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group=parser.add_argument_group('Passthrough', description="Option to be passed to command lines (remove - in front of option names)\r\ne.g. --1 p ULTRA to use the ULTRA preset in openMVG_main_ComputeFeatures")
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GROUP=PARSER.add_argument_group('Passthrough', description="Option to be passed to command lines (remove - in front of option names)\r\ne.g. --1 p ULTRA to use the ULTRA preset in openMVG_main_ComputeFeatures")
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forninrange(STEPS.length()):
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group.add_argument('--'+str(n), nargs='+')
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GROUP.add_argument('--'+str(n), nargs='+')
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PARSER.parse_args(namespace=CONF) # store args in the ConfContainer
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parser.parse_args(namespace=CONF) # store args in the ConfContainer
("min-resolution", boost::program_options::value(&nMinResolution)->default_value(640), "do not scale images lower than this resolution")
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("number-views", boost::program_options::value(&nNumViews)->default_value(5), "number of views used for depth-map estimation (0 - all neighbor views available)")
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("number-views-fuse", boost::program_options::value(&nMinViewsFuse)->default_value(3), "minimum number of images that agrees with an estimate during fusion in order to consider it inlier")
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("optimize", boost::program_options::value(&nOptimize)->default_value(7), "filter used after depth-map estimation (0 - disabled, 1 - remove speckles, 2 - fill gaps, 4 - cross-adjust)")
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("estimate-colors", boost::program_options::value(&nEstimateColors)->default_value(2), "estimate the colors for the dense point-cloud")
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("estimate-normals", boost::program_options::value(&nEstimateNormals)->default_value(0), "estimate the normals for the dense point-cloud")
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("estimate-colors", boost::program_options::value(&nEstimateColors)->default_value(2), "estimate the colors for the dense point-cloud (0 - disabled, 1 - final, 2 - estimate)")
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("estimate-normals", boost::program_options::value(&nEstimateNormals)->default_value(2), "estimate the normals for the dense point-cloud (0 - disabled, 1 - final, 2 - estimate)")
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("sample-mesh", boost::program_options::value(&OPT::fSampleMesh)->default_value(0.f), "uniformly samples points on a mesh (0 - disabled, <0 - number of points, >0 - sample density per square unit)")
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("filter-point-cloud", boost::program_options::value(&OPT::thFilterPointCloud)->default_value(0), "filter dense point-cloud based on visibility (0 - disabled)")
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