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how to extract x,y coordinates from OpenCV “cv2.keypoint” object?

Declare empty array of specific typeHow to randomly select an item from a list?How to return multiple values from a function?Extracting extension from filename in PythonHow to know if an object has an attribute in PythonHow to make a flat list out of list of listsProper way to declare custom exceptions in modern Python?How to access environment variable values?Cannot find module cv2 when using OpenCVWhy is “1000000000000000 in range(1000000000000001)” so fast in Python 3?How load cv2.KeyPoint and Descriptors correctly on OpenCV 3 with Python 3?

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I tried to use the following code:

 xCoordinate=point.x

(point is type of cv2.keyPoint)
It gives me error saying cv2.keyPoint has no attribute 'x'

asked Mar 9 '16 at 6:21

mengmengxyz

1692510

add a comment |

I tried to use the following code:

 xCoordinate=point.x

(point is type of cv2.keyPoint)
It gives me error saying cv2.keyPoint has no attribute 'x'

asked Mar 9 '16 at 6:21

mengmengxyz

1692510

add a comment |

I tried to use the following code:

 xCoordinate=point.x

(point is type of cv2.keyPoint)
It gives me error saying cv2.keyPoint has no attribute 'x'

asked Mar 9 '16 at 6:21

mengmengxyz

1692510

I tried to use the following code:

 xCoordinate=point.x

(point is type of cv2.keyPoint)
It gives me error saying cv2.keyPoint has no attribute 'x'

python opencv numpy

asked Mar 9 '16 at 6:21

mengmengxyz

1692510

asked Mar 9 '16 at 6:21

mengmengxyz

1692510

asked Mar 9 '16 at 6:21

mengmengxyz

1692510

asked Mar 9 '16 at 6:21

mengmengxyz

1692510

asked Mar 9 '16 at 6:21

mengmengxyz

1692510

add a comment |

6 Answers
6

active

oldest

votes

You can use:

import numpy as np

pts = np.float([kp[idx].pt for idx in range(0, len(kp))]).reshape(-1, 1, 2)

pts will be an array of keypoints.

edited Mar 22 at 20:59

user664303

1,51221027

answered Mar 9 '16 at 8:40

Francesco Nazzaro

1,839717

add a comment |

point.pt is a tuple(x,y)`.

So,

x = point.pt[0]
y = point.pt[1]

or,

(x,y) = point.pt

edited Dec 22 '18 at 4:45

skumhest

answered May 6 '17 at 8:13

saikat sarkar

11115

add a comment |

Read the docs.

class KeyPoint

Data structure for salient point detectors.

Point2f pt
-- coordinates of the keypoint

float size
-- diameter of the meaningful keypoint neighborhood

float angle ...¶

So point.pt is a Point2f.

Try x,y= point.pt

edited Nov 20 '18 at 2:05

answered Mar 9 '16 at 6:37

roadrunner66

3,92331834

2

point.pt.x is invalid, please correct it as: x, y = point.pt

– Nirmal
Oct 26 '18 at 5:30

add a comment |

Here is my take (runable code):

import cv2, os
import numpy as np
import matplotlib.pyplot as plt

# INITIALISATION
filename = os.path.join('foo', 'bar.jpg')
img0 = cv2.imread(filename) # original image
gray = cv2.cvtColor(img0, cv2.COLOR_BGR2GRAY) # convert to grayscale
sift = cv2.xfeatures2d.SIFT_create() # initialize SIFT 
f, (ax1, ax2) = plt.subplots(1, 2) # create subplots

# DETECT AND DRAW KEYPOINTS
# sift.detect() returns a list of keypoints
# keypoint is a standard class of opencv (not just SIFT-related)
kp = sift.detect(gray,None) # calculates SIFT points
img1=cv2.drawKeypoints(gray,kp, None) # mae new image with keypoints drawn
ax1.imshow(img1) # plot 

# RETREIVE KEYPOINTS COORDINATES AND DRAW MANUALLY
# Reade these and make numpy array
pts = np.asarray([[p.pt[0], p.pt[1]] for p in kp])
cols = pts[:,0]
rows = pts[:,1]
ax2.imshow(cv2.cvtColor(img0, cv2.COLOR_BGR2RGB))
ax2.scatter(cols, rows)

plt.show()

edited Nov 2 '18 at 12:58

answered Nov 2 '18 at 10:40

quickbug

1,72441117

add a comment |

OpenCV provides a function for this. You can run:

pts = cv2.KeyPoint_convert(kp)

answered Mar 28 at 13:29

Vik

304210

add a comment |

I solved your problem like this.

kp,des = surf.detectAndCompute(img,None) 
pts = [p.pt for p in kp]

Now you get a list of x,y co-ordinates for all keypoints in your image.

