[Docs] Fix TOC of `visualization.md` and add example images. (#513)

docs/tools/visualization.md

@@ -4,13 +4,11 @@
 
 - [Visualization](#visualization)
   - [Pipeline Visualization](#pipeline-visualization)
-    - [Usage](#usage)
+  - [Learning Rate Schedule Visualization](#learning-rate-schedule-visualization)
   - [FAQs](#faqs)
 
 <!-- TOC -->
-## pipeline visualization
-
-### Usage
+## Pipeline Visualization
 
 ```bash
 python tools/visualizations/vis_pipeline.py \
@@ -58,7 +56,7 @@ python tools/visualizations/vis_pipeline.py \
 python ./tools/visualizations/vis_pipeline.py ./configs/resnet/resnet50_b32x8_imagenet.py --show --mode pipeline
 ```
 
-<div align=center><img src="../_static/image/pipeline.JPEG" style=" width: auto; height: 40%; "></div>
+<div align=center><img src="../_static/image/tools/visualization/pipeline-pipeline.jpg" style=" width: auto; height: 40%; "></div>
 
 2. Visualize 10 comparison pictures in the `ImageNet` train set and save them in the `./tmp` folder：
 
@@ -66,7 +64,7 @@ python ./tools/visualizations/vis_pipeline.py ./configs/resnet/resnet50_b32x8_im
 python ./tools/visualizations/vis_pipeline.py configs/swin_transformer/swin_base_224_b16x64_300e_imagenet.py --phase train --output-dir tmp --number 10 --adaptive
 ```
 
-<div align=center><img src="../_static/image/concat.JPEG" style=" width: auto; height: 40%; "></div>
+<div align=center><img src="../_static/image/tools/visualization/pipeline-concat.jpg" style=" width: auto; height: 40%; "></div>
 
 3. Visualize 100 original pictures in the `CIFAR100` validation set, then display and save them in the `./tmp` folder：
 
@@ -74,11 +72,9 @@ python ./tools/visualizations/vis_pipeline.py configs/swin_transformer/swin_base
 python ./tools/visualizations/vis_pipeline.py configs/resnet/resnet50_b16x8_cifar100.py --phase val --output-dir tmp --mode original --number 100  --show --adaptive --bgr2rgb
 ```
 
-<div align=center><img src="../_static/image/original.JPEG" style=" width: auto; height: 40%; "></div>
+<div align=center><img src="../_static/image/tools/visualization/pipeline-original.jpg" style=" width: auto; height: 40%; "></div>
 
-## lr schedule visualization
-
-### Usage
+## Learning Rate Schedule Visualization
 
 ```bash
 python tools/visualizations/vis_lr.py \
@@ -113,12 +109,16 @@ Loading annotations maybe consume much time, you can directly specify the size o
 python tools/visualizations/vis_lr.py configs/resnet/resnet50_b16x8_cifar100.py
 ```
 
+<div align=center><img src="../_static/image/tools/visualization/lr_schedule1.png" style=" width: auto; height: 40%; "></div>
+
 When using ImageNet, directly specify the size of ImageNet, as below:
 
 ```bash
 python tools/visualizations/vis_lr.py configs/repvgg/repvgg-B3g4_4xb64-autoaug-lbs-mixup-coslr-200e_in1k.py --dataset-size 1281167 --ngpus 4 --save-path ./repvgg-B3g4_4xb64-lr.jpg
 ```
 
+<div align=center><img src="../_static/image/tools/visualization/lr_schedule2.png" style=" width: auto; height: 40%; "></div>
+
 ## FAQs
 
 - None

docs_zh-CN/tools/visualization.md

@@ -4,15 +4,13 @@
 
 - [可视化](#可视化)
   - [数据流水线可视化](#数据流水线可视化)
-    - [使用方法](#使用方法)
+  - [学习率策略可视化](#学习率策略可视化)
   - [常见问题](#常见问题)
 
