# SOME DESCRIPTIVE TITLE. # Copyright (C) 2020, OpenDroneMap # This file is distributed under the same license as the OpenDroneMap package. # FIRST AUTHOR , YEAR. # #, fuzzy msgid "" msgstr "" "Project-Id-Version: OpenDroneMap 2.6.0\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2021-08-04 10:03-0600\n" "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n" "Last-Translator: FULL NAME \n" "Language-Team: LANGUAGE \n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" "Content-Transfer-Encoding: 8bit\n" #: ../../../arguments.rst:2 msgid "Options and Flags" msgstr "" #: ../../../arguments.rst:5 msgid ":ref:`build-overviews`" msgstr "" #: ../../../arguments.rst:5 msgid "Build orthophoto overviews for faster display in programs such as QGIS. Default: ``False``" msgstr "" #: ../../../arguments.rst:8 msgid ":ref:`camera-lens` auto | perspective | brown | fisheye | spherical" msgstr "" #: ../../../arguments.rst:8 msgid "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``" msgstr "" #: ../../../arguments.rst:11 msgid ":ref:`cameras` " msgstr "" #: ../../../arguments.rst:11 msgid "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: ``" msgstr "" #: ../../../arguments.rst:14 msgid ":ref:`cog`" msgstr "" #: ../../../arguments.rst:14 msgid "Create Cloud-Optimized GeoTIFFs instead of normal GeoTIFFs. Default: ``False``" msgstr "" #: ../../../arguments.rst:17 msgid ":ref:`copy-to` " msgstr "" #: ../../../arguments.rst:17 msgid "Copy output results to this folder after processing." msgstr "" #: ../../../arguments.rst:20 msgid ":ref:`crop` " msgstr "" #: ../../../arguments.rst:20 msgid "Automatically crop image outputs by creating a smooth buffer around the dataset boundaries, shrinked by N meters. Use 0 to disable cropping. Default: ``3``" msgstr "" #: ../../../arguments.rst:23 msgid ":ref:`debug`" msgstr "" #: ../../../arguments.rst:23 msgid "Print debug messages. Default: ``False``" msgstr "" #: ../../../arguments.rst:26 msgid ":ref:`dem-decimation` " msgstr "" #: ../../../arguments.rst:26 msgid "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``" msgstr "" #: ../../../arguments.rst:29 msgid ":ref:`dem-euclidean-map`" msgstr "" #: ../../../arguments.rst:29 msgid "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``" msgstr "" #: ../../../arguments.rst:32 msgid ":ref:`dem-gapfill-steps` " msgstr "" #: ../../../arguments.rst:32 msgid "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``" msgstr "" #: ../../../arguments.rst:35 msgid ":ref:`dem-resolution` " msgstr "" #: ../../../arguments.rst:35 msgid "DSM/DTM resolution in cm / pixel. Note that this value is capped by a ground sampling distance (GSD) estimate. To remove the cap, check --ignore-gsd also. Default: ``5``" msgstr "" #: ../../../arguments.rst:38 msgid ":ref:`depthmap-resolution` " msgstr "" #: ../../../arguments.rst:38 msgid "Legacy option (use --pc-quality instead). Controls the density of the point cloud by setting the resolution of the depthmap images. Higher values take longer to compute but produce denser point clouds. Default: ``640``" msgstr "" #: ../../../arguments.rst:41 msgid ":ref:`dsm`" msgstr "" #: ../../../arguments.rst:41 msgid "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``" msgstr "" #: ../../../arguments.rst:44 msgid ":ref:`dtm`" msgstr "" #: ../../../arguments.rst:44 msgid "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``" msgstr "" #: ../../../arguments.rst:47 msgid ":ref:`end-with` dataset | split | merge | opensfm | openmvs | odm_filterpoints | odm_meshing | mvs_texturing | odm_georeferencing | odm_dem | odm_orthophoto | odm_report" msgstr "" #: ../../../arguments.rst:47 msgid "End processing at this stage. . Default: ``odm_report``" msgstr "" #: ../../../arguments.rst:50 msgid ":ref:`fast-orthophoto`" msgstr "" #: ../../../arguments.rst:50 msgid "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``" msgstr "" #: ../../../arguments.rst:53 msgid ":ref:`feature-quality` ultra | high | medium | low | lowest" msgstr "" #: ../../../arguments.rst:53 msgid "Set feature extraction quality. Higher quality generates better features, but requires more memory and takes longer. . Default: ``high``" msgstr "" #: ../../../arguments.rst:56 msgid ":ref:`feature-type` sift | hahog" msgstr "" #: ../../../arguments.rst:56 msgid "Choose the algorithm for extracting keypoints and computing