Some notebooks are available in the notebooks directory of the cars project. They can be used to compute intermediary results and statistics using the cars API.
Beware : Notebooks needs preparation step's outputs that have to be generated first and inserted in the notebooks parameters at the beginning.
The compute_dsm_memory_monitoring.ipynb notebook shows how to load data and plot graph to monitor memory consumption during execution of CARS compute_dsm step with Dask.
- The following parameters have to be set :
compute_dsm_output_dir: The output folder of the compute DSM stepnb_workers_per_pbs_jobs(Optional) : The number of workers process per pbs job (default : 2)nb_pbs_jobs: The number of pbs jobs (Number of workers divided by 'nb_workers_per_pbs_jobs')
The epipolar_distributions.ipynb notebook enables to visualize the distributions of the epipolar error and disparity estimated from the matches computed in the preparation step.
- The following parameters have to be set :
cars_home: Path to the cars folder.content_dir: Path to the directory containing the content.json file of the prepare step output.
The lowres_dem_fit.ipynb notebook details how to estimate and apply the transform to fit A DSM to the low resolution initial DEM. This method is currently implemented in cars.
- The following parameters have to be set :
cars_home: Path to the cars folder.content_dir: Path to the directory containing the content.json file of the prepare step output.
The step_by_step_compute_dsm.ipynb notebook explains how to run step by step DSM computation with CARS, starting from the prepare step ouptut folder.
- The following parameters have to be set :
cars_home: Path to the cars folder.content_dir: Path to the directory containing the content.json file of the prepare step output.roi: ROI to process (path to a vector file, raster file or bounding box), as expected by cars_cli.output_dir: Path to output dir where to save figures and data.