From 22cade831544b12c200581bc966576a1a9c87229 Mon Sep 17 00:00:00 2001 From: Sefik Ilkin Serengil Date: Wed, 23 Jun 2021 13:52:14 +0300 Subject: [PATCH] detectors explanation --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 910324f..ff95c6e 100644 --- a/README.md +++ b/README.md @@ -164,7 +164,7 @@ for backend in backends:

-[RetinaFace](https://sefiks.com/2021/04/27/deep-face-detection-with-retinaface-in-python/) and [MTCNN](https://sefiks.com/2020/09/09/deep-face-detection-with-mtcnn-in-python/) seem to overperform in detection and alignment stages but they are slower than others. +[RetinaFace](https://sefiks.com/2021/04/27/deep-face-detection-with-retinaface-in-python/) and [MTCNN](https://sefiks.com/2020/09/09/deep-face-detection-with-mtcnn-in-python/) seem to overperform in detection and alignment stages but they are slower than others. If the speed of your pipeline is more important, then you should use opencv or ssd. On the other hand, accuracy is more important than the speed, then you should use retinaface or mtcnn. **Tech Stack** - [`Vlog`](https://youtu.be/R8fHsL7u3eE)