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Sefik Ilkin Serengil 2020-07-06 09:28:52 +03:00 committed by GitHub
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@ -68,7 +68,7 @@ for metric in metrics:
result = DeepFace.verify("img1.jpg", "img2.jpg", distance_metric = metric) result = DeepFace.verify("img1.jpg", "img2.jpg", distance_metric = metric)
``` ```
Euclidean L2 form [overperforms](https://youtu.be/i_MOwvhbLdI) than cosine and regular Euclidean distance based on experiments. Euclidean L2 form [seems](https://youtu.be/i_MOwvhbLdI) to be more stable than cosine and regular Euclidean distance based on experiments.
**Ensemble learning for face recognition** - [`Demo`](https://youtu.be/EIBJJJ0ECXU) **Ensemble learning for face recognition** - [`Demo`](https://youtu.be/EIBJJJ0ECXU)