navprogramer的博客

输入：视频流输出：裁减之后（每帧）的视频流import cv2import numpy as npvideo_path = '自己的视频所在路径'capture = cv2.VideoCapture(video_path)while True: ret, im0 = capture.read() # 根据读取视频流帧的长宽生成全部为0的mask mask = np.zeros(im0.shape[:2], np.uint8) # 因为思路是根据mask进行

使用opencv-python进行背景提取1. 读取视频文件video_path = '自己的视频路径,avi格式'capture = cv2.VideoCapture(video_path)2. 构造形态学使用的 kernel ,构造高斯混合模型se = cv2.getStructuringElement(cv2.MORPH_RECT, (3, 3))model = cv2.createBackgroundSubtractorMOG2() # history=500, var..