From ed9b3f3c7dbeb012783c1aabd550072afb8d3ce5 Mon Sep 17 00:00:00 2001 From: Sefik Ilkin Serengil Date: Fri, 12 Aug 2022 16:38:22 +0100 Subject: [PATCH] format --- README.md | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 0634b50..56527bc 100644 --- a/README.md +++ b/README.md @@ -89,7 +89,17 @@ Here, embedding is also [plotted](https://sefiks.com/2020/05/01/a-gentle-introdu Deepface is a **hybrid** face recognition package. It currently wraps many **state-of-the-art** face recognition models: [`VGG-Face`](https://sefiks.com/2018/08/06/deep-face-recognition-with-keras/) , [`Google FaceNet`](https://sefiks.com/2018/09/03/face-recognition-with-facenet-in-keras/), [`OpenFace`](https://sefiks.com/2019/07/21/face-recognition-with-openface-in-keras/), [`Facebook DeepFace`](https://sefiks.com/2020/02/17/face-recognition-with-facebook-deepface-in-keras/), [`DeepID`](https://sefiks.com/2020/06/16/face-recognition-with-deepid-in-keras/), [`ArcFace`](https://sefiks.com/2020/12/14/deep-face-recognition-with-arcface-in-keras-and-python/), [`Dlib`](https://sefiks.com/2020/07/11/face-recognition-with-dlib-in-python/) and `SFace`. The default configuration uses VGG-Face model. ```python -models = ["VGG-Face", "Facenet", "Facenet512", "OpenFace", "DeepFace", "DeepID", "ArcFace", "Dlib", "SFace"] +models = [ + "VGG-Face", + "Facenet", + "Facenet512", + "OpenFace", + "DeepFace", + "DeepID", + "ArcFace", + "Dlib", + "SFace", +] #face verification result = DeepFace.verify(img1_path = "img1.jpg", img2_path = "img2.jpg", model_name = models[1])