15 releases (9 breaking)

0.10.0 Sep 25, 2023
0.9.3 May 30, 2023
0.9.1 Apr 19, 2023
0.8.0 Sep 17, 2021
0.1.2 Sep 3, 2020

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CLI for surface reconstruction of particle data from SPH simulations, written in Rust. For a the library used by the CLI see the splashsurf_lib crate.

Image of the original particle data Image of a coarse reconstructed surface mesh Image of a fine reconstructed surface mesh

splashsurf is a tool to reconstruct surfaces meshes from SPH particle data. The first image shows the visualization of a set of particles from an SPH fluid simulation from SPlisHSPlasH. The particle radius is 0.025. As the rendering of a fluid should not look like a ball pit, a surface mesh has to be reconstructed from this particle data. The next image shows a reconstructed surface mesh of the fluid produced by splashsurf with a "smoothing length" of 2.2 times the particles radius and a cell size of 1.1 times the particle radius. The third image shows a finer reconstruction with a cell size of 0.45 times the particle radius. These surface meshes can then be fed into 3D rendering software such as Blender to generate beautiful water animations. The result might look something like this:

Rendered water animation

Note: This animation does not show the recently added smoothing features of the tool, for more recent rendering see this video.


The splashsurf CLI

The following sections mainly focus on the CLI of splashsurf. For more information on the library, see the corresponding readme in the splashsurf_lib subfolder or the splashsurf_lib crate on crates.io.


This is CLI to run a fast marching cubes based surface reconstruction for SPH fluid simulations (e.g. performed with SPlisHSPlasH). The output of this tool is the reconstructed triangle surface mesh of the fluid. At the moment it supports computing normals on the surface using SPH gradients and interpolating scalar and vector particle attributes to the surface. To get rid of the typical bumps from SPH simulations, it supports a weighted Laplacian smoothing approach detailed below. As input, it supports reading particle positions from .vtk/.vtu, .bgeo, .ply, .json and binary .xyz (i.e. files containing a binary dump of a particle position array) files. Required parameters to perform a reconstruction are the kernel radius and particle radius (to compute the volume of particles) used for the original SPH simulation as well as the marching cubes resolution (a default iso-surface threshold is pre-configured).

Domain decomposition

A naive dense marching cubes reconstruction allocating a full 3D array over the entire fulid domain quickly becomes infeasible for larger simulations. Instead, one could use a global hashmap where only cubes that contain non-zero fluid density values are allocated. This approach is used in splashsurf if domain decomposition is disabled completely. However, the global hashmap approach does not lead to good cache locality and is not well suited for parallelization (even specialized parallel map implementations like dashmap have their performance limitations). To improve on this situation splashsurf currently implements two domain decomposition approaches.

Octree-based decomposition

The octree-based decomposition is currently the default approach if no other option is specified but will probably be replaced by the grid-based approach described below. For the octree-based decomposition an octree is built over all particles with an automatically determined target number of particles per leaf node. For each leaf node, a hashmap is used like outlined above. As each hashmap is smaller, cache locality is improved and due to the decomposition, each thread can work on its own local hashmap. Finally, all surface patches are stitched together by walking the octree back up, resulting in a closed surface.

Downsides of this approach are that the octree construction starting from the root and stitching back towards the root limit the amount of paralleism during some stages.

Subdomain grid-based decomposition

Since version 0.10.0, splashsurf implements a new domain decomposition approach called the "subdomain grid" approach, toggeled with the --subdomain-grid=on flag. Here, the goal is to divide the fluid domain into subdomains with a fixed number of marching cubes cells, by default 64x64x64 cubes. For each subdomain a dense 3D array is allocated for the marching cubes cells. Of course, only subdomains that contain fluid particles are actually allocated. For subdomains that contain only a very small number of fluid particles (less th 5% of the largest subdomain) a hashmap is used instead to not waste too much storage. As most domains are dense however, the marching cubes triangulation per subdomain is very fast as it can make full use of cache locality and the entire procedure is trivially parallelizable. For the stitching we ensure that we perform floating point operations in the same order at the subdomain boundaries (this can be ensured without synchronization). If the field values on the subdomain boundaries are identical from both sides, the marching cubes triangulations will be topologically compatible and can be merged in a post-processing step that is also parallelizable. Overall, this approach should almost always be faster than the previous octree-based aproach.


