General Options:

    --help
        Print this text

    --debug
        Print commands and exit

    --input [directory]
        Image input directory

    --output [directory]
        Output directory

    --sfm-type [string]
        Select SfM mode from Global SfM or Incremental SfM. Possible values:
        incremental
        global
    
    --run-openmvg
        Run OpenMVG SfM pipeline

    --run-openmvs
        Run OpenMVS MVS pipeline
    
Optional settings:

    --recompute
        Recompute everything

    --openmvg [path]
        Set OpenMVG install location
    
    --openmvs [path]
        Set OpenMVS install location

OpenMVG

    Image Listing:

        --cgroup
            Each view have it's own camera intrinsic parameters

        --flength [float]
            If your camera is not listed in the camera sensor database, you can set pixel focal length here.
            The value can be calculated by max(width-pixels, height-pixels) * focal length(mm) / Sensor width

        --cmodel [int]
            Camera model:
            1: Pinhole
            2: Pinhole Radial 1
            3: Pinhole Radial 3 (default)
            4: Pinhole brown
            5: Pinhole with a simple Fish-eye distortion

    Compute Features:

        --descmethod [string]
            Method to describe an image:
                SIFT (default)
                AKAZE_FLOAT
                AKAZE_MLDB

        --dpreset [string]
            Used to control the Image_describer configuration
                NORMAL
                HIGH
                ULTRA

    Compute Matches:

        --ratio [float]
            Nearest Neighbor distance ratio (smaller is more restrictive => Less false positives)
            Default: 0.8

        --geomodel [char]
            Compute Matches geometric model:
            f: Fundamental matrix filtering (default)
                For Incremental SfM
            e: Essential matrix filtering
                For Global SfM
            h: Homography matrix filtering
                For datasets that have same point of projection
    
        --matching [string]
            Compute Matches Nearest Matching Method:
            BRUTEFORCEL2: BruteForce L2 matching for Scalar based regions descriptor,
            ANNL2: Approximate Nearest Neighbor L2 matching for Scalar based regions descriptor,
            CASCADEHASHINGL2: L2 Cascade Hashing matching,
            FASTCASCADEHASHINGL2: (default)
                * L2 Cascade Hashing with precomputed hashed regions, (faster than CASCADEHASHINGL2 but use more memory).

    Incremental SfM:

        --icmodel [int]
            The camera model type that will be used for views with unknown intrinsic
            1: Pinhole
            2: Pinhole radial 1
            3: Pinhole radial 3 (default)
            4: Pinhole radial 3 + tangential 2
            5: Pinhole fisheye

    Global SfM:

        --grotavg [int]
            1: L1 rotation averaging [Chatterjee]
            2: L2 rotation averaging [Martinec] (default)

        --gtransavg [int]
            1: L1 translation averaging [GlobalACSfM]
            2: L2 translation averaging [Kyle2014]
            3: SoftL1 minimization [GlobalACSfM] (default)


OpenMVS

    --output-obj
        Make OpenMVS output obj instead of ply (default)

    DensifyPointCloud:

        --densify
            Enable dense reconstruction
            Default: Off
        
        --densify-only
            Only densify (duh)

        --dnumviews [int]
            Number of views used for depth-map estimation
            0 all neighbor views available
            Default: 4
    
        --dnumviewsfuse [int]
            Minimum number of images that agrees with an estimate during fusion in order to consider it
            inliner
            Default: 3

        --dreslevel [int]
            How many times to scale down the images before point cloud computation. For better accuracy/speed width
            high resolution images use 2 or even 3
            Default: 1
    
    ReconstructMesh:

        --rcthickness [int]
            ReconstructMesh Thickness Factor
            Default: 2
        
        --rcdistance [int]
            Minimum distance in pixels between the projection of two 3D points to consider them different while
            triangulating (0 to disable). Use to reduce amount of memory used with a penalty of lost detail
            Default: 2
    
    RefineMesh:

        --rmiterations [int]
            Number of RefineMesh iterations
            Default: 3

        --rmlevel [int]
            Times to scale down the images before mesh refinement
            Default: 0

        --rmcuda
            Use CUDA version of RefineMesh binary (will fall back the executable is not found)
    
    Texture Mesh:

        --txemptycolor [int]
            Color of surfaces OpenMVS TextureMesh is unable to texture.
            Default: 0 (black)