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Minor language fixes, imported latest weblate translations

pull/961/head
Piero Toffanin 2021-02-25 12:43:30 -05:00
rodzic e208642234
commit a837e65617
27 zmienionych plików z 4834 dodań i 4635 usunięć
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4
app/static/app/js/components/TaskListItem.jsx
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@ -280,7 +280,7 @@ class TaskListItem extends React.Component {
// Create onClick handlers
for (let rfParam in rfMap){
rfMap[rfParam].label = "From " + rfMap[rfParam].label;
rfMap[rfParam].label = interpolate(_("From %(stage)s"), { stage: rfMap[rfParam].label});
rfMap[rfParam].onClick = this.genRestartAction(rfParam);
}
@ -505,7 +505,7 @@ class TaskListItem extends React.Component {
<strong>{_("Created on:")} </strong> {(new Date(task.created_at)).toLocaleString()}<br/>
</div>
<div className="labels">
<strong>{_("Processing Node:")} </strong> {task.processing_node_name || "-"} ({task.auto_processing_node ? "auto" : "manual"})<br/>
<strong>{_("Processing Node:")} </strong> {task.processing_node_name || "-"} ({task.auto_processing_node ? _("auto") : _("manual")})<br/>
</div>
{Array.isArray(task.options) ?
<div className="labels">

146
app/static/app/js/translations/odm_autogenerated.js
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@ -1,78 +1,78 @@
// Auto-generated with extract_odm_strings.py, do not edit!
_("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: %(default)s");
_("Turn on gamma tone mapping or none for no tone mapping. Can be one of %(choices)s. Default: %(default)s ");
_("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: %(default)s");
_("Simple Morphological Filter window radius parameter (meters). Default: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("Automatically crop image outputs by creating a smooth buffer around the dataset boundaries, shrinked by N meters. Use 0 to disable cropping. Default: %(default)s");
_("Export the georeferenced point cloud in Entwine Point Tile (EPT) format. Default: %(default)s");
_("Use this tag if you have a GCP File but want to use the EXIF information for georeferencing instead. Default: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("Choose the algorithm for extracting keypoints and computing descriptors. Can be one of: %(choices)s. Default: %(default)s");
_("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. Set to 0 to disable sampling. Default: %(default)s");
_("Generates a benchmark file with runtime info. Default: %(default)s");
_("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: %(default)s");
_("Export the georeferenced point cloud in LAS format. Default: %(default)s");
_("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: %(default)s");
_("Skip the blending of colors near seams. Default: %(default)s");
_("Set the compression to use for orthophotos. Can be one of: %(choices)s. Default: %(default)s");
_("Build orthophoto overviews for faster display in programs such as QGIS. Default: %(default)s");
_("Path to the project folder. Your project folder should contain subfolders for each dataset. Each dataset should have an \"images\" folder.");
_("The maximum vertex count of the output mesh. Default: %(default)s");
_("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:<code> or <+proj definition>image_name geo_x geo_y geo_z [omega (degrees)] [phi (degrees)] [kappa (degrees)] [horz accuracy (meters)] [vert accuracy (meters)]Default: %(default)s");
_("Classify the point cloud outputs using a Simple Morphological Filter. You can control the behavior of this option by tweaking the --dem-* parameters. Default: %(default)s");
_("Skip normalization of colors across all images. Useful when processing radiometric data. Default: %(default)s");
_("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: %(default)s");
_("The maximum number of processes to use in various processes. Peak memory requirement is ~1GB per thread and 2 megapixel image resolution. Default: %(default)s");
_("Skip generation of PDF report. This can save time if you don't need a report. Default: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("Set the radiometric calibration to perform on images. When processing multispectral images you should set this option to obtain reflectance values (otherwise you will get digital number values). [camera] applies black level, vignetting, row gradient gain/exposure compensation (if appropriate EXIF tags are found). [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. Can be one of: %(choices)s. Default: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("Permanently delete all previous results and rerun the processing pipeline.");
_("Octree depth used in the mesh reconstruction, increase to get more vertices, recommended values are 8-12. Default: %(default)s");
_("Simple Morphological Filter elevation scalar parameter. Default: %(default)s");
_("URL to a ClusterODM instance for distributing a split-merge workflow on multiple nodes in parallel. Default: %(default)s");
_("Rerun this stage only and stop. Can be one of: %(choices)s. Default: %(default)s");
_("Export the georeferenced point cloud in CSV format. Default: %(default)s");
_("Type of photometric outlier removal method. Can be one of: %(choices)s. Default: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("Print additional messages to the console. Default: %(default)s");
_("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.Can be one of: %(choices)s. Default: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("Simple Morphological Filter elevation threshold parameter (meters). Default: %(default)s");
_("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. Can be one of: %(choices)s. Default: %(default)s");
_("Name of dataset (i.e subfolder name within project folder). Default: %(default)s");
_("Turn on gamma tone mapping or none for no tone mapping. Can be one of %(choices)s. Default: %(default)s ");
_("Print debug messages. Default: %(default)s");
_("Skip generation of a full 3D model. This can save time if you only need 2D results such as orthophotos and DEMs. Default: %(default)s");
_("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: %(default)s");
_("show this help message and exit");
_("Set this parameter if you want to generate a PNG rendering of the orthophoto. Default: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("Set feature extraction quality. Higher quality generates better features, but requires more memory and takes longer. Can be one of: %(choices)s. Default: %(default)s");
_("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: %(default)s");
_("Rerun processing from this stage. Can be one of: %(choices)s. Default: %(default)s");
_("Simple Morphological Filter slope parameter (rise over run). Default: %(default)s");
_("Set this parameter if you want a striped GeoTIFF. Default: %(default)s");
_("End processing at this stage. Can be one of: %(choices)s. Default: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("Choose what to merge in the merge step in a split dataset. By default all available outputs are merged. Options: %(choices)s. Default: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("Generate static tiles for orthophotos and DEMs that are suitable for viewers like Leaflet or OpenLayers. Default: %(default)s");
_("Displays version number and exits. ");
_("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: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("Set the radiometric calibration to perform on images. When processing multispectral images you should set this option to obtain reflectance values (otherwise you will get digital number values). [camera] applies black level, vignetting, row gradient gain/exposure compensation (if appropriate EXIF tags are found). [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. Can be one of: %(choices)s. Default: %(default)s");
_("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. Can be one of: %(choices)s. Default: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("Export the georeferenced point cloud in LAS format. Default: %(default)s");
_("Export the georeferenced point cloud in Entwine Point Tile (EPT) format. Default: %(default)s");
_("Type of photometric outlier removal method. Can be one of: %(choices)s. Default: %(default)s");
_("Choose the algorithm for extracting keypoints and computing descriptors. Can be one of: %(choices)s. Default: %(default)s");
_("Print additional messages to the console. Default: %(default)s");
_("URL to a ClusterODM instance for distributing a split-merge workflow on multiple nodes in parallel. Default: %(default)s");
_("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: %(default)s");
_("Generates a benchmark file with runtime info. Default: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("Displays version number and exits. ");
_("Set feature extraction quality. Higher quality generates better features, but requires more memory and takes longer. Can be one of: %(choices)s. Default: %(default)s");
_("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: %(default)s");
_("Skip generation of PDF report. This can save time if you don't need a report. Default: %(default)s");
_("Rerun this stage only and stop. Can be one of: %(choices)s. Default: %(default)s");
_("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. Can be one of: %(choices)s. Default: %(default)s");
_("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: %(default)s");
_("Skip the blending of colors near seams. Default: %(default)s");
_("Classify the point cloud outputs using a Simple Morphological Filter. You can control the behavior of this option by tweaking the --dem-* parameters. Default: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("Set this parameter if you want to generate a PNG rendering of the orthophoto. Default: %(default)s");
_("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: %(default)s");
_("show this help message and exit");
_("Simple Morphological Filter elevation scalar parameter. Default: %(default)s");
_("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: %(default)s");
_("End processing at this stage. Can be one of: %(choices)s. Default: %(default)s");
_("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. Set to 0 to disable sampling. Default: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("Permanently delete all previous results and rerun the processing pipeline.");
_("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: %(default)s");
_("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.Can be one of: %(choices)s. Default: %(default)s");
_("Path to the project folder. Your project folder should contain subfolders for each dataset. Each dataset should have an \"images\" folder.");
_("Simple Morphological Filter slope parameter (rise over run). Default: %(default)s");
_("The maximum number of processes to use in various processes. Peak memory requirement is ~1GB per thread and 2 megapixel image resolution. Default: %(default)s");
_("Skip normalization of colors across all images. Useful when processing radiometric data. Default: %(default)s");
_("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: %(default)s");
_("Generate static tiles for orthophotos and DEMs that are suitable for viewers like Leaflet or OpenLayers. Default: %(default)s");
_("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: %(default)s");
_("Set this parameter if you want a striped GeoTIFF. Default: %(default)s");
_("Rerun processing from this stage. Can be one of: %(choices)s. Default: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("Set the compression to use for orthophotos. Can be one of: %(choices)s. Default: %(default)s");
_("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:<code> or <+proj definition>image_name geo_x geo_y geo_z [omega (degrees)] [phi (degrees)] [kappa (degrees)] [horz accuracy (meters)] [vert accuracy (meters)]Default: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("Automatically crop image outputs by creating a smooth buffer around the dataset boundaries, shrinked by N meters. Use 0 to disable cropping. Default: %(default)s");
_("Export the georeferenced point cloud in CSV format. Default: %(default)s");
_("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: %(default)s");
_("Simple Morphological Filter window radius parameter (meters). Default: %(default)s");
_("Build orthophoto overviews for faster display in programs such as QGIS. Default: %(default)s");
_("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: %(default)s");
_("Name of dataset (i.e subfolder name within project folder). Default: %(default)s");
_("Skip generation of a full 3D model. This can save time if you only need 2D results such as orthophotos and DEMs. Default: %(default)s");
_("Octree depth used in the mesh reconstruction, increase to get more vertices, recommended values are 8-12. Default: %(default)s");
_("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: %(default)s");
_("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: %(default)s");
_("Choose what to merge in the merge step in a split dataset. By default all available outputs are merged. Options: %(choices)s. Default: %(default)s");
_("Simple Morphological Filter elevation threshold parameter (meters). Default: %(default)s");
_("Use this tag if you have a GCP File but want to use the EXIF information for georeferencing instead. Default: %(default)s");

6
app/views/app.py
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@ -60,10 +60,10 @@ def map(request, project_pk=None, task_pk=None):
if task_pk is not None:
task = get_object_or_404(Task.objects.defer('orthophoto_extent', 'dsm_extent', 'dtm_extent'), pk=task_pk, project=project)
title = task.name
title = task.name or task.id
mapItems = [task.get_map_items()]
else:
title = project.name
title = project.name or project.id
mapItems = project.get_map_items()
return render(request, 'app/map.html', {
@ -87,7 +87,7 @@ def model_display(request, project_pk=None, task_pk=None):
if task_pk is not None:
task = get_object_or_404(Task.objects.defer('orthophoto_extent', 'dsm_extent', 'dtm_extent'), pk=task_pk, project=project)
title = task.name
title = task.name or task.id
else:
raise Http404()

2
locale/az/LC_MESSAGES/django.po
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@ -7,7 +7,7 @@ msgid ""
msgstr ""
"Project-Id-Version: PACKAGE VERSION\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2021-01-15 15:19+0000\n"
"POT-Creation-Date: 2021-02-25 17:42+0000\n"
"PO-Revision-Date: 2021-02-08 14:30+0000\n"
"Last-Translator: Aslan Rustamov <aslan.rustamov10@gmail.com>\n"
"Language-Team: Azerbaijani <https://hosted.weblate.org/projects/webodm/"

903
locale/az/LC_MESSAGES/djangojs.po
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Plik diff jest za duży Load Diff

2
locale/de/LC_MESSAGES/django.po
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@ -7,7 +7,7 @@ msgid ""
msgstr ""
"Project-Id-Version: PACKAGE VERSION\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2021-02-08 14:32+0000\n"
"POT-Creation-Date: 2021-02-25 17:42+0000\n"
"PO-Revision-Date: 2021-01-17 11:32+0000\n"
"Last-Translator: Norman Rudo <norman.rudo@gmail.com>\n"
"Language-Team: German <https://hosted.weblate.org/projects/webodm/webodm/de/"

1185
locale/de/LC_MESSAGES/djangojs.po
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2
locale/django.pot
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@ -8,7 +8,7 @@ msgid ""
msgstr ""
"Project-Id-Version: PACKAGE VERSION\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2021-02-08 14:32+0000\n"
"POT-Creation-Date: 2021-02-25 17:42+0000\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: LANGUAGE <LL@li.org>\n"

