Modules README CN to EN (#2027)

* CN to EN

* CN to EN

* fix typo

* EN

docs/docs_en/get_start/linux_quickstart.md

+# Zero base Linux installation and image style transfer
+
+## Step 1: Install Anaconda
+
+- Note: To use paddlepaddle, you need to install the Python environment first. Here we choose the Python integrated environment Anaconda toolkit.
+  - Anaconda is a commonly used python package management program.
+  - After installing Anaconda, you can install the python environment and the toolkit environment required by numpy.
+  
+- **Download Anaconda**：
+  
+  - Download address: https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/?C=M&O=D
+    - <img src="../../imgs/Install_Related/linux/anaconda_download.png" akt="anaconda download" width="800" align="center"/>
+    - Select the version appropriate for your operating system
+      - You can enter `uname -m` at the terminal to query the instruction set used by the system
+    
+  - Download method 1: Download locally, and then transfer the installation package to the Linux server
+  
+  - Download method 2: directly use the Linux command line to download
+  
+    - ```shell
+      # Install wget first
+      sudo apt-get install wget  # Ubuntu
+      sudo yum install wget  # CentOS
+      ```
+  
+    - ```shell
+      # Then use wget to download from Tsinghua Source
+      # To download Anaconda3-2021.05-Linux-x86_64.sh, the download command is as follows:
+      wget https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/Anaconda3-2021.05-Linux-x86_64.sh
+      
+      # If you want to download other versions, you need to change the last/last file name to the version you want to download
+      ```
+  
+- To install Anaconda:
+
+  - At the command line, enter `sh Anaconda3-2021.05-Linux-x86_64.sh`
+    - If you download another version, replace the file name of the command with the file name you downloaded
+  - Just follow the installation prompts
+    - When viewing the license, you can enter q to exit
+  
+- **Add conda to the environment variable**
+
+  - The environment variable is added to enable the system to recognize the conda command. If you have added conda to the environment variable path during installation, you can skip this step
+
+  - Open `~/.bashrc` in the terminal:
+
+    - ```shell
+      # Enter the following command in the terminal:
+      vim ~/.bashrc
+      ```
+
+  - Add conda as an environment variable in `~/.bashrc`:
+
+    - ```shell
+      # Press i first to enter editing mode
+      # On the first line, enter:
+      export PATH="~/anaconda3/bin:$PATH"
+      # If the installation location is customized during installation, change ~/anaconda3/bin to the bin folder under the customized installation directory
+      ```
+
+    - ```shell
+      # Modified ~/.bash_profile file should be as follows (where xxx is the user name):：
+      export PATH="~/opt/anaconda3/bin:$PATH"
+      # >>> conda initialize >>>
+      # !! Contents within this block are managed by 'conda init' !!
+      __conda_setup="$('/Users/xxx/opt/anaconda3/bin/conda' 'shell.bash' 'hook' 2> /dev/null)"
+      if [ $? -eq 0 ]; then
+          eval "$__conda_setup"
+      else
+          if [ -f "/Users/xxx/opt/anaconda3/etc/profile.d/conda.sh" ]; then
+              . "/Users/xxx/opt/anaconda3/etc/profile.d/conda.sh"
+          else
+              export PATH="/Users/xxx/opt/anaconda3/bin:$PATH"
+          fi
+      fi
+      unset __conda_setup
+      # <<< conda initialize <<<
+      ```
+
+    - After modification, press the `esc` key to exit editing mode, and then enter `:wq!` And enter to save the exit
+
+  - Verify that the conda command is recognized:
+
+    - Enter `source ~/.bash_profile` in the terminal to update environment variables
+    - Then enter `conda info --envs` on the terminal. If the current base environment can be displayed, conda has added an environment variable
+
+## Step 2: Create a conda environment
+
+- Create a new conda environment
+
+  - ```shell
+    # On the command line, enter the following command to create a file named  paddle_env environment
+    # This is for accelerated download, use Tsinghua Source
+    conda create --name paddle_env python=3.8 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
