Hi! I am doing homography in Python and am not getting expected Output. I am getting differen matrix
Here is my code's Google Colab link:-
https://colab.research.google.com/drive/1OMWP4faY8dbNRAfryvBs7S7CEuM8oeDz
Here is basic Homography Link (just for your reference):-
https://www.learnopencv.com/image-alignment-feature-based-using-opencv-c-python/
In casw you are not able to open Colab. Here is source code.
import cv2 import numpy as np
if __name__ == '__main__' :
pts_src = np.array([[141.0, 131.0], [480.0, 159.0], [493.0, 630.0],[64.0, 601.0]])
pts_src=np.asarray(pts_src) #not needed actually
pts_src = pts_src.astype('float32') #not needed actually
pts_dst = np.array([[318.0, 256.0],[534.0, 372.0],[316.0, 670.0],[73.0, 473.0]])
pts_dst=np.asarray(pts_dst) #not needed actually
pts_dst= pts_dst.astype('float32') #not needed actually
h, status = cv2.findHomography(pts_src, pts_dst,cv2.RANSAC, 5.0)
# Wrap source image to destination based on homography
print( h)
print(len(h))
print("------------Printing H------")
print( status)
print("------Printing Status-------------")
print (status.ravel().tolist())
print("--------------------")
print("Source is multiplied first")
#pts_src2 = np.array([[141.0, 131.0,1.0], [480.0, 159.0,1.0], [493.0, 630.0,1.0]])
pts_dst2=np.array([[318.0, 256.0,1.0],[534.0, 372.0,1.0],[316.0, 670.0,1.0]]).transpose()
print("----see---")
print(+len(pts_dst2))
pts_dst2=np.asarray(pts_dst2) #not needed actually
pts_dst2= pts_dst2.astype('float32') #not needed actually
pts_dst2=np.asmatrix(pts_dst2)
h=np.asmatrix(h)
pts=np.dot( h, pts_dst2)
print(pts)
print("--------END-----------")
Output:-
[ 1.46491654e-01 4.41418278e-01 1.61369294e+02] [-3.62463336e-04 -9.14274844e-05 1.00000000e+00]] 3 ------------Printing H------ [[1] [1] [1] [1]] ------Printing Status-------------
[1, 1, 1, 1]
Source is multiplied first ----see--- 3 [[322.31218638 367.38950309 147.72051431] [320.95671889 403.80343648 503.41090271] [ 0.86133122 0.77243355 0.82420517]] --------END-----------
