raspberry

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Operating System

• Raspberry Pi OS (64-bit), latest version recommended.

Python Environment

• Python Version: 3.9 or higher
• Virtual Environment: Python venv or virtualenv is recommended.

Required Libraries

• flask==2.1.3
• flask-socketio==5.2.0
• picamera2
• opencv-python-headless==4.5.3.56
• numpy==1.21.2
• face_recognition==1.3.0
• dlib==19.22.99
• mtcnn==0.1.0
• eventlet==0.31.0
• gevent==21.8.0

Additional Notes

Update Pip and Setuptools

Ensure that pip and setuptools are updated to the latest versions before installing the required libraries:

pip install --upgrade pip setuptools

Learn how to install Dlib and Face_Recognition on your Raspberry Pi for efficient face detection and recognition

Installing Dlib on Raspberry Pi

To install Dlib on your Raspberry Pi, follow these detailed steps to ensure a smooth setup. This guide assumes you have a Raspberry Pi running a compatible version of Raspbian OS.

Step 1: Update Your System

Before starting the installation, it's crucial to update your system packages. Open a terminal and run the following commands:

sudo apt update
sudo apt upgrade

Step 2: Install Required Dependencies

Dlib requires several libraries to function correctly. Install the necessary dependencies with the following command:

sudo apt install build-essential cmake python3-dev python3-pip libatlas-base-dev

Step 3: Install Dlib

Now, you can install Dlib using pip. It's recommended to use a virtual environment to avoid conflicts with other packages. First, install the virtual environment package:

sudo pip3 install virtualenv

Create a new virtual environment:

virtualenv dlib_env

Activate the virtual environment:

source dlib_env/bin/activate

Now, install Dlib:

pip install dlib

Step 4: Install face_recognition

To use Dlib for face recognition, you can install the face_recognition library, which simplifies the process. Run the following command in your activated virtual environment:

pip install face_recognition

Step 5: Verify the Installation

To ensure that Dlib and face_recognition are installed correctly, you can run a simple Python script. Create a new Python file and add the following code:

import dlib
import face_recognition

print("Dlib and face_recognition installed successfully!")

Run the script:

python your_script_name.py

If you see the success message, your installation is complete!

Additional Resources

For more detailed information, you can refer to the official Dlib documentation at Dlib Documentation.

By following these steps, you should have Dlib and face_recognition installed on your Raspberry Pi, ready for your projects.

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