Mga Opsyon at Tanda

3d-tiles

Generate OGC 3D Tiles outputs. Default: False

align <path string>

Path to a GeoTIFF DEM or a LAS/LAZ point cloud that the reconstruction outputs should be automatically aligned to. Experimental. Default: None

auto-boundary

Automatically set a boundary using camera shot locations to limit the area of the reconstruction. This can help remove far away background artifacts (sky, background landscapes, etc.). See also --boundary. Default: False

auto-boundary-distance <positive float>

Specify the distance between camera shot locations and the outer edge of the boundary when computing the boundary with --auto-boundary. Set to 0 to automatically choose a value. Default: 0

bg-removal

Automatically compute image masks using AI to remove the background. Experimental. Default: False

boundary <json>

GeoJSON polygon limiting the area of the reconstruction. Can be specified either as path to a GeoJSON file or as a JSON string representing the contents of a GeoJSON file. Default: ``

build-overviews

Build orthophoto overviews for faster display in programs such as QGIS. Default: False

camera-lens auto | perspective | brown | fisheye | fisheye_opencv | spherical | equirectangular | dual

Set a camera projection type. Manually setting a value can help improve geometric undistortion. By default the application tries to determine a lens type from the images metadata. . Default: auto

cameras <json>

Use the camera parameters computed from another dataset instead of calculating them. Can be specified either as path to a cameras.json file or as a JSON string representing the contents of a cameras.json file. Default: ``

cog

Create Cloud-Optimized GeoTIFFs instead of normal GeoTIFFs. Default: False

copy-to <path>

Copy output results to this folder after processing.

crop <positive float>

Automatically crop image outputs by creating a smooth buffer around the dataset boundaries, shrunk by N meters. Use 0 to disable cropping. Default: 3

dem-decimation <positive integer>

Decimate the points before generating the DEM. 1 is no decimation (full quality). 100 decimates ~99%% of the points. Useful for speeding up generation of DEM results in very large datasets. Default: 1

dem-euclidean-map

Computes an euclidean raster map for each DEM. The map reports the distance from each cell to the nearest NODATA value (before any hole filling takes place). This can be useful to isolate the areas that have been filled. Default: False

dem-gapfill-steps <positive integer>

Number of steps used to fill areas with gaps. Set to 0 to disable gap filling. 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. Remaining gaps are then merged using nearest neighbor interpolation. Default: 3

dem-resolution <float>

DSM/DTM resolution in cm / pixel. Note that this value is capped by a ground sampling distance (GSD) estimate. Default: 5

dsm

Use this tag to build a DSM (Digital Surface Model, ground + objects) using a progressive morphological filter. Check the --dem* parameters for finer tuning. Default: False

dtm

Use this tag to build a DTM (Digital Terrain Model, ground only) using a simple morphological filter. Check the --dem* and --smrf* parameters for finer tuning. Default: False

end-with dataset | split | merge | opensfm | openmvs | odm_filterpoints | odm_meshing | mvs_texturing | odm_georeferencing | odm_dem | odm_orthophoto | odm_report | odm_postprocess

End processing at this stage. . Default: odm_postprocess

fast-orthophoto

Skips dense reconstruction and 3D model generation. It generates an orthophoto directly from the sparse reconstruction. If you just need an orthophoto and do not need a full 3D model, turn on this option. Default: False

feature-quality ultra | high | medium | low | lowest

Set feature extraction quality. Higher quality generates better features, but requires more memory and takes longer. . Default: high

feature-type akaze | dspsift | hahog | orb | sift

Choose the algorithm for extracting keypoints and computing descriptors. . Default: dspsift

force-gps

Use images' GPS exif data for reconstruction, even if there are GCPs present.This flag is useful if you have high precision GPS measurements. If there are no GCPs, this flag does nothing. Default: False

gcp <path string>

Path to the file containing the ground control points used for georeferencing. The file needs to use the following format: EPSG:<code> or <+proj definition>geo_x geo_y geo_z im_x im_y image_name [gcp_name] [extra1] [extra2]Default: None

geo <path string>

Path to the image geolocation file containing the camera center coordinates used for georeferencing. If you don't have values for yaw/pitch/roll you can set them to 0. The file needs to use the following format: EPSG:<code> or <+proj definition>image_name geo_x geo_y geo_z [yaw (degrees)] [pitch (degrees)] [roll (degrees)] [horz accuracy (meters)] [vert accuracy (meters)]Default: None

gltf

Generate single file Binary glTF (GLB) textured models. Default: False

gps-accuracy <positive float>

Set a value in meters for the GPS Dilution of Precision (DOP) information for all images. If your images are tagged with high precision GPS information (RTK), this value will be automatically set accordingly. You can use this option to manually set it in case the reconstruction fails. Lowering this option can sometimes help control bowling-effects over large areas. Default: 3

