kopia lustrzana https://github.com/OpenDroneMap/ODM
70 wiersze
2.3 KiB
Python
70 wiersze
2.3 KiB
Python
#!/usr/bin/env python
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import argparse
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import logging
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import multiprocessing
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import os
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import subprocess
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from opensfm.large import metadataset
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from opendm import context
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logger = logging.getLogger(__name__)
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logging.basicConfig(format='%(asctime)s %(message)s', level=logging.INFO)
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def run_command(args):
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result = subprocess.Popen(args).wait()
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if result != 0:
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raise RuntimeError(result)
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class Reconstructor:
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def __init__(self, command, run_matching):
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self.command = command
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self.run_matching = run_matching
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def __call__(self, submodel_path):
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logger.info("=======================================================")
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logger.info("Reconstructing submodel {}".format(submodel_path))
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logger.info("=======================================================")
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if self.run_matching:
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run_command([self.command, 'extract_metadata', submodel_path])
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run_command([self.command, 'detect_features', submodel_path])
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run_command([self.command, 'match_features', submodel_path])
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run_command([self.command, 'create_tracks', submodel_path])
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run_command([self.command, 'reconstruct', submodel_path])
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logger.info("=======================================================")
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logger.info("Submodel {} reconstructed".format(submodel_path))
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logger.info("=======================================================")
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description='Reconstruct all submodels')
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parser.add_argument('dataset',
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help='path to the dataset to be processed')
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parser.add_argument('--run-matching',
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help='Run matching for each submodel',
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action='store_true')
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args = parser.parse_args()
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path = os.path.join(args.dataset, 'opensfm')
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meta_data = metadataset.MetaDataSet(path)
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command = os.path.join(context.opensfm_path, 'bin', 'opensfm')
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submodel_paths = meta_data.get_submodel_paths()
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reconstructor = Reconstructor(command, args.run_matching)
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processes = meta_data.config['processes']
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if processes == 1:
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for submodel_path in submodel_paths:
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reconstructor(submodel_path)
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else:
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p = multiprocessing.Pool(processes)
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p.map(reconstructor, submodel_paths)
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