VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection, Tensorflow
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VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection가 구현된 도커 입니다.
└── data/dataset
├── training <-- training data
| ├── image_2
| ├── label_2
| └── velodyne
└── validation <--- evaluation data
| ├── image_2
| ├── label_2
| └── velodyne
cd /voxelnet/data/dataset
wget https://s3.eu-central-1.amazonaws.com/avg-kitti/data_object_calib.zip
wget https://s3.eu-central-1.amazonaws.com/avg-kitti/data_object_velodyne.zip
wget https://s3.eu-central-1.amazonaws.com/avg-kitti/data_object_label_2.zip
wget https://s3.eu-central-1.amazonaws.com/avg-kitti/data_object_image_2.zip
unzip *
# training 폴더 생성과 하단에 image_2, label_2, velodyne생성 확인
ln -s training validation
동작 테스트를 위한 임시 방편
python3 /voxelnet/train.py
python3 /voxelnet/test.py
jupyter notebook with tensorboard 설치 되어있음
Content type
Image
Digest
Size
2.2 GB
Last updated
almost 8 years ago
docker pull adioshun/voxelnet