+    ```
+
+  - This command will create an executable environment named paddle_env with Python version 3.8. It will take a while depending on the network status
+
+  - Then the command line will output a prompt message, enter y and press Enter to continue the installation
+
+    - <img src="../../imgs/Install_Related/linux/conda_create.png" alt="conda_create" width="500" align="center"/>
+
+- Activate the newly created conda environment, and enter the following command on the command line:
+
+  - ```shell
+    # Activate paddle_env environment
+    conda activate paddle_env
+    ```
+    
+  - The above anaconda environment and python environment have been installed
+
+## Step 3: Install the libraries required by the program
+
+- Use the pip command to install the paddle in the newly activated environment:
+
+  - ```shell
+    # On the command line, enter the following command:
+    # The CPU version is installed by default. Baidu Source is recommended when installing the paddlepaddle
+    pip install paddlepaddle -i https://mirror.baidu.com/pypi/simple
+    ```
+  
+- After installing the PaddlePaddle, continue to install the paddlehub in the paddle_env environment:
+
+  - ```shell
+    # On the command line, enter the following command:
+    pip install paddlehub -i https://mirror.baidu.com/pypi/simple
+    ```
+
+  - Introduction document of paddlehub: https://github.com/PaddlePaddle/PaddleHub/blob/develop/README.md
+  
+  - When installing the paddlehub, other dependent libraries will be installed automatically, which may take a while
+
+## Step 4: Install the paddlehub and download the model
+
+- After installing the paddlehub, download the style migration model:
+
+  - ```shell
+    # Enter the following command on the command line
+    hub install stylepro_artistic==1.0.1
+    ```
+
+  - Description document of the model: [https://www.paddlepaddle.org.cn/hubsearch?filter=en_category&value=%7B%22scenes%22%3A%5B%22GANs%22%5D%7D](https://www.paddlepaddle.org.cn/hubsearch?filter=en_category&value={"scenes"%3A["GANs"]})
+
+  - <img src="../../imgs/Install_Related/linux/hub_model_intro.png" alt="hub model intro" width="800" align="center"/>
+
+## Step 5: Prepare the style to migrate data and code
+
+### Prepare style migration data
+
+- Create Working Directory `style_transfer` under User Directory `~`
+
+  - ```shell
+    # Enter the following command in the terminal:
+    cd ~  # Enter the user directory
+    mkdir style_transfer  # Create style_transfer folder
+    cd style_transfer  # Enter style_transfer directory
+    ```
+
+- Place pictures to be converted and style pictures respectively:
+
+  - Place the picture to be converted to `~/style_transfer/pic.jpg`
+    - <img src="../../imgs/Install_Related/linux/pic.jpg" alt="pic.jpg" width="400" align="center"/>
+  - Place style picture to `~/style_transfer/fangao.jpg`
+    - <img src="../../imgs/Install_Related/linux/fangao.jpg" alt="fangao.jpg" width="350" align="center"/>
+
+### Code
+
+- Create code file:
+
+  - ```shell
+    # The following commands are executed on the command line
+    $ pwd # Check whether the current directory is style_transfer， if not, enter: cd ~/style_transfer
+    $ touch style_transfer.py  # Create an empty file
+    $ vim style_transfer.py  # Open code file with vim editor
+    # Enter i first to enter editing mode
+    # Copy the code into the vim editor
+    # Press esc key to exit editing mode, then enter ": wq" and enter Enter to save and exit
+    ```
+    
+  - ```python
+    # Code
+    import paddlehub as hub
+    import cv2
+    
+    # Relative address of the picture to be converted
+    picture = './pic.jpg'
+    # Relative address of style picture
+    style_image = './fangao.jpg'
+    
+    # Create a style transfer network and load parameters
+    stylepro_artistic = hub.Module(name="stylepro_artistic")
+    
+    # Read in pictures and start style conversion
+    result = stylepro_artistic.style_transfer(
+                        images=[{'content': cv2.imread(picture),
+                                 'styles': [cv2.imread(style_image)]}],
+                        visualization=True
+    )
+    ```
+
+- Running code:
+