For small numbers of fluid particles (i.e. in the low thousands or less) the domain decomposition implementation may have worse performance due to the task based parallelism and the additional overhead of domain decomposition and stitching. In this case, you can try to disable the domain decomposition. The reconstruction will then use a global approach that is parallelized using thread-local hashmaps. For larger quantities of particles the decomposition approach is expected to be always faster.

Due to the use of hash maps and multi-threading (if enabled), the output of this implementation is not deterministic.

As shown below, the tool can handle the output of large simulations. However, it was not tested with a wide range of parameters and may not be totally robust against corner-cases or extreme parameters. If you experience problems, please report them together with your input data.


The command-line tool can be built from this repository but is also available on crates.io. If you have a Rust toolchain installed you can install splashsurf with the command

cargo install splashsurf


Good settings for the surface reconstruction depend on the original simulation and can be influenced by different conventions of different simulators. The following settings appear to work well with SPlisHSPlasH:

  • particle-radius: should be a bit larger than the particle radius used for the actual simulation. A radius around 1.4 to 1.6 times larger than the original SPH particle radius seems to be appropriate.
  • smoothing-length: should be set around 1.2. Larger values smooth out the iso-surface more but also artificially increase the fluid volume.
  • surface-threshold: a good value depends on the selected particle-radius and smoothing-length and can be used to counteract a fluid volume increase e.g. due to a larger particle radius. In combination with the other recommended values a threshold of 0.6 seemed to work well.
  • cube-size usually should not be chosen larger than 1.0 to avoid artifacts (e.g. single particles decaying into rhomboids), start with a value in the range of 0.75 to 0.5 and decrease/increase it if the result is too coarse or the reconstruction takes too long.

Weighted surface smoothing

The CLI implements the paper "Weighted Laplacian Smoothing for Surface Reconstruction of Particle-based Fluids" (Löschner, Böttcher, Jeske, Bender; 2023) which proposes a fast smoothing approach to avoid typical bumpy surfaces while preventing loss of volume that typically occurs with simple smoothing methods. The following images show a rendering of a typical surface reconstruction (on the right) with visible bumps due to the particles compared to the same surface reconstruction with weighted smoothing applied (on the left):

Image of the original surface reconstruction without smoothing (bumpy & rough) Image of the surface reconstruction with weighted smoothing applied (nice & smooth)

You can see this rendering in motion in this video. To apply this smoothing, we recommend the following settings:

  • --mesh-smoothing-weights=on: This enables the use of special weights during the smoothing process that preserve fluid details. For more information we refer to the paper.
  • --mesh-smoothing-iters=25: This enables smoothing of the output mesh. The individual iterations are relatively fast and 25 iterations appeared to strike a good balance between an initially bumpy surface and potential over-smoothing.
  • --mesh-cleanup=on/--decimate-barnacles=on: On of the options should be used when applying smoothing, otherwise artifacts can appear on the surface (for more details see the paper). The mesh-cleanup flag enables a general purpose marching cubes mesh cleanup procedure that removes small sliver triangles everywhere on the mesh. The decimate-barnacles enables a more targeted decimation that only removes specific triangle configurations that are problematic for the smoothing. The former approach results in a "nicer" mesh overall but can be slower than the latter.
  • --normals-smoothing-iters=10: If normals are being exported (with --normals=on), this results in an even smoother appearance during rendering.

For the reconstruction parameters in conjunction with the weighted smoothing we recommend parameters close to the simulation parameters. That means selecting the same particle radius as in the simulation, a corresponding smoothing length (e.g. for SPlisHSPlasH a value of 2.0), a surface-threshold between 0.6 and 0.7 and a cube size usually between 0.5 and 1.0.

