Now that face recognition has become a hot topic, major smartphone manufacturers are quickly integrating this technology into their devices. But is face recognition really complicated? Actually, it's not. In fact, you can implement face recognition with just one line of code. Let’s dive in and see how it works!
**System Requirements**
- Ubuntu 17.10
- Python 2.7.14
**Environment Setup**
1. Install Ubuntu 17.10.
2. Python 2.7.14 comes pre-installed on Ubuntu 17.10, so no need to install separately.
3. Install Git, CMake, and Python-pip using the terminal:
```bash
sudo apt-get update && sudo apt-get install git cmake python-pip
```
4. Install and compile dlib, which is a crucial library for face recognition.
5. Once dlib is installed, proceed to install the `face_recognition` package using pip:
```bash
sudo pip install face-recognition
```
6. After installation, open the terminal and type `face_recognition` to verify that everything is working correctly.
**Face Recognition Examples**
**Example 1: One-Line Face Recognition**
1. First, prepare a folder containing images of all the people you want the system to recognize. Each person should have one image, and the filename should match the person's name.
For example, include images of "Babe", "Jackie Chan", and "Joey Yung" in the `known_people` folder.
2. Next, create another folder containing the image(s) you want to identify. Place the image of Han Hong in the `unknown_pic` folder.
3. Run the following command in the terminal, passing both folders as arguments:
```bash
face_recognition known_people unknown_pic
```
The output will show the recognized faces in the image.
**Example 2: Recognize All Faces in an Image and Display Them**
Use the same command but with a single image as input:
```bash
face_recognition unknown_pic/your_image.jpg
```
The system will detect and label all the faces in the image.
**Example 3: Automatic Facial Feature Detection**
Run the following command to automatically detect facial features such as eyes, nose, mouth, and jawline:
```bash
face_recognition --landmarks unknown_pic/your_image.jpg
```
This will generate a detailed map of facial landmarks.
**Example 4: Identify Who Is in the Picture**
You can also use the tool to determine who is present in a group photo. Simply pass the image file to the command, and the system will return the names of the individuals detected.
**Example 5: Detect and Analyze Facial Features and Beauty**
With advanced options, the tool can even analyze facial symmetry, age, and gender. This is useful for applications like beauty analysis or identity verification.
By following these steps, you can easily implement face recognition on your system using just a few commands. Whether you're building a security application or experimenting with AI, this powerful tool makes it simple and accessible.
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