+  - On the command line, enter `python style_transfer.py`
+  - When the program executes, a new folder `transfer_result` will be created, and save the converted file to this directory
+  - The output pictures are as follows:
+    - <img src="../../imgs/Install_Related/linux/output_img.png" alt="output image" width="600" align="center"/>
+
+## Step 6: Explore the pre training model of flying oars
+- Congratulations, the installation and introduction cases of PaddleHub in the Linux environment will be completed here. Start your more in-depth learning model exploration journey quickly.[【More model exploration, jump to the official website of PaddlePaddle】](https://www.paddlepaddle.org.cn/hublist)
+

docs/docs_en/get_start/mac_quickstart.md

+# Zero base mac installation and image style transfer
+
+## Step 1: Install Anaconda
+
+- Note: To use paddlepaddle, you need to install the Python environment first. Here we choose the Python integrated environment Anaconda toolkit
+  - Anaconda is a commonly used python package management program
+  - After installing Anaconda, you can install the python environment and the toolkit environment required by numpy
+- Anaconda Download:
+  - Link: https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/?C=M&O=D
+  - <img src="../../imgs/Install_Related/mac/anaconda_start.png" alt="anaconda download" width="800" align="center"/>
+  - Select the lowest `Anaconda3-2021.05-MacOSX-x86_64.pkg` download
+- After downloading, double click the. pkg file to enter the graphical interface
+  - By default, the installation will take a while
+- It is recommended to install a code editor such as vscode or pycharm
+
+## Step 2: Open the terminal and create a conda environment
+
+- Open terminal
+
+  - Press the command key and the space bar at the same time, enter "terminal" in the focus search, and double-click to enter the terminal
+
+- **Add conda to the environment variable**
+
+  - The environment variable is added to enable the system to recognize the conda command
+
+  - Enter the following command to open `~/.bash_profile`：
+
+    - ```shell
+      vim ~/.bash_profile
+      ```
+
+  - In `~/.bash_profile` add conda as an environment variable:
+
+    - ```shell
+      # Press i first to enter editing mode
+      # On the first line, enter:
+      export PATH="~/opt/anaconda3/bin:$PATH"
+      # If the installation location is customized during installation, change ~/opt/anaconda3/bin to the bin folder under the customized installation directory
+      ```
+
+    - ```shell
+      # Modified ~/.bash_profile file should be as follows (where xxx is the user name):
+      export PATH="~/opt/anaconda3/bin:$PATH"
+      # >>> conda initialize >>>
+      # !! Contents within this block are managed by 'conda init' !!
+      __conda_setup="$('/Users/xxx/opt/anaconda3/bin/conda' 'shell.bash' 'hook' 2> /dev/null)"
+      if [ $? -eq 0 ]; then
+          eval "$__conda_setup"
+      else
+          if [ -f "/Users/xxx/opt/anaconda3/etc/profile.d/conda.sh" ]; then
+              . "/Users/xxx/opt/anaconda3/etc/profile.d/conda.sh"
+          else
+              export PATH="/Users/xxx/opt/anaconda3/bin:$PATH"
+          fi
+      fi
+      unset __conda_setup
+      # <<< conda initialize <<<
+      ```
+
+    - After modification, press the `esc` key to exit editing mode, and then enter `:wq!` And enter to save the exit
+
+  - Verify that the conda command is recognized:
+
+    - Enter `source ~/.bash_profile` to update environment variables
+    - Then enter `conda info --envs` on the terminal. If the current base environment can be displayed, conda has added an environment variable
+
+- Create a new conda environment
+
+  - ```shell
+    # On the command line, enter the following command to create a file named paddle_env environment
+    # This is for accelerated download, use Tsinghua source
+    conda create --name paddle_env python=3.8 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
+    ```
+
+  - This command will create an executable environment named paddle_env with Python version 3.8. It will take a while depending on the network status
+
+  - Then the command line will output a prompt message, enter y and press Enter to continue the installation
+
+    - <img src="../../imgs/Install_Related/mac/conda_create.png" alt="conda_create" width="600" align="center"/>
+
+- Activate the newly created conda environment, and enter the following command on the command line:
+
+  - ```shell
+    # Activate paddle_env environment
+    conda activate paddle_env
+    # View the current python location
+    where python
+    ```
+
+  - <img src="../../imgs/Install_Related/mac/conda_activate.png" alt="conda_actviate" width="600" align="center"/>
+
+  - The above anaconda environment and python environment have been installed
+
+## Step 3: Install the libraries required by the program
+
+- Use the pip command to install the pad in the newly activated environment:
+
+  - ```shell
+    # Enter the following command on the command line
+    # Confirm whether the currently used pip is the pip in the paddle_env environment
+    where pip
+    # The CPU version is installed by default. Baidu Source is recommended when installing the PaddlePaddle
+    pip install paddlepaddle -i https://mirror.baidu.com/pypi/simple
+    ```
+
+- After installing Paddle, continue to install the PaddleHub in the paddle_env environment:
+
+  - ```shell
+    # Enter the following command on the command line
+    pip install paddlehub -i https://mirror.baidu.com/pypi/simple
+    ```
+
+  - Introduction document of paddlehub: https://github.com/PaddlePaddle/PaddleHub/blob/develop/README.md
+  
+  - When installing the paddlehub, other dependent libraries will be installed automatically, which may take a while
+
+## Step 4: Install the paddlehub and download the model
+
+- After installing the PaddleHub, download the style migration model:
+
+  - ```shell
+    # Enter the following command on the command line
+    hub install stylepro_artistic==1.0.1
+    ```
+
+  - Description document of the model: [https://www.paddlepaddle.org.cn/hubsearch?filter=en_category&value=%7B%22scenes%22%3A%5B%22GANs%22%5D%7D](https://www.paddlepaddle.org.cn/hubsearch?filter=en_category&value={"scenes"%3A["GANs"]})
+
+  - <img src="../../imgs/Install_Related/mac/hub_model_intro.png" alt="hub model intro" width="800" align="center"/>
+
+## Step 5: Prepare the style to migrate data and code
+
+### Prepare style migration data
+
+- Create Working Directory `style_transfer` on Desktop 
+
+  - ```shell
+    # Enter the following command in the terminal:
+    cd ~/Desktop  # Enter the desktop
+    mkdir style_transfer  # Create style_transfer folder
+    cd style_transfer  # Enter style_transfer directory
+    ```
+
+- Place pictures to be converted and style pictures respectively:
+
+  - Place the picture to be converted on the desktop  `style_transfer/pic.jpg`
+    - <img src="../../imgs/Install_Related/mac/pic.jpg" alt="pic.jpg" width="400" align="center"/>
+  - Place Style Picture on Desktop `style_transfer/fangao.jpg`
+    - <img src="../../imgs/Install_Related/mac/fangao.jpg" alt="fangao.jpg" width="350" align="center"/>
+
+### 代码
+
+- In `style_transfer` create code file `style_transfer.py`
+
+- Copy the following code into `style_transfer.py`
+
+  - ```python
+    import paddlehub as hub
+    import cv2
+    
+    # Relative address of the picture to be converted
+    picture = './pic.jpg'
+    # Relative address of style picture
+    style_image = './fangao.jpg'
+    
+    # Create a style transfer network and load parameters
+    stylepro_artistic = hub.Module(name="stylepro_artistic")
+    
+    # Read in pictures and start style conversion
+    result = stylepro_artistic.style_transfer(
+                        images=[{'content': cv2.imread(picture),
+                                 'styles': [cv2.imread(style_image)]}],
+                        visualization=True
+    )
+    ```
+
+- If there is no code editor such as vscode, you can use the command line method:
+
+  - ```shell
+    pwd # Check whether the current directory is style_transfer， if not, enter: cd ~/Desktop/style_transfer
+    touch style_transfer.py  # Create an empty file
+    vim style_transfer.py  #  Open code file with vim editor
+    # Enter i first to enter editing mode
+    # Copy the above code into the vim editor
+    # Press esc key to exit editing mode, then enter ": wq" and enter Enter to save and exit
