skimage 0.17.2

ParametersReturns
load_surf(f)

This routine reads SIFT or SURF files generated by binary utilities from http://people.cs.ubc.ca/~lowe/keypoints/ and http://www.vision.ee.ethz.ch/~surf/.

This routine does not generate SIFT/SURF features from an image. These algorithms are patent encumbered. Please use skimage.feature.CENSURE instead.

Parameters

filelike : string or open file

Input file generated by the feature detectors from http://people.cs.ubc.ca/~lowe/keypoints/ or http://www.vision.ee.ethz.ch/~surf/ .

mode : {'SIFT', 'SURF'}, optional

Kind of descriptor used to generate :None:None:`filelike`.

Returns

data : record array with fields
  • row: int

    row position of feature

  • column: int

    column position of feature

  • scale: float

    feature scale

  • orientation: float

    feature orientation

  • data: array

    feature values

Read SIFT or SURF features from externally generated file.

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


File: /skimage/io/sift.py#76
type: <class 'function'>
Commit: