Here's my code snippet:
non_zeros = np.transpose(np.nonzero(self.host))
print 'Before imwrite and imread'
print non_zeros
cv2.imwrite(final_img_name ,self.host)
out = cv2.imread(final_img_name, 0)
non_zeros = np.transpose(np.nonzero(out))
print 'After imwrite and imread'
print non_zeros
The output is as follow:
Before imwrite and imread
[[ 32 328]
[141 175]]
After imwrite and imread
[[ 32 328]
[ 32 329]
[ 33 328]
[ 35 331]
[ 35 332]
[ 36 331]
[ 39 332]
[136 171]
[136 172]
[137 168]
[137 169]
[138 172]
[138 173]
[138 174]
[138 175]
[139 170]
[139 171]
[140 170]
[140 171]
[140 175]
[141 174]
[141 175]
[142 168]
[142 169]
[142 170]
[142 174]
[142 175]
[143 171]
[143 172]]
Why non-zeros elements get added ? The values of non-zeros elements change as well (Like 10 become 1,2,3,...).
I'm working in certain application where there's not scope for any tolerance.
What's wrong ? What should I do ?
