ReturnsĮmpty – True if no vertices defined Return type The size of the axis aligned bounds ReturnsĮxtents – Edge length of axis aligned bounding box Return typeĪre there any vertices defined or not. If file name is passed this is not required property extents  None, if you would like this function to return the export blob Parametersįile_type ( str) – Which file type to export as. :param file_obj: str, file name where to save the pointcloud If file_obj is a filename, file will be written there. Int export ( file_obj = None, file_type = None, ** kwargs ) Įxport the current pointcloud to a file object. ReturnsĬopied – Copy of current point cloud Return type

Issues and so may be slow on initial operations untilĬurrent object will not have its cache cleared. Safely get a copy of the current point cloud.Ĭopied objects will have emptied caches to avoid memory (len(self.vertices), 4) np.uint8 property convex_hull Ĭonvex_hull – A watertight mesh of the hull of the points Return type The axis aligned bounds of the PointCloud Returnsīounds – Minimum, Maximum verteex Return typeĬentroid – Mean vertex position Return typeĬolors – Per- point RGBA color Return type Transform ( ( 4, 4 ) float) – Homogeneous transformation to apply to PointCloud property bounds  Metadata ( dict or None) – Metadata about pointsĪpply a homogeneous transformation to the PointCloud Vertices ( ( n, 3 ) float) – Points in spaceĬolors ( ( n, 4 ) uint8 or None) – RGBA colors for each point Load an array of points into a PointCloud object. _init_ ( vertices, colors = None, metadata = None, ** kwargs )  Hold 3D points in an object which can be visualized PointCloud ( vertices, colors = None, metadata = None, ** kwargs )  Provide a fully featured Trimesh object which allows for easy manipulationĪnd analysis, in the style of the Polygon object in the Shapely library. Meshes with an emphasis on watertight meshes. The number will depend on the geometry and the size of the project.Trimesh is a pure Python (2.7- 3.3+) library for loading and using triangular Decimationĭecimation (1.000.000 default): The maximum number of triangles in the final Mesh.

Texture Size (1024x1024 - 32768x32768 pixels, default 8192x8192 pixels): Parameter used to define the resolution of the texture of the Mesh. Selecting Template for the Mesh generation.

Thin structures: For projects that capture thin structures, i.e., cables, powerline tower structures, antennas.

Optimized for hand-held captured data with PIX4DCatch.

PIX4Dcatch: For projects with limited extent.

Typically drone flight size projects that contain oblique or nadir data.

Aerial (default): Ideal for scenes with larger extent.

The following templates are available for the Mesh generation: This option enables distinguished default parameters for the mesh generation algorithms used for the different types of datasets imported into the software. Selecting input point cloud for the Mesh generation.

Depth & dense fusion: The point cloud that present a fusion of the dense and depth point cloud.

Depth point cloud: The point cloud generated from LiDAR depth maps.

Dense point cloud (default): The point cloud generated from images during the Densify step.

It allows selecting the input point cloud for the Mesh generation. Important: This option is only enabled in project acquired with PIX4Dcatch that contain LiDAR data.

Meshlab decimation