help

show this help message and exit

ignore-gsd

Ignore Ground Sampling Distance (GSD).A memory and processor hungry change relative to the default behavior if set to true. Ordinarily, GSD estimates are used to cap the maximum resolution of image outputs and resizes images when necessary, resulting in faster processing and lower memory usage. Since GSD is an estimate, sometimes ignoring it can result in slightly better image output quality. Never set --ignore-gsd to true unless you are positive you need it, and even then: do not use it. Default: False

matcher-neighbors <positive integer>

Perform image matching with the nearest images based on GPS exif data. Set to 0 to match by triangulation. Default: 0

matcher-order <positive integer>

Perform image matching with the nearest N images based on image filename order. Can speed up processing of sequential images, such as those extracted from video. It is applied only on non-georeferenced datasets. Set to 0 to disable. Default: 0

matcher-type bow | bruteforce | flann

Matcher algorithm, Fast Library for Approximate Nearest Neighbors or Bag of Words. FLANN is slower, but more stable. BOW is faster, but can sometimes miss valid matches. BRUTEFORCE is very slow but robust.. Default: flann

max-concurrency <positive integer>

The maximum number of processes to use in various processes. Peak memory requirement is ~1GB per thread and 2 megapixel image resolution. Default: 4

merge all | pointcloud | orthophoto | dem

Choose what to merge in the merge step in a split dataset. By default all available outputs are merged. Options: ['all', 'pointcloud', 'orthophoto', 'dem']. Default: all

mesh-octree-depth <integer: 1 <= x <= 14>

Octree depth used in the mesh reconstruction, increase to get more vertices, recommended values are 8-12. Default: 11

mesh-size <positive integer>

The maximum vertex count of the output mesh. Default: 200000

min-num-features <integer>

Minimum number of features to extract per image. More features can be useful for finding more matches between images, potentially allowing the reconstruction of areas with little overlap or insufficient features. More features also slow down processing. Default: 10000

name <dataset name>

Name of dataset (i.e subfolder name within project folder). Default: code

no-gpu

Do not use GPU acceleration, even if it's available. Default: False

optimize-disk-space

Delete heavy intermediate files to optimize disk space usage. This affects the ability to restart the pipeline from an intermediate stage, but allows datasets to be processed on machines that don't have sufficient disk space available. Default: False

orthophoto-compression JPEG | LZW | PACKBITS | DEFLATE | LZMA | NONE

Set the compression to use for orthophotos. . Default: DEFLATE

orthophoto-cutline

Generates a polygon around the cropping area that cuts the orthophoto around the edges of features. This polygon can be useful for stitching seamless mosaics with multiple overlapping orthophotos. Default: False

orthophoto-kmz

Set this parameter if you want to generate a Google Earth (KMZ) rendering of the orthophoto. Default: False

orthophoto-no-tiled

Set this parameter if you want a striped GeoTIFF. Default: False

orthophoto-png

Set this parameter if you want to generate a PNG rendering of the orthophoto. Default: False

orthophoto-resolution <float > 0.0>

Orthophoto resolution in cm / pixel. Note that this value is capped by a ground sampling distance (GSD) estimate.Default: 5

pc-classify

Classify the point cloud outputs. You can control the behavior of this option by tweaking the --dem-* parameters. Default: False

pc-copc

Save the georeferenced point cloud in Cloud Optimized Point Cloud (COPC) format. Default: False

pc-csv

Export the georeferenced point cloud in CSV format. Default: False

pc-ept

Export the georeferenced point cloud in Entwine Point Tile (EPT) format. Default: False

pc-filter <positive float>

Filters the point cloud by removing points that deviate more than N standard deviations from the local mean. Set to 0 to disable filtering. Default: 5

pc-las

Export the georeferenced point cloud in LAS format. Default: False

pc-quality ultra | high | medium | low | lowest

Set point cloud quality. Higher quality generates better, denser point clouds, but requires more memory and takes longer. Each step up in quality increases processing time roughly by a factor of 4x.. Default: medium

pc-rectify

Perform ground rectification on the point cloud. This means that wrongly classified ground points will be re-classified and gaps will be filled. Useful for generating DTMs. Default: False

pc-sample <positive float>

Filters the point cloud by keeping only a single point around a radius N (in meters). This can be useful to limit the output resolution of the point cloud and remove duplicate points. Set to 0 to disable sampling. Default: 0

pc-skip-geometric

Geometric estimates improve the accuracy of the point cloud by computing geometrically consistent depthmaps but may not be usable in larger datasets. This flag disables geometric estimates. Default: False

primary-band <string>

When processing multispectral datasets, you can specify the name of the primary band that will be used for reconstruction. It's recommended to choose a band which has sharp details and is in focus. Default: auto

project-path <path>

Path to the project folder. Your project folder should contain subfolders for each dataset. Each dataset should have an "images" folder.