A full invocation of the tool might look like this:

splashsurf reconstruct particles.vtk -r=0.025 -l=2.0 -c=0.5 -t=0.6 --subdomain-grid=on --mesh-cleanup=on --mesh-smoothing-weights=on --mesh-smoothing-iters=25 --normals=on --normals-smoothing-iters=10

Benchmark example

For example:

splashsurf reconstruct canyon_13353401_particles.xyz -r=0.011 -c=1.5 -l=2.0 -t=0.6 --subdomain-grid=on

With these parameters, a scene with 13353401 particles is reconstructed in less than 3 seconds on a Ryzen 9 5950X. The output is a mesh with 6069576 triangles.

[23:44:58.432][INFO] splashsurf v0.10.0 (splashsurf)
[23:44:58.432][INFO] Called with command line: splashsurf reconstruct canyon_13353401_particles.xyz -r=0.011 -c=1.5 -l=2.0 -t=0.6 --subdomain-grid=on
[23:44:58.432][INFO] Using single precision (f32) for surface reconstruction.
[23:44:58.432][INFO] Reading particle dataset from "canyon_13353401_particles.xyz"...
[23:44:58.515][INFO] Successfully read dataset with 13353401 particle positions.
[23:44:58.520][INFO] Minimal enclosing bounding box of particles was computed as: AxisAlignedBoundingBox { min: [-25.0060978, -5.0146289, -40.0634613], max: [24.4994926, 18.3062096, 39.7757950] }
[23:44:58.520][INFO] The ghost margin volume is 42.38% of the subdomain volume
[23:44:58.520][INFO] The ghost margin is 3.03 MC cells or 0.05 subdomains thick
[23:44:58.520][INFO] Number of subdomains: 82156 (47x23x76)
[23:44:58.520][INFO] Number of MC cells per subdomain: 262144 (64x64x64)
[23:44:58.520][INFO] Number of MC cells globally: 21536702464 (3008x1472x4864)
[23:44:58.520][INFO] Starting classification of particles into subdomains.
[23:44:58.601][INFO] Starting computation of global density vector.
[23:44:59.548][INFO] Largest subdomain has 167861 particles.
[23:44:59.548][INFO] Subdomains with 3358 or less particles will be considered sparse.
[23:44:59.548][INFO] Starting reconstruction (level-set evaluation and local triangulation).
[23:45:00.876][INFO] Starting stitching of subdomains to global mesh.
[23:45:00.946][INFO] Global mesh has 3038116 vertices and 6069576 triangles.
[23:45:00.996][INFO] Writing surface mesh to "canyon_surface.vtk"...
[23:45:00.996][INFO] Writing mesh with 3038116 vertices and 6069576 cells to "canyon_surface.vtk"...
[23:45:01.175][INFO] Successfully wrote mesh to file.
[23:45:01.175][INFO] Done.
[23:45:01.188][INFO] Successfully finished processing all inputs.
[23:45:01.188][INFO] Timings:
[23:45:01.188][INFO] reconstruct subcommand: 100.00%, 2756.58ms avg, 1 call (total: 2.757s)
[23:45:01.188][INFO]   surface reconstruction: 100.00%, 2756.54ms avg, 1 call (total: 2.757s)
[23:45:01.188][INFO]     loading particle positions: 3.00%, 82.68ms avg, 1 call (total: 0.083s)
[23:45:01.188][INFO]     compute minimum enclosing aabb: 0.21%, 5.91ms avg, 1 call (total: 0.006s)
[23:45:01.188][INFO]     surface reconstruction subdomain-grid: 88.17%, 2430.35ms avg, 1 call (total: 2.430s)
[23:45:01.188][INFO]       decomposition: 3.29%, 80.06ms avg, 1 call (total: 0.080s)
[23:45:01.188][INFO]         classifying particles: 21.22%, 16.99ms avg, 1 call (total: 0.017s)
[23:45:01.188][INFO]         merging TL per cell particle counters: 0.18%, 0.14ms avg, 1 call (total: 0.000s)
[23:45:01.188][INFO]         initializing flat subdomain data and index mapping: 0.08%, 0.06ms avg, 1 call (total: 0.000s)
[23:45:01.188][INFO]         copying particles to subdomains: 64.65%, 51.76ms avg, 1 call (total: 0.052s)
[23:45:01.188][INFO]         sort subdomain particles: 13.74%, 11.00ms avg, 1 call (total: 0.011s)
[23:45:01.188][INFO]       compute_global_density_vector: 39.00%, 947.82ms avg, 1 call (total: 0.948s)
[23:45:01.188][INFO]         subdomain density computation:100.00%, 20.58ms avg, 1275 calls (total: 26.235s)
[23:45:01.188][INFO]           collect subdomain data: 0.67%, 0.14ms avg, 1275 calls (total: 0.175s)
[23:45:01.188][INFO]           initialize particle filter: 0.27%, 0.06ms avg, 1275 calls (total: 0.072s)
[23:45:01.188][INFO]           neighborhood_search_spatial_hashing_flat_filtered: 88.48%, 18.21ms avg, 1275 calls (total: 23.214s)
[23:45:01.188][INFO]             sequential_generate_cell_to_particle_map: 4.07%, 0.74ms avg, 1275 calls (total: 0.946s)
[23:45:01.188][INFO]             write particle neighbors: 95.09%, 17.31ms avg, 1275 calls (total: 22.074s)
[23:45:01.188][INFO]           sequential_compute_particle_densities_filtered: 10.30%, 2.12ms avg, 1275 calls (total: 2.702s)
[23:45:01.188][INFO]           update global density values: 0.26%, 0.05ms avg, 1275 calls (total: 0.068s)
[23:45:01.188][INFO]       reconstruction: 54.63%, 1327.61ms avg, 1 call (total: 1.328s)
[23:45:01.188][INFO]         subdomain reconstruction (sparse):1.95%, 0.85ms avg, 899 calls (total: 0.768s)
[23:45:01.188][INFO]           density grid loop: 65.87%, 0.56ms avg, 899 calls (total: 0.506s)
[23:45:01.188][INFO]           mc triangulation loop: 25.02%, 0.21ms avg, 899 calls (total: 0.192s)
[23:45:01.188][INFO]         subdomain reconstruction (dense):98.05%, 102.70ms avg, 376 calls (total: 38.617s)
[23:45:01.188][INFO]           density grid loop: 94.47%, 97.03ms avg, 376 calls (total: 36.482s)
[23:45:01.188][INFO]           mc triangulation loop: 5.19%, 5.33ms avg, 376 calls (total: 2.005s)
[23:45:01.188][INFO]       stitching: 2.84%, 69.04ms avg, 1 call (total: 0.069s)
[23:45:01.188][INFO]         surface patch offset scan: 0.01%, 0.01ms avg, 1 call (total: 0.000s)
[23:45:01.188][INFO]         copy interior verts/tris and deduplicate exterior verts: 83.51%, 57.65ms avg, 1 call (total: 0.058s)
[23:45:01.188][INFO]     write surface mesh to file: 6.50%, 179.17ms avg, 1 call (total: 0.179s)
[23:45:01.188][INFO]       writing mesh: 99.98%, 179.14ms avg, 1 call (total: 0.179s)

