From 70ab2ab671693523648560050608ab0b9ca66284 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Dar=C3=ADo=20Here=C3=B1=C3=BA?= Date: Thu, 1 Aug 2019 20:22:21 -0300 Subject: [PATCH] Syntax issue on paragraph 07 * syntax issue on paragraph 15 --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index efb00328..7b0fb638 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,7 @@ ### Description -**SeetaFace Engine** is an open source C++ face recognition engine, which can run on CPU with no third-party dependence. It contains three key parts, i.e., **SeetaFace Detection**, **SeetaFace Alignment** and **SeetaFace Identification**, which are necessary and sufficient for building a real-world face recognition applicaiton system. +**SeetaFace Engine** is an open source C++ face recognition engine, which can run on CPU with no third-party dependence. It contains three key parts, i.e., **SeetaFace Detection**, **SeetaFace Alignment** and **SeetaFace Identification**, which are necessary and sufficient for building a real-world face recognition application system. * SeetaFace Detection implements a funnel-structured (FuSt) cascade schema for real-time multi-view face detection, which achieves a good trade-off between detection accuracy and speed. State of the art accuracy can be achieved on the public dataset [FDDB](http://vis-www.cs.umass.edu/fddb/) in high speed. See [SeetaFace Detection](https://github.com/seetaface/SeetaFaceEngine/tree/master/FaceDetection) for more details. @@ -12,7 +12,7 @@ * SeetaFace Identification is a modification of AlexNet CNN for face recognition, with better performance in terms of both accuracy (97.1% on [LFW] (http://vis-www.cs.umass.edu/lfw/) and speed (about 120ms on a single I7 desktop CPU). See [SeetaFace Identification](https://github.com/seetaface/SeetaFaceEngine/tree/master/FaceIdentification) for more details. -This face recognition engine is developed by Visual Information Processing and Learning (VIPL) group, Institute of Computing Technology, Chinese Academy of Sciences. The codes are written in C++ without dependence on any 3rd-party libraries. The open source is now released under BSD-2 license (see [LICENSE](LICENSE) for details), which means the codes can be used freely for both acedemic purpose and industrial products. +This face recognition engine is developed by Visual Information Processing and Learning (VIPL) group, Institute of Computing Technology, Chinese Academy of Sciences. The codes are written in C++ without dependence on any 3rd-party libraries. The open source is now released under BSD-2 license (see [LICENSE](LICENSE) for details), which means the codes can be used freely for both academic purpose and industrial products. If you meet problems when using SeetaFace Engine, you may seek help from [Configuration Documentation](./SeetaFace_config.docx). @@ -27,4 +27,4 @@ SeetaTech is a start-up company with the focus on computer vision technology, wh * [SeetaFace Detection](./FaceDetection/README.md) * [SeetaFace Alignment](./FaceAlignment/README.md) -* [SeetaFace Identification](./FaceIdentification/README.md) \ No newline at end of file +* [SeetaFace Identification](./FaceIdentification/README.md)