edited Oct 6 '17 at 9:06

Shaido

13.4k123045

answered Oct 6 '17 at 8:49

Alexander Hunt

add a comment |

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6 Answers
6

active

oldest

votes

6 Answers
6

active

oldest

votes

You can use:

import numpy as np

pts = np.float([kp[idx].pt for idx in range(0, len(kp))]).reshape(-1, 1, 2)

pts will be an array of keypoints.

edited Mar 22 at 20:59

user664303

1,51221027

answered Mar 9 '16 at 8:40

Francesco Nazzaro

1,839717

add a comment |

You can use:

import numpy as np

pts = np.float([kp[idx].pt for idx in range(0, len(kp))]).reshape(-1, 1, 2)

pts will be an array of keypoints.

edited Mar 22 at 20:59

user664303

1,51221027

answered Mar 9 '16 at 8:40

Francesco Nazzaro

1,839717

add a comment |

You can use:

import numpy as np

pts = np.float([kp[idx].pt for idx in range(0, len(kp))]).reshape(-1, 1, 2)

pts will be an array of keypoints.

edited Mar 22 at 20:59

user664303

1,51221027

answered Mar 9 '16 at 8:40

Francesco Nazzaro

1,839717

You can use:

import numpy as np

pts = np.float([kp[idx].pt for idx in range(0, len(kp))]).reshape(-1, 1, 2)

pts will be an array of keypoints.

edited Mar 22 at 20:59

user664303

1,51221027

answered Mar 9 '16 at 8:40

Francesco Nazzaro

1,839717

edited Mar 22 at 20:59

user664303

1,51221027

edited Mar 22 at 20:59

user664303

1,51221027

edited Mar 22 at 20:59

user664303

1,51221027

answered Mar 9 '16 at 8:40

Francesco Nazzaro

1,839717

answered Mar 9 '16 at 8:40

Francesco Nazzaro

1,839717

answered Mar 9 '16 at 8:40

Francesco Nazzaro

1,839717

add a comment |

point.pt is a tuple(x,y)`.

So,

x = point.pt[0]
y = point.pt[1]

or,

(x,y) = point.pt

edited Dec 22 '18 at 4:45

skumhest

answered May 6 '17 at 8:13

saikat sarkar

11115

add a comment |

point.pt is a tuple(x,y)`.

So,

x = point.pt[0]
y = point.pt[1]

or,

(x,y) = point.pt

edited Dec 22 '18 at 4:45

skumhest

answered May 6 '17 at 8:13

saikat sarkar

11115

add a comment |

point.pt is a tuple(x,y)`.

So,

x = point.pt[0]
y = point.pt[1]

or,

(x,y) = point.pt

edited Dec 22 '18 at 4:45

skumhest

answered May 6 '17 at 8:13

saikat sarkar

11115

point.pt is a tuple(x,y)`.

So,

x = point.pt[0]
y = point.pt[1]

or,

(x,y) = point.pt

edited Dec 22 '18 at 4:45

skumhest

answered May 6 '17 at 8:13

saikat sarkar

11115

edited Dec 22 '18 at 4:45

skumhest

edited Dec 22 '18 at 4:45

skumhest

edited Dec 22 '18 at 4:45

skumhest

answered May 6 '17 at 8:13

saikat sarkar

11115

answered May 6 '17 at 8:13

saikat sarkar

11115

answered May 6 '17 at 8:13

saikat sarkar

11115

add a comment |

Read the docs.

class KeyPoint

Data structure for salient point detectors.

Point2f pt
-- coordinates of the keypoint

float size
-- diameter of the meaningful keypoint neighborhood

float angle ...¶

So point.pt is a Point2f.

Try x,y= point.pt

edited Nov 20 '18 at 2:05

answered Mar 9 '16 at 6:37

roadrunner66

3,92331834

2

point.pt.x is invalid, please correct it as: x, y = point.pt

– Nirmal
Oct 26 '18 at 5:30

add a comment |

Read the docs.

class KeyPoint

Data structure for salient point detectors.

Point2f pt
-- coordinates of the keypoint

float size
-- diameter of the meaningful keypoint neighborhood

float angle ...¶

So point.pt is a Point2f.

Try x,y= point.pt

edited Nov 20 '18 at 2:05

answered Mar 9 '16 at 6:37

roadrunner66

3,92331834

2

point.pt.x is invalid, please correct it as: x, y = point.pt

– Nirmal
Oct 26 '18 at 5:30

add a comment |

Read the docs.

class KeyPoint

Data structure for salient point detectors.

Point2f pt
-- coordinates of the keypoint

float size
-- diameter of the meaningful keypoint neighborhood

float angle ...¶

So point.pt is a Point2f.

