图像的高斯金字塔SIFT

pip install opencv-contrib-python
pip install opencv-python

import cv2

# 读取图像
img_path = 'img.jpg'
img = cv2.imread(img_path)

# 计算图像的高斯金字塔
gaussian_pyramid = [img]
for i in range(4):
    img = cv2.pyrDown(img)
    gaussian_pyramid.append(img)

for i in range(5):
    sift = cv2.xfeatures2d.SIFT_create(nOctaveLayers=1)
    # 计算图像的SIFT特征
    keypoints, descriptors = sift.detectAndCompute(gaussian_pyramid[i], None)
    # 绘制特征金字塔图
    img_with_keypoints = cv2.drawKeypoints(gaussian_pyramid[i], keypoints, None)
    cv2.imshow(f'Gaussian Pyramid Level {i}', img_with_keypoints)

cv2.waitKey(0)