kopia lustrzana https://github.com/OpenDroneMap/ODM
146 wiersze
7.0 KiB
Python
146 wiersze
7.0 KiB
Python
import ecto
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import os
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from opendm import context
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from opendm import types
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from opendm import config
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from opendm import io
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from opendm import system
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from dataset import ODMLoadDatasetCell
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from resize import ODMResizeCell
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from opensfm import ODMOpenSfMCell
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from pmvs import ODMPmvsCell
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from cmvs import ODMCmvsCell
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from odm_meshing import ODMeshingCell
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#from odm_texturing import ODMTexturingCell
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from mvstex import ODMMvsTexCell
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from odm_georeferencing import ODMGeoreferencingCell
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from odm_orthophoto import ODMOrthoPhotoCell
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class ODMApp(ecto.BlackBox):
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"""ODMApp - a class for ODM Activities
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"""
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def __init__(self, *args, **kwargs):
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ecto.BlackBox.__init__(self, *args, **kwargs)
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self.tree = None
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@staticmethod
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def declare_direct_params(p):
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p.declare("args", "The application arguments.", {})
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@staticmethod
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def declare_cells(p):
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"""
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Implement the virtual function from the base class
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Only cells from which something is forwarded have to be declared
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"""
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cells = {'args': ecto.Constant(value=p.args),
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'dataset': ODMLoadDatasetCell(force_focal=p.args['force_focal'],
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force_ccd=p.args['force_ccd']),
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'resize': ODMResizeCell(resize_to=p.args['resize_to']),
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'opensfm': ODMOpenSfMCell(use_exif_size=False,
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feature_process_size=p.args['resize_to'],
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feature_min_frames=p.args['min_num_features'],
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processes=context.num_cores,
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matching_gps_neighbors=p.args['matcher_neighbors'],
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matching_gps_distance=p.args['matcher_distance']),
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'cmvs': ODMCmvsCell(max_images=p.args['cmvs_maxImages']),
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'pmvs': ODMPmvsCell(level=p.args['pmvs_level'],
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csize=p.args['pmvs_csize'],
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thresh=p.args['pmvs_threshold'],
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wsize=p.args['pmvs_wsize'],
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min_imgs=p.args['pmvs_minImageNum'],
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cores=p.args['pmvs_num_cores']),
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'meshing': ODMeshingCell(max_vertex=p.args['odm_meshing_maxVertexCount'],
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oct_tree=p.args['odm_meshing_octreeDepth'],
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samples=p.args['odm_meshing_samplesPerNode'],
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solver=p.args['odm_meshing_solverDivide']),
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'texturing': ODMMvsTexCell(data_term=p.args['mvs_texturing_dataTerm'],
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outlier_rem_type=p.args['mvs_texturing_outlierRemovalType'],
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skip_vis_test=p.args['mvs_texturing_skipGeometricVisibilityTest'],
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skip_glob_seam_leveling=p.args['mvs_texturing_skipGlobalSeamLeveling'],
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skip_loc_seam_leveling=p.args['mvs_texturing_skipLocalSeamLeveling'],
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skip_hole_fill=p.args['mvs_texturing_skipHoleFilling'],
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keep_unseen_faces=p.args['mvs_texturing_keepUnseenFaces']),
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# Old odm_texturing
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# 'texturing': ODMTexturingCell(resize=p.args['resize_to'],
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# resolution=p.args['odm_texturing_textureResolution'],
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# size=p.args['odm_texturing_textureWithSize']),
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'georeferencing': ODMGeoreferencingCell(img_size=p.args['resize_to'],
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gcp_file=p.args['odm_georeferencing_gcpFile'],
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use_gcp=p.args['odm_georeferencing_useGcp']),
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'orthophoto': ODMOrthoPhotoCell(resolution=p.args['odm_orthophoto_resolution'])
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}
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return cells
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def configure(self, p, _i, _o):
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tree = types.ODM_Tree(p.args['project_path'])
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self.tree = ecto.Constant(value=tree)
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# TODO(dakota) put this somewhere better maybe
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if config.args.get('time') and io.file_exists(tree.benchmarking):
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# Delete the previously made file
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os.remove(tree.benchmarking)
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with open(tree.benchmarking, 'a') as b:
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b.write('ODM Benchmarking file created %s\nNumber of Cores: %s\n\n' % (system.now(), context.num_cores))
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def connections(self, _p):
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# define initial task
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# TODO: What is this?
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# initial_task = _p.args['start_with']
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# initial_task_id = config.processopts.index(initial_task)
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# define the connections like you would for the plasm
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# connections = []
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# load the dataset
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connections = [self.tree[:] >> self.dataset['tree']]
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# run resize cell
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connections += [self.tree[:] >> self.resize['tree'],
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self.args[:] >> self.resize['args'],
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self.dataset['photos'] >> self.resize['photos']]
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# run opensfm with images from load dataset
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connections += [self.tree[:] >> self.opensfm['tree'],
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self.args[:] >> self.opensfm['args'],
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self.resize['photos'] >> self.opensfm['photos']]
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# run cmvs
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connections += [self.tree[:] >> self.cmvs['tree'],
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self.args[:] >> self.cmvs['args'],
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self.opensfm['reconstruction'] >> self.cmvs['reconstruction']]
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# run pmvs
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connections += [self.tree[:] >> self.pmvs['tree'],
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self.args[:] >> self.pmvs['args'],
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self.cmvs['reconstruction'] >> self.pmvs['reconstruction']]
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# create odm mesh
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connections += [self.tree[:] >> self.meshing['tree'],
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self.args[:] >> self.meshing['args'],
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self.pmvs['reconstruction'] >> self.meshing['reconstruction']]
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# create odm texture
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connections += [self.tree[:] >> self.texturing['tree'],
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self.args[:] >> self.texturing['args'],
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self.meshing['reconstruction'] >> self.texturing['reconstruction']]
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# create odm georeference
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connections += [self.tree[:] >> self.georeferencing['tree'],
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self.args[:] >> self.georeferencing['args'],
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self.dataset['photos'] >> self.georeferencing['photos'],
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self.texturing['reconstruction'] >> self.georeferencing['reconstruction']]
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# create odm orthophoto
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connections += [self.tree[:] >> self.orthophoto['tree'],
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self.args[:] >> self.orthophoto['args'],
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self.georeferencing['reconstruction'] >> self.orthophoto['reconstruction']]
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return connections
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