ARTH 2.0

Creating a full-fledged menu-driven program through text here might be a bit challenging, but I can guide you through the process of creating a simple menu-driven program in Windows using a programming language like Python. Here's a basic outline: Install Python: If you don't have Python installed, download and install it from the official website. Write the Code: Create a .py file and add the following code:

            Code :- 

In this tutorial, we'll learn how to use Python and OpenCV to capture a photo, detect faces, crop the face, and save it as a grayscale image.  We'll break down the process into the following steps: Step 1: Set Up Environment: Install OpenCV using pip install opencv-python. Ensure you have a camera connected to your device. Step 2: Capture a Photo: Import the necessary OpenCV library. Open a connection to the camera using cv2.VideoCapture(0). Check if the camera opened successfully. Step 3: Detect Faces: Load the cascade classifier for face detection using cv2.CascadeClassifier. Convert the captured photo to grayscale using cv2.cvtColor. Use detectMultiScale to detect faces in the grayscale image. Step 4: Crop and Save Face: If faces are detected, select the first face and extract its coordinates. Crop the face region from the original grayscale image. Save the cropped face as a grayscale image using cv2.imwrite. Step 5: Display Cropped Face: Show the cropped face using cv2.imsh...

 Task 1:                      Launch a Amazon linux instance with default configuration                     Connect with the instance                                          Download the httpd using command sudo yum install httpd -y and start the                                              service using sudo systemctl start httpd                                                   go to cd /var/www/html directory     ...