extracted features

check_load.py

+import numpy as np
+import h5py
+import cv2
+from utilities import *
+
+kp_sift = load_h5('keypoints_sacre_coeur_sift.h5')
+desc_sift = load_h5('descriptors_sacre_coeur_sift.h5')
+matches_sift = load_h5('sacre_coeur_sift_2048_ratio_0.7.h5')
+
+all_image_names = list(kp_sift.keys())
+print(all_image_names[0])
+print(kp_sift[all_image_names[0]])
+print(kp_sift[all_image_names[0]].shape)
+
+
+print(desc_sift[all_image_names[0]])
+print(desc_sift[all_image_names[0]].shape)
+
+
+all_matches_names = list(matches_sift.keys())
+print(len(all_matches_names))
+print(all_matches_names[0])
+print(matches_sift[all_matches_names[0]])
+print(matches_sift[all_matches_names[0]].shape)
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