Sequences of files

You can either process a single file or let the tool automatically process a sequence of files. A sequence of files is indicated by specifying a filename with a {} placeholder pattern in the name. The tool will treat the placeholder as a (\d+) regex, i.e. a group matching to at least one digit. This allows for any zero padding as well as non-zero padded incrementing indices. All files in the input path matching this pattern will then be processed in natural sort order (i.e. silently skipping missing files in the sequence). Note that the tool collects all existing filenames as soon as the command is invoked and does not update the list while running. The first and last file of a sequences that should be processed can be specified with the -s/--start-index and/or -e/--end-index arguments.

By specifying the flag --mt-files=on, several files can be processed in parallel. If this is enabled, you should also set --mt-particles=off as enabling both will probably degrade performance. The combination of --mt-files=on and --mt-particles=off can be faster if many files with only few particles have to be processed.

The number of threads can be influenced using the --num-threads/-n argument or the RAYON_NUM_THREADS environment variable

NOTE: Currently, some functions do not have a sequential implementation and always parallelize over the particles or the mesh/domain. This includes:

  • the new "subdomain-grid" domain decomposition approach, as an alternative to the previous octree-based approach
  • some post-processing functionality (interpolation of smoothing weights, interpolation of normals & other fluid attributes)

Using the --mt-particles=off argument does not have an effect on these parts of the surface reconstruction. For now, it is therefore recommended to not parallelize over multiple files if this functionality is used.

