I'm trying to perform corner-detection on some images in Python.
I first perform the shi-tomasi algorithm with the following code:
def corners_map(image):
# Convert to grayscale and convert the image to float
RGB = img_as_float(color.rgb2gray(image))
# Apply shi-tomasi algorithm
corners_map = feature.corner_shi_tomasi(RGB, 10)
# Plot results
plt.figure(figsize=(12,6))
plt.subplot(121)
plt.imshow(RGB, cmap=cm.gist_gray)
plt.title('Original image')
plt.subplot(122)
plt.imshow(corners_map, cmap=cm.jet)
plt.colorbar(orientation='horizontal')
plt.title('Corners map');
Then I apply the feature.corner_peaks from skimage but when I call the function, it gives me an error "AttributeError: 'function' object has no attribute 'flat'". Below is the code:
def corner_peaks(image):
# Apply corner peak detection algorithm
corners = feature.corner_peaks(corners_map)
#Plot results
plt.figure(figsize=(12,6))
plt.subplot(121)
plt.imshow(RGB, cmap=cm.gist_gray)
plt.title('Original image')
plt.figure(figsize=(12,6))
plt.subplot(122)
plt.imshow(RGBimg, cmap=cm.gist_gray)
plt.scatter(corners[:,1], corners[:,0], s=30)
plt.title('skimage.feature.corner_peaks result')
corner_peaks(image1)
I'm still not too fluent in Python, so any help to fix this problem is greatly appreciated.
This is the full error:
You have reused the name corners_map
for an image and also for a function. Since functions are first-class in python, you can pass them as function arguments. On this line corners = feature.corner_peaks(corners_map)
, the corners_map
you are referencing is the above defined function. Just rename the function, the image, or both.