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making ensemble stock small

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Sefik Ilkin Serengil 2020-06-21 23:25:39 +03:00 committed by GitHub
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@ -72,7 +72,7 @@ for metric in metrics:
A face recognition task can be handled by several models and similarity metrics. Herein, deepface offers a [special boosting and combination solution](https://sefiks.com/2020/06/03/mastering-face-recognition-with-ensemble-learning/) to improve the accuracy of a face recognition task. This provides a huge improvement on accuracy metrics but it runs much slower than single models. A face recognition task can be handled by several models and similarity metrics. Herein, deepface offers a [special boosting and combination solution](https://sefiks.com/2020/06/03/mastering-face-recognition-with-ensemble-learning/) to improve the accuracy of a face recognition task. This provides a huge improvement on accuracy metrics but it runs much slower than single models.
<p align="center"><img src="https://raw.githubusercontent.com/serengil/deepface/master/icon/stock-4.jpg" width="80%" height="80%"></p> <p align="center"><img src="https://raw.githubusercontent.com/serengil/deepface/master/icon/stock-4.jpg" width="70%" height="70%"></p>
```python ```python
resp_obj = DeepFace.verify("img1.jpg", "img2.jpg", model_name = "Ensemble") resp_obj = DeepFace.verify("img1.jpg", "img2.jpg", model_name = "Ensemble")