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Python Point Detect
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import cv2 | |
import numpy as np | |
import scipy.ndimage.measurements | |
cv2.startWindowThread() | |
for iname,t in (("img",45),("img2",230), ("img3",230), ("img4",250)): | |
i = cv2.imread("%s.png" % iname) | |
cv2.namedWindow(iname) | |
valid = i >= t | |
cv2.imshow(iname, i) | |
i[~valid] = 0 | |
lbls,npts = scipy.ndimage.measurements.label(i) | |
slcs = scipy.ndimage.measurements.find_objects(lbls) | |
#according to the docs, passing None as the last argument should | |
#return all centre of mass. But this doesnt work. So assume the labels start | |
#at 1 and increase linearly | |
#http://projects.scipy.org/scipy/ticket/1839 | |
# | |
#lets also assume that they are returned in the same order as the slices | |
for n in range(1,npts+1): | |
slc = slcs[n-1] | |
r,c,_ = scipy.ndimage.measurements.center_of_mass(i,lbls,n) | |
b = i[slc] | |
cv2.namedWindow("%spatch%d" % (iname,n)) | |
cv2.imshow("%spatch%d" % (iname,n), b) | |
print n, " = ", b.sum()/np.count_nonzero(b),"@",r,",",c | |
i[r-20:r+20,c,2] = 255 | |
i[r,c-20:c+20,2] = 255 | |
cv2.imshow(iname, i) |
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