Input file formats


Legacy VTK files with the ".vtk" extension are loaded using vtkio. The VTK file is loaded as a big endian binary file and has to contain an "Unstructured Grid" with either f32 or f64 vertex coordinates. Any other data or attributes are ignored except for those attributes that were specified with the --interpolate-attributes command line argument. Currently supported attribute data types are scalar integers, floats and three-component float vectors. Only the first "Unstructured Grid" is loaded, other entities are ignored.

Not that currently only the "pure" v4.2 legacy format is supported as documented on here. This corresponds to the --output-format vtk42 flag of the meshio convert tool.


VTK XML files with the ".vtu" extension are loaded using vtkio. Currently only VTU files using ASCII or encoded binary are supported. Files using "raw" binary sections (i.e. a <AppendedData encoding="raw">...</AppendedData> block) are not supported by vtkio at the moment.


Files with the ".bgeo" extension are loaded using a custom parser. Note, that only the "old" BGEOV format is supported (which is the format supported by "Partio"). Both uncompressed and (gzip) compressed files are supported. Only points and their implicit position vector attributes are loaded from the file. All other entities (e.g. vertices) and other attributes are ignored/discarded. Notably, the parser supports BGEO files written by SPlisHSPlasH ("Partio export").


Files with the ".ply" extension are loaded using ply-rs. The PLY file has to contain an element called "vertex" with the properties x, y and z of type f32/"Property::Float". Any other properties or elements are ignored.


Files with the ".xyz" extension are interpreted as raw bytes of f32 values in native endianness of the system. Three consecutive f32s represent a (x,y,z) coordinate triplet of a fluid particle.


Files with the ".json" extension are interpreted as serializations of a Vec<[f32; 3]> where each three component array represents a particle position. This corresponds to a JSON file with a structure like this for example:

    [1.0, 2.0, 3.0],
    [1.0, 2.0, 3.0],

Output file formats

Currently, only VTK and OBJ formats are supported to store the reconstructed surface meshes. Both formats support output of normals but only VTK supports additional fields such as interpolated scalar or vector fields. The file format is inferred from the extension of output filename.

All command line options

The reconstruct command

splashsurf-reconstruct (v0.10.0) - Reconstruct a surface from particle data

Usage: splashsurf reconstruct [OPTIONS] --particle-radius <PARTICLE_RADIUS> --smoothing-length <SMOOTHING_LENGTH> --cube-size <CUBE_SIZE> <INPUT_FILE_OR_SEQUENCE>

  -q, --quiet    Enable quiet mode (no output except for severe panic messages), overrides verbosity level
  -v...          Print more verbose output, use multiple "v"s for even more verbose output (-v, -vv)
  -h, --help     Print help
  -V, --version  Print version

  -o, --output-file <OUTPUT_FILE>  Filename for writing the reconstructed surface to disk (supported formats: VTK, PLY, OBJ, default: "{original_filename}_surface.vtk")
      --output-dir <OUTPUT_DIR>    Optional base directory for all output files (default: current working directory)
  -s, --start-index <START_INDEX>  Index of the first input file to process when processing a sequence of files (default: lowest index of the sequence)
  -e, --end-index <END_INDEX>      Index of the last input file to process when processing a sequence of files (default: highest index of the sequence)
  <INPUT_FILE_OR_SEQUENCE>     Path to the input file where the particle positions are stored (supported formats: VTK 4.2, VTU, binary f32 XYZ, PLY, BGEO), use "{}" in the filename to indicate a placeholder for a sequence

