tum-p3dcv/quicksetup.sh at feat/add-fish-eye-cams · EmreKaratopuk/tum-p3dcv · GitHub

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#!/bin/bash

echo "WARNING: This script is only intended for TUM clusters. Do not run this on your own machine."
echo "Press ENTER to continue or Ctrl+C to cancel."
read

# Exit on error
set -e
# Exit on pipe failure
set -o pipefail
# Enable command tracing
set -x

sudo apt install unzip htop tmux git -y

# 1. First of all, the images
train_list=("2013_05_28_drive_0009_sync")
cam_list=("00" "01")

root_dir=kitti-data
data_2d_dir=data_2d_raw

mkdir -p $root_dir
mkdir -p $root_dir/$data_2d_dir

cd $root_dir

for sequence in ${train_list[@]}; do
    for camera in ${cam_list[@]}; do
	zip_file=${sequence}_image_${camera}.zip
        wget https://s3.eu-central-1.amazonaws.com/avg-projects/KITTI-360/data_2d_raw/${zip_file}
	unzip -d ${data_2d_dir} ${zip_file}
	rm ${zip_file}
    done
done

zip_file=data_timestamps_perspective.zip
wget https://s3.eu-central-1.amazonaws.com/avg-projects/KITTI-360/data_2d_raw/${zip_file}
unzip -d ${data_2d_dir} ${zip_file}
rm $zip_file

# 2. calibration and data poses
wget https://s3.eu-central-1.amazonaws.com/avg-projects/KITTI-360/384509ed5413ccc81328cf8c55cc6af078b8c444/calibration.zip
wget https://s3.eu-central-1.amazonaws.com/avg-projects/KITTI-360/89a6bae3c8a6f789e12de4807fc1e8fdcf182cf4/data_poses.zip

unzip calibration.zip
unzip -d data_poses data_poses.zip

rm calibration.zip
rm data_poses.zip

# 3. point clouds
wget https://s3.eu-central-1.amazonaws.com/avg-projects/KITTI-360/6489aabd632d115c4280b978b2dcf72cb0142ad9/data_3d_semantics.zip
unzip data_3d_semantics.zip
rm data_3d_semantics.zip

sudo rm -rf /usr/local/lib/python3.10/dist-packages/nerfstudio

cd ./nerfstudio
python3 -m pip install -e .
cd ..
echo "export PATH=/home/$(whoami)/.local/bin:\$PATH" >> ~/.bashrc