Python bindings for KeyPoint methods

Usage:

import numpy as np
import cv2
img = cv2.imread('messi5.jpg',0)
sift = cv2.SIFT()
kp = sift.detect(img)

pts = cv2.KeyPoint_convert(kp)

kps = cv2.KeyPoint_convert(pts.reshape(-1,1,2))

overlap = cv2.KeyPoint_overlap(kp[0],kp[1])
This commit is contained in:
abidrahmank
2013-08-30 11:11:06 +05:30
parent fc37df05ec
commit 14af369640
3 changed files with 46 additions and 4 deletions

View File

@@ -551,18 +551,18 @@ public:
size_t hash() const;
//! converts vector of keypoints to vector of points
static void convert(const std::vector<KeyPoint>& keypoints,
CV_WRAP static void convert(const std::vector<KeyPoint>& keypoints,
CV_OUT std::vector<Point2f>& points2f,
const std::vector<int>& keypointIndexes=std::vector<int>());
//! converts vector of points to the vector of keypoints, where each keypoint is assigned the same size and the same orientation
static void convert(const std::vector<Point2f>& points2f,
CV_WRAP static void convert(const std::vector<Point2f>& points2f,
CV_OUT std::vector<KeyPoint>& keypoints,
float size=1, float response=1, int octave=0, int class_id=-1);
//! computes overlap for pair of keypoints;
//! overlap is a ratio between area of keypoint regions intersection and
//! area of keypoint regions union (now keypoint region is circle)
static float overlap(const KeyPoint& kp1, const KeyPoint& kp2);
CV_WRAP static float overlap(const KeyPoint& kp1, const KeyPoint& kp2);
CV_PROP_RW Point2f pt; //!< coordinates of the keypoints
CV_PROP_RW float size; //!< diameter of the meaningful keypoint neighborhood