From e9438e51946f5f2e1ff126e990800ec317a15e3c Mon Sep 17 00:00:00 2001 From: Sefik Ilkin Serengil Date: Tue, 22 Dec 2020 11:56:17 +0300 Subject: [PATCH] typo --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index d7af744..dbb2297 100644 --- a/README.md +++ b/README.md @@ -17,7 +17,7 @@ pip install deepface ## 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) @@ -32,6 +32,8 @@ print("Is verified: ", result["verified"])

+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 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.