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Added descriptions to StructureFromMotion node #1932
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Is this one complex to review? :}} |
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thanks for the contribution.
I left some comments
description='The algorithm used to extract distinctive features from images.\n' | ||
'sift: Popular method for detecting/describing features.\n' | ||
' Robust to changes in scale and orientation\n' | ||
' sift_float: Uses floats (not ints).\n' | ||
' sift_upright: Variation that does not compute scale and orientation.\n' | ||
' dspsift: Dense version of SIFT that samples features at regular intervals.\n' | ||
' (More efficient, but may be less accurate.)\n' | ||
'akaze: A faster and more memory-efficient alternative to SIFT.\n' | ||
' Less sensitive to affine distortion, making it useful for changing camera perspectives.\n' | ||
' (Good to use in combination with SIFT)\n' | ||
' akaze_liop: With Local Intensity Order Pattern features.\n' | ||
' akaze_mldb: With Multi-Learning Decision Binary features.\n' | ||
'cctag3: Features for detecting Cube-Circle-Triangle markers in images.\n' | ||
' Robust to changes in illumination and scale, and can be used to estimate camera pose.\n' | ||
'cctag4: Variation of CCTAG with more information in markers.\n' | ||
'sift_ocv: Implementation of SIFT provided by OpenCV.\n' | ||
'akaze_ocv: Implementation of AKAZE provided by OpenCV.\n' | ||
'tag16h5: Features for detecting AprilTag markers in images.\n' | ||
' Robust and reliable for object detection and pose estimation.', |
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I'd rather integrate this into the FeatureExtraction
node as here it is only used to select which type of feature that has been already extracted to use for the SfM part
' (Good to use in combination with SIFT)\n' | ||
' akaze_liop: With Local Intensity Order Pattern features.\n' | ||
' akaze_mldb: With Multi-Learning Decision Binary features.\n' | ||
'cctag3: Features for detecting Cube-Circle-Triangle markers in images.\n' |
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FYI CCTag = Concentric Circles Tag ;-)
@@ -220,7 +254,10 @@ class StructureFromMotion(desc.AVCommandLineNode): | |||
desc.FloatParam( | |||
name='minAngleForLandmark', | |||
label='Min Angle For Landmark', | |||
description='Minimum angle for landmark.', | |||
description='This parameter sets the minimum angle required between two views to create a landmark. A landmark is ' |
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description='This parameter sets the minimum angle required between two views to create a landmark. A landmark is ' | |
description='This parameter sets the minimum angle required between two rays in space to create a 3D landmark. A landmark is ' |
'a point that is manually marked in multiple images to help improve the reconstruction accuracy. ' | ||
'A higher value for this parameter can reduce the number of landmarks created, but may also improve ' | ||
'the overall accuracy of the reconstruction.', |
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'a point that is manually marked in multiple images to help improve the reconstruction accuracy. ' | |
'A higher value for this parameter can reduce the number of landmarks created, but may also improve ' | |
'the overall accuracy of the reconstruction.', | |
'a 3D point obtained by triangulating corresponding features in two or more images. ' | |
'A higher value for this parameter can reduce the number of landmarks created, but may also improve ' | |
'the overall accuracy of the reconstruction.', |
'Rig constraints are used to enforce certain geometric relationships between the cameras in a ' | ||
'multi-camera system.', |
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'Rig constraints are used to enforce certain geometric relationships between the cameras in a ' | |
'multi-camera system.', | |
'Rig constraints are used to enforce a rigid geometric relationships between cameras that are part of the same multi-camera system.', |
Description
I figured the descriptions could be much more helpful to users. I began with just the tooltip versions. I do NOT know if they're accurate so please review.
Features list
Implementation remarks
Used chatgpt to help! But did a lot of work on it myself (and a lot of back-and-forth), and then hand editing afterwards too.