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Opencv的视频捕捉功能+多线程

import cv2
import numpy as np
from matplotlib import pyplot as plt
import threading
#其中0表示调用笔记本的内置摄像头
cam = cv2.VideoCapture(0)
(ret, img) = cam.read()
img2 = img
img3 = img
img4 = imgdef sift_thread():sift = cv2.xfeatures2d.SIFT_create()(kps, descs) = sift.detectAndCompute(gray, None)cv2.drawKeypoints(gray, kps, img, flags=cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)cv2.imshow('SIFT Algorithm', img)def surf_thread():surf = cv2.xfeatures2d.SURF_create()(kps2, descs2) = surf.detectAndCompute(gray, None)cv2.drawKeypoints(gray, kps2, img2, flags=cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)cv2.imshow('SURF Algorithm', img2)def fast_thread():fast = cv2.FastFeatureDetector_create()kps3 = fast.detect(gray, None)cv2.drawKeypoints(gray, kps3, img3, flags=cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)cv2.imshow('FAST Algorithm', img3)def orb_thread():orb = cv2.ORB_create()kps4 = orb.detect(gray, None)(kps4, des4) = orbpute(gray, kps4)cv2.drawKeypoints(gray, kps4, img4, flags=cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)cv2.imshow('ORB Algorithm', img4)while True:(ret, img) = cam.read()gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)t1 = threading.Thread(name = 'SIFT Algorithm', target = sift_thread)t2 = threading.Thread(name = 'SURF Algorithm', target = surf_thread)t3 = threading.Thread(name = 'FAST Algorithm', target = fast_thread)t4 = threading.Thread(name = 'ORB Algorithm', target = orb_thread)t1.start()t2.start()t3.start()t4.start()t1.run()t2.join()t3.join()t4.join()if cv2.waitKey(1) == 27:breakcv2.destroyAllWindows()

 

本文标签： Opencv的视频捕捉功能多线程

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