detect1.py

import cv2 as cv
import numpy as np


img_query = cv.imread('im1.jpg', cv.IMREAD_GRAYSCALE)
img_train = cv.imread('im1.png', cv.IMREAD_GRAYSCALE)

sift = cv.SIFT_create()

kp_query, des_query = sift.detectAndCompute(img_query, None)
kp_train, des_train = sift.detectAndCompute(img_train, None)


bf = cv.BFMatcher()

matches = bf.knnMatch(des_query, des_train, k=2)

good = []
for m, n in matches:
    if m.distance < 0.75 * n.distance:
        good.append([m])


img_matches = cv.drawMatches(img_query, kp_query, img_train, kp_train, 
                               good, None, flags=2)



print(" Attributs du premier point (Query)")
print(f"Coordonnées (x,y): {kp_query[0].pt}")
print(f"Angle: {kp_query[0].angle}")
print(f"Taille (Octave): {kp_query[0].size}")

print("\n Descripteur du premier point")
print(des_query[0]) 
img_result = cv.drawKeypoints(img_query, kp_query, None, 
                              flags=cv.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)

cv.imshow('SIFT Keypoints - Query', img_result)

cv.imshow('Mise en correspondance SIFT', img_matches)

cv.waitKey(0)
cv.destroyAllWindows()