+    ```
+
+- Running code:
+
+  - On the command line, enter `python style_transfer.py`
+  - When the program executes, a new folder `transfer_result` will be created, and save the converted file to this directory
+  - The output pictures are as follows:
+    - <img src="../../imgs/Install_Related/mac/output_img.png" alt="output image" width="600" align="center"/>
+
+## Step 6: Explore the pre training model of flying oars
+- Congratulations, the installation and introduction cases of PaddleHub in the Mac environment will be completed here. Start your more in-depth learning model exploration journey quickly.[【More model exploration, jump to the official website of PaddlePaddle】](https://www.paddlepaddle.org.cn/hublist)
+
+
+
+

docs/docs_en/get_start/windows_quickstart.md

+# Zero base Windows installation and image style transfer
+
+## Step 1: Install Anaconda
+
+- Note: To use paddlepaddle, you need to install the Python environment first. Here we choose the Python integrated environment Anaconda toolkit
+  - Anaconda is a commonly used python package management program
+  - After installing Anaconda, you can install the python environment and the toolkit environment required by numpy.
+- Anaconda Download:
+  - Link: https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/?C=M&O=D
+  - Most win10 computers are 64 bit operating systems, choose x86_64 version; If the computer is a 32-bit operating system, select x86.exe
+  - <img src="../../imgs/Install_Related/windows/Anaconda_download.png" alt="anaconda download" width="800" align="center"/>
+  - After downloading, double click the installer to enter the graphical interface
+  - The default installation location is Disk C, and it is recommended to change the installation location to Disk D:
+    - <img src="../../imgs/Install_Related/windows/anaconda_install_folder.png" alt="install config" width="500" align="center"/>
+  - Check conda to add environment variables, and ignore the warning:
+    - <img src="../../imgs/Install_Related/windows/anaconda_install_env.png" alt="add conda to path" width="500" align="center"/>
+
+## Step 2: Open the terminal and create a conda environment
+
+- Open Anaconda Prompt terminal
+  - Windows Start Menu -> Anaconda3 -> Anaconda Prompt
+  - <img src="../../imgs/Install_Related/windows/anaconda_prompt.png" alt="anaconda download" width="300" align="center"/>
+
+
+- Create a new conda environment
+
+  - ```shell
+    # On the command line, enter the following command to create a file named paddle_env Env environment
+    # This is for accelerated download, use Tsinghua Source
+    conda create --name paddle_env python=3.8 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/  # a shell command
+    ```
+
+  - This command will create an executable environment named paddle_env with Python version 3.8. It will take a while depending on the network status
+
+  - Then the command line will output a prompt message, enter y and press Enter to continue the installation
+
+  - <img src="../../imgs/Install_Related/windows/conda_new_env.png" alt="conda create" width="700" align="center"/>
+
+- Activate the newly created conda environment, and enter the following command on the command line:
+
+  - ```shell
+    # Activate paddle_env environment
+    conda activate paddle_env
+    # View the current python location
+    where python
+    ```
+
+  - <img src="../../imgs/Install_Related/windows/conda_list_env.png" alt="create environment" width="600" align="center"/>
+
+  - The above anaconda environment and python environment have been installed
+
+## Step 3: The required libraries for the installer to run
+
+- Use the pip command to install the PaddlePaddle in the environment you just activated
+
+  - ```shell
+    # Enter the following command on the command line
+    # Confirm whether the currently used pip is a pad_ Pip in env environment
+    where pip
+    # The CPU version is installed by default. Baidu Source is recommended when installing the paddle
+    pip install paddlepaddle -i https://mirror.baidu.com/pypi/simple
+    ```
+
+  - If you need to install the GPU version, please open the [paddle official website](https://www.paddlepaddle.org.cn/) select the appropriate version.