537
locale/djangojs.pot
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@ -8,7 +8,7 @@ msgid ""
msgstr ""
"Project-Id-Version: PACKAGE VERSION\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2021-02-08 14:32+0000\n"
"POT-Creation-Date: 2021-02-25 17:42+0000\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: LANGUAGE <LL@li.org>\n"
@ -48,7 +48,7 @@ msgid "Your changes will be lost. Are you sure you want to leave?"
msgstr ""
#: app/static/app/js/MapView.jsx:65
#: app/static/app/js/classes/PipelineSteps.js:42
#: app/static/app/js/classes/PipelineSteps.js:47
#: app/static/app/js/components/Map.jsx:82
msgid "Orthophoto"
msgstr ""
@ -195,22 +195,26 @@ msgid "Multi View Stereo"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:22
msgid "Meshing"
msgid "Point Filtering"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:27
msgid "Texturing"
msgid "Meshing"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:32
msgid "Georeferencing"
msgid "Texturing"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:37
msgid "Georeferencing"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:42
msgid "DEM"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:47
#: app/static/app/js/classes/PipelineSteps.js:52
msgid "Report"
msgstr ""
@ -806,6 +810,11 @@ msgid ""
"please check that all programs built without errors."
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:283
#, python-format
msgid "From %(stage)s"
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:295
msgid "Resume Processing"
msgstr ""
@ -873,6 +882,14 @@ msgstr ""
msgid "Processing Node:"
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:508
msgid "auto"
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:508
msgid "manual"
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:512
msgid "Options:"
msgstr ""
@ -942,11 +959,7 @@ msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:3
#, python-format
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: "
"%(default)s"
msgid "The maximum vertex count of the output mesh. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:4
@ -958,71 +971,71 @@ msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:5
#, python-format
msgid ""
"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: %(default)s"
msgid "Print debug messages. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:6
#, python-format
msgid ""
"Simple Morphological Filter window radius parameter (meters). Default: "
"%(default)s"
"Set the radiometric calibration to perform on images. When processing "
"multispectral images you should set this option to obtain reflectance values "
"(otherwise you will get digital number values). [camera] applies black "
"level, vignetting, row gradient gain/exposure compensation (if appropriate "
"EXIF tags are found). [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. Can be one of: %(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:7
#, python-format
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: %(default)s"
"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. Can be one of: %(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:8
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:9
#, python-format
msgid ""
"Automatically crop image outputs by creating a smooth buffer around the "
"dataset boundaries, shrinked by N meters. Use 0 to disable cropping. "
"Default: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:10
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:11
#, python-format
msgid ""
"Export the georeferenced point cloud in LAS format. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:12
#, python-format
msgid ""
"Export the georeferenced point cloud in Entwine Point Tile (EPT) format. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:11
#, python-format
msgid ""
"Use this tag if you have a GCP File but want to use the EXIF information for "
"georeferencing instead. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:12
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:13
#, python-format
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). "
"Type of photometric outlier removal method. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
@ -1035,97 +1048,122 @@ msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:15
#, python-format
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. Set to 0 to disable sampling. Default: %(default)s"
msgid "Print additional messages to the console. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:16
#, python-format
msgid "Generates a benchmark file with runtime info. Default: %(default)s"
msgid ""
"URL to a ClusterODM instance for distributing a split-merge workflow on "
"multiple nodes in parallel. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:17
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:18
#, python-format
msgid ""
"Export the georeferenced point cloud in LAS format. Default: %(default)s"
msgid "Generates a benchmark file with runtime info. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:19
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:20
#, python-format
msgid "Skip the blending of colors near seams. Default: %(default)s"
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:21
#, python-format
msgid ""
"Set the compression to use for orthophotos. Can be one of: %(choices)s. "
"Default: %(default)s"
"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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:22
#, python-format
msgid ""
"Build orthophoto overviews for faster display in programs such as QGIS. "
"Default: %(default)s"
msgid "Displays version number and exits. "
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:23
#, python-format
msgid ""
"Path to the project folder. Your project folder should contain subfolders "
"for each dataset. Each dataset should have an \"images\" folder."
"Set feature extraction quality. Higher quality generates better features, "
"but requires more memory and takes longer. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:24
#, python-format
msgid "The maximum vertex count of the output mesh. Default: %(default)s"
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:25
#, python-format
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:<code> or <+proj definition>image_name geo_x geo_y geo_z [omega "
"(degrees)] [phi (degrees)] [kappa (degrees)] [horz accuracy (meters)] [vert "
"accuracy (meters)]Default: %(default)s"
"Skip generation of PDF report. This can save time if you don't need a "
"report. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:26
#, python-format
msgid ""
"Rerun this stage only and stop. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:27
#, python-format
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. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:28
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:29
#, python-format
msgid "Skip the blending of colors near seams. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:30
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:27
#, python-format
msgid ""
"Skip normalization of colors across all images. Useful when processing "
"radiometric data. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:28
#: app/static/app/js/translations/odm_autogenerated.js:31
#, python-format
msgid ""
"Generates a polygon around the cropping area that cuts the orthophoto around "
@ -1133,22 +1171,7 @@ msgid ""
"mosaics with multiple overlapping orthophotos. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:29
#, python-format
msgid ""
"The maximum number of processes to use in various processes. Peak memory "
"requirement is ~1GB per thread and 2 megapixel image resolution. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:30
#, python-format
msgid ""
"Skip generation of PDF report. This can save time if you don't need a "
"report. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:31
#: app/static/app/js/translations/odm_autogenerated.js:32
#, python-format
msgid ""
"Distance threshold in meters to find pre-matching images based on GPS exif "
@ -1156,33 +1179,23 @@ msgid ""
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:32
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:33
#, python-format
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: %(default)s"
"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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:34
#, python-format
msgid ""
"Set the radiometric calibration to perform on images. When processing "
"multispectral images you should set this option to obtain reflectance values "
"(otherwise you will get digital number values). [camera] applies black "
"level, vignetting, row gradient gain/exposure compensation (if appropriate "
"EXIF tags are found). [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. Can be one of: %(choices)s. Default: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:35
@ -1197,145 +1210,148 @@ msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:36
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:37
#, python-format
msgid ""
"Permanently delete all previous results and rerun the processing pipeline."
"Set this parameter if you want to generate a PNG rendering of the "
"orthophoto. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:38
#, python-format
msgid ""
"Octree depth used in the mesh reconstruction, increase to get more vertices, "
"recommended values are 8-12. Default: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:39
#, python-format
msgid ""
"Simple Morphological Filter elevation scalar parameter. Default: %(default)s"
msgid "show this help message and exit"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:40
#, python-format
msgid ""
"URL to a ClusterODM instance for distributing a split-merge workflow on "
"multiple nodes in parallel. Default: %(default)s"
"Simple Morphological Filter elevation scalar parameter. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:41
#, python-format
msgid ""
"Rerun this stage only and stop. Can be one of: %(choices)s. Default: "
"%(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:42
#, python-format
msgid ""
"Export the georeferenced point cloud in CSV format. Default: %(default)s"
"End processing at this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:43
#, python-format
msgid ""
"Type of photometric outlier removal method. Can be one of: %(choices)s. "
"Default: %(default)s"
"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. Set to 0 to disable sampling. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:44
#, python-format
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: "
"%(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:45
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:46
#, python-format
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: "
"%(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:47
#, python-format
msgid "Print additional messages to the console. Default: %(default)s"
msgid ""
"Permanently delete all previous results and rerun the processing pipeline."
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:48
#, python-format
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:49
#, python-format
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.Can be one of: "
"%(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:49
#, python-format
msgid ""
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:50
#, python-format
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: %(default)s"
"Path to the project folder. Your project folder should contain subfolders "
"for each dataset. Each dataset should have an \"images\" folder."
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:51
#, python-format
msgid ""
"Simple Morphological Filter elevation threshold parameter (meters). Default: "
"Simple Morphological Filter slope parameter (rise over run). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:52
#, python-format
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. Can be one of: %(choices)s. Default: "
"The maximum number of processes to use in various processes. Peak memory "
"requirement is ~1GB per thread and 2 megapixel image resolution. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:53
#, python-format
msgid ""
"Name of dataset (i.e subfolder name within project folder). Default: "
"%(default)s"
"Skip normalization of colors across all images. Useful when processing "
"radiometric data. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:54
#, python-format
msgid "Print debug messages. Default: %(default)s"
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:55
#, python-format
msgid ""
"Skip generation of a full 3D model. This can save time if you only need 2D "
"results such as orthophotos and DEMs. Default: %(default)s"
"Generate static tiles for orthophotos and DEMs that are suitable for viewers "
"like Leaflet or OpenLayers. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:56
@ -1347,112 +1363,137 @@ msgid ""
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:57
msgid "show this help message and exit"
#, python-format
msgid "Set this parameter if you want a striped GeoTIFF. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:58
#, python-format
msgid ""
"Set this parameter if you want to generate a PNG rendering of the "
"orthophoto. Default: %(default)s"
"Rerun processing from this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:59
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:60
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:61
#, python-format
msgid ""
"Set the compression to use for orthophotos. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:62
#, python-format
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:<code> or <+proj definition>image_name geo_x geo_y geo_z [omega "
"(degrees)] [phi (degrees)] [kappa (degrees)] [horz accuracy (meters)] [vert "
"accuracy (meters)]Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:63
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:64
#, python-format
msgid ""
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:60
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:61
#, python-format
msgid ""
"Set feature extraction quality. Higher quality generates better features, "
"but requires more memory and takes longer. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:62
#, python-format
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:63
#, python-format
msgid ""
"Rerun processing from this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:64
#, python-format
msgid ""
"Simple Morphological Filter slope parameter (rise over run). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:65
#, python-format
msgid "Set this parameter if you want a striped GeoTIFF. Default: %(default)s"
msgid ""
"Automatically crop image outputs by creating a smooth buffer around the "
"dataset boundaries, shrinked by N meters. Use 0 to disable cropping. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:66
#, python-format
msgid ""
"End processing at this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
"Export the georeferenced point cloud in CSV format. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:67
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:68
#, python-format
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: %(default)s"
"Simple Morphological Filter window radius parameter (meters). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:69
#, python-format
msgid ""
"Choose what to merge in the merge step in a split dataset. By default all "
"available outputs are merged. Options: %(choices)s. Default: %(default)s"
"Build orthophoto overviews for faster display in programs such as QGIS. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:70
#, python-format
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: "
"%(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:71
#, python-format
msgid ""
"Name of dataset (i.e subfolder name within project folder). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:72
#, python-format
msgid ""
"Skip generation of a full 3D model. This can save time if you only need 2D "
"results such as orthophotos and DEMs. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:73
#, python-format
msgid ""
"Octree depth used in the mesh reconstruction, increase to get more vertices, "
"recommended values are 8-12. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:74
#, python-format
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 "
@ -1461,58 +1502,34 @@ msgid ""
"areas. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:72
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:73
#, python-format
msgid ""
"Generate static tiles for orthophotos and DEMs that are suitable for viewers "
"like Leaflet or OpenLayers. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:74
msgid "Displays version number and exits. "
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:75
#, python-format
msgid ""
"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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:76
#, python-format
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: %(default)s"
"Choose what to merge in the merge step in a split dataset. By default all "
"available outputs are merged. Options: %(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:77
#, python-format
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: %(default)s"
"Simple Morphological Filter elevation threshold parameter (meters). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:78
#, python-format
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. Can be one of: %(choices)s. Default: %(default)s"
"Use this tag if you have a GCP File but want to use the EXIF information for "
"georeferencing instead. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/plugin_manifest_autogenerated.js:3

2
locale/es/LC_MESSAGES/django.po
Wyświetl plik

@ -7,7 +7,7 @@ msgid ""
msgstr ""
"Project-Id-Version: PACKAGE VERSION\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2021-02-08 14:32+0000\n"
"POT-Creation-Date: 2021-02-25 17:42+0000\n"
"PO-Revision-Date: 2021-01-02 05:00+0000\n"
"Last-Translator: Israel Barragan <israelbar@gmail.com>\n"
"Language-Team: Spanish <https://hosted.weblate.org/projects/webodm/webodm/es/"

