一:参考博客
opencv 环境搭建:https://blog.csdn.net/qq_33508087/article/details/83310357
opencv手掌识别:https://blog.csdn.net/qq_33508087/article/details/83476561
二:源码
下载汽车识别分类器:https://pan.baidu.com/s/1ui2IV2FR0vkfHGFI0NDNBw
提取码:g98j
源码根据手掌识别修改:
注意:分类器放到和程序一个目录下
#!/usr/bin/env python
#手掌识别
import cv2
import os
hand_Cascade = cv2.CascadeClassifier("sideview_cascade_classifier.xml")
hand_Cascade.load('sideview_cascade_classifier.xml')
cap = cv2.VideoCapture(1)
flag = 0
timeF = 10
while True:
flag+=1
ret, frame = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
rect = hand_Cascade.detectMultiScale(
gray,
scaleFactor=1.1,
minNeighbors=8,
minSize=(2,2),
flags = cv2.IMREAD_GRAYSCALE
)
for (x, y, w, h) in rect:
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 0, 255), 2)
cv2.imshow('frame', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
效果展示:
三:总结
识别效果的好坏与样本有着非常大的关系,汽车侧身识别率最高
有疑问者请联系:QQ:1735915513