Getting Started
Note
Data samples from this tutorial can be used under open licence.
CARS is available on Pypi and can be installed by:
pip install cars
Alternatively, you can use the provided Dockerfile to build a Docker image for CARS:
# Clone the CARS repository
git clone https://github.com/CNES/cars.git
cd cars
# Build the Docker image
docker build -t cars:latest .
Get and extract data samples from CARS repository:
wget https://raw.githubusercontent.com/CNES/cars/master/tutorials/data_gizeh.tar.bz2
wget https://raw.githubusercontent.com/CNES/cars/master/tutorials/data_gizeh.tar.bz2.md5sum
md5sum --status -c data_gizeh.tar.bz2.md5sum
tar xvfj data_gizeh.tar.bz2
Launch CARS for img1+img2 and img1+img3 pairs:
cars data_gizeh/configfile.json
Configuration example for data_gizeh:
{
"inputs": {
"sensors" : {
"one": {
"image": "img1.tif",
"geomodel": "img1.geom",
"color": "color1.tif"
},
"two": {
"image": "img2.tif",
"geomodel": "img2.geom"
}
}
},
"output": {
"directory": "outresults"
}
}
Go to the
data_gizeh/outresults/
output directory to get a DSM and color image associated.
Open the dsm.tif
DSM and color.tif
color image in QGIS software.
dsm.tif |
color.tif |
QGIS Mix |