537
locale/es/LC_MESSAGES/djangojs.po
Wyświetl plik

@ -7,7 +7,7 @@ msgid ""
msgstr ""
"Project-Id-Version: PACKAGE VERSION\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2021-02-08 14:32+0000\n"
"POT-Creation-Date: 2021-02-25 17:42+0000\n"
"PO-Revision-Date: 2021-01-02 05:00+0000\n"
"Last-Translator: Israel Barragan <israelbar@gmail.com>\n"
"Language-Team: Spanish <https://hosted.weblate.org/projects/webodm/react-ui/"
@ -50,7 +50,7 @@ msgid "Your changes will be lost. Are you sure you want to leave?"
msgstr ""
#: app/static/app/js/MapView.jsx:65
#: app/static/app/js/classes/PipelineSteps.js:42
#: app/static/app/js/classes/PipelineSteps.js:47
#: app/static/app/js/components/Map.jsx:82
msgid "Orthophoto"
msgstr ""
@ -199,22 +199,26 @@ msgid "Multi View Stereo"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:22
msgid "Meshing"
msgid "Point Filtering"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:27
msgid "Texturing"
msgid "Meshing"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:32
msgid "Georeferencing"
msgid "Texturing"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:37
msgid "Georeferencing"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:42
msgid "DEM"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:47
#: app/static/app/js/classes/PipelineSteps.js:52
msgid "Report"
msgstr ""
@ -814,6 +818,11 @@ msgid ""
"please check that all programs built without errors."
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:283
#, python-format
msgid "From %(stage)s"
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:295
msgid "Resume Processing"
msgstr ""
@ -881,6 +890,14 @@ msgstr ""
msgid "Processing Node:"
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:508
msgid "auto"
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:508
msgid "manual"
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:512
msgid "Options:"
msgstr ""
@ -950,11 +967,7 @@ msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:3
#, python-format
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: "
"%(default)s"
msgid "The maximum vertex count of the output mesh. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:4
@ -966,71 +979,71 @@ msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:5
#, python-format
msgid ""
"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: %(default)s"
msgid "Print debug messages. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:6
#, python-format
msgid ""
"Simple Morphological Filter window radius parameter (meters). Default: "
"%(default)s"
"Set the radiometric calibration to perform on images. When processing "
"multispectral images you should set this option to obtain reflectance values "
"(otherwise you will get digital number values). [camera] applies black "
"level, vignetting, row gradient gain/exposure compensation (if appropriate "
"EXIF tags are found). [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. Can be one of: %(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:7
#, python-format
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: %(default)s"
"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. Can be one of: %(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:8
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:9
#, python-format
msgid ""
"Automatically crop image outputs by creating a smooth buffer around the "
"dataset boundaries, shrinked by N meters. Use 0 to disable cropping. "
"Default: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:10
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:11
#, python-format
msgid ""
"Export the georeferenced point cloud in LAS format. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:12
#, python-format
msgid ""
"Export the georeferenced point cloud in Entwine Point Tile (EPT) format. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:11
#, python-format
msgid ""
"Use this tag if you have a GCP File but want to use the EXIF information for "
"georeferencing instead. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:12
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:13
#, python-format
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). "
"Type of photometric outlier removal method. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
@ -1043,97 +1056,122 @@ msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:15
#, python-format
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. Set to 0 to disable sampling. Default: %(default)s"
msgid "Print additional messages to the console. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:16
#, python-format
msgid "Generates a benchmark file with runtime info. Default: %(default)s"
msgid ""
"URL to a ClusterODM instance for distributing a split-merge workflow on "
"multiple nodes in parallel. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:17
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:18
#, python-format
msgid ""
"Export the georeferenced point cloud in LAS format. Default: %(default)s"
msgid "Generates a benchmark file with runtime info. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:19
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:20
#, python-format
msgid "Skip the blending of colors near seams. Default: %(default)s"
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:21
#, python-format
msgid ""
"Set the compression to use for orthophotos. Can be one of: %(choices)s. "
"Default: %(default)s"
"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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:22
#, python-format
msgid ""
"Build orthophoto overviews for faster display in programs such as QGIS. "
"Default: %(default)s"
msgid "Displays version number and exits. "
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:23
#, python-format
msgid ""
"Path to the project folder. Your project folder should contain subfolders "
"for each dataset. Each dataset should have an \"images\" folder."
"Set feature extraction quality. Higher quality generates better features, "
"but requires more memory and takes longer. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:24
#, python-format
msgid "The maximum vertex count of the output mesh. Default: %(default)s"
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:25
#, python-format
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:<code> or <+proj definition>image_name geo_x geo_y geo_z [omega "
"(degrees)] [phi (degrees)] [kappa (degrees)] [horz accuracy (meters)] [vert "
"accuracy (meters)]Default: %(default)s"
"Skip generation of PDF report. This can save time if you don't need a "
"report. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:26
#, python-format
msgid ""
"Rerun this stage only and stop. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:27
#, python-format
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. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:28
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:29
#, python-format
msgid "Skip the blending of colors near seams. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:30
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:27
#, python-format
msgid ""
"Skip normalization of colors across all images. Useful when processing "
"radiometric data. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:28
#: app/static/app/js/translations/odm_autogenerated.js:31
#, python-format
msgid ""
"Generates a polygon around the cropping area that cuts the orthophoto around "
@ -1141,22 +1179,7 @@ msgid ""
"mosaics with multiple overlapping orthophotos. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:29
#, python-format
msgid ""
"The maximum number of processes to use in various processes. Peak memory "
"requirement is ~1GB per thread and 2 megapixel image resolution. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:30
#, python-format
msgid ""
"Skip generation of PDF report. This can save time if you don't need a "
"report. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:31
#: app/static/app/js/translations/odm_autogenerated.js:32
#, python-format
msgid ""
"Distance threshold in meters to find pre-matching images based on GPS exif "
@ -1164,33 +1187,23 @@ msgid ""
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:32
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:33
#, python-format
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: %(default)s"
"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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:34
#, python-format
msgid ""
"Set the radiometric calibration to perform on images. When processing "
"multispectral images you should set this option to obtain reflectance values "
"(otherwise you will get digital number values). [camera] applies black "
"level, vignetting, row gradient gain/exposure compensation (if appropriate "
"EXIF tags are found). [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. Can be one of: %(choices)s. Default: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:35
@ -1205,145 +1218,148 @@ msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:36
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:37
#, python-format
msgid ""
"Permanently delete all previous results and rerun the processing pipeline."
"Set this parameter if you want to generate a PNG rendering of the "
"orthophoto. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:38
#, python-format
msgid ""
"Octree depth used in the mesh reconstruction, increase to get more vertices, "
"recommended values are 8-12. Default: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:39
#, python-format
msgid ""
"Simple Morphological Filter elevation scalar parameter. Default: %(default)s"
msgid "show this help message and exit"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:40
#, python-format
msgid ""
"URL to a ClusterODM instance for distributing a split-merge workflow on "
"multiple nodes in parallel. Default: %(default)s"
"Simple Morphological Filter elevation scalar parameter. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:41
#, python-format
msgid ""
"Rerun this stage only and stop. Can be one of: %(choices)s. Default: "
"%(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:42
#, python-format
msgid ""
"Export the georeferenced point cloud in CSV format. Default: %(default)s"
"End processing at this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:43
#, python-format
msgid ""
"Type of photometric outlier removal method. Can be one of: %(choices)s. "
"Default: %(default)s"
"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. Set to 0 to disable sampling. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:44
#, python-format
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: "
"%(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:45
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:46
#, python-format
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: "
"%(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:47
#, python-format
msgid "Print additional messages to the console. Default: %(default)s"
msgid ""
"Permanently delete all previous results and rerun the processing pipeline."
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:48
#, python-format
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:49
#, python-format
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.Can be one of: "
"%(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:49
#, python-format
msgid ""
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:50
#, python-format
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: %(default)s"
"Path to the project folder. Your project folder should contain subfolders "
"for each dataset. Each dataset should have an \"images\" folder."
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:51
#, python-format
msgid ""
"Simple Morphological Filter elevation threshold parameter (meters). Default: "
"Simple Morphological Filter slope parameter (rise over run). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:52
#, python-format
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. Can be one of: %(choices)s. Default: "
"The maximum number of processes to use in various processes. Peak memory "
"requirement is ~1GB per thread and 2 megapixel image resolution. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:53
#, python-format
msgid ""
"Name of dataset (i.e subfolder name within project folder). Default: "
"%(default)s"
"Skip normalization of colors across all images. Useful when processing "
"radiometric data. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:54
#, python-format
msgid "Print debug messages. Default: %(default)s"
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:55
#, python-format
msgid ""
"Skip generation of a full 3D model. This can save time if you only need 2D "
"results such as orthophotos and DEMs. Default: %(default)s"
"Generate static tiles for orthophotos and DEMs that are suitable for viewers "
"like Leaflet or OpenLayers. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:56
@ -1355,112 +1371,137 @@ msgid ""
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:57
msgid "show this help message and exit"
#, python-format
msgid "Set this parameter if you want a striped GeoTIFF. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:58
#, python-format
msgid ""
"Set this parameter if you want to generate a PNG rendering of the "
"orthophoto. Default: %(default)s"
"Rerun processing from this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:59
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:60
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:61
#, python-format
msgid ""
"Set the compression to use for orthophotos. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:62
#, python-format
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:<code> or <+proj definition>image_name geo_x geo_y geo_z [omega "
"(degrees)] [phi (degrees)] [kappa (degrees)] [horz accuracy (meters)] [vert "
"accuracy (meters)]Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:63
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:64
#, python-format
msgid ""
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:60
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:61
#, python-format
msgid ""
"Set feature extraction quality. Higher quality generates better features, "
"but requires more memory and takes longer. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:62
#, python-format
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:63
#, python-format
msgid ""
"Rerun processing from this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:64
#, python-format
msgid ""
"Simple Morphological Filter slope parameter (rise over run). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:65
#, python-format
msgid "Set this parameter if you want a striped GeoTIFF. Default: %(default)s"
msgid ""
"Automatically crop image outputs by creating a smooth buffer around the "
"dataset boundaries, shrinked by N meters. Use 0 to disable cropping. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:66
#, python-format
msgid ""
"End processing at this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
"Export the georeferenced point cloud in CSV format. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:67
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:68
#, python-format
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: %(default)s"
"Simple Morphological Filter window radius parameter (meters). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:69
#, python-format
msgid ""
"Choose what to merge in the merge step in a split dataset. By default all "
"available outputs are merged. Options: %(choices)s. Default: %(default)s"
"Build orthophoto overviews for faster display in programs such as QGIS. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:70
#, python-format
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: "
"%(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:71
#, python-format
msgid ""
"Name of dataset (i.e subfolder name within project folder). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:72
#, python-format
msgid ""
"Skip generation of a full 3D model. This can save time if you only need 2D "
"results such as orthophotos and DEMs. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:73
#, python-format
msgid ""
"Octree depth used in the mesh reconstruction, increase to get more vertices, "
"recommended values are 8-12. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:74
#, python-format
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 "
@ -1469,58 +1510,34 @@ msgid ""
"areas. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:72
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:73
#, python-format
msgid ""
"Generate static tiles for orthophotos and DEMs that are suitable for viewers "
"like Leaflet or OpenLayers. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:74
msgid "Displays version number and exits. "
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:75
#, python-format
msgid ""
"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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:76
#, python-format
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: %(default)s"
"Choose what to merge in the merge step in a split dataset. By default all "
"available outputs are merged. Options: %(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:77
#, python-format
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: %(default)s"
"Simple Morphological Filter elevation threshold parameter (meters). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:78
#, python-format
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. Can be one of: %(choices)s. Default: %(default)s"
"Use this tag if you have a GCP File but want to use the EXIF information for "
"georeferencing instead. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/plugin_manifest_autogenerated.js:3

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@ -7,7 +7,7 @@ msgid ""
msgstr ""
"Project-Id-Version: PACKAGE VERSION\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2021-02-08 14:32+0000\n"
"POT-Creation-Date: 2021-02-25 17:42+0000\n"
"PO-Revision-Date: 2020-12-23 16:28+0000\n"
"Last-Translator: Nathan <bonnemainsnathan@gmail.com>\n"
"Language-Team: French <https://hosted.weblate.org/projects/webodm/webodm/fr/"

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@ -7,7 +7,7 @@ msgid ""
msgstr ""
"Project-Id-Version: PACKAGE VERSION\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2021-02-08 14:32+0000\n"
"POT-Creation-Date: 2021-02-25 17:42+0000\n"
"PO-Revision-Date: 2021-01-27 11:57+0000\n"
"Last-Translator: upa <madeinupa@gmail.com>\n"
