crosstyan/OpenGait
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
Dongyang Jin
2025-02-25 16:59:16 +08:00
committed by GitHub
parent 295680da3d
commit 5feda3539e
1 changed files with 3 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files
datasets/HID/README.md
+3 -3
View File
@@ -6,7 +6,7 @@ This is the official support for [Human Identification at a Distance (HID)](http
For HID 2025, we will not provide a training set. In this competition, you can use any dataset, such as CASIA-B, OUMVLP, CASIA-E, and/or their own dataset, to train your model. In this tutorial, we will use the model trained on previous HID competition training set as the baseline model. For HID 2025, we will not provide a training set. In this competition, you can use any dataset, such as CASIA-B, OUMVLP, CASIA-E, and/or their own dataset, to train your model. In this tutorial, we will use the model trained on previous HID competition training set as the baseline model.
### Download the test set ### Download the test set
Download the test gallery and probe from the [link](https://hid2025.iapr-tc4.org/#:~:text=Dataset%EF%BC%88New%20for%20HID%202025%EF%BC%89). Download the test gallery and probe from the [link](https://hid.iapr-tc4.org/).
You should decompress these two file by following command: You should decompress these two file by following command:
``` ```
mkdir hid_2025 mkdir hid_2025
@@ -23,7 +23,7 @@ mv hid_2025/probe_phase2 hid_2025/probe
``` ```
### Download the pretrained model ### Download the pretrained model
Download the [pretrained model](https://github.com/ShiqiYu/OpenGait/releases/download/v1.1/pretrained_hid_model.zip) and place it in `output` after unzipping. Download the [pretrained model](https://github.com/ShiqiYu/OpenGait/releases/download/v1.1/pretrained_hid_model.zip) from the official website and place it in `output` after unzipping.
``` ```
wget https://github.com/ShiqiYu/OpenGait/releases/download/v1.1/pretrained_hid_model.zip wget https://github.com/ShiqiYu/OpenGait/releases/download/v1.1/pretrained_hid_model.zip
unzip pretrained_hid_model.zip -d output/ unzip pretrained_hid_model.zip -d output/
@@ -56,7 +56,7 @@ Modify the `dataset_root` in `configs/baseline/baseline_hid.yaml`, and then run
```shell ```shell
CUDA_VISIBLE_DEVICES=0,1,2,3 python -m torch.distributed.launch --nproc_per_node=4 opengait/main.py --cfgs configs/baseline/baseline_hid.yaml --phase train CUDA_VISIBLE_DEVICES=0,1,2,3 python -m torch.distributed.launch --nproc_per_node=4 opengait/main.py --cfgs configs/baseline/baseline_hid.yaml --phase train
``` ```
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. If you trained a model, place it in `output` after unzipping.
### Get the submission file ### Get the submission file
```shell ```shell