如何增加输出中的fps

Question

我正在尝试对视频文件进行人脸检测。我正在使用openCV HAAR人脸检测器。我还通过合适的因子调整图像大小以实现更快的处理。我也使用了多个线程，但线程是顺序的。输出视频滞后很多。 我希望输出与输入帧一样快。有关如何提高o / p视频中帧速率的任何建议。 线程也可以并行使用吗？如果是，怎么样？

面部检测模块写在faceDetector.py文件中

样品给出25 fps。

该程序适用于webCam。

我的代码：

import cv2

from threading import Thread

from faceDetector import Face

cap = cv2.VideoCapture("sample2.mp4")

class T1(Thread):

    def  __init__(self, frame):
        Thread.__init__(self)
        self.frame = frame
        self.imgResized = None

    def run(self):
        self.imgResized, self.faces = FaceDetection(self.frame)



class  T2(Thread):

    def __init__(self, img, faces):
        Thread.__init__(self)
        self.img = img
        self.faces = faces

    def run(self):
        Faceobj.RectAroundFace(self.faces, self.img)
        # cv2.imshow("faces in video", self.img)

class T3(Thread):

    def __init__(self, img):
        Thread.__init__(self)
        self.img = img

    def run(self):
        cv2.imshow("faces in video", self.img)


def FaceDetection(img):

    imgPreProcessed, imgResized = Faceobj.preprocessing(img)
    faces = Faceobj.detectFace(imgPreProcessed)
    return imgResized, faces

Faceobj = Face()

while (cap.isOpened):

    ret, frame = cap.read()
    # print cap.get(cv2.cv.CV_CAP_PROP_FPS)
    # cap.set(cv2.cv.CV_CAP_PROP_FPS, 60)

    if not ret :
        break

    thread_1 = T1(frame)
    thread_1.start()
    thread_1.join()
    thread_2 = T2(thread_1.imgResized, thread_1.faces)
    thread_2.start()
    thread_3 = T3(thread_2.img)
    thread_3.start()
    thread_3.join()

    if (cv2.waitKey(1) & 0xFF == 27):
        break