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Move nodes into subfolders
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17 changed files with 23 additions and 11 deletions
187
meshroom/nodes/aliceVision/FeatureMatching.py
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187
meshroom/nodes/aliceVision/FeatureMatching.py
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from meshroom.core import desc
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class FeatureMatching(desc.CommandLineNode):
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internalFolder = '{cache}/{nodeType}/{uid0}/'
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commandLine = 'openMVG_main_ComputeMatches {allParams}'
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input_file = desc.FileAttribute(
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label='Input File',
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description='''a SfM_Data file''',
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value='',
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shortName='i',
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arg='',
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uid=[0],
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isOutput=False,
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)
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out_dir = desc.FileAttribute(
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label='Out Dir',
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description='''path to directory in which computed matches will be stored [Optional]''',
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value='{cache}/{nodeType}/{uid0}/',
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shortName='o',
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arg='path',
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uid=[0],
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isOutput=True,
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)
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describerMethods = desc.ParamAttribute(
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label='Describer Methods',
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description='''(methods to use to describe an image): SIFT (default), SIFT_FLOAT to use SIFT stored as float, AKAZE: AKAZE with floating point descriptors, AKAZE_MLDB: AKAZE with binary descriptors use the found model to improve the pairwise correspondences.''',
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value='',
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shortName='m',
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arg='',
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uid=[0],
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isOutput=False,
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)
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featuresDir = desc.FileAttribute(
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label='Features Dir',
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description='''Path to directory containing the extracted features (default: $out_dir)''',
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value='',
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shortName='F',
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arg='',
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uid=[0],
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isOutput=False,
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)
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save_putative_matches = desc.ParamAttribute(
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label='Save Putative Matches',
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description='''Save putative matches''',
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value='',
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shortName='p',
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arg='',
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uid=[0],
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isOutput=False,
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)
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ratio = desc.ParamAttribute(
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label='Ratio',
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description='''Distance ratio to discard non meaningful matches 0.8: (default).''',
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value='',
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shortName='r',
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arg='',
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uid=[0],
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isOutput=False,
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)
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geometric_model = desc.ParamAttribute(
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label='Geometric Model',
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description='''(pairwise correspondences filtering thanks to robust model estimation): f: (default) fundamental matrix, e: essential matrix, h: homography matrix.''',
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value='',
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shortName='g',
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arg='',
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uid=[0],
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isOutput=False,
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)
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video_mode_matching = desc.ParamAttribute(
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label='Video Mode Matching',
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description='''(sequence matching with an overlap of X images) X: with match 0 with (1->X), ...] 2: will match 0 with (1,2), 1 with (2,3), ... 3: will match 0 with (1,2,3), 1 with (2,3,4), ...''',
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value='',
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shortName='v',
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arg='',
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uid=[0],
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isOutput=False,
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)
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pair_list = desc.FileAttribute(
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label='Pair List',
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description='''filepath A file which contains the list of matches to perform.''',
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value='',
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shortName='l',
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arg='',
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uid=[0],
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isOutput=False,
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)
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range_start = desc.ParamAttribute(
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label='Range Start',
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description='''range image index start To compute only the matches for specified range. This allows to compute different matches on different computers in parallel.''',
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value='',
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shortName='s',
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arg='',
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uid=[0],
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isOutput=False,
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)
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range_size = desc.ParamAttribute(
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label='Range Size',
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description='''range size To compute only the matches for specified range. This allows to compute different matches on different computers in parallel.''',
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value='',
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shortName='d',
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arg='',
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uid=[0],
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isOutput=False,
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)
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nearest_matching_method = desc.ParamAttribute(
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label='Nearest Matching Method',
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description='''For Scalar based regions descriptor: BRUTE_FORCE_L2: L2 BruteForce matching, ANN_L2: L2 Approximate Nearest Neighbor matching (default), CASCADE_HASHING_L2: L2 Cascade Hashing matching. FAST_CASCADE_HASHING_L2: L2 Cascade Hashing with precomputed hashed regions (faster than CASCADE_HASHING_L2 but use more memory). For Binary based descriptor: BRUTE_FORCE_HAMMING: BruteForce Hamming matching.''',
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value='',
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shortName='n',
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arg='',
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uid=[0],
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isOutput=False,
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)
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geometricEstimator = desc.ParamAttribute(
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label='Geometric Estimator',
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description='''Geometric estimator acransac: A-Contrario Ransac (default), loransac: LO-Ransac (only available for fundamental matrix)''',
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value='',
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shortName='G',
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arg='',
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uid=[0],
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isOutput=False,
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)
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guided_matching = desc.ParamAttribute(
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label='Guided Matching',
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description='''use the found model to improve the pairwise correspondences.''',
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value='',
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shortName='M',
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arg='',
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uid=[0],
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isOutput=False,
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)
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max_iteration = desc.ParamAttribute(
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label='Max Iteration',
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description='''number of maximum iterations allowed in ransac step.''',
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value='',
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shortName='I',
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arg='',
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uid=[0],
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isOutput=False,
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)
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match_file_per_image = desc.FileAttribute(
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label='Match File Per Image',
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description='''Save matches in a separate file per image''',
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value='',
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shortName='x',
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arg='',
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uid=[0],
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isOutput=False,
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)
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max_matches = desc.ParamAttribute(
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label='Max Matches',
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description='''''',
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value='',
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shortName='u',
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arg='',
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uid=[0],
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isOutput=False,
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)
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use_grid_sort = desc.ParamAttribute(
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label='Use Grid Sort',
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description='''Use matching grid sort''',
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value='',
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shortName='y',
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arg='',
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uid=[0],
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isOutput=False,
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)
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export_debug_files = desc.FileAttribute(
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label='Export Debug Files',
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description='''Export debug files (svg, dot)''',
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value='',
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shortName='e',
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arg='',
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uid=[0],
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isOutput=False,
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)
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fileExtension = desc.FileAttribute(
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label='File Extension',
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description='''File extension to store matches: bin (default), txt Unrecognized option --help''',
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value='',
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shortName='t',
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arg='',
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uid=[0],
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isOutput=False,
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)
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