From bee8c1621ed9809ca5a558fde1e45d4e2e0a010a Mon Sep 17 00:00:00 2001
From: Chao Fan <92680886+ChaoFan996@users.noreply.github.com>
Date: Mon, 17 Jul 2023 19:47:49 +0800
Subject: [PATCH] Update README.md

---
 README.md | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 5ef463c..96bf9fc 100644
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+++ b/README.md
@@ -10,8 +10,9 @@
 OpenGait is a flexible and extensible gait recognition project provided by the [Shiqi Yu Group](https://faculty.sustech.edu.cn/yusq/) and supported in part by [WATRIX.AI](http://www.watrix.ai).
 
 ## What's New
+- **[July 2023]** [CCPG](https://github.com/BNU-IVC/CCPG) is supported in [datasets/CCPG](./datasets/CCPG).
 - **[July 2023]** [SUSTech1K](https://lidargait.github.io) is released and supported in [datasets/SUSTech1K](./datasets/SUSTech1K).
-- **[May 2023]** A real gait recognition system [All-in-One-Gait](https://github.com/jdyjjj/All-in-One-Gait) provided by [Dongyang Jin](https://github.com/jdyjjj) is avaliable.
+- [May 2023] A real gait recognition system [All-in-One-Gait](https://github.com/jdyjjj/All-in-One-Gait) provided by [Dongyang Jin](https://github.com/jdyjjj) is avaliable.
 - [Apr 2023] [CASIA-E](datasets/CASIA-E/README.md) is supported by OpenGait.
 - [Feb 2023] [HID 2023 competition](https://hid2023.iapr-tc4.org/) is open, welcome to participate. Additionally, tutorial for the competition has been updated in [datasets/HID/](./datasets/HID).
 - [Dec 2022] Dataset [Gait3D](https://github.com/Gait3D/Gait3D-Benchmark) is supported in [datasets/Gait3D](./datasets/Gait3D).
@@ -31,7 +32,7 @@ The workflow of [All-in-One-Gait](https://github.com/jdyjjj/All-in-One-Gait) inv
 See [here](https://github.com/jdyjjj/All-in-One-Gait) for details.
 
 ## Highlighted features
-- **Mutiple Dataset supported**: [CASIA-B](http://www.cbsr.ia.ac.cn/english/Gait%20Databases.asp), [OUMVLP](http://www.am.sanken.osaka-u.ac.jp/BiometricDB/GaitMVLP.html), [SUSTech1K](https://lidargait.github.io), [HID](http://hid2022.iapr-tc4.org/), [GREW](https://www.grew-benchmark.org), [Gait3D](https://github.com/Gait3D/Gait3D-Benchmark), and [CASIA-E](https://www.scidb.cn/en/detail?dataSetId=57be0e918db743279baf44a38d013a06).
+- **Mutiple Dataset supported**: [CASIA-B](http://www.cbsr.ia.ac.cn/english/Gait%20Databases.asp), [OUMVLP](http://www.am.sanken.osaka-u.ac.jp/BiometricDB/GaitMVLP.html), [SUSTech1K](https://lidargait.github.io), [HID](http://hid2022.iapr-tc4.org/), [GREW](https://www.grew-benchmark.org), [Gait3D](https://github.com/Gait3D/Gait3D-Benchmark), [CCPG](https://openaccess.thecvf.com/content/CVPR2023/papers/Li_An_In-Depth_Exploration_of_Person_Re-Identification_and_Gait_Recognition_in_CVPR_2023_paper.pdf), and [CASIA-E](https://www.scidb.cn/en/detail?dataSetId=57be0e918db743279baf44a38d013a06).
 - **Multiple Models Support**: We reproduced several SOTA methods, and reached the same or even the better performance. 
 - **DDP Support**: The officially recommended [`Distributed Data Parallel (DDP)`](https://pytorch.org/tutorials/intermediate/ddp_tutorial.html) mode is used during both the training and testing phases.
 - **AMP Support**: The [`Auto Mixed Precision (AMP)`](https://pytorch.org/tutorials/recipes/recipes/amp_recipe.html?highlight=amp) option is available.