Default: high feature-type akaze | hahog | orb | siftĬhoose the algorithm for extracting keypoints and computing descriptors. Higher quality generates better features, but requires more memory and takes longer. Default: False feature-quality ultra | high | medium | low | lowest If you just need an orthophoto and do not need a full 3D model, turn on this option. It generates an orthophoto directly from the sparse reconstruction. Skips dense reconstruction and 3D model generation. Default: False end-with dataset | split | merge | opensfm | openmvs | odm_filterpoints | odm_meshing | mvs_texturing | odm_georeferencing | odm_dem | odm_orthophoto | odm_report | odm_postprocessĮnd processing at this stage. Check the -dem* and -smrf* parameters for finer tuning. Use this tag to build a DTM (Digital Terrain Model, ground only) using a simple morphological filter. Check the -dem* parameters for finer tuning. Use this tag to build a DSM (Digital Surface Model, ground + objects) using a progressive morphological filter. Overrides the value calculated by -pc-quality.Default: 640 dsm Higher values take longer to compute but produce denser point clouds. Default: 5 depthmap-resolution Ĭontrols the density of the point cloud by setting the resolution of the depthmap images. To remove the cap, check -ignore-gsd also. Note that this value is capped to 2x the ground sampling distance (GSD) estimate. Default: 3 dem-resolution ĭSM/DTM resolution in cm / pixel. Remaining gaps are then merged using nearest neighbor interpolation. Starting with a radius equal to the output resolution, N different DEMs are generated with progressively bigger radius using the inverse distance weighted (IDW) algorithm and merged together. Number of steps used to fill areas with gaps. This can be useful to isolate the areas that have been filled. The map reports the distance from each cell to the nearest NODATA value (before any hole filling takes place). Default: 1 dem-euclidean-mapĬomputes an euclidean raster map for each DEM. Useful for speeding up generation of DEM results in very large datasets. Default: False dem-decimation ĭecimate the points before generating the DEM. crop Īutomatically crop image outputs by creating a smooth buffer around the dataset boundaries, shrunk by N meters. Default: False copy-to Ĭopy output results to this folder after processing. Default: `` cogĬreate Cloud-Optimized GeoTIFFs instead of normal GeoTIFFs. Can be specified either as path to a cameras.json file or as a JSON string representing the contents of a cameras.json file. Use the camera parameters computed from another dataset instead of calculating them. By default the application tries to determine a lens type from the images metadata. Manually setting a value can help improve geometric undistortion. Default: False camera-lens auto | perspective | brown | fisheye | spherical | equirectangular | dual Default: `` build-overviewsīuild orthophoto overviews for faster display in programs such as QGIS. Can be specified either as path to a GeoJSON file or as a JSON string representing the contents of a GeoJSON file. GeoJSON polygon limiting the area of the reconstruction. Default: 0 bg-removalĪutomatically compute image masks using AI to remove the background. Set to 0 to automatically choose a value. Specify the distance between camera shot locations and the outer edge of the boundary when computing the boundary with -auto-boundary. This can help remove far away background artifacts (sky, background landscapes, etc.). Default: False auto-boundaryĪutomatically set a boundary using camera shot locations to limit the area of the reconstruction. Your computer is running out of memory, what can you do?.Are there other licensing options aside from the AGPLv3?.I want to build a commercial application that includes ODM.If I use the native version of the software, how can I allocate more resources for processing?.The software is not using all of my CPU cores / memory / GPU all of the times.Can I process two or more orthophoto GeoTIFFs to stitch them together?.Memulai dengan Didistribusikan Membagi-Menggabungkan.Praktik yang direkomendasikan untuk setelan GCP.What Are Cloud Optimized GeoTIFFs (COGs)?.Why would one use a particular Camera Lens Model?.When are manual selections appropriate?.True: -boundary - 3D Model/Textured Mesh.True: -boundary - Digital Elevation Model.Using Potree 3D viewer module on WebODM.Setelah itu selesai (dengan asumsi anda bertahan selama itu).Menggunakan ODM dari lokasi bandwidth rendah.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |