docs: change to pip install -v -e .

docs/en/PPShiTu/PPShiTuV2_introduction.md

@@ -80,7 +80,7 @@ Open the installed APP, click the "**file recognition**" button below, select th
   cd PaddleClas
 
   # install paddleclas
-  python3.7 setup.py install
+  pip install -v -e .
   ```
 
 - Then execute the following command to download and decompress the demo data, and finally execute command to quick start image recognition

docs/en/advanced_tutorials/model_prune_quantization_en.md

@@ -55,7 +55,7 @@ pip install paddleslim -i https://pypi.tuna.tsinghua.edu.cn/simple
 ```
 git clone https://github.com/PaddlePaddle/PaddleSlim.git
 cd Paddleslim
-python3.7 setup.py install
+pip install -v -e .
 ```
 
 <a name="1.2"></a>

docs/en/inference_deployment/whl_deploy_en.md

@@ -34,7 +34,7 @@ pip3 install paddleclas
 * Please build and install locally if you need to use the develop branch of PaddleClas to experience the latest functions, or need to redevelop based on PaddleClas. The command is as follows:
 
 ```bash
-python3 setup.py install
+pip install -v -e .
 ```
 
 <a name="2"></a>

docs/en/installation.md

@@ -140,5 +140,5 @@ pip install paddleclas
 * Please build and install locally if you need to use the develop branch of PaddleClas to experience the latest functions, or need to redevelop based on PaddleClas. The command is as follows:
 
 ```shell
-python setup.py install
+pip install -v -e .
 ```

docs/zh_CN/deployment/PP-ShiTu/paddle_lite.md

@@ -245,7 +245,7 @@ cp general_PPLCNetV2_base_pretrained_v1.0_infer/rec.nb deploy/lite_shitu/models/
 # 进入PaddleClas根目录
 cd $PaddleClas
 # 安装PaddleClas
-python setup.py install
+pip install -v -e .
 cd deploy
 # 下载瓶装饮料数据集
 wget https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/rec/data/drink_dataset_v2.0.tar && tar -xf drink_dataset_v2.0.tar

docs/zh_CN/deployment/PP-ShiTu/whl.md

@@ -20,7 +20,7 @@ pip3 install paddleclas
 * 如需使用 PaddleClas develop 分支体验最新功能，或是需要基于 PaddleClas 进行二次开发，请本地构建安装：
 
 ```bash
-python3 setup.py install
+pip install -v -e .
 ```
 
 <a name="2"></a>

docs/zh_CN/deployment/image_classification/whl.md

@@ -32,7 +32,7 @@ pip3 install paddleclas
 * 如需使用 PaddleClas develop 分支体验最新功能，或是需要基于 PaddleClas 进行二次开发，请本地构建安装：
 
 ```bash
-python3 setup.py install
+pip install -v -e .
 ```
 
 <a name="2"></a>

docs/zh_CN/installation.md

@@ -107,7 +107,7 @@ pip install paddleclas
 * 如需使用 PaddleClas develop 分支体验最新功能，或是需要基于 PaddleClas 进行二次开发，请本地构建安装，命令如下：
 
 ```shell
-python setup.py install
+pip install -v -e .
 ```
 
 <a name='2'></a>

docs/zh_CN/models/PP-ShiTu/README.md

@@ -85,7 +85,7 @@ PP-ShiTuV2 是基于 PP-ShiTuV1 改进的一个实用轻量级通用图像识别
   cd PaddleClas
 
   # 安装paddleclas
-  python3.7 setup.py install
+  pip install -v -e .
   ```
 
 - 然后执行以下命令下载并解压好demo数据，最后执行命令体验索引库构建和图像识别

docs/zh_CN/models/practical_models/CLIP_large_patch14_224_aesthetic.md

@@ -64,7 +64,7 @@ python3 -m pip uninstall paddleclas
 
 ```
 cd path/to/PaddleClas
-python3 setup.py install
+pip install -v -e .
 ```
 
 <a name="3"></a>

docs/zh_CN/models/practical_models/EfficientNetB3_watermark.md

@@ -54,7 +54,7 @@ python3 -m pip install paddlepaddle -i https://mirror.baidu.com/pypi/simple
 ```
 cd path/to/PaddleClas
 #使用下面的命令构建
-python3 setup.py install
+pip install -v -e .
 ```
 
 <a name="3"></a>

docs/zh_CN/quick_start/quick_start_recognition.md

@@ -93,7 +93,7 @@ pip3 install paddleclas
 * 如需使用 PaddleClas develop 分支体验最新功能，或是需要基于 PaddleClas 进行二次开发，请本地构建安装：
 
 ```bash
-python3 setup.py install
+pip install -v -e .
 ```
 
 <a name="图像识别体验"></a>

docs/zh_CN/training/advanced/prune_quantization.md

@@ -55,7 +55,7 @@ pip install paddleslim -i https://pypi.tuna.tsinghua.edu.cn/simple
 ```bash
 git clone https://github.com/PaddlePaddle/PaddleSlim.git
 cd Paddleslim
-python3.7 setup.py install
+pip install -v -e .
 ```
 
 <a name="1.2"></a>