descriptors. . Default: ``sift``" msgstr "" #: ../../../arguments.rst:59 msgid ":ref:`force-gps`" msgstr "" #: ../../../arguments.rst:59 msgid "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``" msgstr "" #: ../../../arguments.rst:62 msgid ":ref:`gcp` " msgstr "" #: ../../../arguments.rst:62 msgid "Path to the file containing the ground control points used for georeferencing. The file needs to use the following format: EPSG: or <+proj definition>geo_x geo_y geo_z im_x im_y image_name [gcp_name] [extra1] [extra2]Default: ``None``" msgstr "" #: ../../../arguments.rst:65 msgid ":ref:`geo` " msgstr "" #: ../../../arguments.rst:65 msgid "Path to the image geolocation file containing the camera center coordinates used for georeferencing. Note that omega/phi/kappa are currently not supported (you can set them to 0). The file needs to use the following format: EPSG: or <+proj definition>image_name geo_x geo_y geo_z [omega (degrees)] [phi (degrees)] [kappa (degrees)] [horz accuracy (meters)] [vert accuracy (meters)]Default: ``None``" msgstr "" #: ../../../arguments.rst:68 msgid ":ref:`gps-accuracy` " msgstr "" #: ../../../arguments.rst:68 msgid "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: ``10``" msgstr "" #: ../../../arguments.rst:71 msgid ":ref:`help`" msgstr "" #: ../../../arguments.rst:71 msgid "show this help message and exit" msgstr "" #: ../../../arguments.rst:74 msgid ":ref:`ignore-gsd`" msgstr "" #: ../../../arguments.rst:74 msgid "Ignore Ground Sampling Distance (GSD). GSD caps 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. Default: ``False``" msgstr "" #: ../../../arguments.rst:77 msgid ":ref:`matcher-distance` " msgstr "" #: ../../../arguments.rst:77 msgid "Distance threshold in meters to find pre-matching images based on GPS exif data. Set both matcher-neighbors and this to 0 to skip pre-matching. Default: ``0``" msgstr "" #: ../../../arguments.rst:80 msgid ":ref:`matcher-neighbors` " msgstr "" #: ../../../arguments.rst:80 msgid "Number of nearest images to pre-match based on GPS exif data. Set to 0 to skip pre-matching. Neighbors works together with Distance parameter, set both to 0 to not use pre-matching. Default: ``8``" msgstr "" #: ../../../arguments.rst:83 msgid ":ref:`matcher-type` flann | bow" msgstr "" #: ../../../arguments.rst:83 msgid "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. . Default: ``flann``" msgstr "" #: ../../../arguments.rst:86 msgid ":ref:`max-concurrency` " msgstr "" #: ../../../arguments.rst:86 msgid "The maximum number of processes to use in various processes. Peak memory requirement is ~1GB per thread and 2 megapixel image resolution. Default: ``4``" msgstr "" #: ../../../arguments.rst:89 msgid ":ref:`merge` all | pointcloud | orthophoto | dem" msgstr "" #: ../../../arguments.rst:89 msgid "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``" msgstr "" #: ../../../arguments.rst:92 msgid ":ref:`mesh-octree-depth` " msgstr "" #: ../../../arguments.rst:92 msgid "Octree depth used in the mesh reconstruction, increase to get more vertices, recommended values are 8-12. Default: ``11``" msgstr "" #: ../../../arguments.rst:95 msgid ":ref:`mesh-size` " msgstr "" #: ../../../arguments.rst:95 msgid "The maximum vertex count of the output mesh. Default: ``200000``" msgstr "" #: ../../../arguments.rst:98 msgid ":ref:`min-num-features` " msgstr "" #: ../../../arguments.rst:98 msgid "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: ``8000``" msgstr "" #: ../../../arguments.rst:101 msgid ":ref:`name` " msgstr "" #: ../../../arguments.rst:101 msgid "Name of dataset (i.e subfolder name within project folder). Default: ``code``" msgstr "" #: ../../../arguments.rst:104 msgid ":ref:`optimize-disk-space`" msgstr "" #: ../../../arguments.rst:104 msgid "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``" msgstr "" #: ../../../arguments.rst:107 msgid ":ref:`orthophoto-compression` JPEG | LZW | PACKBITS | DEFLATE | LZMA | NONE" msgstr "" #: ../../../arguments.rst:107 msgid "Set the compression to use for orthophotos. . Default: ``DEFLATE``" msgstr "" #: ../../../arguments.rst:110 msgid ":ref:`orthophoto-cutline`" msgstr "" #: ../../../arguments.rst:110 msgid "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``" msgstr "" #: ../../../arguments.rst:113 msgid ":ref:`orthophoto-kmz`" msgstr "" #: ../../../arguments.rst:113 msgid "Set this parameter