Numerical reconstruction parameters:
  -r, --particle-radius <PARTICLE_RADIUS>
          The particle radius of the input data
      --rest-density <REST_DENSITY>
          The rest density of the fluid [default: 1000.0]
  -l, --smoothing-length <SMOOTHING_LENGTH>
          The smoothing length radius used for the SPH kernel, the kernel compact support radius will be twice the smoothing length (in multiplies of the particle radius)
  -c, --cube-size <CUBE_SIZE>
          The cube edge length used for marching cubes in multiplies of the particle radius, corresponds to the cell size of the implicit background grid
  -t, --surface-threshold <SURFACE_THRESHOLD>
          The iso-surface threshold for the density, i.e. the normalized value of the reconstructed density level that indicates the fluid surface (in multiplies of the rest density) [default: 0.6]
      --particle-aabb-min <X_MIN> <Y_MIN> <Z_MIN>
          Lower corner of the domain where surface reconstruction should be performed (requires domain-max to be specified)
      --particle-aabb-max <X_MIN> <Y_MIN> <Z_MIN>
          Upper corner of the domain where surface reconstruction should be performed (requires domain-min to be specified)

Advanced parameters:
  -d, --double-precision=<off|on>  Enable the use of double precision for all computations [default: off] [possible values: off, on]
      --mt-files=<off|on>          Enable multi-threading to process multiple input files in parallel (NOTE: Currently, the subdomain-grid domain decomposition approach and some post-processing functions including interpolation do not have sequential versions and therefore do not work well with this option enabled) [default: off] [possible values: off, on]
      --mt-particles=<off|on>      Enable multi-threading for a single input file by processing chunks of particles in parallel [default: on] [possible values: off, on]
  -n, --num-threads <NUM_THREADS>  Set the number of threads for the worker thread pool

Domain decomposition (octree or grid) parameters:
          Enable spatial decomposition using a regular grid-based approach [default: off] [possible values: off, on]
      --subdomain-cubes <SUBDOMAIN_CUBES>
          Each subdomain will be a cube consisting of this number of MC cube cells along each coordinate axis [default: 64]
          Enable spatial decomposition using an octree (faster) instead of a global approach [default: on] [possible values: off, on]
          Enable stitching of the disconnected local meshes resulting from the reconstruction when spatial decomposition is enabled (slower, but without stitching meshes will not be closed) [default: on] [possible values: off, on]
      --octree-max-particles <OCTREE_MAX_PARTICLES>
          The maximum number of particles for leaf nodes of the octree, default is to compute it based on the number of threads and particles
      --octree-ghost-margin-factor <OCTREE_GHOST_MARGIN_FACTOR>
          Safety factor applied to the kernel compact support radius when it's used as a margin to collect ghost particles in the leaf nodes when performing the spatial decomposition
          Enable computing particle densities in a global step before domain decomposition (slower) [default: off] [possible values: off, on]
          Enable computing particle densities per subdomain but synchronize densities for ghost-particles (faster, recommended). Note: if both this and global particle density computation is disabled the ghost particle margin has to be increased to at least 2.0 to compute correct density values for ghost particles [default: on] [possible values: off, on]

Interpolation & normals:
          Enable omputing surface normals at the mesh vertices and write them to the output file [default: off] [possible values: off, on]
          Enable computing the normals using SPH interpolation instead of using the area weighted triangle normals [default: off] [possible values: off, on]
      --normals-smoothing-iters <NORMALS_SMOOTHING_ITERS>
          Number of smoothing iterations to run on the normal field if normal interpolation is enabled (disabled by default)
          Enable writing raw normals without smoothing to the output mesh if normal smoothing is enabled [default: off] [possible values: off, on]
      --interpolate-attributes <INTERPOLATE_ATTRIBUTES>
          List of point attribute field names from the input file that should be interpolated to the reconstructed surface. Currently this is only supported for VTK and VTU input files

