用Python写一段代码,要求利用卡尔曼滤波器检测视频内容中变化最大的100张帧并保存。
时间: 2023-03-06 13:32:08 浏览: 92
卡尔曼滤波器源程序代码,可用于视频检测中的目标跟踪问题优化....rar
示例代码:
import cv2
import numpy as np cap = cv2.VideoCapture("video.mp4") # 利用卡尔曼滤波器检测变化最大的100张帧
frames = []
for i in range(100):
ret, frame = cap.read() # 将图像转换为灰度图
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) # 应用卡尔曼滤波器
gray = cv2.GaussianBlur(gray, (21, 21), 0)
frames.append(gray) # 计算每帧图像之间的差异
difference = None
for i in range(1, len(frames)):
frame = frames[i]
prev_frame = frames[i - 1]
frame_delta = cv2.absdiff(frame, prev_frame)
thresh = cv2.threshold(frame_delta, 25, 255, cv2.THRESH_BINARY)[1] # 将所有的差异合并
if difference is None:
difference = thresh
else:
difference = cv2.bitwise_and(difference, thresh) # 找出变化最大的100张帧并保存
contours = cv2.findContours(difference.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[1]
for c in contours:
if cv2.contourArea(c) < 1200:
continue
(x, y, w, h) = cv2.boundingRect(c)
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
cv2.imwrite("frame" + str(i) + ".jpg", frame)
阅读全文