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@ -17,7 +17,7 @@ pip install deepface
## Face Recognition ## Face Recognition
A modern [**face recognition pipeline**](https://sefiks.com/2020/05/01/a-gentle-introduction-to-face-recognition-in-deep-learning/) consists of 4 common stages: [detect](https://sefiks.com/2020/08/25/deep-face-detection-with-opencv-in-python/), [align](https://sefiks.com/2020/02/23/face-alignment-for-face-recognition-in-python-within-opencv/), [represent](https://sefiks.com/2018/08/06/deep-face-recognition-with-keras/) and [verify](https://sefiks.com/2020/05/22/fine-tuning-the-threshold-in-face-recognition/). Deepface handles all these common stages in the background. Herein, face pairs could be exact image paths, numpy array or base64 encoded images. A modern [**face recognition pipeline**](https://sefiks.com/2020/05/01/a-gentle-introduction-to-face-recognition-in-deep-learning/) consists of 4 common stages: [detect](https://sefiks.com/2020/08/25/deep-face-detection-with-opencv-in-python/), [align](https://sefiks.com/2020/02/23/face-alignment-for-face-recognition-in-python-within-opencv/), [represent](https://sefiks.com/2018/08/06/deep-face-recognition-with-keras/) and [verify](https://sefiks.com/2020/05/22/fine-tuning-the-threshold-in-face-recognition/). Deepface handles all these common stages in the background.
**Face Verification** - [`Demo`](https://youtu.be/KRCvkNCOphE) **Face Verification** - [`Demo`](https://youtu.be/KRCvkNCOphE)
@ -32,6 +32,8 @@ print("Is verified: ", result["verified"])
<p align="center"><img src="https://raw.githubusercontent.com/serengil/deepface/master/icon/stock-1.jpg" width="95%" height="95%"></p> <p align="center"><img src="https://raw.githubusercontent.com/serengil/deepface/master/icon/stock-1.jpg" width="95%" height="95%"></p>
Herein, face pairs could be exact image paths, numpy array or base64 encoded images.
**Face recognition** - [`Demo`](https://youtu.be/Hrjp-EStM_s) **Face recognition** - [`Demo`](https://youtu.be/Hrjp-EStM_s)
Face recognition requires to apply face verification several times. Herein, deepface offers an out-of-the-box find function to handle this action. It stores the representations of your facial database and you don't have to find it again and again. In this way, you can apply [face recognition](https://sefiks.com/2020/05/25/large-scale-face-recognition-for-deep-learning/) data set as well. The find function returns pandas data frame if a single image path is passed, and it returns list of pandas data frames if list of image paths are passed. Face recognition requires to apply face verification several times. Herein, deepface offers an out-of-the-box find function to handle this action. It stores the representations of your facial database and you don't have to find it again and again. In this way, you can apply [face recognition](https://sefiks.com/2020/05/25/large-scale-face-recognition-for-deep-learning/) data set as well. The find function returns pandas data frame if a single image path is passed, and it returns list of pandas data frames if list of image paths are passed.