Try x,y= point.pt

edited Nov 20 '18 at 2:05

answered Mar 9 '16 at 6:37

roadrunner66

3,92331834

Read the docs.

class KeyPoint

Data structure for salient point detectors.

Point2f pt
-- coordinates of the keypoint

float size
-- diameter of the meaningful keypoint neighborhood

float angle ...¶

So point.pt is a Point2f.

Try x,y= point.pt

edited Nov 20 '18 at 2:05

answered Mar 9 '16 at 6:37

roadrunner66

3,92331834

edited Nov 20 '18 at 2:05

answered Mar 9 '16 at 6:37

roadrunner66

3,92331834

answered Mar 9 '16 at 6:37

roadrunner66

3,92331834

answered Mar 9 '16 at 6:37

roadrunner66

3,92331834

2

point.pt.x is invalid, please correct it as: x, y = point.pt

– Nirmal
Oct 26 '18 at 5:30

add a comment |

2

point.pt.x is invalid, please correct it as: x, y = point.pt

– Nirmal
Oct 26 '18 at 5:30

point.pt.x is invalid, please correct it as: x, y = point.pt

– Nirmal
Oct 26 '18 at 5:30

add a comment |

Here is my take (runable code):

import cv2, os
import numpy as np
import matplotlib.pyplot as plt

# INITIALISATION
filename = os.path.join('foo', 'bar.jpg')
img0 = cv2.imread(filename) # original image
gray = cv2.cvtColor(img0, cv2.COLOR_BGR2GRAY) # convert to grayscale
sift = cv2.xfeatures2d.SIFT_create() # initialize SIFT 
f, (ax1, ax2) = plt.subplots(1, 2) # create subplots

# DETECT AND DRAW KEYPOINTS
# sift.detect() returns a list of keypoints
# keypoint is a standard class of opencv (not just SIFT-related)
kp = sift.detect(gray,None) # calculates SIFT points
img1=cv2.drawKeypoints(gray,kp, None) # mae new image with keypoints drawn
ax1.imshow(img1) # plot 

# RETREIVE KEYPOINTS COORDINATES AND DRAW MANUALLY
# Reade these and make numpy array
pts = np.asarray([[p.pt[0], p.pt[1]] for p in kp])
cols = pts[:,0]
rows = pts[:,1]
ax2.imshow(cv2.cvtColor(img0, cv2.COLOR_BGR2RGB))
ax2.scatter(cols, rows)

plt.show()

edited Nov 2 '18 at 12:58

answered Nov 2 '18 at 10:40

quickbug

1,72441117

add a comment |

Here is my take (runable code):

import cv2, os
import numpy as np
import matplotlib.pyplot as plt

# INITIALISATION
filename = os.path.join('foo', 'bar.jpg')
img0 = cv2.imread(filename) # original image
gray = cv2.cvtColor(img0, cv2.COLOR_BGR2GRAY) # convert to grayscale
sift = cv2.xfeatures2d.SIFT_create() # initialize SIFT 
f, (ax1, ax2) = plt.subplots(1, 2) # create subplots

# DETECT AND DRAW KEYPOINTS
# sift.detect() returns a list of keypoints
# keypoint is a standard class of opencv (not just SIFT-related)
kp = sift.detect(gray,None) # calculates SIFT points
img1=cv2.drawKeypoints(gray,kp, None) # mae new image with keypoints drawn
ax1.imshow(img1) # plot 

# RETREIVE KEYPOINTS COORDINATES AND DRAW MANUALLY
# Reade these and make numpy array
pts = np.asarray([[p.pt[0], p.pt[1]] for p in kp])
cols = pts[:,0]
rows = pts[:,1]
ax2.imshow(cv2.cvtColor(img0, cv2.COLOR_BGR2RGB))
ax2.scatter(cols, rows)

plt.show()

edited Nov 2 '18 at 12:58

answered Nov 2 '18 at 10:40

quickbug

1,72441117

add a comment |

Here is my take (runable code):

import cv2, os
import numpy as np
import matplotlib.pyplot as plt

# INITIALISATION
filename = os.path.join('foo', 'bar.jpg')
img0 = cv2.imread(filename) # original image
gray = cv2.cvtColor(img0, cv2.COLOR_BGR2GRAY) # convert to grayscale
sift = cv2.xfeatures2d.SIFT_create() # initialize SIFT 
f, (ax1, ax2) = plt.subplots(1, 2) # create subplots

# DETECT AND DRAW KEYPOINTS
# sift.detect() returns a list of keypoints
# keypoint is a standard class of opencv (not just SIFT-related)
kp = sift.detect(gray,None) # calculates SIFT points
img1=cv2.drawKeypoints(gray,kp, None) # mae new image with keypoints drawn
ax1.imshow(img1) # plot 

