config_file.yaml

inputs: 
    paths: 
        cam_path: "D:\\Github_repository\\Example_data\\Small_dataset\\Cameras_position.txt" # Indicate where you stored your omega phi kappa textfile containing your camera position 
        dem_path: "D:\\Github_repository\\Example_data\\Small_dataset\\DEM.tif" # Indicate where you stored your digital elevation model obtained from Metashape 
        orthophoto_path: "D:\\Github_repository\\Example_data\\Small_dataset\\Orthophotos\\*.tif" # Indicate the folder containing your orthorectified photos obtained from Metashape (don't forget the * mask before .tif) 
        ori: ["D:\\Github_repository\\Example_data\\Small_dataset\\Original_images"] # Indicate folders containing your original images used to create orthophotos. as these folders can be multiple, you are given the option to put them in a list
        mosaic_path: "D:\\Github_repository\\Example_data\\Small_dataset\\Orthomosaic.tif" # Indicate the path to the orthomosaic obtaied from metashape
        ground_truth_coordinates: "D:\\Github_repository\\Example_data\\Small_dataset\\gpscoords_plots.csv" # Indicate the file containing the ID and coordinates of your ground truth in the format ['id', 'x', 'y']

    settings: 
        number_of_processor: -1 # here you can set the number of processors you want to assign to this task 
        filter_radius: 1 # Indicate in meters the filtering radius around your sampling points on the ground 
        file_name: "my_project" # Indicate the name your files should carry as a prefix

outputs: 
    paths: 
        main_out: "D:\\Github_repository\\Output" # Indicate the folder that will contain all your outputs