│   │   ├── nuscenes_infos_val.pkl
│   │   ├── nuscenes_infos_test.pkl
│   │   ├── nuscenes_dbinfos_train.pkl

Will release soon