OpenCV 目标检测

最新推荐文章于 2024-08-09 00:38:37 发布

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最新推荐文章于 2024-08-09 00:38:37 发布 · 629 阅读

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CC 4.0 BY-SA版权

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#opencv

本文介绍了OpenCV在目标检测中的应用，通过代码实现能够从视频中提取出感兴趣的区域，达到精准定位目标的效果。

作者：ccccting

目标检测

作用

可提取视频中自己所感兴趣的部分

代码

import cv2
import numpy as np

OPENCV_OBJECT_TRACKERS = {
    "csrt": cv2.TrackerCSRT_create,
    "kcf": cv2.TrackerKCF_create,
    "boosting": cv2.TrackerBoosting_create,
    "mil": cv2.TrackerMIL_create,
    "tld": cv2.TrackerTLD_create,
    "medianflow": cv2.TrackerMedianFlow_create,
    "mosse": cv2.TrackerMOSSE_create
}
trackers = cv2.MultiTracker_create()
vs = cv2.VideoCapture("name.mp4")
while True:
    frame = vs.read()
    frame = frame[1]
    if frame is None:
        break
    (h,w) = frame.shape[:2]
    width=600
    r = width/float(w)
    dim = (width,int(h*r))
    frame = cv2.resize(frame,dim,interpolation = cv2.INTER_AREA)
    (success,boxes) = trackers.update(frame)
    for box in boxes:
        (x,y,w,h)= [