Basic Face Detection

Here I am, doing my finest Trump impression. The blue bounding box is OpenCV detecting my face on the Raspberry Pi. I had to reduce the capture size and frame rate due to the Pi’s lack of processing power but it works pretty well and was able to follow me as I moved around the frame. Here’s the code:

import cv2
import numpy as np
import time

from picamera.array import PiRGBArray
from picamera import PiCamera

camera = PiCamera()
camera.resolution = (320, 240)
camera.framerate = 2
rawcap = PiRGBArray(camera, size=(320, 240))
time.sleep(0.1)

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
scale_factor = 1.3

for frame in camera.capture_continuous(rawcap, format='bgr', use_video_port=True):
    img = frame.array
    faces = face_cascade.detectMultiScale(img, scale_factor, 5)

    for (x, y, w, h) in faces:
        cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)

    cv2.imshow('Image', img)
    rawcap.truncate(0)

    if cv2.waitKey(1) & 0xFF == ord("q"):
        break

cv2.destroyAllWindows()

Computer Vision

Basic Face Detection