"Language-Team: Italian <https://hosted.weblate.org/projects/webodm/webodm/it/"

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locale/ko/LC_MESSAGES/django.po
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@ -7,7 +7,7 @@ msgid ""
msgstr ""
"Project-Id-Version: PACKAGE VERSION\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2021-02-08 14:32+0000\n"
"POT-Creation-Date: 2021-02-25 17:42+0000\n"
"PO-Revision-Date: 2020-12-29 07:14+0000\n"
"Last-Translator: Park Jeongyong <kladess@gmail.com>\n"
"Language-Team: Korean <https://hosted.weblate.org/projects/webodm/webodm/ko/"

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@ -7,7 +7,7 @@ msgid ""
msgstr ""
"Project-Id-Version: PACKAGE VERSION\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2021-02-08 14:32+0000\n"
"POT-Creation-Date: 2021-02-25 17:42+0000\n"
"PO-Revision-Date: 2021-01-27 11:57+0000\n"
"Last-Translator: Park Jeongyong <kladess@gmail.com>\n"
"Language-Team: Korean <https://hosted.weblate.org/projects/webodm/react-ui/"
@ -50,7 +50,7 @@ msgid "Your changes will be lost. Are you sure you want to leave?"
msgstr "변경사항들을 잃게 됩니다. 정말로 떠나기를 원하십니까?"
#: app/static/app/js/MapView.jsx:65
#: app/static/app/js/classes/PipelineSteps.js:42
#: app/static/app/js/classes/PipelineSteps.js:47
#: app/static/app/js/components/Map.jsx:82
msgid "Orthophoto"
msgstr "정사영상"
@ -201,22 +201,26 @@ msgid "Multi View Stereo"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:22
msgid "Point Filtering"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:27
msgid "Meshing"
msgstr "메쉬 생성 중"
#: app/static/app/js/classes/PipelineSteps.js:27
#: app/static/app/js/classes/PipelineSteps.js:32
msgid "Texturing"
msgstr "텍스쳐 생성 중"
#: app/static/app/js/classes/PipelineSteps.js:32
#: app/static/app/js/classes/PipelineSteps.js:37
msgid "Georeferencing"
msgstr "지오레퍼런싱"
#: app/static/app/js/classes/PipelineSteps.js:37
#: app/static/app/js/classes/PipelineSteps.js:42
msgid "DEM"
msgstr "DEM"
#: app/static/app/js/classes/PipelineSteps.js:47
#: app/static/app/js/classes/PipelineSteps.js:52
msgid "Report"
msgstr "보고"
@ -836,6 +840,11 @@ msgstr ""
"치를 의미할 수 있습니다. OpenDroneMap을 빌드했다면 모든 프로그램이 오류없이 "
"빌드되었는지 확인하세요."
#: app/static/app/js/components/TaskListItem.jsx:283
#, python-format
msgid "From %(stage)s"
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:295
msgid "Resume Processing"
msgstr "처리 다시시작"
@ -903,6 +912,14 @@ msgstr "생성됨:"
msgid "Processing Node:"
msgstr "프로세스 노드:"
#: app/static/app/js/components/TaskListItem.jsx:508
msgid "auto"
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:508
msgid "manual"
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:512
msgid "Options:"
msgstr "옵션:"
@ -972,11 +989,7 @@ msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:3
#, python-format
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: "
"%(default)s"
msgid "The maximum vertex count of the output mesh. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:4
@ -988,71 +1001,71 @@ msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:5
#, python-format
msgid ""
"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: %(default)s"
msgid "Print debug messages. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:6
#, python-format
msgid ""
"Simple Morphological Filter window radius parameter (meters). Default: "
"%(default)s"
"Set the radiometric calibration to perform on images. When processing "
"multispectral images you should set this option to obtain reflectance values "
"(otherwise you will get digital number values). [camera] applies black "
"level, vignetting, row gradient gain/exposure compensation (if appropriate "
"EXIF tags are found). [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. Can be one of: %(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:7
#, python-format
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: %(default)s"
"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. Can be one of: %(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:8
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:9
#, python-format
msgid ""
"Automatically crop image outputs by creating a smooth buffer around the "
"dataset boundaries, shrinked by N meters. Use 0 to disable cropping. "
"Default: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:10
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:11
#, python-format
msgid ""
"Export the georeferenced point cloud in LAS format. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:12
#, python-format
msgid ""
"Export the georeferenced point cloud in Entwine Point Tile (EPT) format. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:11
#, python-format
msgid ""
"Use this tag if you have a GCP File but want to use the EXIF information for "
"georeferencing instead. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:12
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:13
#, python-format
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). "
"Type of photometric outlier removal method. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
@ -1065,97 +1078,122 @@ msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:15
#, python-format
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. Set to 0 to disable sampling. Default: %(default)s"
msgid "Print additional messages to the console. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:16
#, python-format
msgid "Generates a benchmark file with runtime info. Default: %(default)s"
msgid ""
"URL to a ClusterODM instance for distributing a split-merge workflow on "
"multiple nodes in parallel. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:17
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:18
#, python-format
msgid ""
"Export the georeferenced point cloud in LAS format. Default: %(default)s"
msgid "Generates a benchmark file with runtime info. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:19
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:20
#, python-format
msgid "Skip the blending of colors near seams. Default: %(default)s"
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:21
#, python-format
msgid ""
"Set the compression to use for orthophotos. Can be one of: %(choices)s. "
"Default: %(default)s"
"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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:22
#, python-format
msgid ""
"Build orthophoto overviews for faster display in programs such as QGIS. "
"Default: %(default)s"
msgid "Displays version number and exits. "
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:23
#, python-format
msgid ""
"Path to the project folder. Your project folder should contain subfolders "
"for each dataset. Each dataset should have an \"images\" folder."
"Set feature extraction quality. Higher quality generates better features, "
"but requires more memory and takes longer. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:24
#, python-format
msgid "The maximum vertex count of the output mesh. Default: %(default)s"
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:25
#, python-format
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:<code> or <+proj definition>image_name geo_x geo_y geo_z [omega "
"(degrees)] [phi (degrees)] [kappa (degrees)] [horz accuracy (meters)] [vert "
"accuracy (meters)]Default: %(default)s"
"Skip generation of PDF report. This can save time if you don't need a "
"report. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:26
#, python-format
msgid ""
"Rerun this stage only and stop. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:27
#, python-format
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. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:28
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:29
#, python-format
msgid "Skip the blending of colors near seams. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:30
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:27
#, python-format
msgid ""
"Skip normalization of colors across all images. Useful when processing "
"radiometric data. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:28
#: app/static/app/js/translations/odm_autogenerated.js:31
#, python-format
msgid ""
"Generates a polygon around the cropping area that cuts the orthophoto around "
@ -1163,22 +1201,7 @@ msgid ""
"mosaics with multiple overlapping orthophotos. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:29
#, python-format
msgid ""
"The maximum number of processes to use in various processes. Peak memory "
"requirement is ~1GB per thread and 2 megapixel image resolution. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:30
#, python-format
msgid ""
"Skip generation of PDF report. This can save time if you don't need a "
"report. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:31
#: app/static/app/js/translations/odm_autogenerated.js:32
#, python-format
msgid ""
"Distance threshold in meters to find pre-matching images based on GPS exif "
@ -1186,33 +1209,23 @@ msgid ""
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:32
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:33
#, python-format
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: %(default)s"
"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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:34
#, python-format
msgid ""
"Set the radiometric calibration to perform on images. When processing "
"multispectral images you should set this option to obtain reflectance values "
"(otherwise you will get digital number values). [camera] applies black "
"level, vignetting, row gradient gain/exposure compensation (if appropriate "
"EXIF tags are found). [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. Can be one of: %(choices)s. Default: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:35
@ -1227,145 +1240,148 @@ msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:36
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:37
#, python-format
msgid ""
"Permanently delete all previous results and rerun the processing pipeline."
"Set this parameter if you want to generate a PNG rendering of the "
"orthophoto. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:38
#, python-format
msgid ""
"Octree depth used in the mesh reconstruction, increase to get more vertices, "
"recommended values are 8-12. Default: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:39
#, python-format
msgid ""
"Simple Morphological Filter elevation scalar parameter. Default: %(default)s"
msgid "show this help message and exit"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:40
#, python-format
msgid ""
"URL to a ClusterODM instance for distributing a split-merge workflow on "
"multiple nodes in parallel. Default: %(default)s"
"Simple Morphological Filter elevation scalar parameter. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:41
#, python-format
msgid ""
"Rerun this stage only and stop. Can be one of: %(choices)s. Default: "
"%(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:42
#, python-format
msgid ""
"Export the georeferenced point cloud in CSV format. Default: %(default)s"
"End processing at this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:43
#, python-format
msgid ""
"Type of photometric outlier removal method. Can be one of: %(choices)s. "
"Default: %(default)s"
"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. Set to 0 to disable sampling. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:44
#, python-format
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: "
"%(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:45
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:46
#, python-format
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: "
"%(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:47
#, python-format
msgid "Print additional messages to the console. Default: %(default)s"
msgid ""
"Permanently delete all previous results and rerun the processing pipeline."
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:48
#, python-format
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:49
#, python-format
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.Can be one of: "
"%(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:49
#, python-format
msgid ""
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:50
#, python-format
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: %(default)s"
"Path to the project folder. Your project folder should contain subfolders "
"for each dataset. Each dataset should have an \"images\" folder."
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:51
#, python-format
msgid ""
"Simple Morphological Filter elevation threshold parameter (meters). Default: "
"Simple Morphological Filter slope parameter (rise over run). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:52
#, python-format
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. Can be one of: %(choices)s. Default: "
"The maximum number of processes to use in various processes. Peak memory "
"requirement is ~1GB per thread and 2 megapixel image resolution. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:53
#, python-format
msgid ""
"Name of dataset (i.e subfolder name within project folder). Default: "
"%(default)s"
"Skip normalization of colors across all images. Useful when processing "
"radiometric data. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:54
#, python-format
msgid "Print debug messages. Default: %(default)s"
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:55
#, python-format
msgid ""
"Skip generation of a full 3D model. This can save time if you only need 2D "
"results such as orthophotos and DEMs. Default: %(default)s"
"Generate static tiles for orthophotos and DEMs that are suitable for viewers "
"like Leaflet or OpenLayers. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:56
@ -1377,112 +1393,137 @@ msgid ""
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:57
msgid "show this help message and exit"
#, python-format
msgid "Set this parameter if you want a striped GeoTIFF. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:58
#, python-format
msgid ""
"Set this parameter if you want to generate a PNG rendering of the "
"orthophoto. Default: %(default)s"
"Rerun processing from this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:59
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:60
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:61
#, python-format
msgid ""
"Set the compression to use for orthophotos. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:62
#, python-format
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:<code> or <+proj definition>image_name geo_x geo_y geo_z [omega "
"(degrees)] [phi (degrees)] [kappa (degrees)] [horz accuracy (meters)] [vert "
"accuracy (meters)]Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:63
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:64
#, python-format
msgid ""
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:60
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:61
#, python-format
msgid ""
"Set feature extraction quality. Higher quality generates better features, "
"but requires more memory and takes longer. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:62
#, python-format
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:63
#, python-format
msgid ""
"Rerun processing from this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:64
#, python-format
msgid ""
"Simple Morphological Filter slope parameter (rise over run). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:65
#, python-format
msgid "Set this parameter if you want a striped GeoTIFF. Default: %(default)s"
msgid ""
"Automatically crop image outputs by creating a smooth buffer around the "
"dataset boundaries, shrinked by N meters. Use 0 to disable cropping. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:66
#, python-format
msgid ""
"End processing at this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
"Export the georeferenced point cloud in CSV format. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:67
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:68
#, python-format
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: %(default)s"
"Simple Morphological Filter window radius parameter (meters). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:69
#, python-format
msgid ""
"Choose what to merge in the merge step in a split dataset. By default all "
"available outputs are merged. Options: %(choices)s. Default: %(default)s"
"Build orthophoto overviews for faster display in programs such as QGIS. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:70
#, python-format
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: "
"%(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:71
#, python-format
msgid ""
"Name of dataset (i.e subfolder name within project folder). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:72
#, python-format
msgid ""
"Skip generation of a full 3D model. This can save time if you only need 2D "
"results such as orthophotos and DEMs. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:73
#, python-format
msgid ""
"Octree depth used in the mesh reconstruction, increase to get more vertices, "
"recommended values are 8-12. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:74
#, python-format
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 "
@ -1491,58 +1532,34 @@ msgid ""
"areas. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:72
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:73
#, python-format
msgid ""
"Generate static tiles for orthophotos and DEMs that are suitable for viewers "
"like Leaflet or OpenLayers. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:74
msgid "Displays version number and exits. "
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:75
#, python-format
msgid ""
"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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:76
#, python-format
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: %(default)s"
"Choose what to merge in the merge step in a split dataset. By default all "
"available outputs are merged. Options: %(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:77
#, python-format
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: %(default)s"
"Simple Morphological Filter elevation threshold parameter (meters). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:78
#, python-format
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. Can be one of: %(choices)s. Default: %(default)s"
"Use this tag if you have a GCP File but want to use the EXIF information for "
"georeferencing instead. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/plugin_manifest_autogenerated.js:3

