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GM_P2PFlags_t32 Enumeration

Define option flags for P2P setup

Namespace:  GlobalMapper.Lidar
Assemblies:   GlobalMapperWrapperNET45 (in GlobalMapperWrapperNET45.dll) Version: 23.0.0.0 (23.0.0.0)
  GlobalMapperWrapperNET35 (in GlobalMapperWrapperNET35.dll) Version: 23.0.0.0 (23.0.0.0)
Syntax
public enum GM_P2PFlags_t32
Members
  Member nameValueDescription
P2P_AdjustZUsingControlPoints1Should we use our Lidar QC tool process to adjust the Z using the control points? We should get an even better Z match with this approach than similarity transform that has more error
P2P_DeleteWorkFiles2Should we delete the files when finished?
P2P_KeepWorkFilesOnSuccess4Keep work files on success even if GM_P2P_DeleteWorkFiles is set. Use if you will delete work folder externally
P2P_IgnoreExif8Should we drop the EXIF data in the images (like if it's a DJI Spark with inaccurate positions?)
P2P_UseRelativeAltitudes16Should we use relative altitudes offset by a base rather than EXIF values?
P2P_UseColorHarmonization32Harmonize colors between images before processing
P2P_CloudCreateFromMesh64Create point cloud from mesh rather than using original densified cloud. This takes longer but produces point clouds with less 'thickness'
P2P_AddCloudLayer128Should we automatically load and add the cloud layer even if not saving to a file?
P2P_LoadSparseCloud256Should we load the sparse point cloud in addition to the dense one?
P2P_UseSceneClustering512Should we use scene clustering to break up very large jobs?
P2P_ImageCreateFromMesh1024Create ortho-image from mesh rather than point cloud?
P2P_ImageCreateSeparate2048Create a separate ortho-image from each separate image rather than combining them?
P2P_DensifyUseSemiGlobal4096Use semi-global matching for DensifyPointCloud
P2P_HideProgress8192Don't show progress for this operation
P2P_RecursiveImageSearch16384Recursively look for images in mImageFolder
P2P_Default1155
See Also