          Enable MC specific mesh decimation/simplification which removes bad quality triangles typically generated by MC [default: off] [possible values: off, on]
          Enable decimation of some typical bad marching cubes triangle configurations (resulting in "barnacles" after Laplacian smoothing) [default: off] [possible values: off, on]
          Enable keeping vertices without connectivity during decimation instead of filtering them out (faster and helps with debugging) [default: off] [possible values: off, on]
      --mesh-smoothing-iters <MESH_SMOOTHING_ITERS>
          Number of smoothing iterations to run on the reconstructed mesh
          Enable feature weights for mesh smoothing if mesh smoothing enabled. Preserves isolated particles even under strong smoothing [default: off] [possible values: off, on]
      --mesh-smoothing-weights-normalization <MESH_SMOOTHING_WEIGHTS_NORMALIZATION>
          Normalization value from weighted number of neighbors to mesh smoothing weights [default: 13.0]
          Enable writing the smoothing weights as a vertex attribute to the output mesh file [default: off] [possible values: off, on]
          Enable trying to convert triangles to quads if they meet quality criteria [default: off] [possible values: off, on]
      --quad-max-edge-diag-ratio <QUAD_MAX_EDGE_DIAG_RATIO>
          Maximum allowed ratio of quad edge lengths to its diagonals to merge two triangles to a quad (inverse is used for minimum) [default: 1.75]
      --quad-max-normal-angle <QUAD_MAX_NORMAL_ANGLE>
          Maximum allowed angle (in degrees) between triangle normals to merge them to a quad [default: 10]
      --quad-max-interior-angle <QUAD_MAX_INTERIOR_ANGLE>
          Maximum allowed vertex interior angle (in degrees) inside of a quad to merge two triangles to a quad [default: 135]
      --mesh-aabb-min <X_MIN> <Y_MIN> <Z_MIN>
          Lower corner of the bounding-box for the surface mesh, triangles completely outside are removed (requires mesh-aabb-max to be specified)
      --mesh-aabb-max <X_MIN> <Y_MIN> <Z_MIN>
          Upper corner of the bounding-box for the surface mesh, triangles completely outside are removed (requires mesh-aabb-min to be specified)
          Enable clamping of vertices outside of the specified mesh AABB to the AABB (only has an effect if mesh-aabb-min/max are specified) [default: off] [possible values: off, on]
          Enable writing the raw reconstructed mesh before applying any post-processing steps [default: off] [possible values: off, on]

Debug options:
      --output-dm-points <OUTPUT_DM_POINTS>
          Optional filename for writing the point cloud representation of the intermediate density map to disk
      --output-dm-grid <OUTPUT_DM_GRID>
          Optional filename for writing the grid representation of the intermediate density map to disk
      --output-octree <OUTPUT_OCTREE>
          Optional filename for writing the octree used to partition the particles to disk
          Enable checking the final mesh for holes and non-manifold edges and vertices [default: off] [possible values: off, on]
          Enable checking the final mesh for holes [default: off] [possible values: off, on]
          Enable checking the final mesh for non-manifold edges and vertices [default: off] [possible values: off, on]
          Enable debug output for the check-mesh operations (has no effect if no other check-mesh option is enabled) [default: off] [possible values: off, on]

The convert subcommand

Allows conversion between particle file formats and between mesh file formats. For particles VTK, BGEO, PLY, XYZ, JSON -> VTK is supported. For meshes only VTK, PLY -> VTK, OBJ is supported.

splashsurf-convert (v0.9.0) - Convert particle or mesh files between different file formats

Usage: splashsurf.exe convert [OPTIONS] -o <OUTPUT_FILE>

      --particles <INPUT_PARTICLES>
          Path to the input file with particles to read (supported formats: .vtk, .vtu, .bgeo, .ply, .xyz, .json)
      --mesh <INPUT_MESH>
          Path to the input file with a surface to read (supported formats: .vtk, .ply)
          Path to the output file (supported formats for particles: .vtk, .bgeo, .json, for meshes: .obj, .vtk)
          Whether to overwrite existing files without asking
      --domain-min <X_MIN> <Y_MIN> <Z_MIN>
          Lower corner of the domain of particles to keep (requires domain-max to be specified)
      --domain-max <X_MIN> <Y_MIN> <Z_MIN>
          Lower corner of the domain of particles to keep (requires domain-min to be specified)
  -h, --help
          Print help
  -V, --version
          Print version


For license information of this project, see the LICENSE file. The splashsurf logo is based on two graphics (1, 2) published on SVG Repo under a CC0 ("No Rights Reserved") license. The dragon model shown in the images on this page are part of the "Stanford 3D Scanning Repository".


~419K SLoC