if you want to generate a Google Earth (KMZ) rendering of the orthophoto. Default: ``False``" msgstr "" #: ../../../arguments.rst:116 msgid ":ref:`orthophoto-no-tiled`" msgstr "" #: ../../../arguments.rst:116 msgid "Set this parameter if you want a striped GeoTIFF. Default: ``False``" msgstr "" #: ../../../arguments.rst:119 msgid ":ref:`orthophoto-png`" msgstr "" #: ../../../arguments.rst:119 msgid "Set this parameter if you want to generate a PNG rendering of the orthophoto. Default: ``False``" msgstr "" #: ../../../arguments.rst:122 msgid ":ref:`orthophoto-resolution` 0.0>" msgstr "" #: ../../../arguments.rst:122 msgid "Orthophoto resolution in cm / pixel. Note that this value is capped by a ground sampling distance (GSD) estimate. To remove the cap, check --ignore-gsd also. Default: ``5``" msgstr "" #: ../../../arguments.rst:125 msgid ":ref:`pc-classify`" msgstr "" #: ../../../arguments.rst:125 msgid "Classify the point cloud outputs using a Simple Morphological Filter. You can control the behavior of this option by tweaking the --dem-\\* parameters. Default: ``False``" msgstr "" #: ../../../arguments.rst:128 msgid ":ref:`pc-csv`" msgstr "" #: ../../../arguments.rst:128 msgid "Export the georeferenced point cloud in CSV format. Default: ``False``" msgstr "" #: ../../../arguments.rst:131 msgid ":ref:`pc-ept`" msgstr "" #: ../../../arguments.rst:131 msgid "Export the georeferenced point cloud in Entwine Point Tile (EPT) format. Default: ``False``" msgstr "" #: ../../../arguments.rst:134 msgid ":ref:`pc-filter` " msgstr "" #: ../../../arguments.rst:134 msgid "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: ``2.5``" msgstr "" #: ../../../arguments.rst:137 msgid ":ref:`pc-geometric`" msgstr "" #: ../../../arguments.rst:137 msgid "Improve the accuracy of the point cloud by computing geometrically consistent depthmaps. This increases processing time, but can improve results in urban scenes. Default: ``False``" msgstr "" #: ../../../arguments.rst:140 msgid ":ref:`pc-las`" msgstr "" #: ../../../arguments.rst:140 msgid "Export the georeferenced point cloud in LAS format. Default: ``False``" msgstr "" #: ../../../arguments.rst:143 msgid ":ref:`pc-quality` ultra | high | medium | low | lowest" msgstr "" #: ../../../arguments.rst:143 msgid "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``" msgstr "" #: ../../../arguments.rst:146 msgid ":ref:`pc-rectify`" msgstr "" #: ../../../arguments.rst:146 msgid "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``" msgstr "" #: ../../../arguments.rst:149 msgid ":ref:`pc-sample` " msgstr "" #: ../../../arguments.rst:149 msgid "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``" msgstr "" #: ../../../arguments.rst:152 msgid ":ref:`pc-tile`" msgstr "" #: ../../../arguments.rst:152 msgid "Reduce the memory usage needed for depthmap fusion by splitting large scenes into tiles. Turn this on if your machine doesn't have much RAM and/or you've set --pc-quality to high or ultra. Experimental. Default: ``False``" msgstr "" #: ../../../arguments.rst:155 msgid ":ref:`primary-band` " msgstr "" #: ../../../arguments.rst:155 msgid "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``" msgstr "" #: ../../../arguments.rst:158 msgid ":ref:`project-path` " msgstr "" #: ../../../arguments.rst:158 msgid "Path to the project folder. Your project folder should contain subfolders for each dataset. Each dataset should have an \"images\" folder." msgstr "" #: ../../../arguments.rst:161 msgid ":ref:`radiometric-calibration` none | camera | camera+sun" msgstr "" #: ../../../arguments.rst:161 msgid "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``" msgstr "" #: ../../../arguments.rst:164 msgid ":ref:`rerun` dataset | split | merge | opensfm | openmvs | odm_filterpoints | odm_meshing | mvs_texturing | odm_georeferencing | odm_dem | odm_orthophoto | odm_report" msgstr "" #: ../../../arguments.rst:164 msgid "Rerun this stage only and stop. . Default: ``" msgstr "" #: ../../../arguments.rst:167 msgid ":ref:`rerun-all`" msgstr "" #: ../../../arguments.rst:167 msgid "Permanently delete all previous results and rerun the processing pipeline." msgstr "" #: ../../../arguments.rst:170 msgid ":ref:`rerun-from` dataset | split | merge | opensfm | openmvs | odm_filterpoints | odm_meshing | mvs_texturing | odm_georeferencing | odm_dem | odm_orthophoto | odm_report" msgstr "" #: ../../../arguments.rst:170 msgid "Rerun processing from this stage. . Default: ``" msgstr "" #: ../../../arguments.rst:173 msgid ":ref:`resize-to` " msgstr "" #: ../../../arguments.rst:173 msgid "Legacy option (use --feature-quality instead). Resizes images by the largest side for feature extraction purposes only. Set to -1 to disable. This does not affect the final orthophoto resolution quality and will not resize the original images. Default: ``2048``" msgstr "" #: ../../../arguments.rst:176 msgid ":ref:`skip-3dmodel`" msgstr "" #: ../../../arguments.rst:176 msgid "Skip generation of a full 3D model. This can save time if you only need 2D results such as orthophotos and DEMs. Default: ``False``" msgstr "" #: ../../../arguments.rst:179 msgid ":ref:`skip-band-alignment`" msgstr "" #: ../../../arguments.rst:179 msgid "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``" msgstr "" #: ../../../arguments.rst:182 msgid ":ref:`skip-report`" msgstr "" #: ../../../arguments.rst:182 msgid "Skip generation of PDF report. This can save time if you don't need a report. Default: ``False``" msgstr "" #: ../../../arguments.rst:185 msgid ":ref:`sm-cluster` " msgstr "" #: ../../../arguments.rst:185 msgid "URL to a ClusterODM instance for distributing a split-merge workflow on multiple nodes in parallel. Default: ``None``" msgstr "" #: ../../../arguments.rst:188 msgid ":ref:`smrf-scalar` " msgstr "" #: ../../../arguments.rst:188 msgid "Simple Morphological Filter elevation scalar parameter. Default: ``1.25``" msgstr "" #: ../../../arguments.rst:191 msgid ":ref:`smrf-slope` " msgstr "" #: ../../../arguments.rst:191 msgid "Simple Morphological Filter slope parameter (rise over run). Default: ``0.15``" msgstr "" #: ../../../arguments.rst:194 msgid ":ref:`smrf-threshold` " msgstr "" #: ../../../arguments.rst:194 msgid "Simple Morphological Filter elevation threshold parameter (meters). Default: ``0.5``" msgstr "" #: ../../../arguments.rst:197 msgid ":ref:`smrf-window` " msgstr "" #: ../../../arguments.rst:197 msgid "Simple Morphological Filter window radius parameter (meters). Default: ``18.0``" msgstr "" #: ../../../arguments.rst:200 msgid ":ref:`split` " msgstr "" #: ../../../arguments.rst:200 msgid "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``" msgstr "" #: ../../../arguments.rst:203 msgid ":ref:`split-image-groups` " msgstr "" #: ../../../arguments.rst:203 msgid "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``" msgstr "" #: ../../../arguments.rst:206 msgid ":ref:`split-overlap` " msgstr "" #: ../../../arguments.rst:206 msgid "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``" msgstr "" #: ../../../arguments.rst:209 msgid ":ref:`texturing-data-term` gmi | area" msgstr "" #: ../../../arguments.rst:209 msgid "When texturing the 3D mesh, for each triangle, choose to prioritize images with sharp features (gmi) or those that cover the largest area (area). Default: ``gmi``" msgstr "" #: ../../../arguments.rst:212 msgid ":ref:`texturing-keep-unseen-faces`" msgstr "" #: ../../../arguments.rst:212 msgid "Keep faces in the mesh that are not seen in any camera. Default: ``False``" msgstr "" #: ../../../arguments.rst:215 msgid ":ref:`texturing-outlier-removal-type` none | gauss_clamping | gauss_damping" msgstr "" #: ../../../arguments.rst:215 msgid "Type of photometric outlier removal method. . Default: ``gauss_clamping``" msgstr "" #: ../../../arguments.rst:218 msgid ":ref:`texturing-skip-global-seam-leveling`" msgstr "" #: ../../../arguments.rst:218 msgid "Skip normalization of colors across all images. Useful when processing radiometric data. Default: ``False``" msgstr "" #: ../../../arguments.rst:221 msgid ":ref:`texturing-skip-local-seam-leveling`" msgstr "" #: ../../../arguments.rst:221 msgid "Skip the blending of colors near seams. Default: ``False``" msgstr "" #: ../../../arguments.rst:224 msgid ":ref:`texturing-tone-mapping` none | gamma" msgstr "" #: ../../../arguments.rst:224 msgid "Turn on gamma tone mapping or none for no tone mapping. Can be one of ['none', 'gamma']. Default: ``none``" msgstr "" #: ../../../arguments.rst:227 msgid ":ref:`tiles`" msgstr "" #: ../../../arguments.rst:227 msgid "Generate static tiles for orthophotos and DEMs that are suitable for viewers like Leaflet or OpenLayers. Default: ``False``" msgstr "" #: ../../../arguments.rst:230 msgid ":ref:`time