def test_match_using_words():
configuration = config.default_config()
nfeatures = 1000
features, words = example_features(nfeatures, configuration)
matches = pyfeatures.match_using_words(features[0], words[0],
features[1], words[1][:, 0],
configuration['lowes_ratio'],
configuration['bow_num_checks'])
assert len(matches) == nfeatures
for i, j in matches:
assert i == j
def match_words(f1, words1, f2, words2, config):
"""Match using words and apply Lowe's ratio filter.
Args:
f1: feature descriptors of the first image
w1: the nth closest words for each feature in the first image
f2: feature descriptors of the second image
w2: the nth closest words for each feature in the second image
config: config parameters
"""
ratio = config["lowes_ratio"]
num_checks = config["bow_num_checks"]
return pyfeatures.match_using_words(f1, words1, f2, words2[:, 0], ratio, num_checks)
