Point Cloud Visualizer
Points are not drawn in viewport on macOS in Blender 3.5
- PCV is not yet Metal ready, switch
GPU Backend
inBlender Preferences > System
toOpenGL
, Save Preferences and restart Blender. Metal support will be added as soon as possible.
Platform Compatibility
- works on Windows, Linux and macOS
- see Optional Libraries Compatibility for more details on 3rd party libraries
Blender Compatibility
- PCV 2.0 is for Blender 3.0 and later, Blender 3.3 LTS is recommended
- If using Blender 3.5 on macOS, switch
GPU Backend
inBlender Preferences > System
toOpenGL
, Metal backend is not yet supported, but will be as soon as possible.
About Optional Libraries
- NONE of them is required for regular use, majority of PCV functionality has no dependencies
- functionality that depends on any library is marked in PCV panel with plugin icon
- all of them are installed from The Python Package Index (PyPI) using
pip
command - they are installed to user
site-packages
directory as defined insite.getusersitepackages()
, exact location differs for each platform, if you clickRead Me First
button in PCV preferences, it will print out path to user site-packages directory
Where are Optional Libraries used?
-
Open3D
: filtersVoxel Downsample
,Estimate Normals
,Point Set Registration
andSurface Reconstruction
-
laspy
: import LAS files -
laszip
: import LAZ files (together withlaspy
) -
pye57
: import E57 files -
PyMeshLab
: import E57 files and filterCurvature
-
SciPy
: filtersPoisson Disk Elimination
,Remove Duplicates
andVoxel Downsample
(only ifPreserve Scalars
option is enabled)
Optional Libraries Compatibility
-
Windows
- do NOT install
Open3D
andPyMeshLab
together, Blender will crash when one and the other is used (see documentation for possible workaround) - do NOT install
Open3D
andpye57
together, Blender will crash when one and the other is used (see documentation for possible workaround)
- do NOT install
-
macOS
-
Open3D
,PyMeshLab
andlaszip
are available for macOS 10.15 and later -
Open3D
might require you to installlibomp
, see documentation for details (might not be required in future if it is a bug and libomp will be included in installation files) - on Apple Silicon you need to use Blender Intel build to install and use
PyMeshLab
-
pye57
have to be built from source, see step by step guide in PCV full documentation
-
-
Linux
- no known limitations/problems
Large Datasets
- currently, PCV needs to load all points from source file and keep them in system memory
- during loading, system memory usage will peak quite high, 4 (and more in some cases) times the runtime usage
- for display, PCV need to upload all points that are going to be displayed (you can control amount with PCV > Display > Percentage slider) to gpu memory
-
to determine approximate maximum number of points your gpu can display at once you can use calculator in PCV preferences (for example 8GB gpu can display ~300M points with default shader and disabled scalars), calculator formula is simple:
ram = 8192 # MB b = (1024*1024) * ram # bytes # default shader uses 3x float32 for point location and 4x float32 for color (rgba) # float32 takes 4 bytes, hence 3*4 + 4*4 bytes n = int(b / (12 + 16)) print(n) # 306783378
trying to display more points (i.e. uploading more data than gpu memory can contain) will result in Blender crash or freeze
- when extremely big data need to be loaded and is not required to work with exactly all points, alternative loading methods
Every Nth
orSlice
can be used to reduce number of points during loading
Where is documentation?
- latest documentation is always here: Point Cloud Visualizer - documentation
Is there a trial version?
- no, sorry. it is not possible
Installation
- download latest version
point_cloud_visualizer-###.zip
- install as regular blender addon: https://docs.blender.org/manual/en/latest/editors/preferences/addons.html#installing-add-ons
How to update to a new PCV version?
- download latest version
point_cloud_visualizer-###.zip
- start Blender, go to Preferences > Add-ons and find PCV in list
- expand by clicking left corner triangle
- disable PCV unchecking checkbox next to addon name
- click
Remove
button - click
Save Preferences
button at bottom (skip if you haveAuto-Save Preferences
enabled) - quit Blender
- start Blender
- install new PCV version and enable
How to install Optional Libraries?
- please see compatibility notes for your platform in documentation
- go to Preferences > Add-ons and find PCV
- expand to see PCV preferences
- click
Install LIBRARY_NAME
button - wait until Blender is responsive again (if you start Blender from command line you can observe progress)
- restart Blender after each installed library
Points looks weird in viewport, they flicker or look "stratified"..
- points overall dimensions or locations are too big to fit into 32bit float values required for display
- enable
Prevent Floating Point Precision Errors
in PCV > Load panel before loading file (or enable and click reload button) - points will be scaled and moved to fit in precision range during loading
- this transformation can be unapplied on file export back to original dimensions and locations
I got "Missing vertex normals" and "Missing vertex colors" warning messages under Shader drop down menu
- loaded data does not have normals or colors so currently selected shader cannot work properly, missing values are substitued by default normal or colors (exact values are in PCV > Load panel)
Points are missing when blend file is saved and reopened?
- PCV does not store loaded points in blend file because there is no suitable data type available. only PCV settings and path to data file is stored. when blend file is reopened, points need to loaded or imported from linked file again by clicking
Draw
(PLY files) orImport
(other file types) button. - if you are working with multiple PLY clouds at once, you can use PCV 3d viewport panel (viewport header top right corner: cloud icon) to
Draw
all PCV instances in scene at once - any changes to points made with PCV have to be saved using Export panel to PLY before quiting Blender or loading blend file otherwise will be lost
How to render points in Cycles or Eeveee (with colors)?
- points need to be converted to Blender native data type that can be rendered in engine. meshes, particles, instances, Geometry Nodes instances/points, see PCV > Convert panel
- Converting points will create suitable color data and adds basic material using it so colors are preserved and available for render engine
- best option for Cycles (in terms of performance and memory usage) is PCV > Convert > Type:
Points From Mesh (Geometry Nodes)
, Cycles will render result as spheres (radius can be controlled)
Sales | 1400+ |
Customer Ratings | 11 |
Average Rating | |
Published | about 3 years ago |
Blender Version | 2.81, 2.82, 2.83, 2.9, 2.91, 2.92, 2.93, 3.0, 3.1, 3.2, 3.3, 3.4, 3.5 |
License | GPL |

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Tags:
Visualization, laser scan, lidar, scan, cloud, pointcloud, 3D Scan, importer, e57, photogrammetry, 3dscan, retopology, import, point cloud, ply, pts, scanning, point, reconstruction