 <!-- TOC -->
 
 ## 数据流水线可视化
 
-### 使用方法
-
 ```bash
 python tools/visualizations/vis_pipeline.py \
     ${CONFIG_FILE} \
@@ -59,7 +57,7 @@ python tools/visualizations/vis_pipeline.py \
 python ./tools/visualizations/vis_pipeline.py ./configs/resnet/resnet50_b32x8_imagenet.py --show --mode pipeline
 ```
 
-<div align=center><img src="../_static/image/pipeline.JPEG" style=" width: auto; height: 40%; "></div>
+<div align=center><img src="../_static/image/tools/visualization/pipeline-pipeline.jpg" style=" width: auto; height: 40%; "></div>
 
 2. 可视化 `ImageNet` 训练集的10张原始图片与预处理后图片对比图，保存在 `./tmp` 文件夹下：
 
@@ -67,7 +65,7 @@ python ./tools/visualizations/vis_pipeline.py ./configs/resnet/resnet50_b32x8_im
 python ./tools/visualizations/vis_pipeline.py configs/swin_transformer/swin_base_224_b16x64_300e_imagenet.py --phase train --output-dir tmp --number 10 --adaptive
 ```
 
-<div align=center><img src="../_static/image/concat.JPEG" style=" width: auto; height: 40%; "></div>
+<div align=center><img src="../_static/image/tools/visualization/pipeline-concat.jpg" style=" width: auto; height: 40%; "></div>
 
 3. 可视化 `CIFAR100` 验证集中的100张原始图片，显示并保存在 `./tmp` 文件夹下：
 
@@ -75,12 +73,10 @@ python ./tools/visualizations/vis_pipeline.py configs/swin_transformer/swin_base
 python ./tools/visualizations/vis_pipeline.py configs/resnet/resnet50_b16x8_cifar100.py --phase val --output-dir tmp --mode original --number 100 --show --adaptive --bgr2rgb
 ```
 
-<div align=center><img src="../_static/image/original.JPEG" style=" width: auto; height: 40%; "></div>
+<div align=center><img src="../_static/image/tools/visualization/pipeline-original.jpg" style=" width: auto; height: 40%; "></div>
 
 ## 学习率策略可视化
 
-### 使用方法
-
 ```bash
 python tools/visualizations/vis_lr.py \
     ${CONFIG_FILE} \
@@ -102,7 +98,7 @@ python tools/visualizations/vis_lr.py \
 - `title` : 可视化图片的标题，默认为配置文件名。
 - `style` : 可视化图片的风格，默认为 `whitegrid`。
 - `window-size`: 可视化窗口大小，如果没有指定，默认为 `12*7`。如果需要指定，按照格式 `'W*H'`。
-- `cfg-options` : 对配置文件的修改，参考[教程 1：如何编写配置文件](https://mmclassification.readthedocs.io/zh_CN/latest/tutorials/config.html。
+- `cfg-options` : 对配置文件的修改，参考[教程 1：如何编写配置文件](https://mmclassification.readthedocs.io/zh_CN/latest/tutorials/config.html)。
 
 ```{note}
 
@@ -116,12 +112,16 @@ python tools/visualizations/vis_lr.py \
 python tools/visualizations/vis_lr.py configs/resnet/resnet50_b16x8_cifar100.py
 ```
 
+<div align=center><img src="../_static/image/tools/visualization/lr_schedule1.png" style=" width: auto; height: 40%; "></div>
+
 当数据集为 ImageNet 时，通过直接指定数据集大小来节约时间，并保存图片：
 
 ```bash
 python tools/visualizations/vis_lr.py configs/repvgg/repvgg-B3g4_4xb64-autoaug-lbs-mixup-coslr-200e_in1k.py --dataset-size 1281167 --ngpus 4 --save-path ./repvgg-B3g4_4xb64-lr.jpg
 ```
 
+<div align=center><img src="../_static/image/tools/visualization/lr_schedule2.png" style=" width: auto; height: 40%; "></div>
+
 ## 常见问题
 
 - 无