28 lines
1.1 KiB
Python
28 lines
1.1 KiB
Python
|
import numpy as np
|
||
|
|
import cv2
|
||
|
|
import picamera
|
||
|
|
import picamera.array
|
||
|
|
|
||
|
|
WIDTH=640
|
||
|
|
HEIGHT=480
|
||
|
|
|
||
|
|
face_cascade=cv2.CascadeClassifier("./haarcascade_frontalface_alt2.xml")
|
||
|
|
with picamera.PiCamera() as camera:
|
||
|
|
with picamera.array.PiRGBArray(camera) as stream:
|
||
|
|
camera.resolution=(WIDTH, HEIGHT)
|
||
|
|
while True:
|
||
|
|
camera.capture(stream, 'bgr', use_video_port=True)
|
||
|
|
tickmark=cv2.getTickCount()
|
||
|
|
gray=cv2.cvtColor(stream.array, cv2.COLOR_BGR2GRAY)
|
||
|
|
face=face_cascade.detectMultiScale(gray, scaleFactor=1.3, minNeighbors=4)
|
||
|
|
for x, y, w, h in face:
|
||
|
|
cv2.rectangle(stream.array, (x, y), (x+w, y+h), (255, 0, 0), 2)
|
||
|
|
if cv2.waitKey(1)&0xFF==ord('q'):
|
||
|
|
break
|
||
|
|
fps=cv2.getTickFrequency()/(cv2.getTickCount()-tickmark)
|
||
|
|
cv2.putText(stream.array, "FPS: {:05.2f}".format(fps), (10, 30), cv2.FONT_HERSHEY_PLAIN, 2, (255, 0, 0), 2)
|
||
|
|
cv2.imshow('video', stream.array)
|
||
|
|
stream.seek(0)
|
||
|
|
stream.truncate()
|
||
|
|
cv2.destroyAllWindows()
|