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[nodes] ImageMatching: use method SequentialAndVocTree by default

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This commit is contained in:
Fabien Castan 2021-04-13 18:09:43 +02:00
parent e330201077
commit 8cf9dae33f
1 changed files with 3 additions and 3 deletions
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6
meshroom/nodes/aliceVision/ImageMatching.py
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@ -65,7 +65,7 @@ If images have known poses, use frustum intersection else use VocabularuTree.
' * Exhaustive: Export all image pairs.\n'
' * Frustum: If images have known poses, computes the intersection between cameras frustums to create the list of image pairs.\n'
' * FrustumOrVocabularyTree: If images have known poses, use frustum intersection else use VocabularyTree.\n',
value='VocabularyTree',
value='SequentialAndVocabularyTree',
values=['VocabularyTree', 'Sequential', 'SequentialAndVocabularyTree', 'Exhaustive', 'Frustum', 'FrustumOrVocabularyTree'],
exclusive=True,
uid=[0],
@ -111,7 +111,7 @@ If images have known poses, use frustum intersection else use VocabularuTree.
name='nbMatches',
label='Voc Tree: Nb Matches',
description='The number of matches to retrieve for each image (If 0 it will retrieve all the matches).',
value=50,
value=40,
range=(0, 1000, 1),
uid=[0],
advanced=True,
@ -121,7 +121,7 @@ If images have known poses, use frustum intersection else use VocabularuTree.
name='nbNeighbors',
label='Sequential: Nb Neighbors',
description='The number of neighbors to retrieve for each image (If 0 it will retrieve all the neighbors).',
value=50,
value=5,
range=(0, 1000, 1),
uid=[0],
advanced=True,