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[Doc][Fix]Refine train, predict and evaluate docs for release 2.7 #2780

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Nov 29, 2022
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juncaipeng committed Nov 29, 2022
commit b829db053a38d56d62c96f4c9fb0d7804d2221a9
9 changes: 1 addition & 8 deletions docs/model_zoo_overview.md
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Expand Up @@ -4,16 +4,9 @@ English | [简体中文](model_zoo_overview_cn.md)

## Semantic Segmentation Model Zoo

目前,PaddleSeg提供了40+语义分割模型、150+预训练模型、10+骨干网络。

在[`PaddleSeg/configs`](../configs)目录下,我们给出了所有模型在公开数据集上的配置文件和README文件,比如[PP-LiteSeg模型](../configs/pp_liteseg/)。
其中,README文件介绍了模型论文和训练精度,而且给出了公开数据集上训练的权重,可以直接下载进行测试。

如下我们列出了部分模型。

PaddleSeg provides 40+ semantic segmentation models, 150+ well-trained models, 10+ backbones.

In `PaddleSeg/configs`, we provide the config files and readme.md for all models on common dataset, e.g., [PP-LiteSeg](../configs/pp_liteseg/).
In [`PaddleSeg/configs`](../configs), we provide the config files and readme.md for all models on common dataset, e.g., [PP-LiteSeg](../configs/pp_liteseg/).
Besides, the readme.md file introduces the origin paper, the performance and the trained weights.

Some common models are as follows.
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1 change: 1 addition & 0 deletions docs/model_zoo_overview_cn.md
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Expand Up @@ -7,6 +7,7 @@
目前,PaddleSeg提供了40+语义分割模型、150+预训练模型、10+骨干网络。

在[`PaddleSeg/configs`](../configs)目录下,我们给出了所有模型在公开数据集上的配置文件和README文件,比如[PP-LiteSeg模型](../configs/pp_liteseg/)。

其中,README文件介绍了模型论文和训练精度,而且给出了公开数据集上训练的权重,可以直接下载进行测试。

如下我们列出了部分模型。
Expand Down