7
locale/nb_NO/LC_MESSAGES/django.po
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@ -8,7 +8,7 @@ msgstr ""
"Project-Id-Version: PACKAGE VERSION\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2020-12-22 19:06+0000\n"
"PO-Revision-Date: 2021-02-08 14:30+0000\n"
"PO-Revision-Date: 2021-02-11 02:50+0000\n"
"Last-Translator: Allan Nordhøy <epost@anotheragency.no>\n"
"Language-Team: Norwegian Bokmål <https://hosted.weblate.org/projects/webodm/"
"webodm/nb_NO/>\n"
@ -729,7 +729,7 @@ msgstr ""
#: app/models/theme.py:35
msgid "Failed"
msgstr ""
msgstr "Mislyktes"
#: app/models/theme.py:36
msgid "The background color of success notifications."
@ -1210,8 +1210,9 @@ msgid "Hello, %(user)s!"
msgstr ""
#: app/templates/app/logged_in_base.html:19
#, fuzzy
msgid "Logout"
msgstr ""
msgstr "Logg ut"
#: app/templates/app/logged_in_base.html:33 app/views/app.py:46
msgid "Dashboard"

185
locale/nb_NO/LC_MESSAGES/djangojs.po
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@ -8,7 +8,7 @@ msgstr ""
"Project-Id-Version: PACKAGE VERSION\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2020-12-22 19:06+0000\n"
"PO-Revision-Date: 2020-12-22 17:23+0000\n"
"PO-Revision-Date: 2021-02-11 02:50+0000\n"
"Last-Translator: Allan Nordhøy <epost@anotheragency.no>\n"
"Language-Team: Norwegian Bokmål <https://hosted.weblate.org/projects/webodm/"
"react-ui/nb_NO/>\n"
@ -17,7 +17,7 @@ msgstr ""
"Content-Type: text/plain; charset=UTF-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=2; plural=n != 1;\n"
"X-Generator: Weblate 4.4-dev\n"
"X-Generator: Weblate 4.5-dev\n"
#: app/static/app/js/Console.jsx:135
#, python-format
@ -27,7 +27,7 @@ msgstr ""
#: app/static/app/js/Console.jsx:147 app/static/app/js/Console.jsx:155
#: app/static/app/js/Console.jsx:165
msgid "Toggle Fullscreen"
msgstr ""
msgstr "Veksle fullskjermsvisning"
#: app/static/app/js/Console.jsx:148 app/static/app/js/Console.jsx:156
msgid "Exit Fullscreen"
@ -40,7 +40,7 @@ msgstr "Last ned som fil"
#: app/static/app/js/Dashboard.jsx:26
msgid "Name field is required"
msgstr ""
msgstr "Navnefelt kreves"
#: app/static/app/js/Dashboard.jsx:62
msgid "Add Project"
@ -58,7 +58,7 @@ msgstr ""
#: app/static/app/js/MapView.jsx:70 app/static/app/js/components/Map.jsx:84
msgid "Plant Health"
msgstr ""
msgstr "Plantehelse"
#: app/static/app/js/MapView.jsx:75
msgid "Surface Model"
@ -74,7 +74,7 @@ msgstr ""
#: app/static/app/js/ModelView.jsx:69
msgid "Show Cameras"
msgstr ""
msgstr "Vis kamera"
#: app/static/app/js/ModelView.jsx:482
msgid "Loading textured model..."
@ -102,31 +102,31 @@ msgstr ""
#: app/static/app/js/classes/AssetDownloads.js:41
msgid "Terrain Model (Tiles)"
msgstr ""
msgstr "Terrengmodell (flis)"
#: app/static/app/js/classes/AssetDownloads.js:42
msgid "Surface Model (GeoTIFF)"
msgstr ""
msgstr "Overflatemodell (GeoTIFF)"
#: app/static/app/js/classes/AssetDownloads.js:43
msgid "Surface Model (Tiles)"
msgstr ""
msgstr "Overflatemodell (flis)"
#: app/static/app/js/classes/AssetDownloads.js:44
msgid "Point Cloud (LAS)"
msgstr ""
msgstr "Punktsky (LAS)"
#: app/static/app/js/classes/AssetDownloads.js:45
msgid "Point Cloud (LAZ)"
msgstr ""
msgstr "Punktsky (LAZ)"
#: app/static/app/js/classes/AssetDownloads.js:46
msgid "Point Cloud (PLY)"
msgstr ""
msgstr "Punktsky (PLY)"
#: app/static/app/js/classes/AssetDownloads.js:47
msgid "Point Cloud (CSV)"
msgstr ""
msgstr "Punktsky (CSV)"
#: app/static/app/js/classes/AssetDownloads.js:48
msgid "Textured Model"
@ -163,23 +163,23 @@ msgstr ""
#: app/static/app/js/classes/PendingActions.js:14
#: app/static/app/js/components/FormDialog.jsx:170
msgid "Deleting..."
msgstr ""
msgstr "Sletter …"
#: app/static/app/js/classes/PendingActions.js:17
msgid "Restarting..."
msgstr ""
msgstr "Starter på ny …"
#: app/static/app/js/classes/PendingActions.js:20
msgid "Resizing images..."
msgstr ""
msgstr "Endrer bildeoppløsning …"
#: app/static/app/js/classes/PendingActions.js:23
msgid "Importing..."
msgstr ""
msgstr "Importerer …"
#: app/static/app/js/classes/PipelineSteps.js:7
msgid "Load Dataset"
msgstr ""
msgstr "Last inn datasett"
#: app/static/app/js/classes/PipelineSteps.js:12
msgid "Structure From Motion / MVS"
@ -207,36 +207,36 @@ msgstr ""
#: app/static/app/js/classes/ResizeModes.js:4
msgid "No"
msgstr ""
msgstr "Nei"
#: app/static/app/js/classes/ResizeModes.js:5
msgid "Yes"
msgstr ""
msgstr "Ja"
#: app/static/app/js/classes/StatusCodes.js:11
msgid "Queued"
msgstr ""
msgstr "I kø"
#: app/static/app/js/classes/StatusCodes.js:15
msgid "Running"
msgstr ""
msgstr "Kjører"
#: app/static/app/js/classes/StatusCodes.js:19
msgid "Failed"
msgstr ""
msgstr "Mislyktes"
#: app/static/app/js/classes/StatusCodes.js:23
msgid "Completed"
msgstr ""
msgstr "Fullført"
#: app/static/app/js/classes/StatusCodes.js:27
msgid "Canceled"
msgstr ""
msgstr "Kansellert"
#: app/static/app/js/classes/TempLayer.js:14
#, python-format
msgid "%(file)s is bigger than 5 MB."
msgstr ""
msgstr "%(file)s er større enn 5 MB."
#: app/static/app/js/classes/TempLayer.js:30
#, python-format
@ -328,7 +328,7 @@ msgstr ""
#: app/static/app/js/components/EditTaskForm.jsx:232
#: app/static/app/js/components/EditTaskForm.jsx:353
msgid "Default"
msgstr ""
msgstr "Forvalg"
#: app/static/app/js/components/EditTaskForm.jsx:437
msgid "My Preset"
@ -337,7 +337,7 @@ msgstr ""
#: app/static/app/js/components/EditTaskForm.jsx:437
#, python-format
msgid "Copy of %(preset)s"
msgstr ""
msgstr "Kopi av %(preset)s"
#: app/static/app/js/components/EditTaskForm.jsx:460
msgid "Could not duplicate the preset. Please try to refresh the page."
@ -352,7 +352,7 @@ msgstr ""
#: app/static/app/js/components/EditTaskForm.jsx:473
#, python-format
msgid "Are you sure you want to delete \"%(preset)s\"?"
msgstr ""
msgstr "Er du sikker på at du vil slette «%(preset)s»?"
#: app/static/app/js/components/EditTaskForm.jsx:486
msgid "Could not delete the preset. Please try to refresh the page."
@ -444,11 +444,11 @@ msgstr "Kunne ikke slette element"
#: app/static/app/js/components/Histogram.jsx:293
msgid "Min:"
msgstr ""
msgstr "Min:"
#: app/static/app/js/components/Histogram.jsx:294
msgid "Max:"
msgstr ""
msgstr "Maks:"
#: app/static/app/js/components/ImagePopup.jsx:47
#, fuzzy
@ -467,7 +467,7 @@ msgstr ""
#: app/static/app/js/components/ImportTaskPanel.jsx:91
#, python-format
msgid "Invalid response from server: %(error)s"
msgstr "Ugyldig svar fra tjener:"
msgstr "Ugyldig svar fra tjener: %(error)s"
#: app/static/app/js/components/ImportTaskPanel.jsx:94
msgid "An error occured while uploading the file. Please try again."
@ -633,7 +633,7 @@ msgstr ""
#: app/static/app/js/components/ProcessingNodeOption.jsx:140
#: app/static/app/js/translations/potree_autogenerated.js:62
msgid "Enable"
msgstr ""
msgstr "Skru på"
#: app/static/app/js/components/ProcessingNodeOption.jsx:149
#, fuzzy
@ -647,12 +647,13 @@ msgstr "Tilbakestill til forvalg"
#: app/static/app/js/components/ProjectList.jsx:63
#, python-format
msgid "Could not load projects list: %(error)s"
msgstr "Kunne ikke laste inn prosjektliste:"
msgstr "Kunne ikke laste inn prosjektliste: %(error)s"
#: app/static/app/js/components/ProjectListItem.jsx:185
#, python-format
msgid "Cannot upload %(filename)s, exceeded max retries (%(max_retries)s)"
msgstr ""
"Kan ikke laste opp %(filename)s. For mange forsøk brukt (%(max_retries)s)"
#: app/static/app/js/components/ProjectListItem.jsx:234
#: app/static/app/js/components/ProjectListItem.jsx:346
@ -663,7 +664,7 @@ msgstr ""
#: app/static/app/js/components/ProjectListItem.jsx:237
#: app/static/app/js/components/ProjectListItem.jsx:350
msgid "Cannot create new task. Please try again later."
msgstr ""
msgstr "Kan ikke opprette ny oppgave. Prøv igjen senere."
#: app/static/app/js/components/ProjectListItem.jsx:244
#, python-format
@ -674,7 +675,7 @@ msgstr ""
#: app/static/app/js/components/ProjectListItem.jsx:473
msgid "Edit Project"
msgstr ""
msgstr "Rediger prosjekt"
#: app/static/app/js/components/ProjectListItem.jsx:474
msgid "Save Changes"
@ -696,7 +697,7 @@ msgstr "Vis kart"
#: app/static/app/js/components/ProjectListItem.jsx:528
#, python-format
msgid "%(count)s Tasks"
msgstr ""
msgstr "%(count)s gjøremål"
#: app/static/app/js/components/ShareButton.jsx:58
msgid "Share"
@ -708,7 +709,7 @@ msgstr ""
#: app/static/app/js/components/SharePopup.jsx:78
msgid "Share This Task"
msgstr ""
msgstr "Del dette gjøremålet"
#: app/static/app/js/components/SharePopup.jsx:87
msgid "QR"
@ -737,12 +738,12 @@ msgstr "2D"
#: app/static/app/js/components/TaskList.jsx:51
#, python-format
msgid "Could not load task list: %(error)s"
msgstr ""
msgstr "Kunne ikke laste inn gjøremålsliste: %(error)s"
#: app/static/app/js/components/TaskList.jsx:77
#, python-format
msgid "Error: %(error)s"
msgstr "Feil:"
msgstr "Feil: %(error)s"
#: app/static/app/js/components/TaskList.jsx:77
msgid "Try again"
@ -755,7 +756,7 @@ msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:200
#: app/static/app/js/components/TaskListItem.jsx:207
msgid "Cannot complete operation."
msgstr ""
msgstr "Kan ikke fullføre operasjon."
#: app/static/app/js/components/TaskListItem.jsx:250
#, python-format
@ -766,7 +767,7 @@ msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:251
msgid "Not enough images"
msgstr ""
msgstr "Ikke nok bilder"
#: app/static/app/js/components/TaskListItem.jsx:252
msgid "Not enough overlap between images"
@ -820,7 +821,7 @@ msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:368
#, python-format
msgid "Task #%(number)s"
msgstr ""
msgstr "Gjøremål #%(number)s"
#: app/static/app/js/components/TaskListItem.jsx:372
msgid "Uploading images to processing node"
@ -840,7 +841,7 @@ msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:434
msgid "Restart"
msgstr ""
msgstr "Omstart"
#: app/static/app/js/components/TaskListItem.jsx:440
msgid ""
@ -928,12 +929,12 @@ msgstr ""
#: app/static/app/js/components/UploadProgressBar.jsx:29
#, python-format
msgid "remaining to upload: %(bytes)s"
msgstr "gjenstår å laste opp:"
msgstr "gjenstår å laste opp: %(bytes)s"
#: app/static/app/js/components/UploadProgressBar.jsx:35
#, python-format
msgid "%(count)s files %(remaining)s"
msgstr "%(count)s filer"
msgstr "%(count)s filer %(remaining)s"
#: app/static/app/js/components/UploadProgressBar.jsx:36
#, fuzzy, python-format
@ -1606,7 +1607,7 @@ msgstr ""
#: app/static/app/js/translations/potree_autogenerated.js:16
msgid "Point measurement"
msgstr ""
msgstr "Punktmåling"
#: app/static/app/js/translations/potree_autogenerated.js:17
msgid "Distance measurement"
@ -1727,28 +1728,28 @@ msgstr ""
#: app/static/app/js/translations/potree_autogenerated.js:46
msgid "Compass"
msgstr ""
msgstr "Kompass"
#: app/static/app/js/translations/potree_autogenerated.js:47
msgid "Camera Animation"
msgstr ""
msgstr "Kameraanimasjon"
#: app/static/app/js/translations/potree_autogenerated.js:48
msgid "Point budget"
msgstr ""
msgstr "Punktbudsjett"
#: app/static/app/js/translations/potree_autogenerated.js:49
msgid "Point size"
msgstr ""
msgstr "Punktstørrelse"
#: app/static/app/js/translations/potree_autogenerated.js:50
msgid "Minimum size"
msgstr ""
msgstr "Minimumsstørrelse"
#: app/static/app/js/translations/potree_autogenerated.js:51
#: app/static/app/js/translations/potree_autogenerated.js:61
msgid "Opacity"
msgstr ""
msgstr "Dekkevne"
#: app/static/app/js/translations/potree_autogenerated.js:52
msgid "Field of view"
@ -1768,19 +1769,19 @@ msgstr ""
#: app/static/app/js/translations/potree_autogenerated.js:57
msgid "Quality"
msgstr ""
msgstr "Kvalitet"
#: app/static/app/js/translations/potree_autogenerated.js:58
msgid "Shape"
msgstr ""
msgstr "Form"
#: app/static/app/js/translations/potree_autogenerated.js:59
msgid "Radius"
msgstr ""
msgstr "Radius"
#: app/static/app/js/translations/potree_autogenerated.js:60
msgid "Strength"
msgstr ""
msgstr "Styrke"
#: app/static/app/js/translations/potree_autogenerated.js:63
msgid "Min node size"
@ -1796,7 +1797,7 @@ msgstr ""
#: app/static/app/js/translations/potree_autogenerated.js:66
msgid "Sky"
msgstr ""
msgstr "Himmel"
#: app/static/app/js/translations/potree_autogenerated.js:67
msgid "Keep above ground"
@ -1808,16 +1809,16 @@ msgstr ""
#: app/static/app/js/translations/potree_autogenerated.js:69
msgid "Length unit"
msgstr ""
msgstr "Lengdeenhet"
#: app/static/app/js/translations/potree_autogenerated.js:70
msgid "Lock view"
msgstr ""
msgstr "Lås visning"
#: app/static/app/js/translations/potree_autogenerated.js:71
#: app/static/app/js/translations/potree_autogenerated.js:88
msgid "Language"
msgstr ""
msgstr "Språk"
#: app/static/app/js/translations/potree_autogenerated.js:72
msgid "Backface Culling"
@ -1833,31 +1834,33 @@ msgstr ""
#: app/static/app/js/translations/potree_autogenerated.js:75
msgid "show in 3D"
msgstr ""
msgstr "vis i 3D"
#: app/static/app/js/translations/potree_autogenerated.js:76
msgid "show on map"
msgstr ""
msgstr "vis på kart"
#: app/static/app/js/translations/potree_autogenerated.js:77
msgid "Number of Points"
msgstr ""
msgstr "Antall piunkter"
#: app/static/app/js/translations/potree_autogenerated.js:79
#, fuzzy
msgid "Save LAS(3D)"
msgstr ""
msgstr "Lagren LAS(3D)"
#: app/static/app/js/translations/potree_autogenerated.js:80
#, fuzzy
msgid "Save CSV(2D)"
msgstr ""
msgstr "Lagre CSV(2D)"
#: app/static/app/js/translations/potree_autogenerated.js:81
msgid "Camera Position"
msgstr ""
msgstr "Kameraposisjon"
#: app/static/app/js/translations/potree_autogenerated.js:82
msgid "Camera Target"
msgstr ""
msgstr "Kameramål"
#: app/static/app/js/translations/potree_autogenerated.js:83
msgid "Return Number"
@ -1873,11 +1876,11 @@ msgstr ""
#: app/static/app/js/translations/potree_autogenerated.js:86
msgid "max"
msgstr ""
msgstr "maks"
#: app/static/app/js/translations/potree_autogenerated.js:87
msgid "GPS Time"
msgstr ""
msgstr "GPS-tid"
#: plugins/contours/public/ContoursPanel.jsx:57
msgid ""
@ -1912,19 +1915,19 @@ msgstr ""
#: plugins/contours/public/ContoursPanel.jsx:242
msgid "Interval:"
msgstr ""
msgstr "Intervall:"
#: plugins/contours/public/ContoursPanel.jsx:245
#: plugins/contours/public/ContoursPanel.jsx:254
#: plugins/contours/public/ContoursPanel.jsx:272
#: plugins/contours/public/ContoursPanel.jsx:281
msgid "meter"
msgstr ""
msgstr "meter"
#: plugins/contours/public/ContoursPanel.jsx:252
#: plugins/contours/public/ContoursPanel.jsx:279
msgid "Value:"
msgstr ""
msgstr "Verdi:"
#: plugins/contours/public/ContoursPanel.jsx:260
#, fuzzy
@ -1934,7 +1937,7 @@ msgstr "Lag"
#: plugins/contours/public/ContoursPanel.jsx:269
msgid "Simplify:"
msgstr ""
msgstr "Forenkle:"
#: plugins/contours/public/ContoursPanel.jsx:287
#, fuzzy
@ -1943,8 +1946,9 @@ msgid "Projection:"
msgstr "Legg til prosjekt"
#: plugins/contours/public/ContoursPanel.jsx:314
#, fuzzy
msgid "Preview"
msgstr ""
msgstr "Forhåndsvis"
#: plugins/contours/public/ContoursPanel.jsx:319
#, fuzzy
@ -1953,7 +1957,7 @@ msgstr "Importer"
#: plugins/contours/public/ContoursPanel.jsx:352
msgid "Contours"
msgstr ""
msgstr "Konturer"
#: plugins/lightning/public/CostEstimateItem.jsx:103
msgid "Cannot retrieve estimate. Try again later."
@ -1989,12 +1993,12 @@ msgstr ""
#: plugins/lightning/public/Dashboard.jsx:83
msgid "Logging out…"
msgstr ""
msgstr "Logger ut …"
#: plugins/lightning/public/Dashboard.jsx:89
#: plugins/lightning/public/Dashboard.jsx:94
msgid "Cannot logout:"
msgstr ""
msgstr "Kan ikke logge ut:"
#: plugins/lightning/public/Dashboard.jsx:115
msgid "credits"
@ -2018,7 +2022,7 @@ msgstr ""
#: plugins/lightning/public/Dashboard.jsx:135
msgid "Hello,"
msgstr ""
msgstr "Hei,"
#: plugins/lightning/public/Dashboard.jsx:138
msgid "Synced Nodes"
@ -2033,12 +2037,14 @@ msgid "Dashboard"
msgstr ""
#: plugins/lightning/public/Dashboard.jsx:159
#, fuzzy
msgid "Logout"
msgstr ""
msgstr "Logg ut"
#: plugins/lightning/public/Login.jsx:56
#, fuzzy
msgid "Cannot login. Invalid response:"
msgstr ""
msgstr "Kan ikke logge inn. Ugyldig respons:"
#: plugins/lightning/public/Login.jsx:60
msgid ""
@ -2048,23 +2054,24 @@ msgstr ""
#: plugins/lightning/public/Login.jsx:90
msgid "E-mail Address"
msgstr ""
msgstr "E-postadresse"
#: plugins/lightning/public/Login.jsx:97
msgid "Password"
msgstr ""
msgstr "Passord"
#: plugins/lightning/public/Login.jsx:104
msgid "Don't have an account?"
msgstr ""
msgstr "Har du ikke en konto?"
#: plugins/lightning/public/Login.jsx:105
msgid "Forgot password?"
msgstr ""
msgstr "Glemt passordet?"
#: plugins/lightning/public/Login.jsx:110
#, fuzzy
msgid "Login and Sync"
msgstr ""
msgstr "Logg inn og synkroniser"
#: plugins/lightning/public/app.jsx:39
msgid "Lightning Network"
@ -2096,7 +2103,7 @@ msgstr "Ugyldig JSON-svar: %(error)s"
#: plugins/measure/public/MeasurePopup.jsx:142
msgid "Area:"
msgstr ""
msgstr "Område:"
#: plugins/measure/public/MeasurePopup.jsx:143
msgid "Perimeter:"
@ -2200,7 +2207,7 @@ msgstr ""
#: plugins/measure/public/app.jsx:36
msgid "Feet"
msgstr ""
msgstr "Fot"
#: plugins/measure/public/app.jsx:37
#, fuzzy
@ -2210,7 +2217,7 @@ msgstr "Filter"
#: plugins/measure/public/app.jsx:38
msgid "Hectares"
msgstr ""
msgstr "Hektar"
#: plugins/measure/public/app.jsx:39
#, fuzzy