# RETREIVE KEYPOINTS COORDINATES AND DRAW MANUALLY
# Reade these and make numpy array
pts = np.asarray([[p.pt[0], p.pt[1]] for p in kp])
cols = pts[:,0]
rows = pts[:,1]
ax2.imshow(cv2.cvtColor(img0, cv2.COLOR_BGR2RGB))
ax2.scatter(cols, rows)

plt.show()

edited Nov 2 '18 at 12:58

answered Nov 2 '18 at 10:40

quickbug

1,72441117

Here is my take (runable code):

import cv2, os
import numpy as np
import matplotlib.pyplot as plt

# INITIALISATION
filename = os.path.join('foo', 'bar.jpg')
img0 = cv2.imread(filename) # original image
gray = cv2.cvtColor(img0, cv2.COLOR_BGR2GRAY) # convert to grayscale
sift = cv2.xfeatures2d.SIFT_create() # initialize SIFT 
f, (ax1, ax2) = plt.subplots(1, 2) # create subplots

# DETECT AND DRAW KEYPOINTS
# sift.detect() returns a list of keypoints
# keypoint is a standard class of opencv (not just SIFT-related)
kp = sift.detect(gray,None) # calculates SIFT points
img1=cv2.drawKeypoints(gray,kp, None) # mae new image with keypoints drawn
ax1.imshow(img1) # plot 

# RETREIVE KEYPOINTS COORDINATES AND DRAW MANUALLY
# Reade these and make numpy array
pts = np.asarray([[p.pt[0], p.pt[1]] for p in kp])
cols = pts[:,0]
rows = pts[:,1]
ax2.imshow(cv2.cvtColor(img0, cv2.COLOR_BGR2RGB))
ax2.scatter(cols, rows)

plt.show()

edited Nov 2 '18 at 12:58

answered Nov 2 '18 at 10:40

quickbug

1,72441117

edited Nov 2 '18 at 12:58

answered Nov 2 '18 at 10:40

quickbug

1,72441117

answered Nov 2 '18 at 10:40

quickbug

1,72441117

answered Nov 2 '18 at 10:40

quickbug

1,72441117

add a comment |

OpenCV provides a function for this. You can run:

pts = cv2.KeyPoint_convert(kp)

answered Mar 28 at 13:29

Vik

304210

add a comment |

OpenCV provides a function for this. You can run:

pts = cv2.KeyPoint_convert(kp)

answered Mar 28 at 13:29

Vik

304210

add a comment |

OpenCV provides a function for this. You can run:

pts = cv2.KeyPoint_convert(kp)

answered Mar 28 at 13:29

Vik

304210

OpenCV provides a function for this. You can run:

pts = cv2.KeyPoint_convert(kp)

answered Mar 28 at 13:29

Vik

304210

answered Mar 28 at 13:29

Vik

304210

answered Mar 28 at 13:29

Vik

304210

answered Mar 28 at 13:29

Vik

304210

add a comment |

I solved your problem like this.

kp,des = surf.detectAndCompute(img,None) 
pts = [p.pt for p in kp]

Now you get a list of x,y co-ordinates for all keypoints in your image.

edited Oct 6 '17 at 9:06

Shaido

13.4k123045

answered Oct 6 '17 at 8:49

Alexander Hunt

add a comment |

I solved your problem like this.

kp,des = surf.detectAndCompute(img,None) 
pts = [p.pt for p in kp]

Now you get a list of x,y co-ordinates for all keypoints in your image.

edited Oct 6 '17 at 9:06

Shaido

13.4k123045

answered Oct 6 '17 at 8:49

Alexander Hunt

add a comment |

I solved your problem like this.

kp,des = surf.detectAndCompute(img,None) 
pts = [p.pt for p in kp]

Now you get a list of x,y co-ordinates for all keypoints in your image.

edited Oct 6 '17 at 9:06

Shaido

13.4k123045

answered Oct 6 '17 at 8:49

Alexander Hunt

I solved your problem like this.

kp,des = surf.detectAndCompute(img,None) 
pts = [p.pt for p in kp]

Now you get a list of x,y co-ordinates for all keypoints in your image.

edited Oct 6 '17 at 9:06

Shaido

13.4k123045

answered Oct 6 '17 at 8:49

Alexander Hunt

edited Oct 6 '17 at 9:06

Shaido

13.4k123045

edited Oct 6 '17 at 9:06

Shaido

13.4k123045

edited Oct 6 '17 at 9:06

Shaido

13.4k123045

answered Oct 6 '17 at 8:49

Alexander Hunt

answered Oct 6 '17 at 8:49

Alexander Hunt

answered Oct 6 '17 at 8:49

Alexander Hunt

add a comment |

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