OpenCV當實時提要中未檢測到面部時，退出

所以我正在嘗試撰寫一個代碼，當從網路攝像頭檢測到面部時，它會在面部周圍顯示一個綠色方塊。那部分已經完成。我接下來要做的是，當程式不再檢測到面部時，它會中斷回圈并退出程式。我嘗試通過“if”或“else”或在網上找到一些方法，但我哪兒也不去。有什么辦法嗎？這是我的代碼：

import cv2
import os
import time

cascPath = os.path.dirname(
    cv2.__file__)   "/data/haarcascade_frontalface_alt2.xml"
faceCascade = cv2.CascadeClassifier(cascPath)
video_capture = cv2.VideoCapture(0)
while True:
    ret, frame = video_capture.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = faceCascade.detectMultiScale(gray,
                                         scaleFactor=1.1,
                                         minNeighbors=5,
                                         minSize=(60, 60),
                                         flags=cv2.CASCADE_SCALE_IMAGE)
    for (x,y,w,h) in faces:
        cv2.rectangle(frame, (x, y), (x   w, y   h),(0,255,0), 2)
    cv2.imshow('Video', frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
video_capture.release()
cv2.destroyAllWindows()

uj5u.com熱心網友回復：

添加這個怎么樣？統計未檢測到人臉的次數；如果超過閾值則中斷：

iter_with_no_faces=0 #put this outside the main loop
### put the follwing after updating `faces`
if len(faces) ==0:
    iter_with_no_faces =1
##  add break condition as this:
if iter_with_no_faces >100:
    break

你可以iter_with_no_faces在faces回圈中：iter_with_no_faces=0

總之，這可能需要稍作修改：

import cv2
import os
import time

cascPath = os.path.dirname(
    cv2.__file__)   "/data/haarcascade_frontalface_alt2.xml"
faceCascade = cv2.CascadeClassifier(cascPath)
video_capture = cv2.VideoCapture(0)
iter_with_no_faces=0 #put this outside the main loop
while True:
    ret, frame = video_capture.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = faceCascade.detectMultiScale(gray,
                                         scaleFactor=1.1,
                                         minNeighbors=5,
                                         minSize=(60, 60),
                                         flags=cv2.CASCADE_SCALE_IMAGE)
    for (x,y,w,h) in faces:
        cv2.rectangle(frame, (x, y), (x   w, y   h),(0,255,0), 2)

    if len(faces) ==0:
        iter_with_no_faces =1
    else:
        iter_with_no_faces=0 # I assume you want to continue program when a face detected for a duration. you can omit else statement
    if iter_with_no_faces >100: #set this threshold to larger or smaller number
        break
    cv2.imshow('Video', frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
video_capture.release()
cv2.destroyAllWindows()

uj5u.com熱心網友回復：

import cv2


def main():
    cascPath = './haarcascade_frontalface_alt2.xml'  # path to the xml file - change to your path
    faceCascade = cv2.CascadeClassifier(cascPath)
    video_capture = cv2.VideoCapture(0)
    for i in range(10 ** 10):
        ret, frame = video_capture.read()
        if ret:
            gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
            faces = faceCascade.detectMultiScale(gray,
                                                 scaleFactor=1.1,
                                                 minNeighbors=5,
                                                 minSize=(60, 60),
                                                 flags=cv2.CASCADE_SCALE_IMAGE)
            if len(faces) > 0:
                for (x, y, w, h) in faces:
                    cv2.rectangle(frame, (x, y), (x   w, y   h), (0, 255, 0), 2)
                cv2.imshow('Video', frame)
                k = cv2.waitKey(1)
                if k == ord('q'):
                    break
            else:
                print('No face detected on iter {}'.format(i))
                # add here break or whatever you want to do if no face detected
    video_capture.release()
    cv2.destroyAllWindows()
    return


if __name__ == '__main__':
    main()

標籤：Python opencv 人脸检测

上一篇：在不保存在opencv中的情況下撰寫和閱讀視頻

下一篇：OpenCV：將向量堆疊到墊子上