40
locale/pt_BR/LC_MESSAGES/django.po
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@ -7,9 +7,9 @@ msgid ""
msgstr ""
"Project-Id-Version: PACKAGE VERSION\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2021-02-08 14:32+0000\n"
"PO-Revision-Date: 2021-01-27 11:57+0000\n"
"Last-Translator: COMDC <dfc.drone1@gmail.com>\n"
"POT-Creation-Date: 2021-02-25 17:42+0000\n"
"PO-Revision-Date: 2021-02-11 02:50+0000\n"
"Last-Translator: Carlos Grohmann <carlos.grohmann@gmail.com>\n"
"Language-Team: Portuguese (Brazil) <https://hosted.weblate.org/projects/"
"webodm/webodm/pt_BR/>\n"
"Language: pt_BR\n"
@ -74,7 +74,7 @@ msgstr "Versão"
#: app/admin.py:112
msgid "Author"
msgstr "Autor(a)"
msgstr "Autor"
#: app/admin.py:233
msgid "Actions"
@ -214,7 +214,7 @@ msgstr "Não é possível criar tarefa, você precisa de ao menos 2 imagens"
#: app/api/tasks.py:329 app/api/tasks.py:332 app/api/tasks.py:351
#: app/api/tasks.py:354
msgid "Asset does not exist"
msgstr "Ativo não existe"
msgstr "Recurso não existe"
#: app/api/tasks.py:370
msgid "Imported Task"
@ -289,12 +289,12 @@ msgstr "Chave"
#: app/models/plugin_datum.py:8
msgid "The user this setting belongs to. If NULL, the setting is global."
msgstr ""
"O(a) usuário(a) ao qual esta configuração pertence. Se NULL, a configuração "
"é global."
"O usuário ao qual esta configuração pertence. Se NULL, a configuração é "
"global."
#: app/models/plugin_datum.py:8 app/templates/app/admin/object_history.html:23
msgid "User"
msgstr "Usuário(a)"
msgstr "Usuário"
#: app/models/plugin_datum.py:9
msgid "Integer value"
@ -326,7 +326,7 @@ msgstr "A pessoa que é dona deste preset"
#: app/models/preset.py:9 app/models/project.py:22
msgid "Owner"
msgstr "Dono(a)"
msgstr "Dono"
#: app/models/preset.py:10
msgid "A label used to describe the preset"
@ -363,11 +363,11 @@ msgstr "Sistema"
#: app/models/preset.py:20
msgid "Preset"
msgstr "Preset"
msgstr "Predefinição"
#: app/models/preset.py:21
msgid "Presets"
msgstr "Pré-Ajustes"
msgstr "Predefinições"
#: app/models/project.py:22
msgid "The person who created the project"
@ -530,11 +530,11 @@ msgstr "Opções que estão sendo usadas para processar esta tarefa"
#: app/models/task.py:229
msgid "List of available assets to download"
msgstr "Lista de ativos disponíveis para download"
msgstr "Lista de recursos disponíveis para download"
#: app/models/task.py:229
msgid "Available Assets"
msgstr "Ativos Disponíveis"
msgstr "Recursos Disponíveis"
#: app/models/task.py:230
msgid "Console output of the processing node"
@ -554,11 +554,11 @@ msgstr "Extensão de ortofoto"
#: app/models/task.py:233
msgid "DSM Extent"
msgstr "Extensão DSM"
msgstr "Extensão do MDS"
#: app/models/task.py:234
msgid "DTM Extent"
msgstr "Extensão DTM"
msgstr "Extensão do MDT"
#: app/models/task.py:238
msgid ""
@ -667,7 +667,7 @@ msgstr "sem nome"
#: app/models/task.py:373
msgid "Importing assets..."
msgstr "Importando ativos ..."
msgstr "Importando recursos ..."
#: app/models/task.py:412 app/models/task.py:680
msgid "Invalid zip file"
@ -1187,7 +1187,7 @@ msgstr "Excluir %(model)s selecionado"
#: app/templates/app/admin/search_form.html:7
msgid "Search"
msgstr "Buscar"
msgstr "Pesquisar"
#: app/templates/app/admin/search_form.html:9
#, python-format
@ -1444,7 +1444,7 @@ msgstr "Calcule e desenhe um mapa de elevação com base nos MDEs de uma tarefa"
#: app/translations/plugin_manifest_autogenerated.py:14
msgid "Upload and tile ODM assets with Cesium ion."
msgstr "Faça upload e agrupe ativos ODM com Cesium ion."
msgstr "Faça upload e agrupe recursos ODM com Cesium ion."
#: app/translations/plugin_manifest_autogenerated.py:15
msgid "Import images from external sources directly"
@ -1572,7 +1572,7 @@ msgstr "Nenhuma camada DSM está disponível."
#: plugins/contours/api.py:18
msgid "No DTM layer is available."
msgstr "Nenhuma camada DTM está disponível."
msgstr "Nenhuma camada MDT está disponível."
#: plugins/contours/api.py:60
msgid "Could not generate contour file. This might be a bug."
@ -1668,7 +1668,7 @@ msgid ""
msgstr ""
"Nenhum modelo de superfície disponível. No Painel de controle, selecione "
"esta tarefa, pressione Editar, nas opções certifique-se de marcar \"dsm\" e "
"pressione reiniciar --> do DEM."
"pressione reiniciar --> do MDE."
#: plugins/posm-gcpi/plugin.py:8
msgid "GCP Interface"

1375
locale/pt_BR/LC_MESSAGES/djangojs.po
Wyświetl plik

Plik diff jest za duży Load Diff

2
locale/ru/LC_MESSAGES/django.po
Wyświetl plik

@ -7,7 +7,7 @@ msgid ""
msgstr ""
"Project-Id-Version: PACKAGE VERSION\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2021-02-08 14:32+0000\n"
"POT-Creation-Date: 2021-02-25 17:42+0000\n"
"PO-Revision-Date: 2021-01-12 14:33+0000\n"
"Last-Translator: Jurijs Jeskins <jurijs.jeshkins@gmail.com>\n"
"Language-Team: Russian <https://hosted.weblate.org/projects/webodm/webodm/ru/"

537
locale/ru/LC_MESSAGES/djangojs.po
Wyświetl plik

@ -7,7 +7,7 @@ msgid ""
msgstr ""
"Project-Id-Version: PACKAGE VERSION\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2021-02-08 14:32+0000\n"
"POT-Creation-Date: 2021-02-25 17:42+0000\n"
"PO-Revision-Date: 2021-01-27 11:57+0000\n"
"Last-Translator: Emil Ismayilov <emil.ismayilov@idrak.az>\n"
"Language-Team: Russian <https://hosted.weblate.org/projects/webodm/react-ui/"
@ -51,7 +51,7 @@ msgid "Your changes will be lost. Are you sure you want to leave?"
msgstr ""
#: app/static/app/js/MapView.jsx:65
#: app/static/app/js/classes/PipelineSteps.js:42
#: app/static/app/js/classes/PipelineSteps.js:47
#: app/static/app/js/components/Map.jsx:82
msgid "Orthophoto"
msgstr "Ортофото"
@ -200,22 +200,26 @@ msgid "Multi View Stereo"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:22
msgid "Meshing"
msgid "Point Filtering"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:27
msgid "Texturing"
msgid "Meshing"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:32
msgid "Georeferencing"
msgid "Texturing"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:37
msgid "Georeferencing"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:42
msgid "DEM"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:47
#: app/static/app/js/classes/PipelineSteps.js:52
msgid "Report"
msgstr ""
@ -811,6 +815,11 @@ msgid ""
"please check that all programs built without errors."
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:283
#, python-format
msgid "From %(stage)s"
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:295
msgid "Resume Processing"
msgstr ""
@ -878,6 +887,14 @@ msgstr ""
msgid "Processing Node:"
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:508
msgid "auto"
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:508
msgid "manual"
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:512
msgid "Options:"
msgstr ""
@ -947,11 +964,7 @@ msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:3
#, python-format
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: "
"%(default)s"
msgid "The maximum vertex count of the output mesh. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:4
@ -963,71 +976,71 @@ msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:5
#, python-format
msgid ""
"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: %(default)s"
msgid "Print debug messages. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:6
#, python-format
msgid ""
"Simple Morphological Filter window radius parameter (meters). Default: "
"%(default)s"
"Set the radiometric calibration to perform on images. When processing "
"multispectral images you should set this option to obtain reflectance values "
"(otherwise you will get digital number values). [camera] applies black "
"level, vignetting, row gradient gain/exposure compensation (if appropriate "
"EXIF tags are found). [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. Can be one of: %(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:7
#, python-format
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: %(default)s"
"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. Can be one of: %(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:8
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:9
#, python-format
msgid ""
"Automatically crop image outputs by creating a smooth buffer around the "
"dataset boundaries, shrinked by N meters. Use 0 to disable cropping. "
"Default: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:10
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:11
#, python-format
msgid ""
"Export the georeferenced point cloud in LAS format. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:12
#, python-format
msgid ""
"Export the georeferenced point cloud in Entwine Point Tile (EPT) format. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:11
#, python-format
msgid ""
"Use this tag if you have a GCP File but want to use the EXIF information for "
"georeferencing instead. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:12
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:13
#, python-format
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). "
"Type of photometric outlier removal method. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
@ -1040,97 +1053,122 @@ msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:15
#, python-format
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. Set to 0 to disable sampling. Default: %(default)s"
msgid "Print additional messages to the console. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:16
#, python-format
msgid "Generates a benchmark file with runtime info. Default: %(default)s"
msgid ""
"URL to a ClusterODM instance for distributing a split-merge workflow on "
"multiple nodes in parallel. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:17
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:18
#, python-format
msgid ""
"Export the georeferenced point cloud in LAS format. Default: %(default)s"
msgid "Generates a benchmark file with runtime info. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:19
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:20
#, python-format
msgid "Skip the blending of colors near seams. Default: %(default)s"
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:21
#, python-format
msgid ""
"Set the compression to use for orthophotos. Can be one of: %(choices)s. "
"Default: %(default)s"
"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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:22
#, python-format
msgid ""
"Build orthophoto overviews for faster display in programs such as QGIS. "
"Default: %(default)s"
msgid "Displays version number and exits. "
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:23
#, python-format
msgid ""
"Path to the project folder. Your project folder should contain subfolders "
"for each dataset. Each dataset should have an \"images\" folder."
"Set feature extraction quality. Higher quality generates better features, "
"but requires more memory and takes longer. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:24
#, python-format
msgid "The maximum vertex count of the output mesh. Default: %(default)s"
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:25
#, python-format
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:<code> or <+proj definition>image_name geo_x geo_y geo_z [omega "
"(degrees)] [phi (degrees)] [kappa (degrees)] [horz accuracy (meters)] [vert "
"accuracy (meters)]Default: %(default)s"
"Skip generation of PDF report. This can save time if you don't need a "
"report. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:26
#, python-format
msgid ""
"Rerun this stage only and stop. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:27
#, python-format
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. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:28
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:29
#, python-format
msgid "Skip the blending of colors near seams. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:30
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:27
#, python-format
msgid ""
"Skip normalization of colors across all images. Useful when processing "
"radiometric data. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:28
#: app/static/app/js/translations/odm_autogenerated.js:31
#, python-format
msgid ""
"Generates a polygon around the cropping area that cuts the orthophoto around "
@ -1138,22 +1176,7 @@ msgid ""
"mosaics with multiple overlapping orthophotos. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:29
#, python-format
msgid ""
"The maximum number of processes to use in various processes. Peak memory "
"requirement is ~1GB per thread and 2 megapixel image resolution. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:30
#, python-format
msgid ""
"Skip generation of PDF report. This can save time if you don't need a "
"report. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:31
#: app/static/app/js/translations/odm_autogenerated.js:32
#, python-format
msgid ""
"Distance threshold in meters to find pre-matching images based on GPS exif "
@ -1161,33 +1184,23 @@ msgid ""
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:32
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:33
#, python-format
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: %(default)s"
"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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:34
#, python-format
msgid ""
"Set the radiometric calibration to perform on images. When processing "
"multispectral images you should set this option to obtain reflectance values "
"(otherwise you will get digital number values). [camera] applies black "
"level, vignetting, row gradient gain/exposure compensation (if appropriate "
"EXIF tags are found). [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. Can be one of: %(choices)s. Default: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:35
@ -1202,145 +1215,148 @@ msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:36
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:37
#, python-format
msgid ""
"Permanently delete all previous results and rerun the processing pipeline."
"Set this parameter if you want to generate a PNG rendering of the "
"orthophoto. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:38
#, python-format
msgid ""
"Octree depth used in the mesh reconstruction, increase to get more vertices, "
"recommended values are 8-12. Default: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:39
#, python-format
msgid ""
"Simple Morphological Filter elevation scalar parameter. Default: %(default)s"
msgid "show this help message and exit"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:40
#, python-format
msgid ""
"URL to a ClusterODM instance for distributing a split-merge workflow on "
"multiple nodes in parallel. Default: %(default)s"
"Simple Morphological Filter elevation scalar parameter. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:41
#, python-format
msgid ""
"Rerun this stage only and stop. Can be one of: %(choices)s. Default: "
"%(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:42
#, python-format
msgid ""
"Export the georeferenced point cloud in CSV format. Default: %(default)s"
"End processing at this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:43
#, python-format
msgid ""
"Type of photometric outlier removal method. Can be one of: %(choices)s. "
"Default: %(default)s"
"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. Set to 0 to disable sampling. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:44
#, python-format
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: "
"%(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:45
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:46
#, python-format
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: "
"%(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:47
#, python-format
msgid "Print additional messages to the console. Default: %(default)s"
msgid ""
"Permanently delete all previous results and rerun the processing pipeline."
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:48
#, python-format
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:49
#, python-format
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.Can be one of: "
"%(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:49
#, python-format
msgid ""
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:50
#, python-format
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: %(default)s"
"Path to the project folder. Your project folder should contain subfolders "
"for each dataset. Each dataset should have an \"images\" folder."
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:51
#, python-format
msgid ""
"Simple Morphological Filter elevation threshold parameter (meters). Default: "
"Simple Morphological Filter slope parameter (rise over run). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:52
#, python-format
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. Can be one of: %(choices)s. Default: "
"The maximum number of processes to use in various processes. Peak memory "
"requirement is ~1GB per thread and 2 megapixel image resolution. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:53
#, python-format
msgid ""
"Name of dataset (i.e subfolder name within project folder). Default: "
"%(default)s"
"Skip normalization of colors across all images. Useful when processing "
"radiometric data. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:54
#, python-format
msgid "Print debug messages. Default: %(default)s"
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:55
#, python-format
msgid ""
"Skip generation of a full 3D model. This can save time if you only need 2D "
"results such as orthophotos and DEMs. Default: %(default)s"
"Generate static tiles for orthophotos and DEMs that are suitable for viewers "
"like Leaflet or OpenLayers. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:56
@ -1352,112 +1368,137 @@ msgid ""
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:57
msgid "show this help message and exit"
#, python-format
msgid "Set this parameter if you want a striped GeoTIFF. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:58
#, python-format
msgid ""
"Set this parameter if you want to generate a PNG rendering of the "
"orthophoto. Default: %(default)s"
"Rerun processing from this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:59
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:60
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:61
#, python-format
msgid ""
"Set the compression to use for orthophotos. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:62
#, python-format
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:<code> or <+proj definition>image_name geo_x geo_y geo_z [omega "
"(degrees)] [phi (degrees)] [kappa (degrees)] [horz accuracy (meters)] [vert "
"accuracy (meters)]Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:63
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:64
#, python-format
msgid ""
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:60
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:61
#, python-format
msgid ""
"Set feature extraction quality. Higher quality generates better features, "
"but requires more memory and takes longer. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:62
#, python-format
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:63
#, python-format
msgid ""
"Rerun processing from this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:64
#, python-format
msgid ""
"Simple Morphological Filter slope parameter (rise over run). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:65
#, python-format
msgid "Set this parameter if you want a striped GeoTIFF. Default: %(default)s"
msgid ""
"Automatically crop image outputs by creating a smooth buffer around the "
"dataset boundaries, shrinked by N meters. Use 0 to disable cropping. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:66
#, python-format
msgid ""
"End processing at this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
"Export the georeferenced point cloud in CSV format. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:67
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:68
#, python-format
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: %(default)s"
"Simple Morphological Filter window radius parameter (meters). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:69
#, python-format
msgid ""
"Choose what to merge in the merge step in a split dataset. By default all "
"available outputs are merged. Options: %(choices)s. Default: %(default)s"
"Build orthophoto overviews for faster display in programs such as QGIS. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:70
#, python-format
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: "
"%(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:71
#, python-format
msgid ""
"Name of dataset (i.e subfolder name within project folder). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:72
#, python-format
msgid ""
"Skip generation of a full 3D model. This can save time if you only need 2D "
"results such as orthophotos and DEMs. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:73
#, python-format
msgid ""
"Octree depth used in the mesh reconstruction, increase to get more vertices, "
"recommended values are 8-12. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:74
#, python-format
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 "
@ -1466,58 +1507,34 @@ msgid ""
"areas. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:72
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:73
#, python-format
msgid ""
"Generate static tiles for orthophotos and DEMs that are suitable for viewers "
"like Leaflet or OpenLayers. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:74
msgid "Displays version number and exits. "
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:75
#, python-format
msgid ""
"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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:76
#, python-format
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: %(default)s"
"Choose what to merge in the merge step in a split dataset. By default all "
"available outputs are merged. Options: %(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:77
#, python-format
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: %(default)s"
"Simple Morphological Filter elevation threshold parameter (meters). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:78
#, python-format
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. Can be one of: %(choices)s. Default: %(default)s"
"Use this tag if you have a GCP File but want to use the EXIF information for "
"georeferencing instead. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/plugin_manifest_autogenerated.js:3