radiometric-calibration none | camera | camera+sun

Set the radiometric calibration to perform on images. When processing multispectral and thermal images you should set this option to obtain reflectance/temperature values (otherwise you will get digital number values). [camera] applies black level, vignetting, row gradient gain/exposure compensation (if appropriate EXIF tags are found) and computes absolute temperature values. [camera+sun] is experimental, applies all the corrections of [camera], plus compensates for spectral radiance registered via a downwelling light sensor (DLS) taking in consideration the angle of the sun. . Default: none

rerun dataset | split | merge | opensfm | openmvs | odm_filterpoints | odm_meshing | mvs_texturing | odm_georeferencing | odm_dem | odm_orthophoto | odm_report | odm_postprocess

Rerun this stage only and stop. . Default: ``

rerun-all

Permanently delete all previous results and rerun the processing pipeline.

rerun-from dataset | split | merge | opensfm | openmvs | odm_filterpoints | odm_meshing | mvs_texturing | odm_georeferencing | odm_dem | odm_orthophoto | odm_report | odm_postprocess

Rerun processing from this stage. . Default: ``

rolling-shutter

Turn on rolling shutter correction. If the camera has a rolling shutter and the images were taken in motion, you can turn on this option to improve the accuracy of the results. See also --rolling-shutter-readout. Default: False

rolling-shutter-readout <positive integer>

Override the rolling shutter readout time for your camera sensor (in milliseconds), instead of using the rolling shutter readout database. Note that not all cameras are present in the database. Set to 0 to use the database value. Default: 0

sfm-algorithm incremental | triangulation | planar

Choose the structure from motion algorithm. For aerial datasets, if camera GPS positions and angles are available, triangulation can generate better results. For planar scenes captured at fixed altitude with nadir-only images, planar can be much faster. . Default: incremental

sfm-no-partial

Do not attempt to merge partial reconstructions. This can happen when images do not have sufficient overlap or are isolated. Default: False

skip-3dmodel

Skip generation of a full 3D model. This can save time if you only need 2D results such as orthophotos and DEMs. Default: False

skip-band-alignment

When processing multispectral datasets, ODM will automatically align the images for each band. If the images have been postprocessed and are already aligned, use this option. Default: False

skip-orthophoto

Skip generation of the orthophoto. This can save time if you only need 3D results or DEMs. Default: False

skip-report

Skip generation of PDF report. This can save time if you don't need a report. Default: False

sky-removal

Automatically compute image masks using AI to remove the sky. Experimental. Default: False

sm-cluster <string>

URL to a ClusterODM instance for distributing a split-merge workflow on multiple nodes in parallel. Default: None

sm-no-align

Skip alignment of submodels in split-merge. Useful if GPS is good enough on very large datasets. Default: False

smrf-scalar <positive float>

Simple Morphological Filter elevation scalar parameter. Default: 1.25

smrf-slope <positive float>

Simple Morphological Filter slope parameter (rise over run). Default: 0.15

smrf-threshold <positive float>

Simple Morphological Filter elevation threshold parameter (meters). Default: 0.5

smrf-window <positive float>

Simple Morphological Filter window radius parameter (meters). Default: 18.0

split <positive integer>

Average number of images per submodel. When splitting a large dataset into smaller submodels, images are grouped into clusters. This value regulates the number of images that each cluster should have on average. Default: 999999

split-image-groups <path string>

Path to the image groups file that controls how images should be split into groups. The file needs to use the following format: image_name group_nameDefault: None

split-overlap <positive integer>

Radius of the overlap between submodels. After grouping images into clusters, images that are closer than this radius to a cluster are added to the cluster. This is done to ensure that neighboring submodels overlap. Default: 150

texturing-keep-unseen-faces

Keep faces in the mesh that are not seen in any camera. Default: False

texturing-single-material

Generate OBJs that have a single material and a single texture file instead of multiple ones. Default: False

texturing-skip-global-seam-leveling

Skip normalization of colors across all images. Useful when processing radiometric data. Default: False

tiles

Generate static tiles for orthophotos and DEMs that are suitable for viewers like Leaflet or OpenLayers. Default: False

use-3dmesh

Use a full 3D mesh to compute the orthophoto instead of a 2.5D mesh. This option is a bit faster and provides similar results in planar areas. Default: False

use-exif

Use this tag if you have a GCP File but want to use the EXIF information for georeferencing instead. Default: False

use-fixed-camera-params

Turn off camera parameter optimization during bundle adjustment. This can be sometimes useful for improving results that exhibit doming/bowling or when images are taken with a rolling shutter camera. Default: False

use-hybrid-bundle-adjustment

Run local bundle adjustment for every image added to the reconstruction and a global adjustment every 100 images. Speeds up reconstruction for very large datasets. Default: False

version

Displays version number and exits.

video-limit <positive integer>

Maximum number of frames to extract from video files for processing. Set to 0 for no limit. Default: 500

video-resolution <positive integer>

The maximum output resolution of extracted video frames in pixels. Default: 4000

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