使用OpenCV Python-2.7进行全身检测和跟踪

使用C可以使用很多材料.我想知道是否有办法在Python-2.7中使用OpenCV进行全身检测？

鉴于一个人沿着矢状平面行走的视频(摄像机从行走方向取90度),我想将一个感兴趣的区域限制在覆盖整个人体的矩形上,并逐帧跟踪运动.

解决方法:

这个是使用hog描述符你可以在samples / python / peopledetect.py中找到样本我使用了opencv安装提供的示例视频.

import numpy as np
import cv2


def inside(r, q):
    rx, ry, rw, rh = r
    qx, qy, qw, qh = q
    return rx > qx and ry > qy and rx + rw < qx + qw and ry + rh < qy + qh


def draw_detections(img, rects, thickness = 1):
    for x, y, w, h in rects:
        # the HOG detector returns slightly larger rectangles than the real objects.
        # so we slightly shrink the rectangles to get a nicer output.
        pad_w, pad_h = int(0.15*w), int(0.05*h)
        cv2.rectangle(img, (x+pad_w, y+pad_h), (x+w-pad_w, y+h-pad_h), (0, 255, 0), thickness)


if __name__ == '__main__':

    hog = cv2.HOGDescriptor()
    hog.setSVMDetector( cv2.HOGDescriptor_getDefaultPeopleDetector() )
    cap=cv2.VideoCapture('vid.avi')
    while True:
        _,frame=cap.read()
        found,w=hog.detectMultiScale(frame, winStride=(8,8), padding=(32,32), scale=1.05)
        draw_detections(frame,found)
        cv2.imshow('feed',frame)
        ch = 0xFF & cv2.waitKey(1)
        if ch == 27:
            break
    cv2.destroyAllWindows()

结果

不太好.还是试一试
 

标签：object-detection,python,python-2-7,opencv
来源： https://codeday.me/bug/20190926/1822098.html