SSR*_*SSR 8 python opencv video-processing
我想根据视频中不断增加的大小来检测障碍物。为此,我首先在灰度图像上应用 SIFT 以获得当前帧的特征点。接下来将当前帧的特征点与前一帧的特征点进行比较,我想应用蛮力算法。为此,我想在前一帧中获取特征点。如何在 opencv python 中访问前一帧?以及当当前帧是视频的第一帧时如何避免访问前一帧?
下面是用python编写的用于获取当前帧特征点的代码。
import cv2
import numpy as np
cap = cv2.VideoCapture('video3.mov')
while(cap.isOpened()):
ret, frame = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
#detect key feature points
sift = cv2.xfeatures2d.SIFT_create()
kp, des = sift.detectAndCompute(gray, None)
#draw key points detected
img=cv2.drawKeypoints(gray,kp,gray,flags=cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
cv2.imshow("grayframe",img)
if cv2.waitKey(100) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
Run Code Online (Sandbox Code Playgroud)
您还可以获取/设置从零开始的帧索引 (CAP_PROP_POS_FRAMES),如果您希望灵活地退回超过一帧、与特定帧进行比较等,这可能很有用。请注意,尽管这会重置位置下一个 read(),所以如果你真的只想要前一帧,将它存储在每个其他答案的变量中可能更好。
next_frame = cap.get(cv2.CAP_PROP_POS_FRAMES)
current_frame = next_frame - 1
previous_frame = current_frame - 1
if previous_frame >= 0:
cap.set(cv2.CAP_PROP_POS_FRAMES, previous_frame)
ret, frame = cap.read()
Run Code Online (Sandbox Code Playgroud)
小智 5
OpenCV 中没有特定的函数来访问前一帧。您的问题可以通过cap.read()在进入 while 循环之前调用一次来解决。prev_frame在读取新帧之前使用变量来存储前一帧。最后,作为一种好的做法,您应该在对其进行计算之前验证是否正确读取了该帧。您的代码可能类似于:
import cv2
import numpy as np
cap = cv2.VideoCapture('video3.mov')
ret, frame = cap.read()
while(cap.isOpened()):
prev_frame=frame[:]
ret, frame = cap.read()
if ret:
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
#detect key feature points
sift = cv2.xfeatures2d.SIFT_create()
kp, des = sift.detectAndCompute(gray, None)
#some magic with prev_frame
#draw key points detected
img=cv2.drawKeypoints(gray,kp,gray, flags=cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
cv2.imshow("grayframe",img)
else:
print('Could not read frame')
if cv2.waitKey(100) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
Run Code Online (Sandbox Code Playgroud)