一:參考部落格
opencv 環境搭建:https://blog.csdn.net/qq_33508087/article/details/83310357
opencv手掌識别:https://blog.csdn.net/qq_33508087/article/details/83476561
二:源碼
下載下傳汽車識别分類器:https://pan.baidu.com/s/1ui2IV2FR0vkfHGFI0NDNBw
提取碼:g98j
源碼根據手掌識别修改:
注意:分類器放到和程式一個目錄下
#!/usr/bin/env python
#手掌識别
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:
![](https://img.laitimes.com/img/_0nNw4CM6IyYiwiM6ICdiwiIwczX0xiRGZkRGZ0Xy9GbvNGL2EzXlpXazxyMnRUT0EEVOpXT6hFeGNDTwYVbiVHNHpleO1GTulzRilWO5xkNNh0YwIFSh9Fd4VGdsATMfd3bkFGazxyaHRGcWdUYuVzVa9GczoVdG1mWfVGc5RHLrJXYtJXZ0F2dvwVZnFWbp1zczV2YvJHctM3cv1Ce-cmbw5iM0QDM0cTMwMDMxgTMwIzLc52YucWbp5GZzNmLn9Gbi1yZtl2Lc9CX6MHc0RHaiojIsJye.png)
三:總結
識别效果的好壞與樣本有着非常大的關系,汽車側身識别率最高
有疑問者請聯系:QQ:1735915513