kopia lustrzana https://github.com/OpenDroneMap/ODM
Populate settings.yaml file with all params
Dakota Benjamin
rodzic
e37e10405b
commit
bf2069a169
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@ -156,6 +156,11 @@ To pass in custom parameters to the run.py script, simply pass it as arguments t
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docker run -it --rm -v $(pwd)/images:/code/images v $(pwd)/odm_orthophoto:/code/odm_orthophoto -v $(pwd)/odm_texturing:/code/odm_texturing opendronemap/opendronemap --resize-to 1800 --force-ccd 6.16
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If you want to pass in custom parameters using the settings.yaml file, you can pass it as a -v volume binding:
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docker run -it --rm -v $(pwd)/images:/code/images v $(pwd)/odm_orthophoto:/code/odm_orthophoto -v $(pwd)/odm_texturing:/code/odm_texturing -v $(pwd)/settings.yaml:/code/settings.yaml opendronemap/opendronemap
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## User Interface
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A web interface and API to OpenDroneMap is currently under active development in the [WebODM](https://github.com/OpenDroneMap/WebODM) repository.
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@ -1,8 +1,53 @@
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---
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# A list of global configuration variables
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# WARNING: DO NOT EDIT THIS FILE!!!
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# Copy this file and rename to settings.yaml to override. You can also place the a settings.yaml
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# file with the same format inside your project to more specific parameter needs.
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# Note this only works for settings with default values. Some commands like --rerun <module>
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# or --force-ccd n will have to be set in the command line (if you need to)
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settings:
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# These are really important to set up properly
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project_path: '/home/dmb2/ODMProjects'
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use_pmvs: False
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opensfm_processes: 4 # Set this to nproc-2 for large datasets
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resize_to: 2400
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start_with: 'resize'
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end_with: 'odm_orthophoto'
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rerun_all: False
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zip_results: False
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verbose: False
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time: False
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opensfm:
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processes: 4 # IMPORTANT: Set this to nproc-1 or lower for larger datasets
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min_num_features: 4000
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matcher_threshold: 2.0
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matcher_ratio: 0.6
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matcher_neighbors: 8
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matcher_distance: 0
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pmvs: # The following settings only matter if use_pmvs is set to True
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enabled: False
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cmvs_max_images: 500
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level: 1
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cell_size: 2
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threshold: 0.7
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wsize: 7
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min_images: 3
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num_cores: 4 # Set this to nproc
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mesh:
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size: 100000
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octree_depth: 9
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samples: 1.0
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solver_divide: 9
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texturing:
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data_term: 'gmi'
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outlier_removal_type: 'gauss_clamping'
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skip_visibility_test: False
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skip_global_seam_leveling: False
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skip_local_seam_leveling: False
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skip_hole_filling: False
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keep_unseen_faces: False
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tone_mapping: 'none'
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georeferencing:
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gcp: !!null # YAML tag for None
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use_exif: False # Set to True if you have a GCP file (it auto-detects) and want to use EXIF
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orthophoto:
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resolution: 20.0 # Pixels/meter
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@ -1,8 +1,53 @@
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---
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# A list of global configuration variables
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# WARNING: DO NOT EDIT THIS FILE!!!
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# Copy this file and rename to settings.yaml to override. You can also place the a settings.yaml
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# file with the same format inside your project to more specific parameter needs.
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# Note this only works for settings with default values. Some commands like --rerun <module>
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# or --force-ccd n will have to be set in the command line (if you need to)
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settings:
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project_path: '/'
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use_pmvs: False
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opensfm_processes: 4 # Set this to nproc-2 for large datasets
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# These are really important to set up properly
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project_path: '/' # DO NOT CHANGE THIS
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resize_to: 2400
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start_with: 'resize'
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end_with: 'odm_orthophoto'
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rerun_all: False
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zip_results: False
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verbose: False
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time: False
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opensfm:
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processes: 4 # IMPORTANT: Set this to nproc-1 or lower for larger datasets
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min_num_features: 4000
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matcher_threshold: 2.0
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matcher_ratio: 0.6
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matcher_neighbors: 8
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matcher_distance: 0
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pmvs: # The following settings only matter if use_pmvs is set to True
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enabled: False
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cmvs_max_images: 500
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level: 1
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cell_size: 2
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threshold: 0.7
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wsize: 7
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min_images: 3
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num_cores: 4 # Set this to nproc
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mesh:
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size: 100000
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octree_depth: 9
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samples: 1.0
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solver_divide: 9
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texturing:
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data_term: 'gmi'
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outlier_removal_type: 'gauss_clamping'
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skip_visibility_test: False
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skip_global_seam_leveling: False
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skip_local_seam_leveling: False
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skip_hole_filling: False
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keep_unseen_faces: False
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tone_mapping: 'none'
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georeferencing:
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gcp: !!null # YAML tag for None
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use_exif: False # Set to True if you have a GCP file (it auto-detects) and want to use EXIF
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orthophoto:
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resolution: 20.0 # Pixels/meter
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@ -46,19 +46,19 @@ def config():
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parser.add_argument('--resize-to', # currently doesn't support 'orig'
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metavar='<integer>',
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default=2400,
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default=defaultSettings['resize_to'],
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type=int,
