From 2a8f5c0e22daff22dc4c6ad2ab97686a5b647a65 Mon Sep 17 00:00:00 2001
From: Junhao Liang <43094337+darkliang@users.noreply.github.com>
Date: Fri, 11 Mar 2022 19:39:33 +0800
Subject: [PATCH 1/3] Fix wrong link

---
 misc/HID/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/misc/HID/README.md b/misc/HID/README.md
index 2f22ae2..6722429 100644
--- a/misc/HID/README.md
+++ b/misc/HID/README.md
@@ -13,7 +13,7 @@ Modify the `dataset_root` in `./misc/HID/baseline_hid.yaml`, and then run this c
 ```shell
 CUDA_VISIBLE_DEVICES=0,1,2,3 python -m torch.distributed.launch --nproc_per_node=4 lib/main.py --cfgs ./misc/HID/baseline_hid.yaml --phase train
 ```
-You can also download the [trained model](https://github.com/ShiqiYu/OpenGait/releases/download/v1.1/pretrained_hid_model.pt) and place it in `output` after unzipping.
+You can also download the [trained model](https://github.com/ShiqiYu/OpenGait/releases/download/v1.1/pretrained_hid_model.zip) and place it in `output` after unzipping.
 
 ## Get the submission file.
 ```shell

From 39ef7ceddeb2755701d1a2609d2d64516e8ef2ec Mon Sep 17 00:00:00 2001
From: Junhao Liang <43094337+darkliang@users.noreply.github.com>
Date: Fri, 11 Mar 2022 20:24:07 +0800
Subject: [PATCH 2/3] update HID readme

---
 misc/HID/README.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/misc/HID/README.md b/misc/HID/README.md
index 6722429..01a744e 100644
--- a/misc/HID/README.md
+++ b/misc/HID/README.md
@@ -1,5 +1,6 @@
 # HID Tutorial
-This is the official suppor for competition of Human Identification at a Distance (HID). We report our result is 68.7% using the baseline model. In order for participants to better start the first step, we provide a tutorial on how to use OpenGait for HID.
+![](http://hid2022.iapr-tc4.org/wp-content/uploads/sites/7/2022/03/%E5%9B%BE%E7%89%871-2.png)
+This is the official support for competition of [Human Identification at a Distance (HID)](http://hid2022.iapr-tc4.org/). We report our result is 68.7% using the baseline model. In order for participants to better start the first step, we provide a tutorial on how to use OpenGait for HID.
 
 ## Preprocess the dataset
 Download the raw dataset from the [official link](http://hid2022.iapr-tc4.org/). You will get three compressed files, i.e. `train.tar`, `HID2022_test_gallery.zip` and `HID2022_test_probe.zip`.

From 4499611524ef634c06d976f164eb14bf1d6f8d68 Mon Sep 17 00:00:00 2001
From: Junhao Liang <43094337+darkliang@users.noreply.github.com>
Date: Fri, 11 Mar 2022 20:52:58 +0800
Subject: [PATCH 3/3] Update README.md

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

diff --git a/README.md b/README.md
index f57423d..73aa67b 100644
--- a/README.md
+++ b/README.md
@@ -12,6 +12,8 @@ OpenGait is a flexible and extensible gait recognition project provided by the [
 - **AMP Support**: The [`Auto Mixed Precision (AMP)`](https://pytorch.org/tutorials/recipes/recipes/amp_recipe.html?highlight=amp) option is available.
 - **Nice log**: We use [`tensorboard`](https://pytorch.org/docs/stable/tensorboard.html) and `logging` to log everything, which looks pretty.
 
+## What's New
+- [Mar 2022] [HID](http://hid2022.iapr-tc4.org/) support is ready in [misc/HID](./misc/HID).
 
 ## Model Zoo