【发布时间】:2021-05-25 03:29:20
【问题描述】:
大家好,我在 python 中编写了一个检测眼睛运动的代码,但它只适用于视频文件。
我应该改变什么让它通过网络摄像头实时检测运动眼睛?
有代码:
import cv2
import numpy as np
cap = cv2.VideoCapture("eye_recording.flv")
while True:
ret, frame = cap.read()
if ret is False:
break
roi = frame[269: 795, 537: 1416]
rows, cols, _ = roi.shape
gray_roi = cv2.cvtColor(roi, cv2.COLOR_BGR2GRAY)
gray_roi = cv2.GaussianBlur(gray_roi, (7, 7), 0)
_, threshold = cv2.threshold(gray_roi, 3, 255, cv2.THRESH_BINARY_INV)
_, contours, _ = cv2.findContours(threshold, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
contours = sorted(contours, key=lambda x: cv2.contourArea(x), reverse=True)
for cnt in contours:
(x, y, w, h) = cv2.boundingRect(cnt)
#cv2.drawContours(roi, [cnt], -1, (0, 0, 255), 3)
cv2.rectangle(roi, (x, y), (x + w, y + h), (255, 0, 0), 2)
cv2.line(roi, (x + int(w/2), 0), (x + int(w/2), rows), (0, 255, 0), 2)
cv2.line(roi, (0, y + int(h/2)), (cols, y + int(h/2)), (0, 255, 0), 2)
break
cv2.imshow("Threshold", threshold)
cv2.imshow("gray roi", gray_roi)
cv2.imshow("Roi", roi)
key = cv2.waitKey(30)
if key == 27:
break
cv2.destroyAllWindows()
【问题讨论】:
标签: python performance optimization real-time