Update README.md

contrib/HumanSeg/README.md

@@ -18,9 +18,9 @@ $ pip install -r requirements.txt
 HumanSeg开放了在大规模人像数据上训练的三个预训练模型，满足多种使用场景的需求
 | 模型类型 | Checkpoint | Inference Model | Quant Inference Model | 备注 |
 | --- | --- | --- | --- | --- |
-| HumanSeg-server | [humanseg_server_ckpt](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_server.zip) | [humanseg_server_infernce](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_server_export.zip) | -- | 高精度模型，适用于服务端GPU且背景复杂的人像场景  |
-| HumanSeg-mobile | [humanseg_mobile](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_mobile.zip) | [humanseg_mobile_infernce](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_mobile_export.zip) | [humanseg_mobile_quant](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_mobile_quant.zip) | 轻量级模型, 适用于移动端或服务端CPU的前置摄像头场景 |
-| HumanSeg-lite | [humanseg_lite](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_lite.zip) | [humanseg_lite_infernce](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_lite_export.zip) |  [humanseg_lite_quant](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_lite_quant.zip) | 超轻量级模型, 适用于手机自拍人像，且有移动端实时分割场景 |
+| HumanSeg-server | [humanseg_server_ckpt](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_server.zip) | [humanseg_server_export](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_server_export.zip) | -- | 高精度模型，适用于服务端GPU且背景复杂的人像场景  |
+| HumanSeg-mobile | [humanseg_mobile_ckpt](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_mobile.zip) | [humanseg_mobile_export](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_mobile_export.zip) | [humanseg_mobile_quant](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_mobile_quant.zip) | 轻量级模型, 适用于移动端或服务端CPU的前置摄像头场景 |
+| HumanSeg-lite | [humanseg_lite](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_lite.zip) | [humanseg_lite_export](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_lite_export.zip) |  [humanseg_lite_quant](https://paddleseg.bj.bcebos.com/humanseg/models/humanseg_lite_quant.zip) | 超轻量级模型, 适用于手机自拍人像，且有移动端实时分割场景 |
 
 **NOTE:**
 其中Checkpoint为模型权重，用于Fine-tuning场景。
@@ -41,7 +41,7 @@ python pretrained_weights/download_pretrained_weights.py
 python data/download_data.py
 ```
 
-## 视频流分割快速体验
+## 快速体验视频流人像分割
 ```bash
 # 通过电脑摄像头进行实时分割处理
 python video_infer.py --model_dir pretrained_weights/humanseg_lite_epxort