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distance in find function implemented

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Şefik Serangil 2020-05-25 17:23:15 +03:00
parent c67ae7fe6a
commit 4440d82d44
1 changed files with 10 additions and 1 deletions
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9
deepface/DeepFace.py
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@ -435,7 +435,16 @@ def find(img_path, db_path
distances = []
for index, instance in df.iterrows():
source_representation = instance["representation"]
if distance_metric == 'cosine':
distance = dst.findCosineDistance(source_representation, target_representation)
elif distance_metric == 'euclidean':
distance = dst.findEuclideanDistance(source_representation, target_representation)
elif distance_metric == 'euclidean_l2':
distance = dst.findEuclideanDistance(dst.l2_normalize(source_representation), dst.l2_normalize(target_representation))
else:
raise ValueError("Invalid distance_metric passed - ", distance_metric)
distances.append(distance)
df["distance"] = distances