Python作业1提交：人脸位置识别，请压缩为不超过10M的动图

肖亚仑

import cv2
import os

face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')

cap = cv2.VideoCapture(0)

fourcc = cv2.VideoWriter_fourcc(*'mp4v')
out = cv2.VideoWriter(os.path.expanduser("~/Desktop/facedetection_output.mp4"), fourcc, 20.0, (640, 480))

start_time = cv2.getTickCount()
seconds = 15

while True:
ret, frame = cap.read()
if ret:

gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

faces = face_cascade.detectMultiScale(gray, scaleFactor=1.3, minNeighbors=5)

for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)
out.write(frame)
cv2.imshow('Face Detection', frame)

if (cv2.getTickCount() - start_time) / cv2.getTickFrequency() > seconds:
break

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

cap.release()
out.release()
cv2.destroyAllWindows()