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help='resizes images by the largest side')
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parser.add_argument('--start-with', '-s',
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metavar='<string>',
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default='resize',
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default=defaultSettings['start_with'],
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choices=processopts,
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help=('Can be one of: ' + ' | '.join(processopts)))
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parser.add_argument('--end-with', '-e',
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metavar='<string>',
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default='odm_orthophoto',
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default=defaultSettings['end_with'],
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choices=processopts,
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help=('Can be one of:' + ' | '.join(processopts)))
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@ -71,7 +71,7 @@ def config():
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rerun.add_argument('--rerun-all',
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action='store_true',
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default=False,
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default=defaultSettings['rerun_all'],
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help='force rerun of all tasks')
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rerun.add_argument('--rerun-from',
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@ -101,7 +101,7 @@ def config():
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parser.add_argument('--min-num-features',
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metavar='<integer>',
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default=4000,
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default=defaultSettings['opensfm']['min_num_features'],
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type=int,
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help=('Minimum number of features to extract per image. '
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'More features leads to better results but slower '
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@ -109,7 +109,7 @@ def config():
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parser.add_argument('--matcher-threshold',
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metavar='<percent>',
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default=2.0,
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default=defaultSettings['opensfm']['matcher_threshold'],
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type=float,
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help=('Ignore matched keypoints if the two images share '
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'less than <float> percent of keypoints. Default:'
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@ -117,7 +117,7 @@ def config():
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parser.add_argument('--matcher-ratio',
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metavar='<float>',
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default=0.6,
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default=defaultSettings['opensfm']['matcher_ratio'],
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type=float,
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help=('Ratio of the distance to the next best matched '
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'keypoint. Default: %(default)s'))
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@ -125,7 +125,7 @@ def config():
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parser.add_argument('--matcher-neighbors',
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type=int,
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metavar='<integer>',
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default=8,
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default=defaultSettings['opensfm']['matcher_neighbors'],
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help='Number of nearest images to pre-match based on GPS '
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'exif data. Set to 0 to skip pre-matching. '
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'Neighbors works together with Distance parameter, '
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@ -136,7 +136,7 @@ def config():
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parser.add_argument('--matcher-distance',
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metavar='<integer>',
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default=0,
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default=defaultSettings['opensfm']['matcher_distance'],
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type=int,
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help='Distance threshold in meters to find pre-matching '
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'images based on GPS exif data. Set to 0 to skip '
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@ -144,26 +144,26 @@ def config():
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parser.add_argument('--opensfm-processes',
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metavar='<positive integer>',
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default=defaultSettings['opensfm_processes'],
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default=defaultSettings['opensfm']['processes'],
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type=int,
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help=('The maximum number of processes to use in dense '
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'reconstruction. Default: %(default)s'))
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parser.add_argument('--use-pmvs',
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action='store_true',
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default=defaultSettings['use_pmvs'],
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default=defaultSettings['pmvs']['enabled'],
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help='Use pmvs to compute point cloud alternatively')
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parser.add_argument('--cmvs-maxImages',
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metavar='<integer>',
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default=500,
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default=defaultSettings['pmvs']['cmvs_max_images'],
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type=int,
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help='The maximum number of images per cluster. '
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'Default: %(default)s')
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parser.add_argument('--pmvs-level',
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metavar='<positive integer>',
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default=1,
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default=defaultSettings['pmvs']['level'],
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type=int,
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help=('The level in the image pyramid that is used '
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'for the computation. see '
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@ -171,15 +171,15 @@ def config():
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'more pmvs documentation. Default: %(default)s'))
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parser.add_argument('--pmvs-csize',
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metavar='< positive integer>',
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default=2,
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metavar='<positive integer>',
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default=defaultSettings['pmvs']['cell_size'],
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type=int,
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help='Cell size controls the density of reconstructions'
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'Default: %(default)s')
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parser.add_argument('--pmvs-threshold',
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metavar='<float: -1.0 <= x <= 1.0>',
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default=0.7,
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default=defaultSettings['pmvs']['threshold'],
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type=float,
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help=('A patch reconstruction is accepted as a success '
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'and kept if its associated photometric consistency '
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@ -187,7 +187,7 @@ def config():
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parser.add_argument('--pmvs-wsize',
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metavar='<positive integer>',
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default=7,
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default=defaultSettings['pmvs']['wsize'],
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type=int,
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help='pmvs samples wsize x wsize pixel colors from '
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'each image to compute photometric consistency '
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@ -198,7 +198,7 @@ def config():
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parser.add_argument('--pmvs-min-images',
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metavar='<positive integer>',
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default=3,
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default=defaultSettings['pmvs']['min_images'],
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type=int,
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help=('Each 3D point must be visible in at least '
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'minImageNum images for being reconstructed. 3 is '
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@ -206,21 +206,21 @@ def config():
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parser.add_argument('--pmvs-num-cores',
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metavar='<positive integer>',
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default=context.num_cores,
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default=defaultSettings['pmvs']['num_cores'],