+
+    - Paddle official website: https://www.paddlepaddle.org.cn/
+    - Since CUDA and cudnn need to be configured before installing the GPU version, it is recommended to install the GPU version after a certain foundation
+
+- After installing the Paddle, continue to install the paddlehub in the paddle_env environment:
+
+  - ```shell
+    # Enter the following command on the command line
+    pip install paddlehub -i https://mirror.baidu.com/pypi/simple
+    ```
+
+  - Introduction document of paddlehub: https://github.com/PaddlePaddle/PaddleHub/blob/develop/README.md
+
+## Step 4: Install the paddlehub and download the model
+
+- After installing the paddlehub, download the style migration model:
+
+  - ```shell
+    # Enter the following command on the command line
+    hub install stylepro_artistic==1.0.1
+    ```
+
+  - Description document of the model: [https://www.paddlepaddle.org.cn/hubsearch?filter=en_category&value=%7B%22scenes%22%3A%5B%22GANs%22%5D%7D](https://www.paddlepaddle.org.cn/hubsearch?filter=en_category&value={"scenes"%3A["GANs"]})
+
+  - <img src="../../imgs/Install_Related/windows/paddlehub_modulelist.png" alt="model introduction" width="700" align="center"/>
+
+## Step 5: Prepare the style to migrate data and code
+
+### Prepare style migration data
+
+- Switch Working Directory to `D:\style_transfer`, enter the following command on the command line
+
+  - ```shell
+    # Enter the following command on the command line
+    # Switch the current working directory to the root directory of disk D
+    D:
+    # Create style_transfer directory
+    mkdir style_transfer
+    # Switch the current directory to style_transfer directory
+    cd style_transfer
+    ```
+
+- Place pictures to be converted and style pictures respectively
+  - Place the picture to be converted to `D:\style_transfer\pic.jpg`
+    - <img src="../../imgs/Install_Related/windows/pic.jpg" alt="pic.jpg" width="400" align="center"/>
+  - Place Style Picture to `D:\style_transfer\fangao.jpg`
+    - <img src="../../imgs/Install_Related/windows/fangao.jpg" alt="fangao.jpg" width="350" align="center"/>
+
+### Code
+
+- In `D:\style_transfer` create code file `style_transfer.py`
+
+  - If there is no editor such as vscode, you can use Notepad to create a txt file first, and then change the file name to `style_transfer.py`
+
+- Copy the following code into `style_transfer.py`
+
+  - ```python
+    import paddlehub as hub
+    import cv2
+  
+    # The absolute address of the picture to be converted
+    picture = 'D:\\style_transfer\\pic.jpg'  # Note that double backslashes are used in the code
+  
+    # Absolute address of the style picture
+    style_image = 'D:\\style_transfer\\fangao.jpg'
+  
+    # Create a style transfer network and load parameters
+    stylepro_artistic = hub.Module(name="stylepro_artistic")
+  
+    # Read in pictures and start style conversion
+    result = stylepro_artistic.style_transfer(
+                        images=[{'content': cv2.imread(picture),
+                                 'styles': [cv2.imread(style_image)]}],
+                        visualization=True
+    )
+    ```
+
+- Running code:
+
+  - On the command line, enter `python style_transfer.py`
+  - When the program executes, a new folder `transfer_result` will be created, and save the converted file to this directory.
+  - The output picture is as follows:
+    - <img src="../../imgs/Install_Related/windows/after_transfer.png" alt="transferred image" width="600" align="center"/>
+
+## Step 6: Explore the pre training model of flying oars
+- Congratulations, the installation and introduction cases of PaddleHub in the Windows environment will be completed here. Start your more in-depth learning model exploration journey quickly.[【More model exploration, jump to the official website of PaddlePaddle】](https://www.paddlepaddle.org.cn/hublist)
+