2
locale/tr/LC_MESSAGES/django.po
Wyświetl plik

@ -7,7 +7,7 @@ msgid ""
msgstr ""
"Project-Id-Version: PACKAGE VERSION\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2021-02-08 14:32+0000\n"
"POT-Creation-Date: 2021-02-25 17:42+0000\n"
"PO-Revision-Date: 2021-02-01 10:39+0000\n"
"Last-Translator: Gunduzhan Gunduz <gunduzhan@gmail.com>\n"
"Language-Team: Turkish <https://hosted.weblate.org/projects/webodm/webodm/tr/"

537
locale/tr/LC_MESSAGES/djangojs.po
Wyświetl plik

@ -7,7 +7,7 @@ msgid ""
msgstr ""
"Project-Id-Version: PACKAGE VERSION\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2021-02-08 14:32+0000\n"
"POT-Creation-Date: 2021-02-25 17:42+0000\n"
"PO-Revision-Date: 2021-02-01 10:39+0000\n"
"Last-Translator: Gunduzhan Gunduz <gunduzhan@gmail.com>\n"
"Language-Team: Turkish <https://hosted.weblate.org/projects/webodm/react-ui/"
@ -52,7 +52,7 @@ msgid "Your changes will be lost. Are you sure you want to leave?"
msgstr "Değişiklikleriniz kaybolacak. Ayrılmak istediğinizden emin misiniz?"
#: app/static/app/js/MapView.jsx:65
#: app/static/app/js/classes/PipelineSteps.js:42
#: app/static/app/js/classes/PipelineSteps.js:47
#: app/static/app/js/components/Map.jsx:82
msgid "Orthophoto"
msgstr "Ortofoto"
@ -201,22 +201,26 @@ msgid "Multi View Stereo"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:22
msgid "Meshing"
msgid "Point Filtering"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:27
msgid "Texturing"
msgid "Meshing"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:32
msgid "Georeferencing"
msgid "Texturing"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:37
msgid "Georeferencing"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:42
msgid "DEM"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:47
#: app/static/app/js/classes/PipelineSteps.js:52
msgid "Report"
msgstr ""
@ -822,6 +826,11 @@ msgid ""
"please check that all programs built without errors."
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:283
#, python-format
msgid "From %(stage)s"
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:295
msgid "Resume Processing"
msgstr ""
@ -889,6 +898,14 @@ msgstr ""
msgid "Processing Node:"
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:508
msgid "auto"
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:508
msgid "manual"
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:512
msgid "Options:"
msgstr ""
@ -958,11 +975,7 @@ msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:3
#, python-format
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: "
"%(default)s"
msgid "The maximum vertex count of the output mesh. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:4
@ -974,71 +987,71 @@ msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:5
#, python-format
msgid ""
"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: %(default)s"
msgid "Print debug messages. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:6
#, python-format
msgid ""
"Simple Morphological Filter window radius parameter (meters). Default: "
"%(default)s"
"Set the radiometric calibration to perform on images. When processing "
"multispectral images you should set this option to obtain reflectance values "
"(otherwise you will get digital number values). [camera] applies black "
"level, vignetting, row gradient gain/exposure compensation (if appropriate "
"EXIF tags are found). [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. Can be one of: %(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:7
#, python-format
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: %(default)s"
"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. Can be one of: %(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:8
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:9
#, python-format
msgid ""
"Automatically crop image outputs by creating a smooth buffer around the "
"dataset boundaries, shrinked by N meters. Use 0 to disable cropping. "
"Default: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:10
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:11
#, python-format
msgid ""
"Export the georeferenced point cloud in LAS format. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:12
#, python-format
msgid ""
"Export the georeferenced point cloud in Entwine Point Tile (EPT) format. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:11
#, python-format
msgid ""
"Use this tag if you have a GCP File but want to use the EXIF information for "
"georeferencing instead. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:12
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:13
#, python-format
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). "
"Type of photometric outlier removal method. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
@ -1051,97 +1064,122 @@ msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:15
#, python-format
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. Set to 0 to disable sampling. Default: %(default)s"
msgid "Print additional messages to the console. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:16
#, python-format
msgid "Generates a benchmark file with runtime info. Default: %(default)s"
msgid ""
"URL to a ClusterODM instance for distributing a split-merge workflow on "
"multiple nodes in parallel. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:17
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:18
#, python-format
msgid ""
"Export the georeferenced point cloud in LAS format. Default: %(default)s"
msgid "Generates a benchmark file with runtime info. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:19
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:20
#, python-format
msgid "Skip the blending of colors near seams. Default: %(default)s"
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:21
#, python-format
msgid ""
"Set the compression to use for orthophotos. Can be one of: %(choices)s. "
"Default: %(default)s"
"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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:22
#, python-format
msgid ""
"Build orthophoto overviews for faster display in programs such as QGIS. "
"Default: %(default)s"
msgid "Displays version number and exits. "
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:23
#, python-format
msgid ""
"Path to the project folder. Your project folder should contain subfolders "
"for each dataset. Each dataset should have an \"images\" folder."
"Set feature extraction quality. Higher quality generates better features, "
"but requires more memory and takes longer. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:24
#, python-format
msgid "The maximum vertex count of the output mesh. Default: %(default)s"
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:25
#, python-format
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:<code> or <+proj definition>image_name geo_x geo_y geo_z [omega "
"(degrees)] [phi (degrees)] [kappa (degrees)] [horz accuracy (meters)] [vert "
"accuracy (meters)]Default: %(default)s"
"Skip generation of PDF report. This can save time if you don't need a "
"report. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:26
#, python-format
msgid ""
"Rerun this stage only and stop. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:27
#, python-format
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. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:28
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:29
#, python-format
msgid "Skip the blending of colors near seams. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:30
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:27
#, python-format
msgid ""
"Skip normalization of colors across all images. Useful when processing "
"radiometric data. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:28
#: app/static/app/js/translations/odm_autogenerated.js:31
#, python-format
msgid ""
"Generates a polygon around the cropping area that cuts the orthophoto around "
@ -1149,22 +1187,7 @@ msgid ""
"mosaics with multiple overlapping orthophotos. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:29
#, python-format
msgid ""
"The maximum number of processes to use in various processes. Peak memory "
"requirement is ~1GB per thread and 2 megapixel image resolution. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:30
#, python-format
msgid ""
"Skip generation of PDF report. This can save time if you don't need a "
"report. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:31
#: app/static/app/js/translations/odm_autogenerated.js:32
#, python-format
msgid ""
"Distance threshold in meters to find pre-matching images based on GPS exif "
@ -1172,33 +1195,23 @@ msgid ""
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:32
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:33
#, python-format
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: %(default)s"
"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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:34
#, python-format
msgid ""
"Set the radiometric calibration to perform on images. When processing "
"multispectral images you should set this option to obtain reflectance values "
"(otherwise you will get digital number values). [camera] applies black "
"level, vignetting, row gradient gain/exposure compensation (if appropriate "
"EXIF tags are found). [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. Can be one of: %(choices)s. Default: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:35
@ -1213,145 +1226,148 @@ msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:36
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:37
#, python-format
msgid ""
"Permanently delete all previous results and rerun the processing pipeline."
"Set this parameter if you want to generate a PNG rendering of the "
"orthophoto. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:38
#, python-format
msgid ""
"Octree depth used in the mesh reconstruction, increase to get more vertices, "
"recommended values are 8-12. Default: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:39
#, python-format
msgid ""
"Simple Morphological Filter elevation scalar parameter. Default: %(default)s"
msgid "show this help message and exit"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:40
#, python-format
msgid ""
"URL to a ClusterODM instance for distributing a split-merge workflow on "
"multiple nodes in parallel. Default: %(default)s"
"Simple Morphological Filter elevation scalar parameter. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:41
#, python-format
msgid ""
"Rerun this stage only and stop. Can be one of: %(choices)s. Default: "
"%(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:42
#, python-format
msgid ""
"Export the georeferenced point cloud in CSV format. Default: %(default)s"
"End processing at this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:43
#, python-format
msgid ""
"Type of photometric outlier removal method. Can be one of: %(choices)s. "
"Default: %(default)s"
"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. Set to 0 to disable sampling. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:44
#, python-format
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: "
"%(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:45
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:46
#, python-format
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: "
"%(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:47
#, python-format
msgid "Print additional messages to the console. Default: %(default)s"
msgid ""
"Permanently delete all previous results and rerun the processing pipeline."
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:48
#, python-format
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:49
#, python-format
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.Can be one of: "
"%(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:49
#, python-format
msgid ""
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:50
#, python-format
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: %(default)s"
"Path to the project folder. Your project folder should contain subfolders "
"for each dataset. Each dataset should have an \"images\" folder."
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:51
#, python-format
msgid ""
"Simple Morphological Filter elevation threshold parameter (meters). Default: "
"Simple Morphological Filter slope parameter (rise over run). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:52
#, python-format
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. Can be one of: %(choices)s. Default: "
"The maximum number of processes to use in various processes. Peak memory "
"requirement is ~1GB per thread and 2 megapixel image resolution. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:53
#, python-format
msgid ""
"Name of dataset (i.e subfolder name within project folder). Default: "
"%(default)s"
"Skip normalization of colors across all images. Useful when processing "
"radiometric data. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:54
#, python-format
msgid "Print debug messages. Default: %(default)s"
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:55
#, python-format
msgid ""
"Skip generation of a full 3D model. This can save time if you only need 2D "
"results such as orthophotos and DEMs. Default: %(default)s"
"Generate static tiles for orthophotos and DEMs that are suitable for viewers "
"like Leaflet or OpenLayers. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:56
@ -1363,112 +1379,137 @@ msgid ""
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:57
msgid "show this help message and exit"
#, python-format
msgid "Set this parameter if you want a striped GeoTIFF. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:58
#, python-format
msgid ""
"Set this parameter if you want to generate a PNG rendering of the "
"orthophoto. Default: %(default)s"
"Rerun processing from this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:59
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:60
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:61
#, python-format
msgid ""
"Set the compression to use for orthophotos. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:62
#, python-format
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:<code> or <+proj definition>image_name geo_x geo_y geo_z [omega "
"(degrees)] [phi (degrees)] [kappa (degrees)] [horz accuracy (meters)] [vert "
"accuracy (meters)]Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:63
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:64
#, python-format
msgid ""
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:60
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:61
#, python-format
msgid ""
"Set feature extraction quality. Higher quality generates better features, "
"but requires more memory and takes longer. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:62
#, python-format
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:63
#, python-format
msgid ""
"Rerun processing from this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:64
#, python-format
msgid ""
"Simple Morphological Filter slope parameter (rise over run). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:65
#, python-format
msgid "Set this parameter if you want a striped GeoTIFF. Default: %(default)s"
msgid ""
"Automatically crop image outputs by creating a smooth buffer around the "
"dataset boundaries, shrinked by N meters. Use 0 to disable cropping. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:66
#, python-format
msgid ""
"End processing at this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
"Export the georeferenced point cloud in CSV format. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:67
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:68
#, python-format
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: %(default)s"
"Simple Morphological Filter window radius parameter (meters). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:69
#, python-format
msgid ""
"Choose what to merge in the merge step in a split dataset. By default all "
"available outputs are merged. Options: %(choices)s. Default: %(default)s"
"Build orthophoto overviews for faster display in programs such as QGIS. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:70
#, python-format
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: "
"%(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:71
#, python-format
msgid ""
"Name of dataset (i.e subfolder name within project folder). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:72
#, python-format
msgid ""
"Skip generation of a full 3D model. This can save time if you only need 2D "
"results such as orthophotos and DEMs. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:73
#, python-format
msgid ""
"Octree depth used in the mesh reconstruction, increase to get more vertices, "
"recommended values are 8-12. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:74
#, python-format
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 "
@ -1477,58 +1518,34 @@ msgid ""
"areas. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:72
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:73
#, python-format
msgid ""
"Generate static tiles for orthophotos and DEMs that are suitable for viewers "
"like Leaflet or OpenLayers. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:74
msgid "Displays version number and exits. "
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:75
#, python-format
msgid ""
"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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:76
#, python-format
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: %(default)s"
"Choose what to merge in the merge step in a split dataset. By default all "
"available outputs are merged. Options: %(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:77
#, python-format
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: %(default)s"
"Simple Morphological Filter elevation threshold parameter (meters). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:78
#, python-format
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. Can be one of: %(choices)s. Default: %(default)s"
"Use this tag if you have a GCP File but want to use the EXIF information for "
"georeferencing instead. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/plugin_manifest_autogenerated.js:3

2
locale/zh_Hant/LC_MESSAGES/django.po
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@ -7,7 +7,7 @@ msgid ""
msgstr ""
"Project-Id-Version: PACKAGE VERSION\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2021-02-08 14:32+0000\n"
"POT-Creation-Date: 2021-02-25 17:42+0000\n"
"PO-Revision-Date: 2021-01-02 05:00+0000\n"
"Last-Translator: Yu-Huang Wang <yuhuangwang@gmail.com>\n"
"Language-Team: Chinese (Traditional) <https://hosted.weblate.org/projects/"

