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Lwttttt/refactor contributing doc 修改安装文档中的错误 #2668

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merged 14 commits into from
Sep 1, 2023
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Lwttttt/refactor contributing doc 修改安装文档中的错误 #2668

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d419ab9
Merge pull request #2167 from open-mmlab/dev-1.x
Tau-J Apr 6, 2023
c7bfc9e
Bump version to v1.0.0 (#2169) (#2170)
Tau-J Apr 6, 2023
b6419b4
Merge pull request #2176 from open-mmlab/dev-1.x
Tau-J Apr 6, 2023
31244d0
Merge pull request #2178 from open-mmlab/dev-1.x
Tau-J Apr 6, 2023
8dd07a7
Merge pull request #2184 from open-mmlab/dev-1.x
Tau-J Apr 7, 2023
cf47b71
[Fix] add .owners.yml (#2243)
ly015 Apr 17, 2023
752c21c
Merge pull request #2280 from open-mmlab/dev-1.x
Tau-J Apr 22, 2023
98ccc8a
Merge pull request #2290 from open-mmlab/dev-1.x
Tau-J Apr 23, 2023
5fe1a0f
Merge pull request #2293 from open-mmlab/dev-1.x
Tau-J Apr 23, 2023
9dda210
Merge pull request #2299 from open-mmlab/dev-1.x
Tau-J Apr 24, 2023
dab2fdf
update repo list in README (#2301)
ly015 Apr 25, 2023
2c4a60e
Merge pull request #2355 from open-mmlab/dev-1.x
Tau-J May 15, 2023
537bd8e
Merge pull request #2515 from open-mmlab/dev-1.x
Tau-J Jul 4, 2023
70d9a1c
commit message
lwttttt Sep 1, 2023
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6 changes: 3 additions & 3 deletions docs/en/installation.md
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Original file line number Diff line number Diff line change
Expand Up @@ -102,7 +102,7 @@ To verify that MMPose is installed correctly, you can run an inference demo with
mim download mmpose --config td-hm_hrnet-w48_8xb32-210e_coco-256x192 --dest .
```

The downloading will take several seconds or more, depending on your network environment. When it is done, you will find two files `td-hm_hrnet-w48_8xb32-210e_coco-256x192.py` and `hrnet_w48_coco_256x192-b9e0b3ab_20200708.pth` in your current folder.
The downloading will take several seconds or more, depending on your network environment. When it is done, you will find two files `td-hm_hrnet-w48_8xb32-210e_coco-256x192.py` and `td-hm_hrnet-w48_8xb32-210e_coco-256x192-0e67c616_20220913.pth` in your current folder.

**Step 2.** Run the inference demo.

Expand All @@ -112,7 +112,7 @@ Option (A). If you install mmpose from source, just run the following command un
python demo/image_demo.py \
tests/data/coco/000000000785.jpg \
td-hm_hrnet-w48_8xb32-210e_coco-256x192.py \
hrnet_w48_coco_256x192-b9e0b3ab_20200708.pth \
td-hm_hrnet-w48_8xb32-210e_coco-256x192-0e67c616_20220913.pth \
--out-file vis_results.jpg \
--draw-heatmap
```
Expand All @@ -130,7 +130,7 @@ from mmpose.utils import register_all_modules
register_all_modules()

config_file = 'td-hm_hrnet-w48_8xb32-210e_coco-256x192.py'
checkpoint_file = 'hrnet_w48_coco_256x192-b9e0b3ab_20200708.pth'
checkpoint_file = 'td-hm_hrnet-w48_8xb32-210e_coco-256x192-0e67c616_20220913.pth'
model = init_model(config_file, checkpoint_file, device='cpu') # or device='cuda:0'

# please prepare an image with person
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6 changes: 3 additions & 3 deletions docs/zh_cn/installation.md
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Original file line number Diff line number Diff line change
Expand Up @@ -101,7 +101,7 @@ mim install "mmpose>=1.1.0"
mim download mmpose --config td-hm_hrnet-w48_8xb32-210e_coco-256x192 --dest .
```

下载过程往往需要几秒或更多的时间，这取决于您的网络环境。完成之后，您会在当前目录下找到这两个文件：`td-hm_hrnet-w48_8xb32-210e_coco-256x192.py` 和 `hrnet_w48_coco_256x192-b9e0b3ab_20200708.pth`, 分别是配置文件和对应的模型权重文件。
下载过程往往需要几秒或更多的时间，这取决于您的网络环境。完成之后，您会在当前目录下找到这两个文件：`td-hm_hrnet-w48_8xb32-210e_coco-256x192.py` 和 `td-hm_hrnet-w48_8xb32-210e_coco-256x192-0e67c616_20220913.pth`, 分别是配置文件和对应的模型权重文件。

**第 2 步** 验证推理示例

Expand All @@ -111,7 +111,7 @@ mim download mmpose --config td-hm_hrnet-w48_8xb32-210e_coco-256x192 --dest .
python demo/image_demo.py \
tests/data/coco/000000000785.jpg \
td-hm_hrnet-w48_8xb32-210e_coco-256x192.py \
hrnet_w48_coco_256x192-b9e0b3ab_20200708.pth \
td-hm_hrnet-w48_8xb32-210e_coco-256x192-0e67c616_20220913.pth \
--out-file vis_results.jpg \
--draw-heatmap
```
Expand All @@ -131,7 +131,7 @@ from mmpose.utils import register_all_modules
register_all_modules()

config_file = 'td-hm_hrnet-w48_8xb32-210e_coco-256x192.py'
checkpoint_file = 'hrnet_w48_coco_256x192-b9e0b3ab_20200708.pth'
checkpoint_file = 'td-hm_hrnet-w48_8xb32-210e_coco-256x192-0e67c616_20220913.pth'
model = init_model(config_file, checkpoint_file, device='cpu') # or device='cuda:0'

# 请准备好一张带有人体的图片
Expand Down