From f05cc7ebcd2e5b2f7d1c8fff524adb9422aa9777 Mon Sep 17 00:00:00 2001 From: Sefik Ilkin Serengil Date: Sun, 28 Mar 2021 16:12:06 +0300 Subject: [PATCH] deepface 101 --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 585af7a..b17e969 100644 --- a/README.md +++ b/README.md @@ -21,6 +21,8 @@ pip install deepface 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. You can just call its verification, find or analysis function in its interface with a single line of code. +[Here](https://youtu.be/WnUVYQP4h44), you can find an introduction video covering its functionalities and the best practices. + **Face Verification** - [`Demo`](https://youtu.be/KRCvkNCOphE) Verification function under the deepface interface offers to verify face pairs as same person or different persons. You should pass face pairs as array instead of calling verify function in a for loop for the best practice. This will speed the function up dramatically and reduce the allocated memory.