I create an automatic smile capture selfie. Here we used the system webcam, and our picture gets captured when we smile.
OpenCV-Python: OpenCV is an excellent tool for image processing and computer vision tasks. It is an open-source library that performs functions like face detection, objection tracking, landmark detection, and much more. OpenCV-python used for computer vision, machine learning, and image processing.
Datetime: For work with date and time.
Playsound: For playsound in our program.
- Import libraries.
- Then we record the video using our system camera(here, laptop front webcam) and VideoCapture(0). Here 0 is used to turn on our system webcam to record.
- Here, we provide the location to access our cascade file(face_cascade, smile_cascade). (Haarcascade is an Object Detection Algorithm used to identify faces in an image or a real-time video. The algorithm uses edge or line detection features. )
- We run a loop to read video (as we know, video is a set of collections of frames) and for performing functions.
- We use cvtColor to convert colour to greyscale to increase accuracy and use detectMultiScale to detect the faces. This function will return a rectangle with coordinates (x, y, w, h) around the detected face, and scaleFactor specifies the image size reduced with each scale.
- Then we run a for a loop; this function recognizes the face and smile.
- We use the rectangle function to draw a rectangle over a face that is detected and again use detectMultiScale.
- We use a nested for loop to put a rectangle on the smile(i.e., lips when in the smiling position).
- For saving the image with time and date in a specific format, we use datetime.datetime.now().strftime() and enter such a particular date and time format.
- Finally, the image (.png format) is stored in the working directory.
