Extend CenterNet++-RT to replace backbone ResNet-50 with DLA-34.
Extend CenterNet++ to work with KITTI dataset
mkdir data && cd data
mkdir coco && cd coco
mkdir images && cd images
wget http://images.cocodataset.org/zips/train2017.zip http://images.cocodataset.org/zips/val2017.zip http://images.cocodataset.org/zips/test2017.zip
unzip train2017.zip && unzip val2017.zip && unzip test2017.zip
cd ..
wget http://images.cocodataset.org/annotations/annotations_trainval2017.zip
unzip annotations_trainval2017.zip
mkdir kitti && cd kitti && mkdir images && cd images
wget https://s3.eu-central-1.amazonaws.com/avg-kitti/data_object_image_2.zip https://s3.eu-central-1.amazonaws.com/avg-kitti/data_object_calib.zip https://s3.eu-central-1.amazonaws.com/avg-kitti/data_object_label_2.zip
unzip data_object_image_2.zip && unzip data_object_label_2.zip && unzip data_object_calib.zip
The dataset directory should be like this:
├── data
│ ├── coco
│ │ ├── annotations
│ │ ├── images
├── train2017
├── val2017
├── test2017
│ ├── kitti
│ │ ├── annotations
│ │ ├── images
├── training
├── testing
conda install pytorch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0 cudatoolkit=11.3 -c pytorch
python -m pip install matplotlib mmpycocotools tqdm mmcv-full terminaltables
python setup.py develop