Snapshot of the issue我一直在尝试检测视频中的圆圈。我检查了很多教程和 stackoverflow 问题,我的代码似乎是正确的。它甚至可以正确编译。然而,打开 GUI 窗口需要时间,而且一旦打开,它就会崩溃。这是我的代码,有什么问题吗?
`
import cv2
import numpy as np
cap = cv2.VideoCapture('Red Motion Spin Looping Motion Background.mp4')
while (cap.isOpened()):
ret,img = cap.read()
img = cv2.medianBlur(img,5)
cimg = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
circles = cv2.HoughCircles(cimg,cv2.HOUGH_GRADIENT,1,20,
param1=50,param2=30,minRadius=0,maxRadius=0)
circles = np.uint16(np.around(circles))
for i in circles[0,:]:
# draw the outer circle
cv2.circle(cimg,(i[0],i[1]),i[2],(0,255,0),2)
# draw the center of the circle
cv2.circle(cimg,(i[0],i[1]),2,(0,0,255),3)
cv2.imshow('detected circles',cimg)
cv2.waitKey(0)
cv2.destroyAllWindows()
` 更新:我听从了@Micka 的建议,窗口出现了。然而,它需要很长时间才能打开,并且不会超出视频的第一帧 screenshot of the current situation
最佳答案
以下是使用 Python 2.7.12
和 OpenCV3.2.0
测试的可行代码。
import numpy as np
import cv2
capture = cv2.VideoCapture("001.mp4")
#capture = cv2.VideoCapture(0)
while capture.isOpened():
# grab the current frame and initialize the status text
grabbed, frame = capture.read()
if frame is not None:
# convert the frame to grayscale, blur it, and detect circles
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
blur = cv2.medianBlur(gray,5)
circles = cv2.HoughCircles(blur,cv2.HOUGH_GRADIENT,1,20, \
param1=50,param2=30,minRadius=0,maxRadius=0)
if circles is not None:
# convert the (x, y) coordinates and radius of the circles to integers
circles = np.round(circles[0, :]).astype("int")
#circles = np.uint16(np.around(circles[0,:]))
# loop over the (x, y) coordinates and radius of the circles
for (x, y, r) in circles:
# draw the circle in the output image, then draw a rectangle
# corresponding to the center of the circle
cv2.circle(frame, (x, y), r, (255, 0, 255), 2)
# show the frame and record if a key is pressed
cv2.imshow("Frame", frame)
# if the 'q' key is pressed, stop the loop
if cv2.waitKey(1) & 0xFF == ord('q'):
break
capture.release()
cv2.destroyAllWindows()
主要变化是for (x, y, r) in circles:
循环获取和绘制圆圈。添加cv2.medianBlur()
后视频播放有点慢。它甚至通过 cv2.HoughCircles()
检测进一步减慢。
这是带圆圈的视频播放截图。假设您可能需要修改 cv2.HoughCircles()
函数参数和圆检索以满足您的要求。
希望这对您有所帮助。
关于python - 为什么 python OpenCV GUI 在 linux 上的简单视频圆检测程序中崩溃?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/43812323/