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type=int,
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help=('The maximum number of cores to use in dense '
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'reconstruction. Default: %(default)s'))
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parser.add_argument('--mesh-size',
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metavar='<positive integer>',
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default=100000,
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default=defaultSettings['mesh']['size'],
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type=int,
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help=('The maximum vertex count of the output mesh '
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'Default: %(default)s'))
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parser.add_argument('--mesh-octree-depth',
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metavar='<positive integer>',
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default=9,
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default=defaultSettings['mesh']['octree_depth'],
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type=int,
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help=('Oct-tree depth used in the mesh reconstruction, '
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'increase to get more vertices, recommended '
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@ -228,14 +228,14 @@ def config():
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parser.add_argument('--mesh-samples',
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metavar='<float >= 1.0>',
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default=1.0,
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default=defaultSettings['mesh']['samples'],
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type=float,
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help=('Number of points per octree node, recommended '
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'and default value: %(default)s'))
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parser.add_argument('--mesh-solver-divide',
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metavar='<positive integer>',
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default=9,
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default=defaultSettings['mesh']['solver_divide'],
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type=int,
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help=('Oct-tree depth at which the Laplacian equation '
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'is solved in the surface reconstruction step. '
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@ -245,57 +245,57 @@ def config():
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parser.add_argument('--texturing-data-term',
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metavar='<string>',
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default='gmi',
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default=defaultSettings['texturing']['data_term'],
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help=('Data term: [area, gmi]. Default: '
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'%(default)s'))
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parser.add_argument('--texturing-outlier-removal-type',
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metavar='<string>',
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default='gauss_clamping',
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default=defaultSettings['texturing']['outlier_removal_type'],
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help=('Type of photometric outlier removal method: '
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'[none, gauss_damping, gauss_clamping]. Default: '
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'%(default)s'))
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parser.add_argument('--texturing-skip-visibility-test',
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action='store_true',
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default=False,
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default=defaultSettings['texturing']['skip_visibility_test'],
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help=('Skip geometric visibility test. Default: '
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' %(default)s'))
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parser.add_argument('--texturing-skip-global-seam-leveling',
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action='store_true',
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default=False,
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default=defaultSettings['texturing']['skip_global_seam_leveling'],
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help=('Skip global seam leveling. Useful for IR data.'
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'Default: %(default)s'))
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parser.add_argument('--texturing-skip-local-seam-leveling',
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action='store_true',
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default=False,
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default=defaultSettings['texturing']['skip_local_seam_leveling'],
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help='Skip local seam blending. Default: %(default)s')
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parser.add_argument('--texturing-skip-hole-filling',
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action='store_true',
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default=False,
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default=defaultSettings['texturing']['skip_hole_filling'],
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help=('Skip filling of holes in the mesh. Default: '
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' %(default)s'))
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parser.add_argument('--texturing-keep-unseen-faces',
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action='store_true',
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default=False,
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default=defaultSettings['texturing']['keep_unseen_faces'],
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help=('Keep faces in the mesh that are not seen in any camera. '
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'Default: %(default)s'))
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parser.add_argument('--texturing-tone-mapping',
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metavar='<string>',
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choices=['none', 'gamma'],
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default='none',
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default=defaultSettings['texturing']['tone_mapping'],
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help='Turn on gamma tone mapping or none for no tone '
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'mapping. Choices are \'gamma\' or \'none\'. '
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'Default: %(default)s ')
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parser.add_argument('--gcp',
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metavar='<path string>',
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default=None,
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default=defaultSettings['georeferencing']['gcp'],
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help=('path to the file containing the ground control '
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'points used for georeferencing. Default: '
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'%(default)s. The file needs to '
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@ -304,32 +304,34 @@ def config():
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parser.add_argument('--use-exif',
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action='store_true',
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default=False,
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default=defaultSettings['georeferencing']['use_exif'],
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help=('Use this tag if you have a gcp_list.txt but '
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'want to use the exif geotags instead'))
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parser.add_argument('--orthophoto-resolution',
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metavar='<float > 0.0>',
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default=20.0,
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default=defaultSettings['orthophoto']['resolution'],
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type=float,
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help=('Orthophoto ground resolution in pixels/meter'
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'Default: %(default)s'))
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parser.add_argument('--zip-results',
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action='store_true',
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default=False,
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default=defaultSettings['zip_results'],
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help='compress the results using gunzip')
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parser.add_argument('--verbose', '-v',
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action='store_true',
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default=False,
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default=defaultSettings['verbose'],
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help='Print additional messages to the console\n'
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'Default: %(default)s')
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parser.add_argument('--time',
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action='store_true',
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default=False,
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default=defaultSettings['time'],
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help='Generates a benchmark file with runtime info\n'
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'Default: %(default)s')
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#TODO: Add version, gdal options
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return parser.parse_args()
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