573
locale/zh_Hant/LC_MESSAGES/djangojs.po
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@ -7,9 +7,9 @@ msgid ""
msgstr ""
"Project-Id-Version: PACKAGE VERSION\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2021-02-08 14:32+0000\n"
"PO-Revision-Date: 2021-01-23 00:41+0000\n"
"Last-Translator: Gideon Stowell <soccerman.gid@gmail.com>\n"
"POT-Creation-Date: 2021-02-25 17:42+0000\n"
"PO-Revision-Date: 2021-02-11 02:50+0000\n"
"Last-Translator: Yu-Huang Wang <yuhuangwang@gmail.com>\n"
"Language-Team: Chinese (Traditional) <https://hosted.weblate.org/projects/"
"webodm/react-ui/zh_Hant/>\n"
"Language: zh_Hant\n"
@ -50,7 +50,7 @@ msgid "Your changes will be lost. Are you sure you want to leave?"
msgstr "修改將遺失。 確定要離開嗎？"
#: app/static/app/js/MapView.jsx:65
#: app/static/app/js/classes/PipelineSteps.js:42
#: app/static/app/js/classes/PipelineSteps.js:47
#: app/static/app/js/components/Map.jsx:82
msgid "Orthophoto"
msgstr "正射影像"
@ -146,10 +146,8 @@ msgid "Camera Shots (GeoJSON)"
msgstr "拍攝影像"
#: app/static/app/js/classes/AssetDownloads.js:51
#, fuzzy
#| msgid "Report"
msgid "Quality Report"
msgstr "報告"
msgstr "品質報告"
#: app/static/app/js/classes/AssetDownloads.js:55
msgid "All Assets"
@ -203,22 +201,26 @@ msgid "Multi View Stereo"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:22
msgid "Point Filtering"
msgstr ""
#: app/static/app/js/classes/PipelineSteps.js:27
msgid "Meshing"
msgstr "網格化"
#: app/static/app/js/classes/PipelineSteps.js:27
#: app/static/app/js/classes/PipelineSteps.js:32
msgid "Texturing"
msgstr "紋理化"
#: app/static/app/js/classes/PipelineSteps.js:32
#: app/static/app/js/classes/PipelineSteps.js:37
msgid "Georeferencing"
msgstr "地理座標定位"
#: app/static/app/js/classes/PipelineSteps.js:37
#: app/static/app/js/classes/PipelineSteps.js:42
msgid "DEM"
msgstr "DEM"
#: app/static/app/js/classes/PipelineSteps.js:47
#: app/static/app/js/classes/PipelineSteps.js:52
msgid "Report"
msgstr "報告"
@ -826,6 +828,11 @@ msgstr ""
"處理節點缺少完成任務所需的程式。 這可能是安裝已損壞。 如果你自行編譯"
"OpenDroneMap，請檢查所有編譯的程式都沒有錯誤。"
#: app/static/app/js/components/TaskListItem.jsx:283
#, python-format
msgid "From %(stage)s"
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:295
msgid "Resume Processing"
msgstr "恢復處理"
@ -893,6 +900,14 @@ msgstr "建立時間："
msgid "Processing Node:"
msgstr "處理節點："
#: app/static/app/js/components/TaskListItem.jsx:508
msgid "auto"
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:508
msgid "manual"
msgstr ""
#: app/static/app/js/components/TaskListItem.jsx:512
msgid "Options:"
msgstr "選項："
@ -971,12 +986,8 @@ msgstr "已成功上傳%(count)s檔案"
#: app/static/app/js/translations/odm_autogenerated.js:3
#, python-format
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: "
"%(default)s"
msgstr ""
msgid "The maximum vertex count of the output mesh. Default: %(default)s"
msgstr "輸出網孔的最多頂點算。預設值： %(default)s"
#: app/static/app/js/translations/odm_autogenerated.js:4
#, python-format
@ -987,71 +998,71 @@ msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:5
#, python-format
msgid ""
"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: %(default)s"
msgstr ""
msgid "Print debug messages. Default: %(default)s"
msgstr "印出調試的信息。預設值：%(default)s"
#: app/static/app/js/translations/odm_autogenerated.js:6
#, python-format
msgid ""
"Simple Morphological Filter window radius parameter (meters). Default: "
"%(default)s"
msgstr "簡單形態過濾器窗口半徑參數(公尺)。 預設值：%(default)s"
"Set the radiometric calibration to perform on images. When processing "
"multispectral images you should set this option to obtain reflectance values "
"(otherwise you will get digital number values). [camera] applies black "
"level, vignetting, row gradient gain/exposure compensation (if appropriate "
"EXIF tags are found). [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. Can be one of: %(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:7
#, python-format
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: %(default)s"
"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. Can be one of: %(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:8
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:9
#, python-format
msgid ""
"Automatically crop image outputs by creating a smooth buffer around the "
"dataset boundaries, shrinked by N meters. Use 0 to disable cropping. "
"Default: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:10
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:11
#, python-format
msgid ""
"Export the georeferenced point cloud in LAS format. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:12
#, python-format
msgid ""
"Export the georeferenced point cloud in Entwine Point Tile (EPT) format. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:11
#, python-format
msgid ""
"Use this tag if you have a GCP File but want to use the EXIF information for "
"georeferencing instead. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:12
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:13
#, python-format
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). "
"Type of photometric outlier removal method. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
@ -1064,97 +1075,125 @@ msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:15
#, python-format
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. Set to 0 to disable sampling. Default: %(default)s"
msgid "Print additional messages to the console. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:16
#, python-format
msgid "Generates a benchmark file with runtime info. Default: %(default)s"
msgid ""
"URL to a ClusterODM instance for distributing a split-merge workflow on "
"multiple nodes in parallel. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:17
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:18
#, python-format
msgid ""
"Export the georeferenced point cloud in LAS format. Default: %(default)s"
msgid "Generates a benchmark file with runtime info. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:19
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:20
#, python-format
msgid "Skip the blending of colors near seams. Default: %(default)s"
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:21
#, python-format
msgid ""
"Set the compression to use for orthophotos. Can be one of: %(choices)s. "
"Default: %(default)s"
"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: "
"%(default)s"
msgstr ""
"忽略地面取樣距離(GSD)。 GSD限制輸出影像的最大解析度，並在必要時調整影像大小，"
"從而加快處理速度並降低記憶體用量。 由於GSD是估計值，有時忽略它可以產生稍好的"
"影像輸出品質。預設值：%(default)s"
#: app/static/app/js/translations/odm_autogenerated.js:22
#, python-format
msgid ""
"Build orthophoto overviews for faster display in programs such as QGIS. "
"Default: %(default)s"
msgid "Displays version number and exits. "
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:23
#, python-format
msgid ""
"Path to the project folder. Your project folder should contain subfolders "
"for each dataset. Each dataset should have an \"images\" folder."
"Set feature extraction quality. Higher quality generates better features, "
"but requires more memory and takes longer. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:24
#, python-format
msgid "The maximum vertex count of the output mesh. Default: %(default)s"
msgstr "輸出網孔的最多頂點算。預設值： %(default)s"
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:25
#, python-format
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:<code> or <+proj definition>image_name geo_x geo_y geo_z [omega "
"(degrees)] [phi (degrees)] [kappa (degrees)] [horz accuracy (meters)] [vert "
"accuracy (meters)]Default: %(default)s"
"Skip generation of PDF report. This can save time if you don't need a "
"report. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:26
#, python-format
msgid ""
"Rerun this stage only and stop. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr "重運行這階段後停止. 選擇是:%(choices)s. 預設值:%(default)s"
#: app/static/app/js/translations/odm_autogenerated.js:27
#, python-format
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. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:28
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:29
#, python-format
msgid "Skip the blending of colors near seams. Default: %(default)s"
msgstr "略過縫合線附近的混色。 預設： %(default)s"
#: app/static/app/js/translations/odm_autogenerated.js:30
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:27
#, python-format
msgid ""
"Skip normalization of colors across all images. Useful when processing "
"radiometric data. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:28
#: app/static/app/js/translations/odm_autogenerated.js:31
#, python-format
msgid ""
"Generates a polygon around the cropping area that cuts the orthophoto around "
@ -1162,22 +1201,7 @@ msgid ""
"mosaics with multiple overlapping orthophotos. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:29
#, python-format
msgid ""
"The maximum number of processes to use in various processes. Peak memory "
"requirement is ~1GB per thread and 2 megapixel image resolution. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:30
#, python-format
msgid ""
"Skip generation of PDF report. This can save time if you don't need a "
"report. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:31
#: app/static/app/js/translations/odm_autogenerated.js:32
#, python-format
msgid ""
"Distance threshold in meters to find pre-matching images based on GPS exif "
@ -1185,33 +1209,23 @@ msgid ""
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:32
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:33
#, python-format
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: %(default)s"
"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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:34
#, python-format
msgid ""
"Set the radiometric calibration to perform on images. When processing "
"multispectral images you should set this option to obtain reflectance values "
"(otherwise you will get digital number values). [camera] applies black "
"level, vignetting, row gradient gain/exposure compensation (if appropriate "
"EXIF tags are found). [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. Can be one of: %(choices)s. Default: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:35
@ -1226,145 +1240,148 @@ msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:36
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:37
#, python-format
msgid ""
"Permanently delete all previous results and rerun the processing pipeline."
"Set this parameter if you want to generate a PNG rendering of the "
"orthophoto. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:38
#, python-format
msgid ""
"Octree depth used in the mesh reconstruction, increase to get more vertices, "
"recommended values are 8-12. Default: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:39
#, python-format
msgid ""
"Simple Morphological Filter elevation scalar parameter. Default: %(default)s"
msgid "show this help message and exit"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:40
#, python-format
msgid ""
"URL to a ClusterODM instance for distributing a split-merge workflow on "
"multiple nodes in parallel. Default: %(default)s"
"Simple Morphological Filter elevation scalar parameter. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:41
#, python-format
msgid ""
"Rerun this stage only and stop. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr "重運行這階段後停止. 選擇是:%(choices)s. 預設值:%(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:42
#, python-format
msgid ""
"Export the georeferenced point cloud in CSV format. Default: %(default)s"
"End processing at this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:43
#, python-format
msgid ""
"Type of photometric outlier removal method. Can be one of: %(choices)s. "
"Default: %(default)s"
"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. Set to 0 to disable sampling. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:44
#, python-format
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: "
"%(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:45
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:46
#, python-format
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: "
"%(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:47
#, python-format
msgid "Print additional messages to the console. Default: %(default)s"
msgid ""
"Permanently delete all previous results and rerun the processing pipeline."
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:48
#, python-format
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:49
#, python-format
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.Can be one of: "
"%(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:49
#, python-format
msgid ""
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:50
#, python-format
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: %(default)s"
"Path to the project folder. Your project folder should contain subfolders "
"for each dataset. Each dataset should have an \"images\" folder."
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:51
#, python-format
msgid ""
"Simple Morphological Filter elevation threshold parameter (meters). Default: "
"Simple Morphological Filter slope parameter (rise over run). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:52
#, python-format
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. Can be one of: %(choices)s. Default: "
"The maximum number of processes to use in various processes. Peak memory "
"requirement is ~1GB per thread and 2 megapixel image resolution. Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:53
#, python-format
msgid ""
"Name of dataset (i.e subfolder name within project folder). Default: "
"%(default)s"
msgstr "數據集的名字 （比如，項目文件夾的子文件夾）預設值：%(default)s"
"Skip normalization of colors across all images. Useful when processing "
"radiometric data. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:54
#, python-format
msgid "Print debug messages. Default: %(default)s"
msgstr "印出調試的信息。預設值：%(default)s"
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:55
#, python-format
msgid ""
"Skip generation of a full 3D model. This can save time if you only need 2D "
"results such as orthophotos and DEMs. Default: %(default)s"
"Generate static tiles for orthophotos and DEMs that are suitable for viewers "
"like Leaflet or OpenLayers. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:56
@ -1376,115 +1393,139 @@ msgid ""
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:57
msgid "show this help message and exit"
#, python-format
msgid "Set this parameter if you want a striped GeoTIFF. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:58
#, python-format
msgid ""
"Set this parameter if you want to generate a PNG rendering of the "
"orthophoto. Default: %(default)s"
msgstr ""
"Rerun processing from this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr "從這階段重運行. 選擇是:%(choices)s. 預設值: %(default)s"
#: app/static/app/js/translations/odm_autogenerated.js:59
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:60
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:61
#, python-format
msgid ""
"Set the compression to use for orthophotos. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:62
#, python-format
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:<code> or <+proj definition>image_name geo_x geo_y geo_z [omega "
"(degrees)] [phi (degrees)] [kappa (degrees)] [horz accuracy (meters)] [vert "
"accuracy (meters)]Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:63
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:64
#, python-format
msgid ""
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:60
#, python-format
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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:61
#, python-format
msgid ""
"Set feature extraction quality. Higher quality generates better features, "
"but requires more memory and takes longer. Can be one of: %(choices)s. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:62
#, python-format
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: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:63
#, python-format
msgid ""
"Rerun processing from this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
msgstr "從這階段重運行. 選擇是:%(choices)s. 預設值: %(default)s"
#: app/static/app/js/translations/odm_autogenerated.js:64
#, python-format
msgid ""
"Simple Morphological Filter slope parameter (rise over run). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:65
#, python-format
msgid "Set this parameter if you want a striped GeoTIFF. Default: %(default)s"
msgid ""
"Automatically crop image outputs by creating a smooth buffer around the "
"dataset boundaries, shrinked by N meters. Use 0 to disable cropping. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:66
#, python-format
msgid ""
"End processing at this stage. Can be one of: %(choices)s. Default: "
"%(default)s"
"Export the georeferenced point cloud in CSV format. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:67
#, python-format
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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:68
#, python-format
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: %(default)s"
msgstr ""
"Simple Morphological Filter window radius parameter (meters). Default: "
"%(default)s"
msgstr "簡單形態過濾器窗口半徑參數(公尺)。 預設值：%(default)s"
#: app/static/app/js/translations/odm_autogenerated.js:69
#, python-format
msgid ""
"Choose what to merge in the merge step in a split dataset. By default all "
"available outputs are merged. Options: %(choices)s. Default: %(default)s"
"Build orthophoto overviews for faster display in programs such as QGIS. "
"Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:70
#, python-format
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: "
"%(default)s"
"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: %(default)s"
msgstr ""
"忽略地面取樣距離(GSD)。 GSD限制輸出影像的最大解析度，並在必要時調整影像大小，"
"從而加快處理速度並降低記憶體用量。 由於GSD是估計值，有時忽略它可以產生稍好的"
"影像輸出品質。預設值：%(default)s"
"舊的選項(改用 use--pc-quality)。 可經由設定景深圖影像的解析度來控制點雲的密"
"度。 數值高所需的計算時間會更長，但會產生更密集的點雲。預設值：%(default)s"
#: app/static/app/js/translations/odm_autogenerated.js:71
#, python-format
msgid ""
"Name of dataset (i.e subfolder name within project folder). Default: "
"%(default)s"
msgstr "數據集的名字 （比如，項目文件夾的子文件夾）預設值：%(default)s"
#: app/static/app/js/translations/odm_autogenerated.js:72
#, python-format
msgid ""
"Skip generation of a full 3D model. This can save time if you only need 2D "
"results such as orthophotos and DEMs. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:73
#, python-format
msgid ""
"Octree depth used in the mesh reconstruction, increase to get more vertices, "
"recommended values are 8-12. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:74
#, python-format
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 "
@ -1493,60 +1534,34 @@ msgid ""
"areas. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:72
#, python-format
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: %(default)s"
msgstr ""
"舊的選項(改用 use--pc-quality)。 可經由設定景深圖影像的解析度來控制點雲的密"
"度。 數值高所需的計算時間會更長，但會產生更密集的點雲。預設值：%(default)s"
#: app/static/app/js/translations/odm_autogenerated.js:73
#, python-format
msgid ""
"Generate static tiles for orthophotos and DEMs that are suitable for viewers "
"like Leaflet or OpenLayers. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:74
msgid "Displays version number and exits. "
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:75
#, python-format
msgid ""
"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: %(default)s"
"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: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:76
#, python-format
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: %(default)s"
"Choose what to merge in the merge step in a split dataset. By default all "
"available outputs are merged. Options: %(choices)s. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:77
#, python-format
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: %(default)s"
"Simple Morphological Filter elevation threshold parameter (meters). Default: "
"%(default)s"
msgstr ""
#: app/static/app/js/translations/odm_autogenerated.js:78
#, python-format
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. Can be one of: %(choices)s. Default: %(default)s"
"Use this tag if you have a GCP File but want to use the EXIF information for "
"georeferencing instead. Default: %(default)s"
msgstr ""
#: app/static/app/js/translations/plugin_manifest_autogenerated.js:3