📜  pycharm install face_recognition - Shell-Bash (1)
📅  最后修改于: 2023-12-03 15:03:54.267000             🧑  作者: Mango
Pycharm Install face_recognition - Shell/Bash
In this tutorial, we will walk you through the process of installing face_recognition package using Pycharm and Shell/Bash.
Step 1: Install Pycharm
First, you need to download and install the latest version of Pycharm from the official website: https://www.jetbrains.com/pycharm/.
Once you have installed Pycharm, open it and create a new project.
Step 2: Create a New Virtual Environment
Next, you need to create a virtual environment for your project. To do this, follow the steps below:
- Click on the “File” menu and select “Settings”.
- Under the “Project” section, select “Python Interpreter”.
- Click on the plus sign “+” button and select “Add”.
- In the “Add Python Interpreter” window, select “Virtualenv Environment” and then click “OK”.
- In the next window, select the “New environment” option and give your environment a name.
- Click on “OK” to create the virtual environment.
Step 3: Install face_recognition using Shell/Bash
Now we will use Shell/Bash to install face_recognition package. Follow the steps below:
- Open the terminal inside Pycharm by clicking on the “Terminal” button located at the bottom of the screen.
- In the terminal, enter the following command to install face_recognition:
pip install face_recognition
- Wait for the installation to complete.
Step 4: Test the Installation
To test if the installation was successful, follow the steps below:
- Create a new Python file in your Pycharm project.
- Import the face_recognition module:
import face_recognition
- Use the face_recognition module to load an image and find faces in the image:
image = face_recognition.load_image_file("path/to/image.jpg")
face_locations = face_recognition.face_locations(image)
- Print the coordinates of the faces found in the image:
print(face_locations)
- Run the Python file and check the output.
Congratulations! You have successfully installed face_recognition package using Pycharm and Shell/Bash. Now you can use the package for face recognition and other related tasks.